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Ravendran, Saravnesvaran; Karpudewan, Mageswary; Ali, Mohd Norawi; Lay, Yoon Fah – Malaysian Online Journal of Educational Sciences, 2023
The Fourth Industrial Revolution (4IR) refers to the current rapid technological growth that fundamentally changes how humans live. 4IR is essential to improve higher education worldwide and develop crucial skills such as e-learning and innovation, information and media technology, and life and career skills. This study aims to assess the…
Descriptors: Technological Advancement, Foreign Countries, Technological Literacy, Pedagogical Content Knowledge
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DeLiema, David; Kwon, Yejin Angela; Chisholm, Andrea; Williams, Immanuel; Dahn, Maggie; Flood, Virginia J.; Abrahamson, Dor; Steen, Francis F. – Cognition and Instruction, 2023
When teachers, researchers, and students describe productively responding to moments of failure in the learning process, what might this mean? Blending prior theoretical and empirical research on the relationship between failure and learning, and empirical results from four data sets that are part of a larger design-based research project, we…
Descriptors: Guidelines, Learning Processes, Correlation, Failure
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Michael Li – Language Learning & Technology, 2023
The acquisition of Chinese characters has been widely acknowledged as challenging for learners of Chinese as a foreign language (CFL) due to their unique logographic nature and the time and effort involved. However, recent advancements in instructional technologies demonstrate a promising role in facilitating the teaching and learning of Chinese…
Descriptors: Orthographic Symbols, Technology Uses in Education, Teaching Methods, Research Reports
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Glogger-Frey, Inga; Treier, Anne-Katrin; Renkl, Alexander – Instructional Science: An International Journal of the Learning Sciences, 2022
A worked-out or an open inventing problem with contrasting cases can prepare learners for learning from subsequent instruction differently regarding motivation and cognition. In addition, such activities potentially initiate different learning processes during the subsequent ("future") learning phase. In this experiment (N = 45…
Descriptors: Preservice Teachers, Motivation, Learning Processes, Learning Strategies
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Prasad, Prajish; Iyer, Sridhar – Research and Practice in Technology Enhanced Learning, 2022
Evaluating a software design is an important practice of expert software designers. They spend significant time evaluating their solution, by developing an integrated mental model of the software design and the requirements. However, sufficient emphasis has not been given on teaching and learning of evaluation practices in software design courses,…
Descriptors: Computer Software, Design, Computer Science Education, Models
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Cheng, Chen; Kibbe, Melissa M. – Developmental Psychology, 2022
Children live in a dynamic environment, in which objects continually change locations and move into and out of occlusion. Children must therefore rely on working memory to store information from the environment and to update those stored representations as the environment changes. Previous work suggests that the ability to store information in…
Descriptors: Child Development, Preschool Children, Short Term Memory, Cognitive Ability
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Michalovich, Amir – International Journal of Social Research Methodology, 2022
Computer-Assisted Qualitative Data Analysis (CAQDAS) is becoming increasingly prevalent in the social and health sciences and an expected skill for many researchers. CAQDAS is much less structured than the use of quantitative analysis software. However, actual CAQDAS practices and challenges have been insufficiently studied, especially among…
Descriptors: Qualitative Research, Data Analysis, Computer Software, Graduate Students
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Hua, Amy K.; Lakey, Pascale S. J.; Shiraiwa, Manabu – Journal of Chemical Education, 2022
This paper presents MATLAB user interfaces for two multiphase kinetic models: the kinetic double-layer model of aerosol surface chemistry and gas--particle interactions (K2-SURF) and the kinetic multilayer model of aerosol surface and bulk chemistry (KM-SUB). Each interface has simple and user-friendly features that allow undergraduate and…
Descriptors: Chemistry, Science Instruction, Computer Interfaces, Kinetics
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Colvert, Angela – Literacy, 2022
To support digital literacies in schools, fundamental reorientation and rethinking is required to develop 'appropriate' pedagogical practices which are aligned with (and extend) the current curriculum. To achieve this, new flexible frameworks and tools are needed to support educators to work creatively and productively within the current…
Descriptors: Technological Literacy, Play, Design, Teaching Methods
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Workman, Michael D.; Luevanos, J. Anthony; Mai, Bin – IEEE Transactions on Education, 2022
Contribution: Based on a previous exploratory study, this research further investigated learning mode contributions from simulations and live competitive activities compared to a traditional classroom, laboratory, and testing approach to instruction in order to assess the applied behavioral contributions of each. Background: Cybersecurity…
Descriptors: Computer Security, Information Security, Computer Science Education, Simulation
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Johnson, Amy L.; Gleit, Rebecca D. – Teaching Sociology, 2022
Despite the centrality of data analysis to the discipline, sociology departments are currently falling short of teaching both undergraduate and graduate students crucial computing and statistical software skills. We argue that sociology instructors must intentionally and explicitly teach computing skills alongside statistical concepts to prepare…
Descriptors: College Students, Sociology, Social Science Research, Computer Science Education
Du, Han; Enders, Craig; Keller, Brian; Bradbury, Thomas N.; Karney, Benjamin R. – Grantee Submission, 2022
Missing data are exceedingly common across a variety of disciplines, such as educational, social, and behavioral science areas. Missing not at random (MNAR) mechanism where missingness is related to unobserved data is widespread in real data and has detrimental consequence. However, the existing MNAR-based methods have potential problems such as…
Descriptors: Bayesian Statistics, Data Analysis, Computer Simulation, Sample Size
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Rawson, Rebecca; Okere, Uchechukwu; Tooth, Owen – International Review of Research in Open and Distributed Learning, 2022
Recent research in the field of virtual reality (VR) education is dominated by the application, experience, and effectiveness of high-immersive environments. However, high-immersive VR may not be accessible to all learners, with online distance learning students in particular unable to fully engage without being supplied with appropriate…
Descriptors: Computer Simulation, Technology Uses in Education, Electronic Learning, Environmental Education
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Markouzis, Dimitrios; Baziakou, Aikaterini; Fesakis, Georgios; Dimitracopoulou, Angelique – International Journal of Mobile and Blended Learning, 2022
In recent years more and more people use their mobile phones daily for work or entertainment. The increasing use of mobile devices has led researchers to seek new ways of learning with their support, beyond the confines of formal education. The increasing computing power of mobile devices has contributed to the emergence of new, rapidly evolving…
Descriptors: Foreign Countries, Handheld Devices, Electronic Learning, Simulated Environment
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Karjalainen, Mika; Ojala, Anna-Liisa; Vatanen, Marko; Lötjönen, Jarno – International Journal of Adult Education and Technology, 2022
This qualitative study includes nine semi-structured interviews with cybersecurity experts from different security-related organizations who are familiar with cybersecurity exercises. Its contribution to cybersecurity workforce development focuses on organizational learning rather than individual skills development and relevant competencies. It…
Descriptors: Computer Security, Computer Science Education, Organizational Learning, Skill Development
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