Publication Date
| In 2026 | 0 |
| Since 2025 | 7 |
| Since 2022 (last 5 years) | 7 |
| Since 2017 (last 10 years) | 7 |
| Since 2007 (last 20 years) | 7 |
Descriptor
Source
| Journal of Computer Assisted… | 7 |
Author
| Chin-Hsi Lin | 1 |
| Fang Fang | 1 |
| Fangzhou Jin | 1 |
| Gwo-Jen Hwang | 1 |
| Jia-Hua Zhao | 1 |
| Jiachun Liu | 1 |
| Jing-Wen Xu | 1 |
| Jue-Qi Guan | 1 |
| Junjun Chen | 1 |
| Keyi Zhou | 1 |
| Lanfang Sun | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 7 |
| Reports - Research | 7 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
| Elementary Education | 2 |
| Grade 5 | 1 |
| High Schools | 1 |
| Intermediate Grades | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Location
| China | 7 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkWeipeng Shen; Xiao-Fan Lin; Jiachun Liu; Xinxian Liang; Ruiqing Chen; Xiaoyun Lai; Xinwen Zheng – Journal of Computer Assisted Learning, 2025
Background: Generative artificial intelligence (GenAI) chatbots extend transformative impact in higher education. Current research requires more comprehensive evaluations of the collaborative learning fostered by students and GenAI chatbots. However, existing articles have rarely explored the dynamic process of student--AI collaboration in higher…
Descriptors: Undergraduate Students, Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication
Xiao-Feng Wang; Jue-Qi Guan; Jing-Wen Xu; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2025
Background: Group work plays a significant role in facilitating creative tasks and fostering student creativity, much like collaborative painting is an effective strategy for enhancing team creativity. Successful group work necessitates the establishment of efficient socially shared regulation (SSR). However, in current face-to-face learning…
Descriptors: Self Management, Sharing Behavior, Performance, Creativity
Masoumeh Kouhsari; Junjun Chen – Journal of Computer Assisted Learning, 2025
Background: The increasing integration of artificial intelligence (AI) in education has highlighted the need for research on its role in fostering career sustainability among school leaders. Existing knowledge lacks a comprehensive understanding of how trust in AI relates to school leaders' performance and well-being amidst rapid technological…
Descriptors: Artificial Intelligence, Technology Uses in Education, Trust (Psychology), Technology Integration
Jia-Hua Zhao; Shu-Tao Shangguan; Ying Wang – Journal of Computer Assisted Learning, 2025
Background: Computational thinking (CT) is a fundamental ability required of individuals in the 21st-century digital world. Past studies show that generative artificial intelligence (GenAI) can enhance students' CT skills. However, GenAI may produce inaccurate output, and students who rely too much on AI may learn little and be unable to think…
Descriptors: Artificial Intelligence, Technology Uses in Education, Skill Development, Computation
Xin Tang; Zhiqiang Yuan; Shaojun Qu – Journal of Computer Assisted Learning, 2025
Background: Generative artificial intelligence (AI) represents a significant technological leap, with platforms like OpenAI's ChatGPT and Baidu's Ernie Bot at the forefront of innovation. This technology has seen widespread adoption across various sectors of society and is anticipated to revolutionise the educational landscape, especially in the…
Descriptors: Influences, College Students, Student Behavior, Intention
Yu Cui; Lingjie Tang; Fang Fang – Journal of Computer Assisted Learning, 2025
Background Study: With the rapid transition to remote learning necessitated by the closure of traditional educational infrastructures globally, the arena of informal digital learning of English (IDLE) has received much attention, particularly among English as a Foreign Language (EFL) learners in China. Objective: This study explores how…
Descriptors: Electronic Learning, Artificial Intelligence, Predictor Variables, Informal Education
Fangzhou Jin; Xiangmei Peng; Lanfang Sun; Zicong Song; Keyi Zhou; Chin-Hsi Lin – Journal of Computer Assisted Learning, 2025
Background: There are various challenges to teachers' use of generative artificial intelligence (GenAI) for professional learning. Although GenAI is expected to play a transformative role in teachers' learning, its impact on them remains subtle. Objectives: Guided by community of practice, this paper examines the integration of GenAI into an…
Descriptors: Artificial Intelligence, Communities of Practice, Technology Uses in Education, Experienced Teachers
