Publication Date
| In 2025 | 4 |
Descriptor
Source
| Journal of Computer Assisted… | 4 |
Author
| Hanzhu Yang | 1 |
| Hao Wang | 1 |
| Haode Zuo | 1 |
| James F. Lee | 1 |
| Jiarui Hou | 1 |
| Linlin Hu | 1 |
| Mengdi Li | 1 |
| Stephen Doherty | 1 |
| Xiaorong Yang | 1 |
| Yinyu Wang | 1 |
| Yongjing Lu | 1 |
| More ▼ | |
Publication Type
| Information Analyses | 4 |
| Journal Articles | 4 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkHanzhu Yang; Linlin Hu; Hao Wang; Yunfei Xin – Journal of Computer Assisted Learning, 2025
Background: Computational thinking (CT) is a cognitive approach intricately linked with core competencies in Science, Technology, Engineering, and Mathematics (STEM). Numerous studies have explored strategies to effectively integrate CT into STEM education and systematically evaluated the multidimensional impact on student learning outcomes.…
Descriptors: Integrated Activities, Computation, Thinking Skills, STEM Education
Zhiwei Liu; Haode Zuo; Yongjing Lu – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, a generative artificial intelligence (GenAI) chatbot, has gained significant traction as a tool for supporting students learning. Despite its growing popularity, there is still no academic consensus on its effectiveness in enhancing students' academic achievement. Objectives: This study aims to explore the effect of ChatGPT on…
Descriptors: Artificial Intelligence, Technology Uses in Education, Academic Achievement, Meta Analysis
Mengdi Li; Yinyu Wang; Xiaorong Yang – Journal of Computer Assisted Learning, 2025
Background: Generative artificial intelligence (GenAI) chatbots have shown great application potential and research value in the field of language learning, especially in second language acquisition (SLA). Objectives: This study aims to validate the value of GenAI chatbots for SLA and elucidate which moderating variables affect learning outcomes.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication, Second Language Learning
Jiarui Hou; James F. Lee; Stephen Doherty – Journal of Computer Assisted Learning, 2025
Background: Recent research has demonstrated the potential of mobile-assisted learning to enhance learners' learning outcomes. In contrast, the learning processes in this regard are much less explored using eye tracking technology. Objective: This systematic review study aims to synthesise the relevant work to reflect the current state of eye…
Descriptors: State of the Art Reviews, Eye Movements, Electronic Learning, Handheld Devices
