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While gamified technology integration in vocabulary instruction within a flipped classroom has yielded beneficial teaching outcomes, specific studies have raised concerns about potential adverse effects linked to this approach. As a result, conducting a comparative analysis between gamified technology and conventional paper-based methods within the flipped classroom framework has become essential. This analysis aims to foster the development of a targeted teaching approach that adeptly addresses the unique needs of students. This study employed a sequential explanatory research design to examine the effectiveness of flipped classroom with gamified technology and paper-based method in teaching vocabulary to students with different proficiency levels. Quantitative data was gathered from a pretest and a posttest, whilst qualitative data was collected through teachers' guided reflection. Using Academic Word List (300 target words), control groups employed a paper-based, while experimental groups applied gamified technology ("Quizlet," "Kahoot!," "Quizizz," "Socrative," and "Google Form"), which lasted 10 weeks. The participants were 144 non-English major students who took a general English course in the 2nd semester of 2023. Quantitative data analysis ran in SPSS 25 using "Paired Sample t-Test" and "One-way ANOVA." The qualitative data were analyzed using thematic progression. The results showed that gamified technology did not affect students' learning outcomes, while the paper-based method resulted conversely. It revealed that the paper-based method is more effective than gamified technology for students in general, with low proficiency and high-proficiency level. Further, teachers' beliefs admitted distinctive issues that gamified technology was more effective for high-proficiency learners, whereas paper-based was more effective for low-proficiency learners. The difference analysis of quantitative and qualitative data sheds light on discussing threats while implementing gamified technology and possible solutions.

This article focuses on the possible relationship between predictions, developed during the resolution of geometrical tasks within a Paper-and-Pencil Environment (PPE), and subsequent explorations within a Dynamic Geometry Environment (DGE). Building on Fischbein's Theory of Figural Concepts, and to gain insight into the transition of predictions from the PPE to the DGE, I introduce an analytical scheme that includes the identification of the solvers' figural concepts in focus and geometric predictions; dragging modalities that solvers make use of in the DGE; reactive and proactive dimensions of the interaction with dynamic objects in the DGE. I present a fine-grained qualitative analysis of data collected during task-based interviews as high school students reason about a geometrical task--first on paper-and-pencil and then in a DGE. The analyses of three representative examples show that the interaction with DGE objects can lead students to rethink the geometrical configuration and renegotiate predictions, depending on the circumstances that offer the opportunities to experiment with continuities or discontinuities during the transition of prediction from one to the other environment.

Faculty in the information systems (IS) and information technology (IT) fields are faced with the challenge to keep their curriculum relevant and current. What was taught two years ago will often be outdated and faculty must constantly update their curriculum on which courses should be taught as well as what should be taught within a particular course. This research continues a fifteen-year effort to help understand employer needs in terms of the skills they desire new hires to possess upon employment. This is the sixth version of this employer survey. The survey continues to report the responses of over 500 IS/IT professionals and was expanded to ask additional questions related to salary information. In addition, based on feedback from open-ended questions in a prior survey, new categories were added to the survey. Several key results and changes from prior surveys include that VR/AR (virtual reality/augmented reality) platforms showed the highest anticipated growth rate for all operating platforms in the next two years, analytics tools such as Apache Spark showed high growth rate, and JavaScript maintained the first position for programming languages.

Throughout this study technology and especially mobile phones was utilized in EFL classrooms in order to see whether it can influence the process of vocabulary formative assessment and consequently improve vocabulary learning of Iranian pre-intermediate EFL learners or not. Two groups of pre-intermediate EFL learners participated in this study. Regarding the first group (FMA) the vocabulary learning of learners was assessed formatively during ten sessions using Socrative mobile application. The vocabulary learning of the second group (FPA) was also assessed formatively but paper and pen were the instruments used by instructor and students to take the tests. After applying quasi-experimental research design including pretest, treatment and posttest and after running independent sample t tests to posttest scores, the results showed that those pre-intermediate EFL learners attending in the group where vocabulary gain was assessed formatively using mobile application named Socrative performed significantly better in posttest than group assessed formatively based on paper and pen (Sig=0.03<0.05). The analysis of attitude questionnaire distributed among participants of the group assessed formatively using mobile phone exhibited that they possessed a positive attitude towards mobile based testing.

The aim of this research is to advance in the teaching-learning process of representing quadratic functions, both with pencil and paper and with a technological tool. For this purpose, a didactic experience is presented. Firstly, it is explained in the traditional way how to graph a quadratic function; secondly, students are introduced to the GeoGebra software. It provides a categorization of the different errors and difficulties of the students, the comparison between a graphic representation with paper and pencil and a representation with GeoGebra, and the improvement with the technological tool.

Graphing is an important practice for scientists and in K-16 science curricula. Graphs can be constructed using an array of software packages as well as by hand, with pen-and-paper. However, we have an incomplete understanding of how students' graphing practice vary by graphing environment; differences could affect how best to teach and assess graphing. Here we explore the role of two graphing environments in students' graphing practice. We studied 43 undergraduate biology students' graphing practice using either pen-and-paper (PP) (n = 21 students) or a digital graphing tool GraphSmarts (GS) (n = 22 students). Participants' graphs and verbal justifications were analyzed to identify features such as the variables plotted, number of graphs created, raw data versus summarized data plotted, and graph types (e.g., scatter plot, line graph, or bar graph) as well as participants' reasoning for their graphing choices. Several aspects of participant graphs were similar regardless of graphing environment, including plotting raw vs. summarized data, graph type, and overall graph quality, while GS participants were more likely to plot the most relevant variables. In GS, participants could easily make more graphs than in PP and this may have helped some participants show latent features of their graphing practice. Those students using PP tended to focus more on ease of constructing the graph than GS. This study illuminates how the different characteristics of the graphing environment have implications for instruction and interpretation of assessments of student graphing practices.

Artificial intelligence tools have presented many challenges and opportunities to transform teaching and learning on college campuses. These changes are significant enough to require colleges to take action to create a framework by which faculty and students can navigate the proper usage of these tools. Rather than working to create entirely new policies strictly for addressing these new technologies, they should instead edit their existing academic integrity and intellectual property statements to incorporate explicit mentions of artificial intelligence.

Cheating behaviour in exams in the form of plagiarism occurs in school and college education. Academic fraud is common at the higher education level at the undergraduate, master's level, and even at the doctoral level. Academic fraud is getting out of control and is difficult to eradicate on examinations carried out online without strict supervision. The purpose of this research was to reveal the level of academic cheating in the form of plagiarism and its correlation with the results of the mid and final test of the Doctoral program, which was conducted in the form of an on-line take-home examination. This research use a correlation analysis technique with a simple regression test. The sample was determined by purposive sampling technique, amounting to 101 students of 2018, 2019, and 2020 classes who took the 2nd-semester learning technical analysis and development courses. The plagiarism level of the mid and final-semester results was tested using Turnitin. This research found that the level of plagiarism in the form of an average similarity index in the mid-semester are at the intermediate level; medium level internet resources; publication at a low level; and middle-level student papers. Meanwhile, at the end of the semester, it is known that the similarity index is at the intermediate level; medium level internet resources; low level publications, and student papers at the intermediate level. Furthermore, the results of this study also reveal that there is a positive and significant correlation between index, internet source, and student papers with the results of mid-semester exams, except for the source of publication plagiarism. Meanwhile, there is only a positive and significant correlation between the source of student paper plagiarism and the examination of the results for the final semester exams. In contrast, the similarity index, internet sources, and publication did not find a significant relationship.

The purpose of this article is to describe a couple of challenging mathematical problems that involve paper folding. These problem solving tasks can be used to foster geometric and algebraic thinking among students. The context of paper folding makes some of the abstract mathematical ideas involved relatively concrete. When implemented appropriately these activities have the potential to address many of the mathematical proficiencies, as delineated by Australian Curriculum and Assessment Reporting Authority (ACARA, 2014). [This paper was first published in the "Australian Senior Mathematics Journal," in 2014 (EJ1093386).]

Drawing-to-learn is a specific learning/reading strategy studied across many domains. In response to gaps in our knowledge about drawing-to-learn, we conducted a systematic meta-analysis of the literature published since the influential 2005 Van Meter and Garner literature review. We analyzed the benefits of directed learner-generated visual representations such as sketching, drawing, or computer-assisted creation of a full or partial static image. Forty-one peer-reviewed articles were screened in, together with 9 dissertations and 2 other documents; published from 2005 to 2018, these included 53 studies and 166 effects based on 8111 participants. The overall effect of drawing-to-learn across all dependent variable types (factual, inferential, and transfer) and both types of effects--comparing different types of drawing and comparing drawing to non-drawing conditions--was a significant g = 0.69. The overall effect was significant but differed across outcomes (g = 0.85 for factual, g = 0.44 for inferential, and g = 0.22 for transfer). Analyses across 6 moderators are presented. Not only does the literature continue to show that drawing-to-learn is better than the status quo, but directed drawing improves factual as well as inferential and transfer learning. Finally, researchers have found ways to improve drawing-to-learn instruction so that it can be even more effective than the simple directive to make a drawing.

Vocabulary acquisition is one of the largest and most important tasks in language classes. New technologies, such as computers, have helped a lot in this way. The importance of the issue led the researchers to do the present study which concerns the comparison of contextualized vocabulary learning on paper and through Computer Assisted Language Learning (CALL). To this end, 52 Pre-university EFL learners were randomly assigned in two groups: a paper-based group (PB ) and a computer-based (CB) group each with 26 learners. The PB group received PB contextualization of vocabulary items, while the CB group received CB contextualization of the vocabulary items thorough PowerPoint (PP) software. One pretest, posttest, along with an immediate and a delayed posttest were given to the learners. Paired samples t-test of pretest and posttest and independent samples t-test of the delayed and immediate posttest were executed by SPSS software. The results revealed that computer-based contextualization had more effects on vocabulary learning of Iranian EFL learners than paper-based contextualization of the words.

Current academic and industry discussions regarding systems development project approaches increasingly focus on agile development and/or DevOps, as these approaches are seen as more modern, streamlined, flexible, and, therefore, effective as compared to traditional plan-driven approaches. This extends to the current pedagogy for teaching systems analysis and design (SA&D). However, overemphasizing agile and DevOps neglects broader dimensions that are essential for planning and executing enterprise-level systems projects. Thus, a dilemma may arise: do we teach agile and DevOps techniques that may be inadequate for enterprise-level projects or do we teach the wider range of plan-driven skills and techniques that may conflict with the tenets and benefits of agile and DevOps? In this paper, we advocate for resolving this dilemma by adopting a generalized process framework that both fully supports enterprise-level projects but can also be selectively scaled back toward increased agility for smaller, less complex projects. In its full realization, this framework combines extensive project planning and up-front requirements with iterative delivery -- an increasingly popular approach today for enterprise projects. In scaling back toward agile, the framework carefully accounts for system, environment, and team characteristics. Further, the model emphasizes issues frequently underemphasized by agile approaches, including the use of external software such as commercial-off-the-shelf (COTS), Software-as-a-Service (SaaS), and open source products and components; the need for business-oriented project planning and justification; and support for change management to ensure successful system adoption. The framework thereby flexibly accommodates the full range of activities that software projects must support to be successful.

The purpose of the study was to explore how technological advances incorporated into the Philology Studies curriculum could impact the students' research skills and the quality of their research projects and what students' and teachers' impressions of the reshaped research component of the curriculum were. The study used qualitative and quantitative methods with the dominance of qualitative methods. It employed the baseline study, checklist to assess students' research papers, assessment criteria, and the Triangular Assessment Method to assess the students' papers. The consensus meeting was held to allow the experts to express their reasoning for the scores. The semi-structured interview was administered to the students' and teachers' to identify their impressions of the reshaped research component of the curriculum of philology. The technological advances incorporated into Philology Studies curriculum improve the students' research skills and the quality of their research projects. Both students and teachers appreciated the reshaped research component of the curriculum. The analytical software can be successfully incorporated in the corpus analysis-purpose student research. The students found the intervention a challenging experience that 'pumped up' their intellectual, research, and technical skills. They reported improvement in interpreting corpus using correlations, frequencies, distributions, and collecting information using software to organise it in a professional way. The lecturers agreed that the technology-based instructional model incorporated into Philology Studies curriculum improved both students' research skills and the quality of their research projects.

This article contrasts the normal method for drawing Lewis structures with a two-step systematic approach. The latter approach uses a known molecular connectivity and a knowledge of the number of valence electrons that each atom possesses to visualize bonds that are formed by pairing electrons, one from each atom. This process is repeated until at least one of the non-hydrogen atoms in each bond has an octet. Donor bonds are added when atoms with six and eight electrons are adjacent. In forming donor bonds charges are added to the atoms involved to maintain electron accounting and there is no need to use a formula to calculate formal charges. The general importance of adhering to the octet rule for p-block compounds is stressed and the difference between covalent and donor bonds and the use of the recent IUPAC definition of oxidation state which is based on Lewis structures is included in the discussion. When students are able to draw Lewis structures they can be given access to PC software, available on an academic free basis, which will draw rotatable Lewis structures in 3D for p-block compounds. The software allows the user to move electron pairs in a bow and arrow fashion within the structures and atoms are highlighted when the octet is exceeded.

Knowledge representation of scientific paper data is a problem to be solved,and how to learn the representation of paper nodes in scientific paper heterogeneous network is the core to solve this problem.This paper proposes an unsupervised cluster-level scientific paper heterogeneous graph node representation learning method(UCHL),aiming at obtaining the representation of nodes (authors,institutions,papers,etc.) in the heterogeneous graph of scientific papers.Based on the heterogeneous graph representation,this paper performs link prediction on the entire heterogeneous graph and obtains the relationship between the edges of the nodes,that is,the relationship between paper and paper.Experiments results show that the proposed method achieves excellent performance on multiple evaluation metrics on real scientific paper datasets.

With the rapidly increasing entrance examinations for the School of Continuing education of CUGB, there is an urgent need of the examination papers that have the parallel testing ability for the same academic program. Based on the analysis of parallel factors and the comparison of the manual generated mode and the computer generated mode, the most time-consuming and experience-consuming steps are found. By providing supports to those steps automatically, a semi-auto computer generated testing paper system was designed and developed for reducing the workload of the experienced faculties to generate testing papers. The papers were generated based on a gradually constructed item-bank. The system offered multiple templates of the testing paper structure plan for assisting semi-auto paper generated procedure and guaranteeing the parallel of the generated papers. In order to construct an item-bank in a short time, an easy-to-use authoring tool with powerful functions was designed and developed. The system supported the spring entrance examination of SCECUGB in 2010 successfully. Faculties gave positive feedback toward the system. (Contains 8 figures and 4 tables.)

Fragmented connectivity in South Africa is the dominant barrier for digitising initiatives. New insights surfaced when a university-based nursing programme introduced tablets within a supportive network learning environment. A qualitative, explorative design investigated adult nurses' experiences of the realities when moving from paper-based learning towards using tablets within a blended learning environment. Purposive sampling was applied. 45 (N) participants were included, each receiving a preloaded tablet (15 running on iOS, 15 on Android 4.2.2 Jelly Bean and 15 on Windows® 8 operating systems), being WiFi-dependent, integrated into a supportive learning network. Participants completed eleven compulsory Internet-based activities. Three reflective focus groups with 18 (n) participants concluded the project. Through self-empowerment and supportive environment, students adopted seamlessly, overcame network and resource-related challenges. Valuable lessons were learned within the digital divide, integrate tablets into distance learning from a resilient and pragmatic approach.