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Daniel T. Hickey; Ronald J. Kantor – Journal of Cybersecurity Education, Research and Practice, 2024
The cybersecurity threat landscape evolves quickly, continually, and consequentially. This means that the "transfer" of cybersecurity learning is crucial. We compared how different recognized "cognitive" transfer theories might help explain and synergize three aspects of cybersecurity education. These include "teaching and…
Descriptors: Transfer of Training, Computer Science Education, Computer Security, Metacognition
Yoonhee Shin; Jaewon Jung; Hyun Ji Lee – Metacognition and Learning, 2024
This study investigated the effects of concept-oriented faded in worked-out examples (WOE) and metacognitive scaffolding on learners' transfer performance and motivation in programming education. Two types of faded in WOE and metacognitive scaffolding were provided. A total of 140 participants were randomly assigned into one of four groups, with…
Descriptors: Metacognition, Concept Formation, Scaffolding (Teaching Technique), Learning Processes
Leonard 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
Chun-Ying Chen – ACM Transactions on Computing Education, 2025
This study examined the effects of worked examples with different explanation types and novices' motivation on cognitive load, and how this subsequently influenced their programming problem-solving performance. Given the study's emphasis on both instructional approaches and learner motivation, the Cognitive Theory of Multimedia Learning served as…
Descriptors: Models, Learning Motivation, Cognitive Processes, Difficulty Level
Zharkynay Yesmakhanova; Yerepbayev Nurlan; Aktolkyn Boranbayeva; Alimbayev Medeu; Galiya Rysbayeva; Nurlybek Omarov – South African Journal of Education, 2024
Educational environments created by combining traditional learning environments and technology have grown, especially in recent years and have become an indispensable part of education. Therefore, with this research we aimed to evaluate students' attitudes towards blended learning. To gather university students' opinions on the effectiveness of…
Descriptors: Evaluation, Student Attitudes, Blended Learning, Computer Science Education
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
Kyungbin Kwon; Thomas A. Brush; Keunjae Kim; Minhwi Seo – Journal of Educational Computing Research, 2025
This study examined the effects of embodied learning experiences on students' understanding of computational thinking (CT) concepts and their ability to solve CT problems. In a mixed-reality learning environment, students mapped CT concepts, such as sequencing and loops, onto their bodily movements. These movements were later applied to robot…
Descriptors: Thinking Skills, Computer Science Education, Robotics, Programming
Daniele 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
Paula M. Castro; Óscar Fresnedo; Adriana Dapena; Javier Pereira; Francisco J. Vázquez-Araujo – Journal of Service-Learning in Higher Education, 2024
Service-Learning (SL) is a powerful methodology to acquire competences and values in Higher Education. However, there is still no widespread use in Information and Computer Science (ICS) degrees where most of the subjects are focused on the development of theoretical and practical contents purely related to technical competences. In this paper, we…
Descriptors: Service Learning, Undergraduate Students, Bachelors Degrees, Theses
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
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
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
Omar Ahmed Yacoub – ProQuest LLC, 2023
The Purpose of this dissertation is to explore undergraduate Computer Science (CS) students' writing processes and transfer as they occur in the process of completing a writing assignment in a CS course. In particular, I observe and analyze students' writing processes, and investigate examples of writing knowledge transfer from prior and…
Descriptors: Undergraduate Students, Computer Science Education, Majors (Students), Transfer of Training