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Jiahua Zhang; Qianqian Pan; Di Zhang; Bin Meng; Gwo-Jen Hwang – Journal of Educational Computing Research, 2024
Virtual Reality (VR) shows the potential to tackle the limitations and deficiencies of traditional microteaching training by offering an intricate and lifelike environment that helps pre-service teachers to develop their teaching skills. However, the effects of VR training on each teaching skill sub-dimension remain inconclusive. This study…
Descriptors: Computer Simulation, Microteaching, Preservice Teachers, Teaching Skills
Dan Sun; Fan Xu – Journal of Educational Computing Research, 2025
Real-time collaborative programming (RCP), which allows multiple programmers to work concurrently on the same codebase with changes instantly visible to all participants, has garnered considerable popularity in higher education. Despite this trend, little work has rigorously examined how undergraduates engage in collaborative programming when…
Descriptors: Cooperative Learning, Programming, Computer Science Education, Undergraduate Students
Ruijie Zhou; Chong Xie; Xiuling He; Yangyang Li; Qiong Fan; Ying Yu; Zhonghua Yan – Journal of Educational Computing Research, 2024
Computational thinking (CT), an essential competency for comprehending and addressing intricate issues in the digital world, has been incorporated into curriculum planning as a goal for programming education. This study introduced flow design into programming curricula to investigate its impact on undergraduates 'CT skills during pair work. Two…
Descriptors: Undergraduate Students, Thinking Skills, Computation, Programming
Ting-Ting Wu; Lusia Maryani Silitonga; Budi Dharmawan; Astrid Tiara Murti – Journal of Educational Computing Research, 2024
The relationship between computational thinking (CT) and academic self-efficacy for building students' academic resilience--a trait crucial for problem-solving, peer relationships, and confidence development--was investigated. A mixed-methods approach was employed in a study involving 60 participants; half were given CT instruction and half were…
Descriptors: Computation, Thinking Skills, Self Efficacy, Resilience (Psychology)
Hsin-Yu Lee; Ting-Ting Wu; Chia-Ju Lin; Wei-Sheng Wang; Yueh-Min Huang – Journal of Educational Computing Research, 2024
Science, Technology, Engineering, and Mathematics (STEM) education is essential for developing future-ready learners in both secondary and higher education levels. However, as students transition to higher education, many encounter challenges with independent learning and research. This can negatively impact their Higher-Order Thinking Skills…
Descriptors: Experiential Learning, STEM Education, Scaffolding (Teaching Technique), Barriers
Yu-Hung Chiang; Yu-Chen Su; Wei-Tsong Wang; Tien-Chi Huang – Journal of Educational Computing Research, 2025
As big data and artificial intelligence become integral to business decision-making, business management students require proficiency in data science and big data. However, the use of instructional technologies, such as augmented reality (AR) and mind mapping to teach these subjects is limited. This study introduces an innovative pedagogical model…
Descriptors: Business Education, College Students, Foreign Countries, Data
Wang, Xinyue; Cheng, Mengmeng; Li, Xinfeng – Journal of Educational Computing Research, 2023
Computational thinking (CT) is considered a fundamental skill that everyone in the 21st century should have. Game-based learning (GBL) may be used to teach CT, and it's necessary to clarify how to design and implement game-based CT teaching. The literature was systematically searched for empirical studies published between 2011 and 2021.…
Descriptors: Computation, Thinking Skills, Game Based Learning, Teaching Methods
Meier, Heidi; Lepp, Marina – Journal of Educational Computing Research, 2023
Especially in large courses, feedback is often given only on the final results; less attention is paid to the programming process. Today, however, some programming environments, e.g., Thonny, log activities during programming and have the functionality of replaying the programming process. This information can be used to provide feedback, and this…
Descriptors: Programming, Introductory Courses, Computer Science Education, Teaching Methods
Hsu, Wen-Chin; Gainsburg, Julie – Journal of Educational Computing Research, 2021
Block-based programming languages (BBLs) have been proposed as a way to prepare students for learning to program in more sophisticated, text-based languages, such as Java. Hybrid BBLs add the ability to view and edit the block commands in auto-generated, text-based code. We compared the use of a non-hybrid BBL (Scratch), a hybrid BBL (Pencil…
Descriptors: Computer Science Education, Introductory Courses, Teaching Methods, Student Attitudes
Azzeddine Boudouaia; Samia Mouas; Bochra Kouider – Journal of Educational Computing Research, 2024
The field of computer-assisted language learning has recently brought about a notable change in English as a Foreign Language (EFL) writing. Starting from October 2022, students across different academic fields have increasingly depended on ChatGPT-4 as a helpful resource for addressing particular challenges in EFL writing. This study aimed to…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Teaching Methods
Xu, Xinhao; Wang, Fang – Journal of Educational Computing Research, 2022
This paper reports an immersive virtual reality lab (iVRLab) training environment that offers college students an immersive and embodied experience in engineering lab work. The iVRLab provides a simple and safe environment for students to learn the complex lab operations to process and prepare silicon wafers. It features highly embodied…
Descriptors: Engineering Education, Laboratory Experiments, Pandemics, COVID-19
Lijuan Feng – Journal of Educational Computing Research, 2025
This study investigates the impact of AI-assisted language learning (AIAL) strategies on cognitive load and learning outcomes in the context of language acquisition. Specifically, the study explores three distinct AIAL strategies: personalized feedback and adaptive learning, interactive exercises with speech recognition, and intelligent tutoring…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Tan, Seng Chee; Wang, Xinghua; Li, Lu – Journal of Educational Computing Research, 2022
This study explored the development trajectory of shared epistemic agency in online collaborative learning through epistemic network analysis and lag sequential analysis. It was carried out in a postgraduate course with 14 in-service teachers. Drawing on the online discussion data from six sessions and the participants' academic scores, this study…
Descriptors: Cooperative Learning, Epistemology, Personal Autonomy, Online Courses
Shin, Yoonhee; Song, Donggil – Journal of Educational Computing Research, 2022
This study explores the effect of self-regulated learning support on learners' cognitive load and problem-solving performance, considering cases from well-structured to ill-structured tasks in a computer programing course. Sixty-seven undergraduate students in a computer programing fundamentals course were randomly assigned into one of two groups:…
Descriptors: Cognitive Ability, Computer Science Education, Programming, Problem Solving
Fidan, Mustafa; Gencel, Nurgun – Journal of Educational Computing Research, 2022
This study investigated the effects of artificial intelligence (AI)-based chatbot and peer feedback mechanisms integrated into the instructional videos (IVs) as a feedback tool on learning performance and intrinsic motivation of pre-service teachers (PTs) in online learning. The participants were 144 PTs from a university in Turkey. A…
Descriptors: Academic Achievement, Learning Motivation, Video Technology, Comparative Analysis