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Direct linkXiaojing 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
Xiaojun Luo; Ismail Adelopo – Journal of International Education in Business, 2025
Purpose: This study aims to develops an interdisciplinary business and computer science pedagogy for teaching and learning computer programming in business schools at higher education institutions and explores its associated benefits, challenges and improvement. Design/methodology/approach: Based on a body of theories, an interdisciplinary…
Descriptors: Teaching Methods, Educational Opportunities, Difficulty Level, Business Administration Education
Ethan C. Campbell; Katy M. Christensen; Mikelle Nuwer; Amrita Ahuja; Owen Boram; Junzhe Liu; Reese Miller; Isabelle Osuna; Stephen C. Riser – Journal of Geoscience Education, 2025
Scientific programming has become increasingly essential for manipulating, visualizing, and interpreting the large volumes of data acquired in earth science research. Yet few discipline-specific instructional approaches have been documented and assessed for their effectiveness in equipping geoscience undergraduate students with coding skills. Here…
Descriptors: Earth Science, Undergraduate Students, Programming Languages, Computer Software
Shonn Cheng; Hsuan-Pu Chang; Sheng-Shiang Tseng – European Journal of Psychology of Education, 2024
The goal of the present study was to explore the relations among perceived psychosocial learning environments, instructional modality, motivation, self-regulated learning, and academic achievement in blended computer science education. The participants were 207 undergraduate students enrolled in a blended online and face-to-face design course. We…
Descriptors: Undergraduate Students, Computer Science Education, Blended Learning, Student Motivation
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
Akkaya, Ali; Akpinar, Yavuz – Computer Science Education, 2022
Background and Context: Though still a nascent area of research, serious games have been presented as means of engaging students in computer programming and computational thinking due to their immersive and interactive nature. Existing research is limited in its ability to provide systems based on sound instructional design models, and only a few…
Descriptors: Experiential Learning, Educational Games, Instructional Design, Programming
Liao, Yin-Chan; Ringler, Marjorie – Cogent Education, 2023
This study was undertaken to address an issue of student retention and learning in undergraduate computer science (CS) courses. To improve students' CS learning experience, the goal of this case study was to support five CS faculty's integration of active learning into their teaching, using the Understanding by Design framework. We explored the CS…
Descriptors: Active Learning, Teaching Methods, Computer Science Education, Educational Change
Yabing Jiang; Kazuo Nakatani – Journal of Information Systems Education, 2025
This research answers the call for Information Systems (IS) faculty to actively embrace rapidly advancing AI tools in teaching. We experimented with redesigning learning activities in two courses, requiring students to use GenAI, to aid student learning and teach responsible use of GenAI. The results show that students in the experimental group…
Descriptors: Teaching Methods, Technology Integration, Artificial Intelligence, Higher Education
Download full textWorkman, Michael D. – Journal of Cybersecurity Education, Research and Practice, 2021
Cybersecurity capabilities in organizations and governmental agencies continue to lag behind the threats. Given the current environment, these entities have placed renewed emphasis on cybersecurity education. However, education appears to lack its full potential in most settings. Few empirical studies have systematically tested the efficacy of…
Descriptors: Computer Security, Information Security, Computer Science Education, Instructional Effectiveness
Huang, Wanju – TechTrends: Linking Research and Practice to Improve Learning, 2023
A design case is a form of scholarly writing in which the author embarks on a reflective journey sharing rich descriptions of their design, design processes, challenges, etc. This paper presents two design cases that demonstrate how learning theories and instructional design concepts were purposefully incorporated in two instructional applications…
Descriptors: Learning Processes, Instructional Design, Learning Theories, Artificial Intelligence
Mese, Can – International Journal of Contemporary Educational Research, 2021
Interest has a key role in the learning and teaching processes. However, interest could be categorized as individual, situational, and topic interest. Situational interest that educators could design, develop, and organize with instructional design is the most significant. The structure of situational interest consists of triggered situational…
Descriptors: Foreign Countries, Likert Scales, Interest Inventories, Instructional Design
Sbaraglia, Marco; Lodi, Michael; Martini, Simone – Informatics in Education, 2021
Introductory programming courses (CS1) are difficult for novices. Inspired by "Problem solving followed by instruction" and "Productive Failure" approaches, we define an original "necessity-driven" learning design. Students are put in an apparently well-known situation, but this time they miss an essential ingredient…
Descriptors: Programming, Introductory Courses, Computer Science Education, Programming Languages
Ragazou, Vasiliki; Karasavvidis, Ilias – International Association for Development of the Information Society, 2021
Video tutorials substantially support demonstration-based training where the main goal is to enhance procedural knowledge by observing various understandable examples of performing a task. Although video tutorials are broadly popular nowadays, little attention is given to the design features of an instructional tutorial. The aim of this study is…
Descriptors: Instructional Design, Video Technology, Educational Technology, Cues
Emily Marie Lovell – ProQuest LLC, 2021
The field of computer science has long been plagued by issues of diversity - in particular, attracting and retaining those historically marginalized in computing contexts. This is a great loss to the field, to the future of innovation, and to society. Perhaps most importantly, it is an incalculable loss to those populations excluded from pursuing…
Descriptors: Computer Science Education, Student Diversity, Higher Education, Instructional Design
Asfaw, Abraham; Blais, Alexandre; Brown, Kenneth R.; Candelaria, Jonathan; Cantwell, Christopher; Carr, Lincoln D.; Combes, Joshua; Debroy, Dripto M.; Donohue, John M.; Economou, Sophia E.; Edwards, Emily; Fox, Michael F. J.; Girvin, Steven M.; Ho, Alan; Hurst, Hilary M.; Jacob, Zubin; Johnson, Blake R.; Johnston-Halperin, Ezekiel; Joynt, Robert; Kapit, Eliot; Klein-Seetharaman, Judith; Laforest, Martin; Lewandowski, H. J.; Lynn, Theresa W.; McRae, Corey Rae H.; Merzbacher, Celia; Michalakis, Spyridon; Narang, Prineha; Oliver, William D.; Palsberg, Jens; Pappas, David P.; Raymer, Michael G.; Reilly, David J.; Saffman, Mark; Searles, Thomas A.; Shapiro, Jeffrey H.; Singh, Chandralekha – IEEE Transactions on Education, 2022
Contribution: A roadmap is provided for building a quantum engineering education program to satisfy U.S. national and international workforce needs. Background: The rapidly growing quantum information science and engineering (QISE) industry will require both quantum-aware and quantum-proficient engineers at the bachelor's level. Research Question:…
Descriptors: Program Development, Engineering Education, Labor Needs, Quantum Mechanics
