Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 11 |
| Since 2017 (last 10 years) | 17 |
| Since 2007 (last 20 years) | 22 |
Descriptor
| Teaching Methods | 25 |
| Transfer of Training | 25 |
| Computer Science Education | 24 |
| Programming | 16 |
| Comparative Analysis | 8 |
| Instructional Effectiveness | 8 |
| Problem Solving | 8 |
| Learning Processes | 7 |
| Undergraduate Students | 6 |
| College Students | 5 |
| Computer Software | 5 |
| More ▼ | |
Source
Author
| Alena Khmelinskaia | 1 |
| Alicia Feichtenbiner | 1 |
| Andersson, David | 1 |
| Brian Koepnick | 1 |
| Brush, Thomas Andrew | 1 |
| Celine Abell | 1 |
| Christine S. Kang | 1 |
| Daniele Traversaro | 1 |
| David Baker | 1 |
| Decker, Adrienne | 1 |
| Elijah Arenas | 1 |
| More ▼ | |
Publication Type
Education Level
Audience
Location
| Africa | 1 |
| Ghana | 1 |
| Greece | 1 |
| Japan | 1 |
| Latvia | 1 |
| Malaysia | 1 |
| Missouri | 1 |
| North Carolina | 1 |
| Russia | 1 |
| Sweden | 1 |
| United Kingdom | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkLeonard J. Mselle – Discover Education, 2025
In this paper the "Memory Transfer Language" program visualization (MTL PV) technique is combined with "constructivism" ("conceptual contraposition and colloquy") and "reversibility" to evolve a new approach for instructional design for teaching and learning introductory programming. A sample of 1,364…
Descriptors: Introductory Courses, Computer Science Education, Constructivism (Learning), Comparative Analysis
Kao, Yvonne; Matlen, Bryan; Weintrop, David – ACM Transactions on Computing Education, 2022
The 1980s and 1990s saw a robust connection between computer science education and cognitive psychology as researchers worked to understand how students learn to program. More recently, academic disciplines such as science and engineering have begun drawing on cognitive psychology research and theories of learning to create instructional materials…
Descriptors: Computer Science Education, Cognitive Psychology, Transfer of Training, Programming
Download full textDaniele Traversaro; Giorgio Delzanno; Giovanna Guerrini – Informatics in Education, 2024
Concurrency is a complex to learn topic that is becoming more and more relevant, such that many undergraduate Computer Science curricula are introducing it in introductory programming courses. This paper investigates the combined use of Sonic Pi and Team-Based Learning to mitigate the difficulties in early exposure to concurrency. Sonic Pi, a…
Descriptors: Misconceptions, Programming Languages, Computer Science Education, Undergraduate Students
Sharafeddin, Mageda A.; Samarji, Ahmad – Journal of Applied Research in Higher Education, 2023
Purpose: In a technological era driven by coding, programming and artificial intelligence (AI), there is more need than ever to develop computing skills and knowledge for non-specialist students. Nonetheless, the literature on computer science teaching methods of non-scientific majors is not as comprehensive as that of scientific ones.…
Descriptors: Computer Science Education, Journalism Education, Public Relations, Professional Education
Hui Zhang; Yi Zhang; Tao Xu; Yun Zhou – Educational Technology Research and Development, 2024
Virtual Reality (VR) is increasingly recognized as a promising tool to enhance learning, yet research on the use of VR instructional approaches for online learning remains limited. The present study aims to address this research gap by examining the effects of VR instructional approaches and textual cues on learning. We conducted an educational VR…
Descriptors: Teaching Methods, Cognitive Ability, Computer Simulation, Cues
Ye, Jiachu; Lai, Xiaoyan; Wong, Gary Ka-Wai – Journal of Computer Assisted Learning, 2022
Background: Computational thinking (CT) is regarded as an essential 21st-century skill, and attempts have been made to integrate it into other subjects. Instructional approaches to CT development and assessment in the field of computer science have attracted global attention, but the influence of CT skills on other subject areas is…
Descriptors: Transfer of Training, Thinking Skills, Meta Analysis, 21st Century Skills
Saba, Janan; Hel-Or, Hagit; Levy, Sharona T. – Instructional Science: An International Journal of the Learning Sciences, 2023
This article concerns the synergy between science learning, understanding complexity, and computational thinking (CT), and their impact on near and far learning transfer. The potential relationship between computer-based model construction and knowledge transfer has yet to be explored. We studied middle school students who modeled systemic…
Descriptors: Transfer of Training, Science Instruction, Learning Management Systems, Learning Processes
Krish Pillai; Marcia Lovas – International Society for Technology, Education, and Science, 2023
A typical first computer science course (CS1) introduces the student to coding conventions, variables, methods, control structures, conditionals, and the semantics of classes and objects. Advanced concepts of inheritance, polymorphism, abstract classes, interfaces, and their use in the design process, are covered in a second-level course (CS2).…
Descriptors: Computer Games, Educational Games, Teaching Methods, Technology Uses in Education
Mselle, Leonard; Ishengoma, Fredrick – Education and Information Technologies, 2022
In this paper, MTL, an approach for visualization-based pedagogy, is analyzed and contextualized in both Cognitive Load Theory (CLT) and Dual Coding Theory (DCT). Through MTL, lectures, tutorials, laboratory sessions and individual study in learning and teaching programming are all carried out using two cognitive channels; verbal and non-verbal.…
Descriptors: Visualization, Teaching Methods, Cognitive Ability, Learning Theories
Morrison, Briana B.; Margulieux, Lauren E.; Decker, Adrienne – Computer Science Education, 2020
Background and Context: Subgoal labeled worked examples have been extensively researched, but the research has been reported piecemeal. This paper aggregates data from three studies, including data previously unreported, to holistically examine the effect of subgoal labeled worked examples across three student populations and across different…
Descriptors: Computer Science Education, Instructional Materials, Instructional Effectiveness, Problem Solving
Ezeamuzie, Ndudi O. – Journal of Educational Computing Research, 2023
Most studies suggest that students develop computational thinking (CT) through learning programming. However, when the target of CT is decoupled from programming, emerging evidence challenges the assertion of CT transferability from programming. In this study, CT was operationalized in everyday problem-solving contexts in a learning experiment (n…
Descriptors: Programming, Computer Science Education, Problem Solving, Thinking Skills
Hohensee, Charles, Ed.; Lobato, Joanne, Ed. – Research in Mathematics Education, 2021
This book provides a common language for and makes connections between transfer research in mathematics education and transfer research in related fields. It generates renewed excitement for and increased visibility of transfer research, by showcasing and aggregating leading-edge research from the transfer research community. This book also helps…
Descriptors: Transfer of Training, Mathematics Education, Learning Theories, Mathematical Logic
Erin C. Yang; Robby Divine; Christine S. Kang; Sidney Chan; Elijah Arenas; Zoe Subol; Peter Tinker; Hayden Manninen; Alicia Feichtenbiner; Talal Mustafa; Julia Hallowell; Isiac Orr; Hugh Haddox; Brian Koepnick; Jacob O'Connor; Ian C. Haydon; Karla-Luise Herpoldt; Kandise Van Wormer; Celine Abell; David Baker; Alena Khmelinskaia; Neil P. King – Journal of Chemical Education, 2022
Undergraduate research experiences can improve student success in graduate education and STEM careers. During the COVID-19 pandemic, undergraduate researchers at our institution and many others lost their work-study research positions due to interruption of in-person research activities. This imposed a financial burden on the students and…
Descriptors: Undergraduate Students, Teaching Methods, COVID-19, Pandemics
Marquardson, Jim; Gomillion, David L. – Information Systems Education Journal, 2019
Simulated environments can provide a convenient, effective way to teach skills. Simulations have been used for decades to teach skills such as piloting aircraft. As technology has improved, it has become feasible to simulate many other tasks. Recent advances in virtual and augmented reality provide new avenues for expanding training using…
Descriptors: Computer Simulation, Teaching Methods, Transfer of Training, Introductory Courses
Sadik, Olgun; Ottenbreit-Leftwich, Anne Todd; Brush, Thomas Andrew – International Journal of Computer Science Education in Schools, 2020
The purpose of this study is to identify secondary computer science (CS) teachers' pedagogical needs in the United States. Participants were selected from secondary teachers who were teaching CS courses or content in a school setting (public, private, or charter) or an after-school program during the time of data collection. This is a qualitative…
Descriptors: Secondary School Teachers, Computer Science Education, Student Centered Learning, Teaching Methods
Previous Page | Next Page »
Pages: 1 | 2
