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The challenge of creating reliable technology-based resources for science learning is a perennial challenge in Philippine education, with limited learning materials accessible to all learners. This study is about the development of a videocast embedded with physics education technology (PhET) simulation that served as supplementary learning material for grade 9 science in response to the scarcity of dependable visualization materials. The study employed the developmental research design with analysisdesign-development-implementation-evaluation (ADDIE) model as the developmental framework. The vodcast evaluation tool, achievement test questionnaire, and vodcast perception survey questionnaire for students and teachers were used in the data collection, while the Kendall's W statistic, mean, percentage, and gain score were used in the data interpretation. The teacher respondents (N=64) have moderate agreement on the ranking of topic difficulty, with Kendall's W of 0.45. The researcher-made vodcast attained an overall rating of 4.78 from experts, which implies that the vodcast can be very good material for classroom implementation. The developed achievement test has acceptable difficulty and discrimination indices. The implementation stage yielded a low normalized gain, which can be accounted for by unfocused attention during the pandemic. Nevertheless, the voicecasts were found very useful in learning projectile motion, as perceived by both students and teacher-observers.

This study explores how pre-service mathematics teachers' spatial visualisation skills evolved during a Cognitive Load Theory (CLT) based education. The study used the qualitative theory-testing case study method, which guided the identification of participants, the design of technology-supported education, and the data collection and analysis process. The four participants meeting specific criteria were selected as the study sample. A CLT-based education equipped with technology was provided to help participants overcome difficulties in spatial visualisation problems, improve their existing schemas, and build higher-order schemas. Various teaching approaches (e.g., worked examples) were applied to optimise participants' learning in CLT-based education. The study data (e.g., transcripts of interviews) were analysed using the pattern-matching technique, in which the observed patterns were compared with the derived hypotheses from the theoretic models regarding the problem-solving process and novice-expert schemas. The study achieved remarkable results: In CLT-based education, where teaching approaches have an important role, the improvement in their spatial visualisation skills happened as the participants overcame their challenges in problem-solving steps throughout their cyclic problem-solving processes and gained more knowledge and skills. The participants' acquisition of expertise in spatial visualisation skills went through various developmental stages. They strengthened their initial spatial problem-solving schemas by completing the deficiencies in their prior knowledge. They gained practicality in same category tasks and constructed higher-order problem-solving schemas when dealing with high-category tasks by activating their assimilation and adaptation processes.

GeoGebra is a dynamic software that is frequently used and of increasing importance in mathematics teaching processes in our digital age. Accordingly, in this study a new perspective has been brought to the proofs of the "two square difference identity" expressed for the square, which is a flat polygon, made with different approaches. With side lengths a, b, and a>b, it has been shown that the identity given by the equation (difference of area) a[superscript 2] - b[superscript 2]=(a-b)(a+b) is true for other regular polygons as well. In the study, direct proof method was used within the framework of the principle of conservation of measure, which is one of the basic principles of geometry teaching. GeoGebra program, which is a dynamic geometry software, was preferred for drawing geometric shapes used in proofs. In order to generalize the number n, a different fragmentation technique was preferred to the proofs made using different drawings for equilateral triangle and square, which are the simplest regular polygons. It has also been shown that this identity is true for circles viewed as polygons with an infinite number of sides.

Research in self-compassion has rapidly increased. Providing a comprehension of the scientific knowledge landscape will be helpful for researchers to identify the gaps and develop future research ideas in this field without subjectivity. Thus, overarching structures in self-compassion Scopus-indexed research were sought to be analysed here. Bibliometric techniques were used to extract documents indexed in Scopus under the domain of self-compassion (N = 1,764 articles) using bibliophily, a web interface of the Bibliometrix 3.0 and VOSviewer to conduct analysis and visualisation. The number of published articles shows an upward trend; the United States occupies the leading position in publication volumes and citations. Undoubtedly, K. D. Neff and her sustained cited model were reported as a prolific author and influential article in self-compassion literature. The top affiliation was the University of Texas at Austin, which was the leading university in both production and citation. Mindfulness was a key journal that was considered in publication volume and received citations; however, authors tended to publish from diverse selected sources. The top 50 most frequently used terms were related to individual differences and psychological status. Finally, the thematic mapping provided a comprehensive illustration showing significant themes and knowledge gaps in self-compassion research, which categorised individual differences as basic, measurement validation as niche and PTSD as emerging themes. The current findings presented scientific mappings and extensive tables containing information that usefully proposes future directions and the critical broader scope of research in self-compassion.

Augmented Reality (AR) has emerged in our educational paradigm as a new tool to accelerate change in the teaching and learning process. This technology can improve students' visualisation skills, which helps them understand abstract concepts, especially in Chemistry. Furthermore, visualisation skills help improve students' critical thinking. This study was conducted with 16 secondary students. Before and after the intervention, students were required to complete a Purdue Spatial Visualisation Test to measure their visualisation skills. During four weeks of intervention, students explored the content using a mobile augmented reality application for learning chemical bonds (called CBOND) and completed critical thinking tasks each week. This study employed data mining using a decision tree to predict the path to improving students' visualisation and critical thinking skills in learning chemical bonds. The results revealed that CBOND had a significant effect on students' visualisation and critical thinking development. Therefore, this study proved that augmented reality technology could help students to visualise abstract concepts, especially in Chemistry, and in turn, foster their higher level of critical thinking.

The anthropological theory of didactics (ATD) provides a lens to view mathematics education by placing mathematical practices within socio-cultural and historical contexts. The significance of institutions, in what regards with educational establishments, societal structures, cultural norms, and historical contexts, influences the perception and practice of mathematics in both students and teachers. This perspective is relevant for understanding the complexities of teaching multivariate calculus. Traditional approaches to this subject have been lecture-based, but with the evolution of educational paradigms, active pedagogies have emerged as vital. These include among others inquiry-based learning, collaborative learning, the flipped classroom approach, technology-enhanced active learning, and project-based learning. The challenges students face in multivariate calculus range from conceptual complexities to visualization challenges and over-reliance on memorization. In this work, we propose a holistic approach for defining class activities in multivariate calculus with emphasis in integrating visualization techniques, real-world applications, collaborative activities, and feedback mechanisms. Accordingly, four class activities, grounded in the principles of ATD and tailored to address challenges in multivariate calculus, are proposed. These activities aim to foster significant understanding, relevance, and engagement in students.

Scholarly writing for academic publication follows discipline-specific constraints where alpha-numeric forms of text are common modes of communication. While figures can be integrated into scholarly publications, graphics are required to fit specific style guides depending on the established criteria for the academic journal. When preparing teaching materials, constraints on communication and production can limit thinking and understanding. In this paper, we outline how we incorporate graphic creations called sketchnotes into our academic writing practices. Sketchnotes are one-to-two-page, free-form, image-rich documents focusing on a topic, concept, or presentation. For our purposes, academic writing is defined as not only peer-reviewed publications but also web-published scholarly works, including research outputs and writing relating to and including our teaching materials. With this definition, we hope to open up a model for expanding the landscape of academic writing, which supports our sketchnoting as part of an open educational practice. Our open practices using sketchnotes include peer-reviewed journal publications, open web publications on our blog sites, and the learning objects we have created as alternative readings of course content.

Individual differences in spatial thinking are predictive of children's math and science achievement and later entry into Science, Technology, Engineering, and Mathematics (STEM) disciplines. Little is known about whether parent characteristics predict individual differences in children's spatial thinking. This study aims to understand whether, and to what extent, mother's intrinsic (i.e., mental rotation) and extrinsic (i.e., spatial scaling) spatial ability directly and indirectly, via the variation in home spatial environment, predicts children's intrinsic and extrinsic spatial ability. A total of 165 mothers and their 4-6-year-old children were recruited to participate in a remote video session with an experimenter. Mothers were administered a forced-choice "Intrinsic Spatial Toy Preference Task" gauging their preference for highly spatial versus less spatial toys and asked questions with the "Home Intrinsic Spatial Environmental Questionnaire" about the frequency with which they engage their child in spatial activities at home. Mothers completed a "Mental Rotations Test" and a "Spatial Scaling Task" adapted for adults. Children were administered the "Picture Rotation Task," the "Spatial Scaling Task," and the "Peabody Picture Vocabulary Test." Structural equation modeling was used to examine direct and indirect, via home spatial environment and toy choices, influences of mother spatial ability on child spatial ability. Contrary to our predictions, we did not find direct, nor indirect, relations between mother and child spatial ability. These findings suggest that researchers should consider alternative conceptualizations of the early home spatial environment beyond the frequency of spatial play in the home.

This study was grounded in the spatial computational thinking model developed by the "3D Weather" project funded by the NSF STEM+C program. The model reflects a discipline-based perspective towards computational thinking and captures the spatial nature of computational thinking in meteorology and the reliance of computational thinking on spatial thinking for geospatial analysis. The research was conducted among nineteen teachers attending the summer workshop offered by the project in its third project year to prepare them for teaching spatial computational thinking with IDV ("Integrated Data Viewer," downloadable at https://www.unidata.ucar.edu/software/idv/) visualization of weather data. Quantitative survey data were collected measuring these teachers' meteorology content knowledge, spatial computational thinking, self-efficacy for teaching spatial computational thinking, and epistemic cognition of teaching meteorology. The data were analyzed to examine the effects of the workshop in terms of these variables and the correlations among them were also explored.

The field of language learning and technology is an ever-growing field as new technologies are constantly developed, and it is important to understand the impact these new technologies may have on language learning. The purpose of this work-in-progress study was to investigate the effects of virtual reality (VR) simulations on a specific second language (L2) theory of motivation--the L2 Motivational Self System (L2MSS). VR simulations were implemented in an intermediate level course on medical Spanish, and this study follows the cases of six participants who completed a pre- and posttest consisting of questions about the Ideal L2 Self, the Ought-to L2 Self, and the L2 Learning Experience. Participants completed 12 VR simulations and wrote a journal entry about their experience. Results showed a significant increase in the Ideal L2 Self, a significant decrease in the Ought-to L2 Self, and no significant change in the L2 Learning Experience. Participants highlighted the visualization component of the L2MSS and the connection to their future ideal professional selves in their journal entries.

Universities aim at increasing student retention, with evidence-based and data-based governance of universities becoming best practice. In this context, managing large amounts of data in university management is a challenge. Sankey diagram visualizations of student flows per time unit (e.g. semesters) have been used as method for structuring but lacked the ability to go beyond program level. This study aims to advance this method by displaying multiple student lifecycles from school to doctorate, while including user-based input. Data of 83,264 students enrolled into 140,593 programs between 2012/13 and 2022/23 with 657.615 distinct rows in the raw data were used. A self-synchronizing web interface was provided, including filter and stratification variables. The diagrams could be mapped to students' lifecycles and extended over all degree levels and fields of study. Limitations were data availability and the lack of indicators for each stage of the student lifecycle. Improvements in the mapping are warranted.

This article introduces an innovative teaching and learning tool called "Edelman Gamblegrams" that aims to help medical learners better understand disorders related to water/plasma tonicity homeostasis, i.e., hyponatremia and hypernatremia. Gamblegrams, named after physician James L. Gamble, are bar diagrams displaying the relative abundance of extracellular anions and cations and are commonly used in the analysis of acid-base disorders. The Edelman equation represents the physiological variables that determine plasma sodium concentration, namely, total body sodium mass, total body potassium mass, and total body water volume. Edelman Gamblegrams inspired by traditional Gamblegrams but using the components of the Edelman equation, visually demonstrate how sodium, potassium, and water contribute to plasma sodium concentration under normal and pathological conditions. Scenarios that lead to hypotonic hyponatremia and hypernatremia in Edelman Gamblegrams are also discussed. Furthermore, examples of how these visual aids can enhance understanding of the pathogenesis of dysnatremias are also presented. Overall, the use of Edelman Gamblegrams has the potential to improve comprehension and retention of concepts related to water/plasma tonicity homeostasis.

This paper presents a cartography of the digital literacy academic field. Such cartography is comprised of two sections: a categorization of the field through literature review and analysis, and an exploration of its main issues through thematic and network analysis. On the one hand, five conceptual categories of digital literacies are found: functional, sociocultural, critical, transformative, and sociomaterial. On the other, main issues are described with 21 recurring themes of digital literacy and a few networks depicting its most salient matters of concern, concluding with an interpretation of these in the composition of 8 encompassing issue spaces: digital literacies conceptions and practices, digital literacy in education, access and digital divide, digital texts and literacy, websites and social networks, digital technologies at the workplace and healthcare, digital technologies users and uses, and information issues. Finally, a few paragraphs are dedicated to the limitations of categorizing and issue mapping.

Constructing a consensus problem space from extensive qualitative data for an ill-structured real-life problem and expressing the result to a broader audience is challenging. To effectively communicate a complex problem space, visualization of that problem space must elucidate inter-causal relationships among the problem variables. In this article, we demonstrate extraction of a problem space through text mining in R. Text mining, an artificial intelligence form of natural language processing, synthesizes and summarizes vast quantities of verbal data. Text mining provides visualization of large narrative datasets to illustrate the structure and connections within the problem space of an ill-structured problem. The Gates Open Research data set of 11,979 verbal autopsy responses (Flaxman et al., 2018) informs the ill-structured problem space of childhood death from infectious disease in developing nations. In this article we apply text mining to automate the process of identifying connections that efficiently illustrate this problem space.

The trace plot is seldom used in meta-analysis, yet it is a very informative plot. In this article, we define and illustrate what the trace plot is, and discuss why it is important. The Bayesian version of the plot combines the posterior density of [tau], the between-study standard deviation, and the shrunken estimates of the study effects as a function of [tau]. With a small or moderate number of studies, [tau] is not estimated with much precision, and parameter estimates and shrunken study effect estimates can vary widely depending on the correct value of [tau]. The trace plot allows visualization of the sensitivity to [tau] along with a plot that shows which values of [tau] are plausible and which are implausible. A comparable frequentist or empirical Bayes version provides similar results. The concepts are illustrated using examples in meta-analysis and meta-regression; implementation in R is facilitated in a Bayesian or frequentist framework using the bayesmeta and metafor packages, respectively.

The nature of education has been transformed by technological advances and online learning platforms, providing educational institutions with more options than ever to thrive in a complex and competitive environment. However, they still face challenges such as academic underachievement, graduation delays, and student dropouts. Fortunately, by harnessing student data from institution databases and online platforms, it becomes possible to predict the academic performance of individual students at an early stage. In this study, we utilized knowledge graphs (KG), clustering, and machine learning (ML) techniques on data related to students in the College of Information Technology at UAEU. To construct knowledge graphs and visualize students' performance at various checkpoints, we employed Neo4j-a high-performance NoSQL graph database. The findings demonstrate that incorporating clustered knowledge graphs with machine learning reduces predictive errors, enhances classification accuracy, and effectively identifies students at risk of course failure. Additionally, the utilization of visualization methods facilitates communication and decision-making within educational institutions. The combination of KGs and ML empowers course instructors to rank students and provide personalized learning interventions based on individual performance and capabilities, allowing them to develop tailored remedial actions for at-risk students according to their unique profiles.

An important approach for developing children's algebraic thinking involves introducing them to generalized arithmetic at the time they are learning arithmetic. Our aim in this study was to investigate children's attention to and expression of generality with the subtraction-compensation property, as evidence of a type of algebraic thinking known as relational thinking. The tasks involved subtraction modelled as difference and comparing the heights of towers of blocks. In an exploratory qualitative study, 22 middle primary (9-11-year-old) students from two schools participated in individual videoed interviews. The tasks were designed using theoretical perspectives on embodied visualization and concreteness fading to provide multiple opportunities for the students to make sense of subtraction as difference and to advance their relational thinking. Twelve out of 22 students evidenced conceptual understanding of the comparison model of subtraction (subtraction as difference) and expression of the compensation property of equality. Four of these students repeatedly evidenced relational thinking for true/false tasks and open equivalence tasks. A proposed framework for levels of attention to/expression of generality with the subtraction-compensation property is shared and suggestions for further research are presented.

The definition of creativity among professional mathematicians and the definition of mathematical creativity in the classroom context are significantly different. The purpose of this study was to investigate the relationship between students' mathematical creativity (i.e., cognitive flexibility) and figure apprehension when solving geometric problems with novel auxiliary features such as straight lines and curved lines. In other words, this study determined if geometry knowledge influenced mathematical creativity (cognitive flexibility) in problem-solving. Grade-12 students participated in the intervention. The high school that is the research topic attempts to equip students with academic abilities and is, except for vocational schools, the most popular form of high school among all other types. Such a school was chosen for the study so that a significant proportion of students in Makassar could be represented. In this study, we discovered a relationship between cognitive flexibility and the geometric ability of pupils while solving problems involving auxiliary lines. This indicates that the usage of auxiliary lines as a reference for developing pupils' creative thinking skills must be advocated. In addition, good geometric abilities (e.g., visual thinking, geometrical reasoning) will encourage pupils to generate various problem-solving concepts. This finding contributes significantly to future research by focusing on auxiliary lines.

The aim of this study is to examine whether the structural model that Sahin and Ates (2020) put forward about the relationship among students' scientific literacy levels, logical thinking ability, cognitive styles, mental capacity, and mental rotation ability differ in terms of gender. A causal-comparative model approach was used in this study. The sample of the research was 823 seventh-grade students in the central districts of Ankara. This sample was created using the random stratified sampling method. In the study, it is seen that 64% of the variance in the scientific literacy scores of the females and 48% of the variance in the scientific literacy scores of the males are explained by the cognitively based variables. Comparing male and female students in the data analyses, the predictive effect of the mental rotation ability of female students on the logical thinking ability was not significant. In male students, when only the direct effects were examined, the effect of cognitive styles on scientific literacy was not significant. Based on the results of the study, it is thought that examining the interactions among the activities related to learning, teaching, and assessment process used in science classes, and cognitive styles will play an important role in the process of removing inequalities of opportunity arising from possible gender-cognitive style interaction in the process of raising scientifically literate individuals.

This study aimed to investigate the effectiveness of 360-degree panorama-based Virtual Reality (360VR) as a tool to simulate real-world site visit experiences in interior design education. In the first stage of evaluation, the online survey was implemented to ask students about their learning experience of using 360VR. The second stage of 360 VR effectiveness evaluation focused on the objective comparison of students learning outcomes between the 360VR method and the traditional approach. The students' experience survey results indicated that 360VR and virtual walkthrough experiences benefited students' understanding of the site during the design process. Students reflected positive 360 VR experiences on their engagement in learning, special layout, visualization, and educational effectiveness. The result of the student learning outcome evaluation showed no significant difference between 360 VR compared to no site visit. However, there was a significant improvement in students' spatial planning, finish selection, and total scores when using the 360 VR method compared to an on-site visit.

This study explored college students' experiences drawing an educational journey map. The stories revealed students' educational experiences from freshmen to junior/senior years. Five themes emerged through semi-structured interview questions. Through the students' stories about their educational experiences, researchers could better understand students' daily life, joyful moments, challenges, resilience, and wishful messages to their professors and university administrators.

This study aimed to develop a useful test to measure university students' spatial abilities validly and reliably. Following a sequential explanatory mixed methods research design, first, qualitative methods were used to develop the trial items for the test; next, the psychometric properties of the test were analyzed through quantitative methods using data obtained from 456 university students. As a result, a multiple-choice spatial ability test with 27 items and five options was created, divided into three subtests: spatial relations, spatial visualization, and spatial orientation. The results suggested that scores obtained from the spatial ability test and its subtests are valid and reliable.

This study examines how visual thinking may affect Jordanian female ninth-graders reading abilities. The design had an experimental feel about it. The study included 66 ninth-grade female students who were studying English as a foreign language (EFL). An instructional program was created and put into place, and a pre-post reading exam was created to help the study reach its objective. The results were examined using SPSS. The findings show that there are statistically significant changes in the steps of the visual thinking strategy (VTS) modality between the two groups, with the experimental group benefiting more. VTS has been proven to be a successful strategy for greatly enhancing student attainment of good marks and having an impact on student achievement of course learning outcomes. This study triggered the following reading sub-skills: vocabulary acquisition, imaging, building and activating schema, identifying the main idea and details, questioning, inferring, communicating through oral language, and comprehension. VTS has a real impact on teaching reading sub-skills, which is important for both teachers and curriculum designers. Longitudinal research data is required to further analyze and refine this teaching strategy.

The adoption of digital technologies in higher education offers new opportunities for student learning but also adds complexity to course design and development processes. Although practice varies across institutions and nations, a common response is that teams of people are now involved in the development and creation of blended and online courses. Members of such teams typically include instructional designers, academics, learning designers and technologists, and production teams, and courses are developed over time, often across separate locations and organisations. These factors are creating a need for tools that support the sharing of design information in distributed course design teams. This paper introduces such a course design tool, EdVee, which supports pedagogical innovation through the sharing and visualisation of constructive alignment of learning outcomes, content, learning, and teaching activities and assessment. Key concepts that underpin EdVee are drawn from systems engineering and product development. We demonstrate its value to course design through two case studies: the design of a new course and the evaluation of an existing course.

This article makes a case for SoTL practitioners to engage in what we term a pedagogy of slow. Here, "slow" connotes with waiting and patience. It takes time to learn and acquire the skills that a SoTL scholar needs. "Doing SoTL" we therefore argue, requires a pedagogy that takes time and sees time as an ally instead of as an opponent. In what the university has become, there seems little room for a pedagogy of slow that both offers and allows for time. In this article we present a case for considering engagement with the visual arts as part of a pedagogy of slow and the development of SoTL. By making the familiar strange, we acknowledge the implications of visual thinking strategies for social engagement by highlighting teaching and learning as relational. Working with colleagues in the context of continuing professional development, we collected data via focus groups and written reflections within physical and virtual gallery spaces to glean insight into participant experiences of slow looking as the antithesis to fast-paced and pressurised environments. We highlight how learning to become a SoTL scholar is an iterative process that requires time and generates what we term "productive friction." This is the iterative process which creates dislocation and uncertainty within participants, but which also has the capacity to nudge towards a transformation of the professional self.

In the present-day competitive landscape, the importance of image has increased significantly, whether it is on an individual level, within organizations, or on a larger scale. Image refers to the overall impression that a person holds in their mind regarding a concept, object, person, group, organization, institution, geographical region, or country. This mental representation is shaped by their past experiences and sensations, and it greatly influences the choices individuals make. The research aims to provide a systematic literature review on image research to promote image research. This research was carried out with a systematic review approach. The data of the research were obtained from the image articles published in the field of education in the journals scanned in Web of Science (SCIE, SSCI, AHCI). In the analysis of the data, bibliometric analysis and descriptive analysis technique, one of the content analysis techniques, were used. 48 research articles from 2002 to 2022 were critically reviewed and analyzed by applying a systematic literature review approach. The results showed that image studies were grouped under three themes: concept image, teacher image, and organizational image. The results also revealed what the inputs and outputs of corporate image were.

Infographics can improve understanding and enhance critical thinking skills in readers. However, while research has been done on the importance of infographics, a gap exists regarding how creating infographics enhances student engagement and knowledge retention in higher education. Therefore, this study used a mixed-methods approach to analyze undergraduate responses after creating an infographic. Of the 189 students, 71% agreed that creating an infographic helped them retain, examine, and analyze information more thoroughly, and 62% intended to use the infographic process again. These results suggest that it is advantageous to educate students on how to create infographics to learn and convey information.

This study aims to develop a new spatial visualization test (SVT) for second grade primary school students. The study employed the survey design, and the test was developed in accordance with the test development steps. According to the findings obtained as a result of the pilot study, the items were generally high difficulty levels, and they were very good items. Exploratory and confirmatory factor analysis findings confirmed the three sub-dimensions (mental integration, mental rotation and paper folding) measuring spatial visualization skills. SVT, which was reduced to 10 items, was administered to 396 students; the KR-20 internal consistency coefficient was 0.63, the average difficulty index was 0.35 and the average discrimination index was 0.48. As a result of the study, a valid and reliable test on spatial visualization for second grade primary school students was obtained and it was concluded that students' spatial visualization was at a low level.

Learning experience design (LXD) is a new wave in educational technology and learning design. This study was conducted to clarify conceptual change to practice by applying a systematic literature review to a combination text mining and bibliometric analysis technique to visualization network. Based on the study selection articles from SCOPUS. Our research questions focused on the changing concept, the elements of dimensionality, and the process or practice of LXD. The findings showed that 152 articles were finally selected to be analyzed. Conceptualizing LXD is currently underway in design thinking and user research methods with emphasis on the empathize process. Moreover, three dimensions to consider including (1) design dimension focus on user experience design in a technology context, (2) learning dimension focus on instructional design and learning theory, and (3) standard dimension focus on assessment and evaluation in learning goal and project management. In addition, five steps cycle for practice follows: research learners as users and learning goals, design with Ideate, develop prototyping, validity testing, and launch and follow-up. These factors enhance learning engagement and aesthetics for a great learner experience and learning efficacy.

This article is an excerpt from a master's thesis developed in Brazil, in which we approach recurrent and linear sequences, given some intriguing particularities in their definitions and the scarcity of discussion of this topic in the literature of the History of Mathematics, especially with regard to its geometric representation. Thus, we aim to present the identities of Fibonacci, Lucas, Jacobsthal and Padovan in a three-dimensional visualization with the contribution of GeoGebra software. The research methodology chosen was bibliographical, exploratory in nature, where we have theoretical support in works such as Oliveira and Alves (2019), Silva (2017), Souza and Alves (2018), Vieira and Alves (2020). This research brings as results a set of geometric constructions of the identities of the proposed sequences, in three-dimensional perspective, being a support for future works developed around this theme. GeoGebra was essential in the process of constructing and visualizing the sequences, as it provided strategies for understanding the recurrence relations and the properties of the Fibonacci, Lucas, Jacobsthal and Padovan sequences, through the behavior of the visual representations of these identities.

The use of electronic media in the classroom was prevalent during the height of the COVID-19 global pandemic because it afforded the health and safety of students in blended course modalities. This project aimed to quantify the effectiveness of a three-dimensional computer-based human anatomical online platform in a blended synchronous course design. We asked our students to self-report the learning efficacy and overall student engagement of the online learning platform. We found that with intentional course design utilizing in-person anchored Zoom Buddy blended classes and a 3-D anatomy software, students reported high levels of learning efficacy and engagement in anatomy & physiology courses. The course design presented in this paper provides a viable option should we be faced with similar emergency learning situations or when course enrollments are high and class spaces are limited.

Finding opportunities for elementary preservice teachers to engage in mathematics for themselves and to collaborate in their enquiries was the focus of this study, carried out at two English Universities. Preservice teachers on 1-year postgraduate programmes engaged in shared mathematics enquiry, with a focus on growing patterns. We conducted interviews with 15 preservice teachers and analysed the interview data alongside their subsequent lesson plans and lesson evaluations. We explored the awarenesses that emerged through deliberate retrospective analysis of sharing what others were seeing and how this influenced their prospective thinking about their own teaching. Our findings indicate that even when preservice teachers struggle to make sense of what others are seeing, they recognise that some approaches may be more efficient or insightful than others, and that listening to others' ideas is a powerful learning opportunity for teachers and children. This has implications for initial teacher education programmes internationally. There is value in providing preservice teachers with opportunities to engage with mathematics as a shared experience, and in enabling and supporting deliberate retrospective and prospective reflection of this activity.

In many science, technology, engineering, and mathematics (STEM) domains, instruction on foundational concepts heavily relies on visuals. Instructors often assume that students can mentally visualize concepts but students often struggle with internal visualization skills--the ability to mentally visualize information. In order to address this issue, we developed a formal, as well as an informal assessment of students' internal visualization skills in the context of engineering instruction. To validate the assessments, we used data triangulation methods. We drew on data from two separate studies conducted in a small-scale lab experiment and in a larger-scale classroom context. Our studies demonstrate that an intelligent tutoring system with interactive visual representations can serve as an informal assessment of students' internal visualization skills, predicting their performance on a formal assessment of these skills. Our study enriches methodological and theoretical underpinnings in educational research and practices in multiple ways: it contributes to research methodologies by illustrating how multimodal triangulation can be used for test development, theories of learning by offering pathways to assessing internal visualization skills that are not directly observable, and instructional practices in STEM education by enabling instructors to determine when and where they should provide additional scaffoldings.

This manuscript describes the use of real data applied to a fictional real-estate firm for teaching data visualization to university students. In the case study, students employ data analytic techniques in Tableau to clean, organize, and analyze real estate data. By creating visualizations, students address several questions about how selling prices of homes are affected by various factors such as location, industry trends, and property characteristics. The case has been used in business analytics courses; students reported finding the case study relevant and useful, and they were found to largely meet the learning goals of the case, including proficiency with cleaning and filtering data, and creating clear and useful visualizations to convey meaning in Tableau.

Data Structures and Algorithms (DS) is a basic computer science course that is a prerequisite for taking advanced information systems (IS) curriculum courses. The course aims to teach students how to analyze a problem, design a solution, and implement it using pseudocode to construct knowledge and develop the necessary skills for algorithmic problem solving and abstract thinking. While the literature acknowledges the difficulty of this course, few references were found that examine the process students undergo while solving DS algorithmic problems. The study's objective is to explore and describe IS students' problem-solving processes and challenges requiring a high level of abstract thinking in a "black box" approach. During the study, 13 students were observed while solving a complex problem, using "think aloud" (TA) techniques. Each observation was recorded, transcribed, and iteratively analyzed using principles of provisional coding in qualitative data analysis. The findings suggest that the quality and correctness of the solutions depend on three main factors: abstract thinking, flexibility applied during the solution process, and an absence of misconceptions related to concepts and the basic understanding of the problem. The students' levels of abstract thinking also influenced the quality of visualization used while trying to solve the problem. This study's findings may raise the awareness of DS course designers and instructors regarding the importance of the role of abstract thinking, possible misconceptions, and strategies used in problem solving as factors influencing students' ability to solve complex problems.

As programming emerges as a critical skill in the digital age and digital tools continue to evolve, understanding students' perspectives on the integration of such technologies into their education is crucial. This empirical study explores the perspectives of students in Sweden and Taiwan on the use of digital tools in their programming courses. The research employs both qualitative and quantitative methods, including correlation analysis and inductive content analysis, to understand students' perceptions of the usefulness and challenges involved in the application of different digital technologies. The study reveals the importance of immediate feedback, visualization of concepts, online discussion platforms, and programming tools' tutorials. However, concerns about potential bias in AI grading systems and the need for more time and guidance to become familiar with new technologies are also highlighted. The study provides valuable insights that can guide the development of more user-centered tools for supporting programming education.

Enzymes are nature's catalysts, mediating chemical processes in living systems. The study of enzyme function and mechanism includes defining the maximum catalytic rate and affinity for substrate/s (among other factors), referred to as enzyme kinetics. Enzyme kinetics is a staple of biochemistry curricula and other disciplines, from molecular and cellular biology to pharmacology. However, because enzyme kinetics involves concepts rarely employed in other areas of biology, it can be challenging for students and researchers. Traditional graphical analysis was replaced by computational analysis, requiring another skill not core to many life sciences curricula. Computational analysis can be time-consuming and difficult in free software (e.g., R) or require costly software (e.g., GraphPad Prism). We present Enzyme Kinetics Analysis (EKA), a web-tool to augment teaching and learning and streamline EKA. EKA is an interactive and free tool for analyzing enzyme kinetic data and improving student learning through simulation, built using R and RStudio's ShinyApps. EKA provides kinetic models (Michaelis-Menten, Hill, simple reversible inhibition models, ternary-complex, and ping-pong) for users to fit experimental data, providing graphical results and statistics. Additionally, EKA enables users to input parameters and create data and graphs, to visualize changes to parameters (e.g., K[subscript M] or number of measurements). This function is designed for students learning kinetics but also for researchers to design experiments. EKA (enzyme-kinetics.shinyapps.io/enzkinet_webpage/) provides a simple, interactive interface for teachers, students, and researchers to explore enzyme kinetics. It gives researchers the ability to design experiments and analyze data without specific software requirements.

Teachers' mental representations significantly shape their attitudes and guide their professional behavior. This study focuses on identifying prospective teachers' mental representations of gifted students and their education, using the AGA technique. In a cross-sectional study, 480 prospective teachers (M[subscript age] = 20.73 years) listed the associations about two selected concepts (i.e., gifted student and gifted education). The identified semantic categories of the prospective teachers' associations indicate that the participants' mental representations of gifted students primarily concern the psychosocial characteristics. These mental representations suggest that gifted students excel academically in general or in specific domains. Other psychosocial characteristics of gifted students are underrepresented, including characteristics of twice-exceptional gifted students. The analysis of associations with the concept of gifted education, on the other hand, shows the dominance of the semantic category of concrete didactic-methodological adaptations, with additional and challenging tasks predominating. Prospective teachers in their final year of study more frequently express associations with weaknesses in the implementation of gifted education in practice than prospective teachers in their first year of study. In general, the mental representations reflect an awareness of the importance of gifted education in terms of an enumeration of active working methods, differentiation, and critical reflection on existing practice.

Learning analytics (LA) dashboards are becoming increasingly available in various learning settings. However, teachers may face challenges in understanding and interpreting the data visualisations presented on those dashboards. In response to this, some LA researchers are incorporating visual cueing techniques, like data storytelling (DS), into LA dashboard design to reduce the data visualisation skills -- often referred to as visualisation literacy (VL) -- and cognitive effort required by teachers to effectively use dashboards. However, despite the potential of DS principles in simplifying data visualisations, there is limited evidence supporting their effectiveness in actually reducing teachers' cognitive load. The study presented in this paper addresses this gap by investigating the potential impact of LA dashboards, with and without DS elements, on teachers with varying VL levels. Through a quasi-experimental study involving 23 teachers, we analysed changes in pupil dilation -- a proxy for cognitive load -- as they examined LA dashboards featuring student data captured while participating in synchronous, online collaborative learning tasks. Our findings suggest DS can reduce cognitive load, particularly for teachers with lower VL. These results provide insight into the effects of DS and VL on teachers' cognitive load, thereby informing the design of LA dashboards.

Education is the most powerful weapon that can be used to change the world, whether in a developed or underdeveloped country. The present e-learning frameworks are changing rapidly with the change in technology and the need for education. However, one of the main problems is the unavailability of effective learning models and collaborative tools for complex topics, especially in science courses. This is due to the need for more visualization in learning platforms, one of the major problems that need attention. Otherwise, users might need help with falling short of potential in effective teaching shortly. This paper investigates the issue of the need for visualization methods. It gives an idea of how to solve this problem by testing it through various phases and forms of evaluation. Users surveyed the use of visualization methods in practice, recorded the results, and will carry out research based on the results obtained. An extensive literature survey was done on academic and industry reports in the context of the effectiveness of visualization on virtual platforms. Additionally, a primary survey was conducted using a research questionnaire to gather opinions from the primary stakeholders of the research, namely, students and instructors. Empathy tools were employed to comprehend the emotional state of stakeholders, providing enhanced insights into the identified problem. The work progressed by employing defining tools to concentrate on user needs and finalize the problem statement.

Purpose: The application of artificial intelligence chatbots is an emerging trend in educational technology studies for its multi-faceted advantages. However, the existing studies rarely take a perspective of educational technology application to evaluate the application of chatbots to educational contexts. This study aims to bridge the research gap by taking an educational perspective to review the existing literature on artificial intelligence chatbots. Design/methodology/approach: This study combines bibliometric analysis and citation network analysis: a bibliometric analysis through visualization of keyword, authors, organizations and countries and a citation network analysis based on literature clustering. Findings: Educational applications of chatbots are still rising in post-COVID-19 learning environments. Popular research issues on this topic include technological advancements, students' perception of chatbots and effectiveness of chatbots in different educational contexts. Originating from similar technological and theoretical foundations, chatbots are primarily applied to language education, educational services (such as information counseling and automated grading), health-care education and medical training. Diversifying application contexts demonstrate specific purposes for using chatbots in education but are confronted with some common challenges. Multi-faceted factors can influence the effectiveness and acceptance of chatbots in education. This study provides an extended framework to facilitate extending artificial intelligence chatbot applications in education. Research limitations/implications: The authors have to acknowledge that this study is subjected to some limitations. First, the literature search was based on the core collection on Web of Science, which did not include some existing studies. Second, this bibliometric analysis only included studies published in English. Third, due to the limitation in technological expertise, the authors could not comprehensively interpret the implications of some studies reporting technological advancements. However, this study intended to establish its research significance by summarizing and evaluating the effectiveness of artificial intelligence chatbots from an educational perspective. Originality/value: This study identifies the publication trends of artificial intelligence chatbots in educational contexts. It bridges the research gap caused by previous neglection of treating educational contexts as an interconnected whole which can demonstrate its characteristics. It identifies the major application contexts of artificial intelligence chatbots in education and encouraged further extending of applications. It also proposes an extended framework to consider that covers three critical components of technological integration in education when future researchers and instructors apply artificial intelligence chatbots to new educational contexts.

There is much interest in employing computer technology in design professions and education. However, few attempts have been made to apply immersive visualization technology to learn design details in landscape architecture. This study aims to illuminate how virtual reality (VR) technology helps students with design details in landscape architecture. Students were given a course project to create 3D models such as boardwalk structures located in residential pond areas. Based on their 3D models, we asked 16 research participants to answer survey questionnaires about the perception of realism, scale, and effectiveness of using computer technology in semi-immersive environments (e.g., monitor display-based) as opposed to fully immersive environments (e.g., VR head-mounted display-based). The results of our study showed that students had a higher realism in fully immersive environments compared to semi-immersive environments. In terms of perception of scale, participants perceived the height of the simulated model to be higher than they had anticipated in fully immersive environments. While there were no statistically significant findings regarding the effectiveness of design evaluation in the two modalities, students mentioned that VR technology can effectively assist in creating design details, as it provides them with a better understanding of the spatial characteristics of models.

While the use of video recording as a method of data collection has helped researchers to resolve the challenge of capturing classroom interactions between teachers and students, it can be challenging for the researchers and teachers to make sense of the rich data collected. This paper describes an approach of analysing and visualising a language lesson with lesson microgenre and network graphs to provide an overview map of the lesson enactment. Studying the language lesson from a lesson microgenre perspective can provide both the co-text and context of the lesson when specific segments of the lesson are identified for interpretation and reflection by the teacher. The lesson map is visualised using network graphs to show the progression, connections, and patterns of the lesson microgenres. The paper describes the application of the approach in a study of the English lessons conducted by two teachers in a Singapore primary school and discuss the implications of the approach on teacher training.

We used a novel linguistic training paradigm to investigate the experience-dependent acquisition, representation, and processing of novel emotional and neutral abstract concepts. Participants engaged in mental imagery (n = 32) or lexico-semantic rephrasing (n = 34) of linguistic material during five training sessions and successfully learned the novel abstract concepts. Feature production after training showed that specifically emotion features enriched the emotional concepts' representations. Unexpectedly, for participants engaging in vivid mental imagery during training a higher semantic richness of the acquired emotional concepts slowed down lexical decisions. Rephrasing, in turn, promoted a better learning and processing performance than imagery, probably due to stronger established lexical associations. Our results confirm the importance of emotional and linguistic experience and additional deep lexico-semantic processing for the acquisition, representation, and processing of abstract concepts.

Haptic perception is used in the anatomy laboratory with the handling of three-dimensional (3D) prosections, dissections, and synthetic models of anatomical structures. Vision-based spatial ability has been found to correlate with performance on tests of 3D anatomy knowledge in previous studies. The objective was to explore whether haptic-based spatial ability was correlated with vision-based spatial ability. Vision-based spatial ability was measured in a study group of 49 medical graduates with three separate tests: a redrawn Vandenberg and Kuse Mental Rotations Tests in two (MRT A) and three (MRT C) dimensions and a Surface Development Test (SDT). Haptic-based spatial ability was measured using 18 different objects constructed from 10 cubes glued together. Participants were asked to draw these objects from blind haptic perception, and drawings were scored by two independent judges. The maximum score was 24 for each of MRT A and MRT C, 60 for SDT, and 18 for the drawings. The drawing score based on haptic perception [median = 17 (lower quartile = 16, upper quartile = 18)] correlated with MRT A [14 (9, 17)], MRT C [9 (7, 12)] and SDT [44 (36, 52)] scores with a Spearman's rank correlation coefficient of 0.395 (p = 0.0049), 0.507 (p = 0.0002) and 0.606 (p < 0.0001), respectively. Spatial abilities assessed by vision-based tests were correlated with a drawing score based on haptic perception of objects. Future research should investigate the contribution of haptic-based and vision-based spatial abilities on learning 3D anatomy from physical models.

Project-based learning (PjBL) has been increasingly promoted and extended to online environments to enhance the quality of higher education. However, PjBL involves complex processes requiring higher-order thinking skills, which may pose challenges to many students especially in online settings with little prompt support from teachers. The problem may compromise the learning of low-achieving students, who often have inadequate higher-order thinking skills. Visible thinking approaches have the potential to make higher-order thinking processes accessible to students. This study was conducted with 72 university students who engaged in visible thinking supported online PjBL of computer programming. A one-group pretest-posttest design was adopted to compare the learning outcomes among high-, medium- and low-achieving students. The results showed that compared to high and medium achievers, low-achieving students made the most progress in product quality and thinking skills (in particular process design skills). They performed almost as well as medium and high achievers in product quality and process design skills at the end of the study. They also gained more knowledge from the project than high achievers did. Moreover, compared to medium achievers, low achievers perceived the approach as more valuable, made more effort on the study, and felt more competent in completing the project. The findings reveal the promising effects of visualizing higher-order thinking processes in narrowing the achievement gap between high and low achievers, offering all students an equal chance to engage in effective learning with projects.