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Jiangyue Liu; Siran Li – Journal of Educational Computing Research, 2024
Pair Programming is considered an effective approach to programming education, but the synchronous collaboration of two programmers involves complex coordination, making this method difficult to be widely adopted in educational settings. Artificial Intelligence (AI) code-generation tools have outstanding capabilities in program generation and…
Descriptors: Artificial Intelligence, Programming, Technology Uses in Education, Coding
Thi-Ngoc-Anh Duong; Hsiu-Ling Chen – Journal of Educational Computing Research, 2025
Writing plays a crucial role in the development of English as a Foreign Language (EFL) learners' language; however, it remains a challenging skill for them to acquire. This study investigated how EFL students at a high school in Northern Vietnam engaged with the Writing Assistant Bot (WAB), an artificial intelligence (AI) chatbot designed to…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Computer Software, Technology Uses in Education
Weipeng Yang – Journal of Educational Computing Research, 2024
Computational Thinking (CT) is essential for developing creativity, problem-solving, and digital competence in the 21st century. Coding tools like robotic toys and tablet apps have become popular in early childhood education to support CT development, but there is a debate on which tool is more effective. Little evidence exists on the effect of…
Descriptors: Coding, Preschool Children, Computation, Thinking Skills
Hanieh Shafiee Rad; Ali Roohani – Journal of Educational Computing Research, 2025
This study investigates the efficacy of task-based chatbots in enhancing speaking skills and shaping the attitudes toward language learning of L2 learners while fostering a translanguaging space. The research employs a mixed-methods approach through quantitative and qualitative data collection methods. A sample of 80 L2 learners participated in…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication, Second Language Learning
Nauryz Kuldanov; Svetlana Balagazova; Kamarsulu Ibrayeva; Aliya Mombek; Zhanbolat Kosherbayev; Nazymgul Bolatkhan – Journal of Educational Computing Research, 2025
The primary aim of this study was to evaluate whether the use of the EmoMusic dataset could enhance first-year students' emotional and musical creativity. A randomized controlled trial was conducted with 128 students. Participants were randomly assigned either to a control group that continued traditional vocal training or to an experimental group…
Descriptors: College Freshmen, Music Education, Creativity, Emotional Response
Alberto Cannavò; Federico De Lorenzis; Filippo Gabriele Pratticò; Lorenzo Galante; Fabrizio Lamberti – Journal of Educational Computing Research, 2024
Today, immersive technologies like Virtual Reality (VR) are regarded as disruptive tools in many domains, including education. While the body of literature in the field is growing, studies that present contrasting findings are not uncommon. In fact, although there is evidence of the benefits brought by VR in the educational processes, in some…
Descriptors: Computer Simulation, Technology Uses in Education, Science Education, Laboratory Experiments
Xiao-na Hu; Jia-hua Zhang; Ling-yue Li; Min Lan; Hong-mei Li – Journal of Educational Computing Research, 2025
Virtual reality-based teaching training helps to overcome the limitations of traditional microteaching, especially in terms of the authenticity and complexity of simulated teaching scenarios. However, most of the existing related studies focus on the enhancement of trainees' teaching skills and relatively neglect the characteristics of teaching…
Descriptors: Computer Simulation, Microteaching, Training, Preservice Teachers
Lei Shi – Journal of Educational Computing Research, 2025
This study explores the integration of advanced AI technologies, including emotion detection and adaptive learning systems, to enhance second language acquisition among 274 English as a Foreign Language (EFL) learners. Utilizing a pretest-posttest randomized control trial, the research evaluates the effects of AI-enhanced interventions on…
Descriptors: Artificial Intelligence, Technology Uses in Education, Emotional Response, Intelligent Tutoring Systems
Pin-Hui Li; Hsin-Yu Lee; Chia-Ju Lin; Wei-Sheng Wang; Yueh-Min Huang – Journal of Educational Computing Research, 2025
The core purpose of integrating inquiry-based learning strategies into STEM activities is to create a challenging learning environment that stimulates students' active learning, thereby effectively enhancing their interest in learning, thinking skills, and practical application abilities. To achieve these goals, developing more technology-assisted…
Descriptors: Computer Software, Artificial Intelligence, Synchronous Communication, Active Learning
Gawon Yun; Kewman M. Lee; Hailey Hyunjin Choi – Journal of Educational Computing Research, 2025
Scholarly interest in artificial intelligence (AI) has surged as researchers delve into its transformative impact on various aspects of our lives. AI poses both benefits and challenges, particularly in the context of educators' endeavors to comprehend the intricacies of students' learning processes. Although the use of AI to enhance and assist…
Descriptors: Student Empowerment, Bibliometrics, Artificial Intelligence, Computer Software
Nihalani, Priya K.; Robinson, Daniel H. – Journal of Educational Computing Research, 2022
We sought to identify factors that optimize individual learning in complex, technology-enhanced learning environments. Undergraduates viewed tutorials and played a simulation-based game either alone or in groups and in either high or low cognitive load sequences and later took tests measuring comprehension of tutorials and transfer of computer…
Descriptors: Cognitive Processes, Difficulty Level, Cooperative Learning, Technology Uses in Education
Yu, Qing; Yu, Kun – Journal of Educational Computing Research, 2023
Body movements are regarded as part of the learning process. With the evolution of motion-sensing technology (MST) (e.g., Kinect, Xtion Pro, and Leap Motion), educational researchers try to explore the effect of MST on learning. However, the effect of MST on learning performance is still unclear. This is the first meta-analysis that aims to…
Descriptors: Human Body, Motion, Information Technology, Computer Software
Yuting Chen; Ming Li; Morris Siu-Yung Jong – Journal of Educational Computing Research, 2025
Peer assessment (PA) is widely acknowledged as an effective method for facilitating students' writing development by fostering self-regulated learning. However, it often fails to address the issue of anxiety that many students experience while learning to write. To address this challenge, the present study proposed an innovative approach…
Descriptors: Physical Environment, Simulated Environment, Synthesis, Information Technology
Hsing-Ying Tu; Silvia Wen-Yu Lee – Journal of Educational Computing Research, 2025
Learning in a virtual environment has been found to foster students' affective responses, indicating the importance of exploring the factors which affect students' learning when engaged in a virtual game. This study aimed to explore the relationships among students' epistemic curiosity, situational interest, and learning engagement in an…
Descriptors: Personality Traits, Student Interests, Learner Engagement, Computer Simulation
Yu, Zhonggen – Journal of Educational Computing Research, 2020
The extended constructs of technology acceptance model (TAM) have rarely been linked to psychological influence factors. This study complements for the missing link in literature through structural equation modeling and a nonparametric Mann-Whitney U test based on the data obtained from a large-scale questionnaire survey. It is concluded that (a)…
Descriptors: Beliefs, Adoption (Ideas), Self Esteem, Gender Differences

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