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Xiaojing Duan; Bo Pei; G. Alex Ambrose; Arnon Hershkovitz; Ying Cheng; Chaoli Wang – Education and Information Technologies, 2024
Providing educators with understandable, actionable, and trustworthy insights drawn from large-scope heterogeneous learning data is of paramount importance in achieving the full potential of artificial intelligence (AI) in educational settings. Explainable AI (XAI)--contrary to the traditional "black-box" approach--helps fulfilling this…
Descriptors: Academic Achievement, Artificial Intelligence, Prediction, Models
Tedre, Matti; Pajunen, John – ACM Transactions on Computing Education, 2023
A rich body of empirically grounded results and a solid theory base have often been viewed as signs of a mature discipline. Many disciplines have frequently debated what they should accept as legitimate kinds of theories, the proper roles of theory, and appropriate reference disciplines. Computing education research (CER) in particular has seen a…
Descriptors: Educational Theories, Computer Science Education, Educational Research, Educational Philosophy
Toker, Sacip – Education and Information Technologies, 2022
This study investigates the association between instructional design projects and 21st-Century skills. A causal-comparative design was utilised. The participants were 85 computer education and instructional technology department students who registered for a core instructional design course. The participants are divided into two groups: Rapid…
Descriptors: 21st Century Skills, Instructional Design, Teaching Methods, Computer Science Education
Remsh Nasser Alqahtani; Ahmad Zaid Almassaad – Journal of Education and Learning, 2024
This study proposed a conceptualization for the e-training of computer science teachers based on the TAWOCK model. After analyzing several scientific papers, a proposed conceptualization based on the TAWOCK model was presented for training computer science teachers in specialized topics in the field of computing and reviewed by several…
Descriptors: Computer Science Education, Faculty Development, Electronic Learning, Models
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
Rosenberg-Kima, Rinat B.; Merrill, M. David; Baylor, Amy L.; Johnson, Tristan E. – Educational Technology Research and Development, 2022
Novice programmers, who have yet to form effective mental models of the domain, often experience high cognitive load, low confidence, and high anxiety, negatively affecting learning and retention rates. These cognitive and affective limitations pose an instructional challenge. This study aimed to investigate the effectiveness of a whole-task…
Descriptors: Computer Science Education, Instructional Effectiveness, Novices, Programming
Dogan, Dilek; Tüzün, Hakan – Education and Information Technologies, 2022
In this study, the instructional design process in three-dimensional multi-user virtual environments (3D MUVEs) based on a problem-based learning approach was examined and authentic design experiences were shared. Besides, a design model was proposed to guide people who want to design these 3D MUVEs and to use these environments for educational…
Descriptors: Models, Instructional Design, Computer Simulation, Problem Based Learning
Hutchison, Amy; Evmenova, Anya S. – Intervention in School and Clinic, 2022
States increasingly are adopting computer science standards to help students develop coding and computational thinking skills. In an effort to support teachers in introducing computer science content to their students with high-incidence disabilities, a new model, computer science integration planning plus universal design for learning (CSIP+),…
Descriptors: Computer Science Education, Students with Disabilities, Access to Education, Computation
Thomas, Paul JoseKutty – ProQuest LLC, 2021
Software modeling is an integral practice for software engineers especially as the complexity of software solutions increase. There is precedent in industry to model information systems in terms of functions, structures, and behaviors. While constructing these models, abstraction and systems thinking are employed to determine elements essential to…
Descriptors: Computer Science Education, Programming Languages, Academic Achievement, College Students
Guney, Zafer – Malaysian Online Journal of Educational Technology, 2019
The aim of this study is to introduce the four-component instructional design (4C/ID) model in teaching loops for programming by using the model, which is defined in programming instruction, with the principles of the model for teaching technical skills and to discuss the differences in instructional planning and to discuss in the process of…
Descriptors: Instructional Design, Computer Science Education, Programming, Models
Phillips, A. M.; Gouvea, E. J.; Gravel, B. E.; Beachemin, P. -H.; Atherton, T. J. – Physical Review Physics Education Research, 2023
Computation is intertwined with essentially all aspects of physics research and is invaluable for physicists' careers. Despite its disciplinary importance, integration of computation into physics education remains a challenge and, moreover, has tended to be constructed narrowly as a route to solving physics problems. Here, we broaden Physics…
Descriptors: Physics, Science Instruction, Teaching Methods, Models
Ait-Adda, Samia; Bousbia, Nabila; Balla, Amar – E-Learning and Digital Media, 2023
Our aim in this paper is to improve the efficiency of a learning process by using learners' traces to detect particular needs. The analysis of the semantic path of a learner or group of learners during the learning process can allow detecting those students who are in needs of help as well as identify the insufficiently mastered concepts. We…
Descriptors: Semantics, Learning Processes, Learning Analytics, Models
Saulnier, Bruce; Ceccucci, Wendy; Sendall, Patricia; Peslak, Alan – Journal of Information Systems Education, 2019
This paper invites Computer Information System (CIS) program stakeholders to consider several strategic issues. They include: Curriculum & Pedagogy, Business Model & Value Proposition, Increasingly Diverse Student Body, and Student Success & Completion. These strategic issues are those in which faculty have the ability to provide the…
Descriptors: Computer Science Education, Information Systems, Strategic Planning, Higher Education
Laovisutthichai, Vikrom; Srihiran, Kaweekrai; Lu, Weisheng – Industry and Higher Education, 2023
Building information modeling (BIM) has been a disruptive development in the global architecture, engineering, construction and operations (AECO) industry. While architecture schools have sought to integrate BIM into their curricula, most current pedagogical approaches and lessons are derived from engineering and construction management…
Descriptors: Architectural Education, Case Studies, Creativity, Construction Industry
Luburic, Nikola; Sladic, Goran; Slivka, Jelena; Milosavljevic, Branko – ACM Transactions on Computing Education, 2019
With ever-greater reliance of the developed world on information and communication technologies, constructing secure software has become a top priority. To produce secure software, security activities need to be integrated throughout the software development lifecycle. One such activity is security design analysis (SDA), which identifies security…
Descriptors: Computer Security, Case Studies, Blended Learning, Models