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This study examines the potential of virtual reality (VR) technology in language learning, specifically for the Maltese language. Despite the popularity and advancement of VR, its use in teaching minor languages like Maltese has not been extensively explored. The concern is that the lack of technological resources may lead to the extinction of the Maltese language in the digital world. The study utilizes a primarily qualitative research methodology, with a minor quantitative component, to collect data from twenty-five teachers regarding the use of VR in Maltese language learning contexts. The findings reveal both the potential benefits and challenges of using VR in teaching Maltese as a second language (ML2). Although the participants have not used VR for teaching Maltese due to the absence of Maltese VR apps, they have experience with VR in English. They praise VR for its ability to create an immersive and engaging learning environment with entertaining features. However, the study also highlights several challenges associated with VR, including high costs, the bulkiness of headsets, and technical issues. It underscores the pressing need for additional research and development in this field to ensure the preservation of the Maltese language in the digital era.

Augmented Reality (AR) has been continuously adopted in K-12 settings, showing its beneficial impact. Despite numerous studies highlighting the benefit of AR that can enhance students' motivation, no meta-analysis providing an in-depth look into AR's impact on students' motivation has been conducted, particularly in K-12 settings. In this meta-analysis, we meta-analyzed 45 experimental studies using AR in K-12 settings from 2010 to 2022, guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis procedure. We also conducted a moderator analysis considering diverse instructional considerations and study features, to offer a more focused and comprehensive understanding of AR's effect on K-12 students' motivation. The results showed a large effect of AR on enhancing K-12 students' motivation (g = 0.803). Furthermore, we found that marker-based AR and collaborative learning significantly promoted K-12 students' motivation, compared to location-based AR and non-collaborative learning experiences. The results indicated AR in K-12 settings needs to be carefully designed, considering how it is integrated within pedagogical practice. The implications and future research direction for researchers, educational practitioners, and AR developers are also discussed.

Dialectical thinking is a way of discussing and analyzing things from different viewpoints to reach a solution. It is often taught in language courses by conducting argumentation activities. However, without providing effective strategies or tools, learners generally encounter difficulties in structuring their viewpoints during the argumentation process. To solve this problem, this study proposed dialectical constructivist scaffolding-based argumentation mapping (DCS-AM), which integrates a structured, four-stage process to support students' dialectical thinking and oral and dialogical argumentation complexity. The argumentation map refers to a visualized tool that enables learners to structure their viewpoints for making arguments. A quasi-experiment was conducted in an English as a Foreign Language course. A total of 26 students were in the DCS-AM group, while 22 students were in the conventional constructivist scaffolding-based argumentation mapping (CS-AM) group, which adopted a more conventional format, emphasizing direct discussion and teacher-led knowledge transmission. The experimental results found that students in the DCS-AM group exhibited significantly better dialectical thinking than those in the CS-AM group. Also, an epistemic network analysis (ENA) of oral and dialogical argumentation revealed that students in the DCS-AM group frequently developed more complex argumentation than those in the CS-AM group in terms of the structural component and discourse activity, including the process of students' dialectical thinking that was found in both groups. This finding shows that technology-supported dialectical constructivist scaffolding can help students improve their dialectical thinking and argumentation skills.

The effectiveness of digital game-based language learning (DGBLL) has been recognized by scholars. With the development of computer technology and multimedia learning environments, computer agents have been widely used in game systems to provide learning guidance or assistance. A computer agent is a virtual character created in a digital learning system to achieve instructional goals. However, in traditional teaching systems, computer agents are designed to perform a single role, such as a teacher or a student. Computer agents with a single interactive logic often lack the functionality required to understand students' conditions and needs from various perspectives, and cannot adapt for better learning support. Therefore, this study proposed an adaptive role-switching strategy that allows computer agents to adjust their roles and functions according to students' needs in digital games to promote their learning achievement. An adaptive computer agent-based digital game was developed to investigate the impact of this model on English vocabulary learning achievement, motivation, self-efficacy, and English anxiety among EFL (English as Foreign Language) students. A quasi-experiment was designed and 56 middle school students in four classes were recruited. Two classes (n = 30) were arranged to be the experimental group which used an adaptive computer agent-based digital game (adaptive computer agent-based digital game, ACA-DG), while two classes (n = 26) were arranged to be the control group which used the conventional computer agent-based digital game (conventional computer agent-based digital game, CCA-DG). The results showed that students in the experimental group had significantly higher learning achievement and self-efficacy than those in the control group. On the other hand, students in the experimental group had significantly lower English anxiety than those in the control group. There was no significant difference between the two groups regarding learning motivation.

Technology-mediated interactions and datafication are increasingly central in contemporary social dynamics and institutions, including teaching and learning processes. In order to fully understand the complex entanglements of human and non-human actants that emerge in postdigital education, it is essential to imagine new methodological approaches that are sensitive to the multidimensional nature of education--as a socially and materially-situated phenomenon that increasingly takes place across distributed contexts. The overall goal of this paper is to propose and operationalise a new methodological approach for the study of technology in education. It draws on the notion of relational topologies to improve our understanding of educational settings and, ultimately, how learning unfolds. The proposed approach relies on a multi-paradigm enquiry strategy, based on the idea of using "topologies of digital data practices" in combination with the three dimensions that articulate design-for-learning processes according to the Activity-Centred Analysis and Design (ACAD) framework: epistemic, social and set designs. While the article focuses on presenting the elements of the approach from a theoretical perspective, we illustrate its application through the data collected in a small case study that will serve as a testbed. The topologies of relations we present in this article show uses of technology--as described by participants in their own learning experience--that involve different spaces, devices, and personal situations. In doing so, we reveal how humans and non-humans are entangled in hybrid, unstable and generative ways. The article concludes with some remarks on the value of the proposed approach for studying technology in education and its potential to explore the state-of-the-actual in this field, with the ultimate goal of helping inform educational research, practice and decision-making.

The aim of this paper was to explore the use of autoethnography methodology, a non-traditional and reflective approach, in educational technology research. Autoethnography involves a critical analysis of personal experiences and stories being positioned within the larger cultural, political, and social context. Following an overview of the origin and development of autoethnography as empirical research, the authors discuss autoethnography in the context of educational technology research by considering its epistemological and methodological issues. In this paper, the authors also consider autoethnography and its relationship to other qualitative research approaches. Essential components and summarized evaluation criteria for novice autoethnographers are shared. Lastly, the paper reflects on the potential benefits as well as the challenges that those writing an autoethnography will inevitably face. There is a need for autoethnography research in our field to reveal voices hidden in mainstream educational technology research.

The predominance of western paradigms and a frequent failure to consider and theorize the non-neutrality of schools and technology leaves an ontological and epistemological gap in educational technology studies. Specifically, it leads to thin research on the role of power, the collective, and the intersections with technology that can alter our interaction with the world. The current narrow approach hobbles the imagination of the field, constraining the possibilities for technology and education. We propose three research frames that are relatively new to the field of educational technology. These frames acknowledge the interdisciplinary and socially embedded nature of technology and the systems of power that exist in both schools and technology: "Collective Framing, Critical Race Theory (CRT) Framing," and "Ecological Framing." We synthesize the possibilities of these approaches for educational technology research, identifying how they can push the field to consider different epistemological, ontological, and axiological approaches. We identify potential areas of research and consider implications for the field of educational technology. While each frame offers its particular theoretical contribution, taken together, all three frames suggest the sociocultural, epistemological, and political limitations of the field known as educational technology. Finally, we return to the initial wonderings of our paper, imagining the possibilities for ed tech research if the field confronted the hegemonic western paradigms embedded within itself.

Educational Design Research (EDR) employs a diverse range of methods to study learning, teaching, design, and technology--and new ones are shared in this special issue. We contend that a focus on methods inherently requires examination of the questions they are used to answer and the ways in which the resulting findings advance scientific understanding. Specifically, this article focuses on obtaining and guarding methodological fit in EDR. It describes three main orientations to research inherent in EDR trajectories (research for, on, and through interventions), the kinds of questions we ask in each, how our methods evolve accordingly, and challenges to alignment that are often encountered along the way. Thereafter, it offers examples of the three orientations in two different doctoral studies on innovative educational technologies, each of which demonstrates methodological fit as well as relevance for practice despite the phase-related shifts in focus, questions, and methods. The article concludes with a framework for assessing methodological fit both within and across the three orientations to EDR in two studies, along with broader recommendations for conducting EDR in the field of educational technology.

In the field of educational technology and instructional design, research methods are emerging that aim to curate different forms of knowledge and insights beyond traditional research studies, or what Reigeluth and An (in Reigeluth and Carr-Chellman (eds) Instructional-design theories and models: Building a common knowledge base, Lawrence Erlbaum Associates, Mahwah, 2009) refer to as "research to prove." As a result of evolving efforts in this area, editors of research journals in the field are receiving increased submissions employing these methods but have detected some persistent confusion among authors surrounding them. This has resulted in authors submitting articles with muddled methodologies and to outlets that may not be a fit for the work an author seeks to share. It can even be unclear whether authors intentionally employed a specific design-related method prior to reporting. In this piece, we will cover four methods--instructional design cases, case studies, design-based research, and formative evaluation of designs/products--to provide clarity for both graduate students and researchers. For each of these, we will provide definitions, discuss exemplars and features of exemplars, summarize key features that should be present in such a study and its reporting, and provide guidance on front-end intentional design and planning for research studies that employ these methodologies. Additional clarity on these methods can better support scholars and emerging scholars in their roles as researchers, authors, and reviewers.

The emergence of immersive digital technologies, such as shared augmented reality (shAR), virtual reality (VR) and motion capture (MC) offers promising new opportunities to advance our understanding of human cognition and design innovative technology-enhanced learning experiences. Theoretical frameworks for embodied and extended cognition can guide novel ways in which learning in these environments can be understood and analyzed. This conceptual paper explores a research method in Educational Technology--multimodal analysis for embodied technologies--and provides examples from shAR, VR, and MC projects that use this approach. This analysis involves tracking learners' gestures, actions on physical and virtual objects, whole body movements and positions, and their talk moves, in addition to other relevant modalities (e.g., written inscriptions), over time and across space. We show how this analysis allows for new considerations to arise relating to the design of educational technology to promote collaboration, to more fully capture students' knowledge, and to understand and leverage the perspectives of learners.

Researchers tasked with understanding the effects of educational technology innovations face the challenge of providing evidence of causality. Given the complexities of studying learning in authentic contexts interwoven with technological affordances, conducting tightly-controlled randomized experiments is not always feasible nor desirable. Today, a set of tools is available that can help researchers reason about cause-and-effect, irrespective of the particular research design or approach. This theoretical paper introduces such a tool, a simple graphical formalism that can be used to reason about potential sources of bias. We further explain how causal graphs differ from structural equation models and highlight the value of explicit causal inference. The final section shows how causal graphs can be used in several stages of the research process, whether researchers plan to conduct observational or experimental research.

The rapid growth in digital technologies continues to accelerate, bringing not only new opportunities, but also new challenges and needs to the field of education. As educational technologists design research to improve the implementation of learning technologies, they must adapt their research approaches to social and cultural contexts. In Participatory Action Research (PAR), teachers, students, or other members of the educational community participate as co-researchers who collaborate with researchers to build understanding and solve problems that are relevant to the school or community. This article describes the purpose, background, characteristics, and potential applications of PAR methods. It employs a meta-synthesis approach to investigate five adult-youth PAR collaborations that implement educational technology to meet needs in diverse educational and community settings. The main questions asked are: (1) How can PAR advance educational technology research?; and (2) In educational technology research, how can adult and youth collaborations in PAR benefit learning and the community? Results show that PAR collaborations not only provide opportunities to gather and assess information, but can also increase dialogue that leads to meaningful understanding, insightful action, and positive change in the community and digital environments. Findings suggest that, in educational technology research that is focused on improving learning or addressing a community need, combining technology with adult/youth collaborative research relationships can increase insights and understanding while moving community members to actively address the issue.

Research fields related to learning (e.g., educational technology and learning sciences) have historically focused on what questions using traditional methods (e.g., comparing different learning tools and methods). New methodologies that are grounded in learning, engagement, and motivational theories are needed to additionally address the how questions. Methodologies that use learners' process data shed more light on how learners learn and if the learning tools are effective, compared to methodologies that use just outcome data. In this paper, we discuss stealth assessment--an evidence-based methodology that can be used in technology-rich environments (e.g., games) to assess and support hard-to-measure constructs (e.g., creativity) as well as knowledge acquisition (e.g., physics). We also discuss evidence-centered design (ECD), and present specific steps to design, embed in a digital learning environment, and evaluate a stealth assessment. Additionally, we provide two examples of stealth assessment studies in the context of an educational game called "Physics Playground": Study 1 illustrates a stealth assessment of creativity and Study 2 describes a stealth assessment of physics understanding and how we used it to make the game adaptive. The purpose of this paper is to provide sufficient detail about stealth assessment to help researchers in the field of educational technology and related fields to adopt this method to assess, foster, and investigate learning processes in various technology-rich environments.

Mixed methods research is becoming more prevalent in educational technology due to its potential for addressing complex educational problems by integrating qualitative and quantitative data and findings. At the same time, a growing chorus of researchers laments the quality and rigor of research in this field. Mixed methods studies which demonstrate explicit integration in educational technology research are scarce, and even fewer apply integration strategies recommended in the literature, such as visual joint displays. Failure to address the challenge of comprehensive integration may result in missed opportunities for deeper insights. To address this methodological problem, the purpose of this paper is to shed light on the procedures, opportunities, and practical challenges associated with mixed methods integration through the use of visual joint displays as an analytical tool for data interpretation and reporting in these types of designs. Using an exploratory sequential mixed methods multiple case study design as an illustrative example, we will (1) provide step-by-step guidance on how to develop a visual joint display to conduct an integrated analysis in a complex mixed methods design; (2) demonstrate how to use a display of this type to integrate meta-inferences previously generated through a series of interconnected joint displays; and (3) illustrate the benefits of integrating at the literature review, theoretical, analysis, interpretation, and reporting levels in mixed methods studies. This methodological article aims to advance knowledge in educational technology research by addressing the integration challenge in mixed methods studies and assisting researchers in this field in achieving comprehensive integration at multiple levels.

Research on the educational value of play tends to focus on active players, especially when evaluating novel interaction technologies. However, a long history of scholarship underscores observing communal practice as a primary means of enculturation and learning. This paper demonstrates learning opportunities available within a range of participation forms--from spectator to player and some in between--that emerge around "Geometris," a collaborative, body-scale geometry game, as installed in a children's science museum. Considering learning as participation in communal practice, I present frequency analysis of roughly 350 participants followed by thick narrative descriptions of 3 focal groups to characterize the learning opportunities available within diverse forms of participation in this technologically enabled gameplay. I also identify particular design elements--namely the user-agnostic input mechanism and certain crowd control measures--that inadvertently enabled these participation forms. Theoretical implications include the pedagogically relevant range of action-perception possibilities available across participation forms. Additionally, proposed design heuristics could facilitate these diverse forms of participation in other educational designs.

Educational chatbots are gaining momentum due to their distinctive affordances of interactivity, immediacy, ease of use, and individualized experience. However, a fairly limited body of literature discusses how a chatbot can facilitate collaborative learning among peers in extensive reading contexts to encourage more vibrant interactions supporting further interest development. Therefore, this research aimed to analyze the affordances and limitations of a chatbot to facilitate human-human interactions by incorporating the refined Academically Productive Talk framework for nurturing a learning community, forming accurate knowledge, fostering rigorous thinking, and encouraging affective responses for elementary school learners. Specifically, the purpose of the research was to observe the situational interest of the learners, their interaction patterns, and their social learning behaviors. This research developed a chatbot stored with 64 children's storybooks to initiate and facilitate peer dialogues. A group of 30 learners were paired up to conduct two chatbot-facilitated dialogic reading activities. A total of 30 discourse logs and students' feedback on a survey of situational interest were analyzed. The discourse analysis of this research supports the affordances of the chatbot acting as an effective dialogue initiator and discussion facilitator to support both human-chatbot and human-human social learning. The chatbot encourages a diverse interactive dialogic climate, and four interaction patterns were identified. The situational interest of the initial encounter with the chatbot was boosted; however, their interest was unable to be sustained. The implications for the affordances and limitations of educational chatbots are discussed.

Developing countries around the world are scaling up education interventions. New educational technologies offer opportunities to develop new models to deliver quality education at scale. However, the literature suggests that defining scale is complex, especially in heterogeneous contexts. This paper provides a conceptualization of scale as a dynamic process with three key dimensions: 'quantity', 'diffusion,' and 'quality' through the case of a multi-state, multi-stakeholder program called Connected Learning Initiative in India. It also describes the implementation processes that involve teacher professional development, student engagement, technological developments, and efforts to improve classroom processes in a multifactor environment of stakeholder needs, context, and variance in resources. In conclusion, robust and flexible design approaches for scale are discussed, with implications for further research.

This qualitative research study aims to examine the potential of the commercially available serious game, Spiritfarer. The study focuses on the game's unique approach to serious themes and its ability to facilitate discussions about grief. A grounded theory approach was used to analyze lived experience descriptions from 54 participants. Findings indicate that Spiritfarer can impact gamers' outlook, knowledge, and behaviors, particularly related to grief, empathy, and loss management. The game achieves this through effective game design principles that generate emotional reactions and establish a connection between the narrative, characters, and players.

Data-based decision-making is a well-established field of research in education. In particular, the potential of data use for addressing heterogeneous learning needs is emphasized. With data collected during the learning process of students, teachers gain insight into the performance, strengths, and weaknesses of their students and are potentially able to adjust their teaching accordingly. Digital media are becoming increasingly important for the use of learning data. Students can use digital learning platforms to work on exercises and receive direct feedback, while teachers gain data on the students' learning processes. Although both data-based decision-making and the use of digital media in schools are already widely studied, there is little evidence on the combination of the two issues. This systematic review aims to answer to what extent the connection between data-based decision-making and the use of digital learning platforms has already been researched in terms of using digital learning data for further instructional design. The analysis of n = 11 studies revealed that the use of data from digital learning platforms for instructional design has so far been researched exploratively. Nevertheless, we gained initial insights into which digital learning platforms teachers use, which data they can obtain from them, and how they further use these data.

Painting is the most fundamental kind of art, and is one important part of creative practice in art courses. In typical painting classes, students paint a picture independently with only a few theoretical explanations and may lack authentic experience of the painting topic. It would therefore be meaningful to construct a new painting form to enhance students' learning efficiency and creativity. Previous research indicated that high-quality collaboration and digital technology have the potential to enhance students' innovation in art courses. Therefore, in the current study, a virtual reality-based collaborative painting (VR-CP) approach was developed and applied to painting in a primary school art class to verify its effectiveness. A total of 45 fifth graders from China were recruited and randomly divided into an experimental group, with 21 students learning with the VR-CP approach, and 24 students in the control group, which adopted the conventional paper-and-brush collaborative painting (C-CP) approach. The results showed that the VR-CP approach can facilitate students' creative thinking behaviors of exploring, knowing what they want to do, analyzing ideas, and taking risks, as well as the development of product creative quality. It was found that the students learning with the VR-CP approach tended to demonstrate better collaboration levels and used more bidirectional-sharing strategies than the students learning with the C-CP approach.

Although user-generated microgames, defined as very simple games made by non-professionals on open platforms, are popular and appear to have considerable advantages in facilitating learning, further exploration is needed to establish their potential in instructional practices. The present study investigates the design, participation and experience of teaching and learning facilitated by user-generated microgames on an open educational platform. Through an exploratory experiment research method, four elementary school teachers designed and implemented microgame-based learning utilising these very small games on GeoGebra Classroom attended by 129 students. Data were gathered from lesson plans, classroom activity records and self-reflection questionnaires. This study revealed that teachers designed learning with various user-generated microgames and debriefing methods respecting learning content, but they shared comparatively similar scenarios by inserting microgame-based learning into the middle of the main session. The completion rate for the debriefing activity is minimum although the total joining times overshoot the number of students. Teachers found that user-generated microgames are acceptable to orchestrate short serious gaming sessions even though they are limited to one player with basic interfaces. Notwithstanding several disadvantages of these microgames recognised by students, such as missing learning instructions and inadequate interfaces, they so far enjoy learning by playing the games. The most critical implication of this study is to provide sufficient instructions and additional time for microgaming sessions in elementary schools to ensure sustainable completion of the briefing, playing and debriefing activities.

Educational technology plays an increasingly significant role in supporting Self-Regulated Learning (SRL), while the importance of Adaptive Learning Technology (ALT) grows due to its ability to provide personalized support for learners. Despite recognizing the potential of ALT to be influential in SRL, effectively addressing pedagogical concerns about using ALT to enhance students' SRL remains an ongoing challenge. Consequently, learners can develop perceptions that ALT is not customized to their specific needs, resulting in critical or dismissive attitudes towards such systems. This study therefore explores the potential of combining Natural Language Processing (NLP) to enhance real-time contextual adaptive learning within an ALT to support learners' SRL. In addressing this question, our approach consisted of two steps. Initially, we focused on developing an ALT that incorporates learners' needs. Subsequently, we explored the potential of NLP to capture pertinent learner information essential for providing adaptive support in SRL. In order to ensure direct applicability to pedagogical practice, we engaged in a one-year co-design phase with a high school. Qualitative data was collected to evaluate the implementation of the ALT and to check complementary possibilities to enhance SRL by potentially adding NLP. Our findings indicate that the learning technology we developed has been well-received and implemented in practice. However, there is potential for further development, particularly in terms of providing adaptive support for students. It is evident that a meaningful integration of NLP and ALT holds substantial promise for future enhancements, enabling sustainable support for learners SRL.

Laboratory courses can help students learn in a meaningful way. In the past, students encountered difficulties in chemistry laboratory courses due to limited access to equipment and space for practicing experimental operations. In recent years, virtual laboratories have allowed students to repeatedly practice in order to achieve their experimental goals. However, even when students follow the experimental protocol, some still cannot fully understand the principles and meaning of the experimental procedures. Therefore, when they encounter unexpected situations in experiments, they may not know how to handle them. Thus, this study incorporated a concept mapping-guided learning approach to facilitate students' understanding of the concepts of the experimental process and the relationship between experimental procedures before virtual laboratory practice. Using a quasi-experimental approach, 51 middle school students aged 12 to 13 years were assigned to an experimental group (M = 12, F = 14) using the concept mapping-guided virtual laboratory learning approach, and a control group (M = 12, F = 13) using the conventional virtual laboratory learning approach. The experimental group improved their science process skills, problem-solving awareness, and creative thinking tendency. Teachers can employ guided virtual laboratory learning approaches to help students experiment and understand concepts.

This study, originally prompted by the impact of the COVID-19 pandemic on educational practices, examined Canadian faculty members' expectations of teaching and learning modalities in the year 2026. Employing a speculative methodology and thematic analysis, interview responses of 34 faculty members led to the construction of three hypothetical scenarios for future teaching and learning modalities: a hybrid work model, a high tech and flexible learning model, and a pre-pandemic status quo model. In contrast to radical education futures described in the literature, the findings do not depart significantly from dominant modes of teaching and learning. Nevertheless, these findings offer insights into the expectations that Canadian faculty members have with respect to future teaching and learning modalities, the contextual issues and concerns that they face, the use of speculative methodologies in educational technology research, and the potential impacts remote learning trends have on the future of higher education in Canada.

A retrospective review of 50 years of research and development experience showing the connectedness of the author's theoretical ideas to practical application. An effort to show designers how over the span of a career new ideas begin as work-related insights and discoveries that by problem solving flow together to create a unique personal view of design and designing. Encouragement for individual designers to be willing to experiment with new ideas that may step beyond received practice and to learn from those experiences, even to the extent of testing and adopting new worldviews that may differ from the general view. Encouragement for revisiting foundational documents of the field of educational and instructional technology to examine the intent of the founders and to build possible alternative interpretations of their meaning. A recommendation of topics the field should consider to maintain relevance within a rapidly changing theoretical and technical landscape.

In the United States, culturally responsive computing is a framework that aims to support broadening the participation of racially and linguistically diverse children in computing and technology education through bottom-up interventions that are community-oriented, technology rich, and culturally dynamic. Despite the important role that youth sports play in many local neighborhoods and communities across demographic groups there is only a small amount of research on developing culturally responsive computing education that incorporates these activities. We report findings from a culturally responsive computing collaboration between computing education researchers and coaches, mentors, and academic staff who ran a youth boxing program that predominantly served African American children. The purpose of the collaboration was to learn about and represent the adults' expertise and knowledge in the co-development of culturally responsive computing activities. Using an emergent mixed methods research design, we collected qualitative data (i.e., interviews and group discussions) and quantitative data (i.e., pre- and post-surveys) throughout the collaboration. We analyzed these data to study how coaches, mentors, and staff members brought their knowledge and expertise to bear on the co-development of culturally responsive computing activities for the youth boxing program. Our findings show how the coaches, mentors, and academic staff used their expertise and knowledge in ways that leveraged boxing culture to go beyond boxing itself in the co-development of the activities. In addition, even when connections between computing and boxing did not appear authentically motivated this did not negate the adults' engagement with the culturally responsive computing project. These findings have implications for anti-deficit theorizing about authenticity and inauthenticity in the co-development of culturally responsive computing in youth sports contexts. The construction of authenticity in culturally responsive computing might be less understood as a direct translation from community into education and more so as a negotiation between locally defined demarcations of what is considered authentic and inauthentic.

This study explores educational technology infusion in the U.S. school district context. We used a complex systems perspective to understand the interactions between the classroom (micro), building (meso), and organization (macro) system levels of a school district, offering insight into "how" and "why" certain permutations of tools, content, and practices are effective and impactful. We used comparative case study methods to understand (a) patterns in teachers' implementation of digital technologies in early elementary classrooms and (b) the organizational system that influences those patterns in one small school district serving a mixed suburban/rural community. Data were collected over 12 months, and included: elementary classroom observations, interviews with principals and district leaders, and student performance data. Our findings trace activities within and connections across levels of a district organization undergoing technology infusion. We found that district administration established human-centered leadership practices to facilitate instructional technology integration and principals maintained this leadership ethos in variable ways. Teachers leveraged technology for personalization and collaborative learning, and used robust classroom management routines to anchor complex instruction with young children. The findings highlight key considerations for system leaders, technologists, and policymakers; in particular, establishing a professional culture that offers widespread support for instructional experimentation.

Privacy is a central issue in the digitalization of society and directly concerns all Internet users. Privacy education is part of the picture of a more just digital society: it aims at making users more aware of the importance of their data and of the technical and financial tools and processes that involve their personal data. Nonetheless, privacy education is confronted with a paradox: while people perceive the importance of privacy, they seldom take action to actually protect their personal data. iBuddy is a narrative simulation-based session inspired by research evidence about the privacy paradox and aims to (a) enhancing awareness and (b) promoting the uptake of privacy-safe behaviors for secondary and higher students (age range 11-20). The paper presents the design and development of the simulation and of the following modular debriefing, as a case study in evidence-based collaborative instructional design and in the instructional used of digital technology. The evaluation of iBuddy, which combined a post-session satisfaction and perceived learning survey (N = 978) and a follow-up survey (N = 124), provides insights in the novel domain of privacy education. Results suggests that iBuddy sessions are engaging, effective and conducive to medium-term behavioral change, thus indirectly confirming the design assumptions about how to tackle the privacy paradox through a simulation-based approach.

Although numerous studies have demonstrated the potential benefits of augmented reality (AR) in education, the influence of education students' learning experiences on their AR technology acceptance in the classroom has yet to be examined thoroughly. In this empirical study, we explored the affective experiences (i.e., positive emotions, negative emotions, and situational interest) of education students in AR training and examined how their affective experiences influence their AR technology acceptance (i.e., perceived ease of AR use, perceived usefulness of AR, and intention to use AR) by using the partial least squares path modeling method. Our results show that situational interest significantly predicts both the perceived ease of AR use and the perceived usefulness of AR. Moreover, positive emotions significantly predict the perceived ease of AR use. However, negative emotions were not noted as a factor influencing either the perceived ease of AR use or its perceived usefulness. These findings indicate the importance of promoting situational interest and positive emotions in AR training to increase AR technology acceptance among education students in the classroom setting.

Higher education faculty members incorporate technologies into their teaching and learning practices in higher education for the benefit of their learners. Hence, general technologies, such as presentation software, online classrooms, and learning management systems are ubiquitous in higher education teaching practices. However, emerging technologies (i.e., augmented reality, virtual reality, robotics, tangible user interfaces, wearable technologies, and mixed reality) are not currently in wide use in higher education. As emerging technologies can broaden access to content and increase accessibility for all learners, investigating faculty members' intention to incorporate these technologies was explored in this study. Faculty participants from higher education institutions (N = 174) completed a 33-item survey, based on the theoretical framework of the decomposed theory of planned behavior. A path analysis of factors that influence faculty members' intention to integrate emerging technologies in teaching and learning were conducted. Results indicated that attitude, subjective norms, and perceived behavioral control are indicators of intention to use emerging technologies in teaching and learning.

Adoption of Maker programs entails deep cultural and structural changes within schools. In this case study, we interviewed a principal and seven faculty members in a high school in the United States, after the first year of implementing making-centered curricula. We report how faculty members responded to the reform, their motivations and beliefs, and the concomitant shifts in power and status. We found that educators are required to make non-trivial adaptations to their skills, instructional approaches, and pedagogical beliefs, and that successful adaptation may lead them to gain status, resources, and support within the school. Those are gained on account of technical expertise and educators' efforts to promote the vision of the reform. The extent to which faculty members adapt to a reform, accommodate and support others in their process of adapting, or resist it, may determine whether the reform is successful or not. As such, school leaders face the challenge of encouraging faculty to buy into such reforms. The case study provides a unique perspective on Maker-centered reforms and outlines important implications for administrators seeking to implement similar programs.

A qualitative study was conducted in a secondary school to evaluate student learning processes and outcomes by examining their inquiry questions, journals, and maker artifacts in a curriculum-based maker learning environment supported by the Guided Inquiry Design (GID). Thirteen 8th-grade students in a suburban middle school in the southwest of the United States participated in the study. Inquiry questions, maker artifacts, and inquiry journals were collected and analyzed with rubrics that were developed based on a critical review of literature drawn from different bodies of literature. The objectives of this study were three-fold: (1) evaluate the quality of students' inquiry questions and maker artifacts, (2) assess students' internal knowledge representation (IKR) and external knowledge representation (EKR), and (3) develop a robust and valid assessment framework for maker learning considering students' expertise development over time. The findings revealed that the students progressed at different developmental levels; therefore, expertise development should be incorporated into the assessment framework for maker learning. This study also implied that scaffolding should be tailored to meet special needs of each student in a maker learning environment. The originality of this research is that the assessment framework takes into account individuals' development and progress towards expertise over time, instead of focusing on their learning outcomes at a specific time point. An additional value of this study is that the tools and supporting materials that serve as instructional scaffolds also serve as tools to collect evidence about student learning performance, processes, and outcomes.

Makerspaces persist as formal and informal spaces of learning for youth, promoting continued interest in studying how design can support the variety of learning opportunities within these spaces. However, much of the current research examining learning in makerspaces neglects the perspectives of educators. This not only hinders our understanding of educators' goals and how educators navigate makerspaces but also constrains how we frame the design space of the learning experiences and environments. To address this, we engaged in a set of semi-structured interviews to examine the contexts, goals, values, and practices of seven educators across five makerspaces. A thematic analysis of the data identified six key categories of competencies that these educators prioritize including a range of skills, practices, and knowledge, such as technical proficiency, communication, and contextual reflection. The analysis also identified five categories of strategies to accomplish certain goals, such as scaffolding, collaboration, and relationship building. Last, it also shed light on three categories of challenges faced at the student-level, teacher-level, and institutional level. We conclude with a discussion on our insights into how we can broaden the problem space in the design of educational technologies to support learning in makerspaces.

Maker education provides the perfect context for young learners to develop 21st-century skills. However, research is inconclusive on how these skills could be assessed. Namely, the complex nature of 21st-century skills requires different types of assessments, not necessarily relying on paper-and-pencil or multiple-choice tests, but rather drawing on the learners' perspective in the form of self-assessment and reflection. Prior studies highlighted several challenges of situating self-assessment in makerspace contexts, such as the lack of dedicated technology for documentation, distractions caused by noise or group work, and the lack of skills and motivation to practice self-assessment. This paper presents an exploratory case study aimed at an in-depth investigation of the use of a digital self-assessment tool of 21st-century skills in makerspace contexts. The authors converged qualitative data collected mainly from interviews with teachers and students. Researcher observations and tool log files (e.g., student work in the digital tool) were used as triangulation sources. Although challenges emerged, the study presents encouraging findings regarding the use of the digital tool for raising students' awareness of their development of 21st-century skills and engaging them in self-assessment and reflection. The results of the study provide rich insights to guide future research on the topic.

This paper extends research that looks at the intersection of multimodal composing and maker education. We present findings from a fourth iteration of a multidisciplinary classroom design study in which high school youth made digital comics based on literary novels in an 11th grade language arts classroom in a predominantly Hispanic, low-SES, urban high school. The current study offers a close analysis of students' processes for making digital comics and how they utilized smartphone-based social media apps and comics tools to construct meaning via transmediation of a traditional literary text. We focused on two (cases) groups of students' multimodal making. We asked, how do youth leverage their own socio-technical repertoires of practice in multimodal making of digital comics? We used interaction analysis methods to analyze multimodal talk-in-interaction to understand how students used their bodies and technologies across making activities. We found that multimodal making with personal technologies enabled youth to transform and ascribe meaning to school spaces, supported embodied learning across physical and digital spaces, and reinforced agency in school spaces. We discuss implications for expanding maker education into formal non-STEM disciplinary spaces and the importance of grounding learning designs in students' preferred repertoires of practice and incorporate the tools that are intertwined with their ways of being and knowing if we are to support making practices among culturally, racially, and linguistically diverse learners both in and out of schools.

Computer science teaching standards for grades K-8 have been implemented in nearly all U.S. states, and the core subject area teachers (e.g., math, science, English, social studies) have been asked to integrate these standards into their instruction. Thus, it is important that K-8 pre-service teachers of all subjects are both prepared and motivated to teach computer science concepts--such as programming--upon entering the field. However, little is known about how pre-service teachers learn and retain programming knowledge or obtain and sustain their motivation related to programming. Maker-focused educational robotics activities have the potential to both reduce abstract cognitive load and work as motivational tools for STEM learning. The purpose of this study was to examine pre-service teachers' motivational persistence and retention of programming concepts after learning with educational robotics through maker-focused computer science activities. Hands-on maker robotics programming activities were used to teach and motivate pre-service teachers. This quantitative study utilized repeated measures through pre-, post-, and 6-month follow-up surveys and tests. The findings indicated the pre-service teachers' programming comprehension gains exhibited on the posttest deteriorated substantially to near-baseline levels within 6 months of instruction. Conversely, pre-service teachers' motivation related to programming continued to rise after the instruction had concluded. Both the retention of comprehension of programming concepts and motivational persistence findings imply that educator preparation providers should integrate programming instruction throughout their pre-service teacher curricula and support curricular initiatives that call for the integration of computer science instruction across pre-service teacher methods courses to reinforce computer science learning.

The current study aimed to measure preservice teachers' skills in implementing pedagogical model of collaborative problem solving (CPS) using a more advanced and novel human-to-agent computerized assessment instrument. By doing so, a framework with three major skills in the implementation of CPS and four major individual problem-solving processes was identified. Then, an assessment with 18 items was constructed under the framework. Additionally, the performance of preservice teachers in implementing CPS was further explored and discussed with the multidimensional random coefficients multinomial logit model. To determine the reliability and validity of the assessment, the expected a posteriori/plausible values (EAP/PV) reliability coefficient, the model data fit, and the differential item functioning (DIF) were explored. The findings demonstrated that the hypothesized structure with three dimensions was validated, and no DIF across gender groups was identified. The results showed that this assessment was feasible, and its reliability and validity were satisfied.

Despite its advantages and potentials, the extent of the implementation of adaptive learning remains limited. Recent studies identified the critical determinants associated with its scaled implementation and proposed various frameworks and strategies to support it. However, little has been done to identify the empirical relationships between such determinants, the strategies for addressing them, and a scaled implementation as the desired outcome. Identifying such relationships can however help elucidate the processes involved in the implementation process of adaptive learning and, therefore, better explain the reasons for its slow implementation. The current study aims to identify the relationships between critical factors associated with the successful implementation of adaptive learning, strategies that address such factors, and the desired outcomes. Based on the identified relationships, the study presents an empirically supported implementation framework for adaptive learning. We used the secondary analysis of qualitative data, which were previously collected from 51 participants in an international Delphi study conducted in two universities in Switzerland and South Africa. For coding, we used inductive coding techniques suitable for identifying connections (e.g., causal relationships) between the identified factors. We conclude by turning the attention of implementation researchers and educational leaders to the key role of organisational readiness and the stakeholder acceptance of adaptive learning during the implementation process.

Considering the increasing importance of educational technologies and the debates about the role of technology in education, it is of great importance to reveal research trends in educational technologies. It is also possible to present the big picture of trends and the comparative role of the UK in this picture, which is one of the main countries leading the research trends in the educational technology field. Carrying the existing studies in the literature to a wider range with the comparison of England and the world will levered the literature up to a seminal point. This study is aiming to identify and compare research trends in the educational technology field both in the world and the UK. For this purpose, the studies from 1965 to 2020 indexed in the ERIC database were reviewed by using data mining techniques. The analysis of studies indexed in the field of educational technologies in the ERIC database presented in terms of four fields: Descriptor, Title, Abstract, and Audience. The data were analyzed in terms of these variables and divided into four categories: target audience, methodology, approaches, and technology. Findings have important implications for the field.

Despite considerable advances in knowledge tracing algorithms, educational technologies that use this technology typically continue to use older algorithms, such as Bayesian Knowledge Tracing. One key reason for this is that contemporary knowledge tracing algorithms primarily infer next-problem correctness in the learning system, but do not attempt to infer the knowledge the student can carry out of the system, information more useful for teachers. The ability of knowledge tracing algorithms to predict problem correctness using data from intelligent tutoring systems has been extensively researched, but data from outcomes other than next-problem correctness have received less attention. In addition, there has been limited use of knowledge tracing algorithms in games, because algorithms that do attempt to infer knowledge from answer correctness are often too simple to capture the more complex evidence of learning within games. In this study, data from a digital learning game, (anonymized), was used to compare ten knowledge tracing algorithms' ability to predict students' knowledge carried outside the learning system--measured here by posttest scores--given their game activity. All Opportunities Averaged (AOA), a method proposed by Authors (2020) was used to convert correctness predictions to knowledge estimates, which were also compared to the built-in estimates from algorithms that produced them. Although statistical testing was not feasible for these data, three algorithms tended to perform better than the others: Dynamic Key-Value Memory Networks, Logistic Knowledge Tracing, and a multivariate version of Elo. Algorithms' built-in estimates of student ability underperformed estimates produced by AOA, suggesting that some algorithms may be better at estimating performance than ability. Theoretical and methodological challenges related to comparing knowledge estimates with hypothesis testing are also discussed.

Critical thinking is identified as a key educational outcome in higher education curricula; however, it is not trivial to support students in building this multifaceted skill. In this study, we evaluated a brief online learning intervention focusing on informal fallacy identification, a hallmark critical-thinking skill. The intervention used a bite-sized video learning approach, which has been shown to promote student engagement. Video-based learning was implemented within a precision teaching (PT) framework, which modulates the exposure of individual learners to the learning material to enable them to build 'fluency' in the targeted skills. In one of the learning conditions, PT was applied synergistically with domain-general problem-based training to support generalisation. The intervention consisted of two learning episodes and was administered to three groups (learning conditions) of 19 participants each: a PT fluency-based training group; a PT + group, where PT was combined with problem-based training; and a self-directed learning control group. All three groups showed comparable improvements in fallacy identification on taught (post-episode tests) and unseen materials (post-intervention assessment), with lower-scoring participants showing higher gains than high-scoring participants. The results of the knowledge retention tests a week later were also comparable between groups. Importantly, in the domain-general fallacy-identification assessment (post-intervention), the two PT groups showed higher improvements than the control group. These findings suggest that the integration of bite-sized video learning technologies with PT can improve students' critical-thinking skills. Furthermore, PT, on its own or combined with problem-based training, can improve their skill to generalise learning to novel contexts. We discuss the educational implications of our findings.

Pedagogical agents were found to enhance learning but studies on the emotional effects of such agents are still missing. While first results show that pedagogical agents with an emotionally positive design might especially foster learning, these findings might depend on the gender of the agent and the learner. This study investigated whether emotional expressions performed by an on-screen instructor were able to increase learning outcomes while considering differences the gender of the agent and the learner. In a 2 (neutral vs. enthusiastic expressions) × 2 (female vs. male agent) between-subject design with additional consideration of the gender of the learner, data of 129 participants was collected. Results revealed that the manipulation of enthusiasm lead to higher perceptions of positive emotions. In addition, a pedagogical agent who performed enthusiastic expressions led to a higher retention but not transfer performance. In terms of the gender of the agent and the learner, male learners retained knowledge better when they watched the agent performing enthusiastic expression irrespective of the persona gender. Female learners, however, retained knowledge only better when a female agent performed enthusiastic expressions. Results are discussed in the light of the positivity principle, model-observer similarity hypotheses and current theories on social cues in multimedia learning.

The purpose of this study was to investigate the effects of different types of cues and self-explanation prompts in instructional videos on intrinsic motivation, learning engagement, learning outcomes, and cognitive load, which were indicators to measure deep learning performance. Seventy-two college students were randomly assigned to one of the six conditions in a 3 × 2 factorial design with cues (visual vs. textual vs. combined textual-&-visual) and self-explanation prompts (prediction vs. reflection) as the between-subjects factors. To measure participants' learning engagement, Neurosky mindwave mobile and Tobii pro X3-120 eye-tracker were used to collect their brain wave data and eye movement data, respectively. Learning outcomes were measured with retention and transfer tests, and questionnaires were used to measure participants' intrinsic motivation and cognitive load, respectively. The results revealed that the textual cues significantly facilitated learning outcomes and learning engagement--attention--while the reflection prompts significantly affected learning engagement--the mean fixation duration--and cognitive load. Notably, the combination of textual cues and reflection prompts and the combination of visual cues and prediction prompts allowed the participants to focus and engage in the video learning process more deeply, resulting in a significantly higher learning outcome than their peers from other conditions. This research could provide some implications for designing short instructional videos to facilitate deep learning.

Educational research is reflective of the nature and structure of national and regional education systems and their historical evolution. Educational technology research, as an area within educational research, reflects this case particularly prominently. Although individual countries and regions have varying research traditions, the publication of research in English as the scientific "lingua franca" can lead to missing nuances in terminology, which is often not reflected upon. Despite this, the exploration of research from different countries can still uncover diverse topical clusters. This study aims to identify the research topics in educational technology research in three countries (Germany, Spain and the United Kingdom), each with their own research traditions, through the terms used. To this end, a bibliometric analysis of 3034 article abstracts and keywords from 29 English-language Web of Science journals in the field of education and educational research was conducted, with a focus on educational technology. In addition, the quantitative findings are comparatively analysed by considering the corresponding cultural clusters. Main findings include diverse research foci in the three countries, also showing that distinct research traditions are still present, despite using English as "lingua franca." Therefore, research articles written in English by non-English authors often do not reflect the same meanings in each country, despite using the same words. The conclusions reflect upon the need to establish ways of understanding the traditions behind those research articles and build collaborative systems to illustrate nuances in this research.

Scratch is widely used as an introductory educational tool for computer programming. However, little is known about how the action of adding favorite projects on Scratch social media influences programming skill improvement. On Scratch social media, learners select personally intriguing projects to view and learn from. Favorite projects both motivate users to participate on social media and serve as scaffolding material for learners. In this study, we analyzed a dataset of 50,786 users from 5 years of longitudinal activities on Scratch social media using the Zones of Proximal Flow theory. To understand how favorite projects influence learners, we compared the frequency of social media use and programming skill improvement between users who did and did not add favorite projects, and we found a significant difference in programming skill improvement. Among users with favorite projects, there is a proximal difference of two to five Dr. Scratch scores of the favorite project above users' capability level, which maximizes the frequency of social media use and programming skill improvement.

As teachers are central to digitalizing education, we summarize 40 years of research on their role in that process within a systematic umbrella review that includes 23 systematic reviews with a total of 1062 primary studies focusing technology integration and aspects of digital literacy. Our findings highlight the international acceptance of the TPACK framework as well as the need for a clear concept of digital literacy. It is unique that we identify and discuss parallels in developing teachers' digital literacy and integrating digital technologies in the teaching profession as well as barriers to those goals. We conclude by suggesting future directions for research and describing the implications for schools, teacher education, and institutions providing professional development to in-service teachers.

While the outbreak of COVID-19 in December 2019 threatened educational activities in Higher Education globally, it renewed the interest in online learning and teaching in developing countries. To frame our understanding, we employed the Technological Readiness Index lens to investigate the institutional needs necessitated by the sudden uptake of online teaching and how these needs could be funded in one of the developing countries in Africa.15 Heads of Departments (HODs), working in different universities across Zimbabwe, participated in the in-depth interviews and WhatsApp discussions to generate data. Findings replicate that while HODs noted the indispensability of online teaching to embrace the Fourth Industrial Revolution (4IR), universities were confronted with trenchant institutional needs, for example, the absence of well-trained personnel, poor digital infrastructure and cyber security of which most of them emanated from inadequate funding. Considering this, the study proposes that rather than depending on traditional donor and stakeholder quota funding, governments of developing countries must liberalise internet trade markets through legal frameworks to de-monopolise the provision of internet services to reduce costs of erecting digital infrastructures and provision of services. This study, provides insights and extends scholarship on other funding strategies available for the digitalization of education in higher education.

As a result of the Great Online Transition (GOT) that occurred during COVID-19, it is increasingly necessary to understand the digital competencies that are required for online and blended learning in the postpandemic era. Postquarantine, higher education institutions must return to on-campus face-to-face learning, a situation which raises questions concerning how to retain the lessons learned from this period of the "forced" acquisition and innovation of online teaching competencies. In this article, we present the results of an interview-based study of teachers' experiences of online teaching during the pandemic. One hundred fifty-one teachers were interviewed over a period of 2 years during the pandemic. We conducted a hybrid thematic analysis to systematize teachers' experiences. Our results show that despite the problems faced due to the disruption caused by the pandemic, several lessons were learned: teachers employed an array of digital tools to maintain content delivery and promote interaction, deepened their understanding of course design and assessment, and developed an empathic disposition to understand students' situations. We build upon these experiences to generate recommendations for developing digital competencies following the GOT.

Future success for online teaching can be described in terms of competencies, the knowledge, skills, and affect and motivation that as component parts undergird successful performance, or in terms of competence, the behaviors that demonstrate ability to perform in an online setting. Either framing could aid higher education to consider how to foster online teaching excellence. Yet, considering this dichotomy instead as a continuum emphasizes a fruitful point in between to target for faculty professional learning. This linking, middle view, emphasizes the processes faculty use to recognize what the situation demands and make decisions about what to do and operationalize competencies into competence. This concept paper presents a set of conceptual principles that can serve as guidance to organize faculty decision making when integrating EdTech into higher education courses. Drawing on an existing dataset of interview data from two studies of faculty learning to integrate a new EdTech, instructors' experiences with each principle are illustrated. This provides opportunities to see how faculty organized decisions aligned with the principles and how faculty needs were met when principles described the project's support conditions. This approach shows how universities could benefit from framing EdTech support in terms of embedding representations to first build, then guide, technical and pedagogical knowledge and skill. Providing guiding principles may then motivate faculty to acquire and assemble those competencies in context-sensitive ways for instructional decision making.

Disciplines in Higher Education have their own interpretations of what is essential knowledge that influences what is taught, how teaching occurs, and the role of digital tools. Disciplinary culture is dynamic and evolving, informed by disciplinary research and technology improvement. During the COVID-19 pandemic, digital solutions enabled ongoing teaching when undergraduate courses could not be taught on campus, in lecture theatres, seminar rooms, laboratories, or in the field. Using digital tools and changes in teaching practices has created a context where Higher Education teachers must consider how future learning and teaching should occur. To explore this, a cross-discipline team used appreciative inquiry framed in complexity theory to examine how teaching in undergraduate programmes is changing in the digital age and implications for Higher Education teachers. The research identifies how digital technologies influence undergraduate programmes in Applied Statistics, Computer Science, Critical Indigenous Studies, Geography, and Information Systems. Analysis of the case studies identified how disciplinary culture, context, and technology combine to influence pedagogical practice and digital capabilities needed to teach in undergraduate programmes. We conclude that Higher Education teachers require capability in appropriate pedagogical practice that aligns with disciplinary culture and the technologies available.