NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 12 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Eunsung Park; Jongpil Cheon – Journal of Educational Computing Research, 2025
Debugging is essential for identifying and rectifying errors in programming, yet time constraints and students' trivialization of errors often hinder progress. This study examines differences in debugging challenges and strategies among students with varying computational thinking (CT) competencies using weekly coding journals from an online…
Descriptors: Undergraduate Students, Programming, Computer Software, Troubleshooting
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Lin Zhang; Qiang Jiang; Weiyan Xiong; Wei Zhao – Journal of Educational Computing Research, 2025
This study seeks to deepen the understanding of the direct and indirect effects of human-computer dialogic interaction programming activities, facilitated by ChatGPT, on student engagement. Data were collected from 109 Chinese high school students who engaged in programming tasks using either ChatGPT-driven dialogic interaction or traditional pair…
Descriptors: Artificial Intelligence, Computer Software, Computer Science Education, Programming
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Jiahe Gu; Zi Yan – Journal of Educational Computing Research, 2025
Generative artificial intelligence (GenAI) has the potential to change student learning. Despite the popularity of integrating this novel technology into teaching and learning practices, few meta-analyses have synthesised its effect in the education context with K-12 and college students. This review examined the effects of GenAI interventions on…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Türkan Karakus Yilmaz; Zafer Yilmaz; Ömer Arpacik – Journal of Educational Computing Research, 2025
This study compares museum-related knowledge, museum learning experiences and cognitive load based on task types presented via a mobile application during a museum virtual tour. The study involved three experiments, each examining the effects of different task types. In the first experiment, tasks varied by difficulty (easy vs. difficult), in the…
Descriptors: Cognitive Ability, Museums, Computer Simulation, Information Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Ali Alqarni – Journal of Educational Computing Research, 2025
This study examined the effect of gamification on visual programming and computational thinking skills among primary school students, aiming to investigate how gamified learning environments enhance cognitive skill development and conceptual integration compared to traditional teaching methods. A quasi-experimental design was employed, involving…
Descriptors: Thinking Skills, Game Based Learning, Achievement Tests, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Jiahui Wu; Jianwei Li; Zigang Ge; Mingrui Xu; Li Lin; Ru Zhang – Journal of Educational Computing Research, 2025
Automated written corrective feedback (AWCF) tools play a crucial role in supporting English writing instruction. However, issues such as insufficient accuracy and hallucination have undermined users' trust in these systems. To address these challenges, this study investigates the potential of Generative Artificial Intelligence (GAI) enhanced by…
Descriptors: Error Correction, Feedback (Response), Artificial Intelligence, Computer Software