NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Aidan Doyle; Pragnya Sridhar; Arav Agarwal; Jaromir Savelka; Majd Sakr – Journal of Computer Assisted Learning, 2025
Background: In computing education, educators are constantly faced with the challenge of developing new curricula, including learning objectives (LOs), while ensuring that existing courses remain relevant. Large language models (LLMs) were shown to successfully generate a wide spectrum of natural language artefacts in computing education.…
Descriptors: Computer Science Education, Artificial Intelligence, Learning Objectives, Curriculum Development
Peer reviewed Peer reviewed
Direct linkDirect link
Wen Xin Zhang; John J. H. Lin; Ying-Shao Hsu – Journal of Computer Assisted Learning, 2025
Background Study: Assessing learners' inquiry-based skills is challenging as social, political, and technological dimensions must be considered. The advanced development of artificial intelligence (AI) makes it possible to address these challenges and shape the next generation of science education. Objectives: The present study evaluated the SSI…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Inquiry, Active Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Hsiung, C .M.; Luo, L. F.; Chung, H. C. – Journal of Computer Assisted Learning, 2014
Cooperative learning has many pedagogical benefits. However, if the cooperative learning teams become ineffective, these benefits are lost. Accordingly, this study developed a computer-aided assessment method for identifying ineffective teams at their early stage of dysfunction by using the Mahalanobis distance metric to examine the difference…
Descriptors: Cooperative Learning, Teamwork, Identification, Instructional Effectiveness
Peer reviewed Peer reviewed
Direct linkDirect link
Coe, J. E. L.; Oakhill, J. V. – Journal of Computer Assisted Learning, 2011
A study was carried out to explore whether or not there is a relationship between children's reading ability and text-messaging behaviour. The aims of this study were to compare good and poor readers on their amount of usage of mobile phones, the frequency and type of text devices they used, and the speed at which they could read messages in…
Descriptors: Reading Ability, Student Behavior, Computer Mediated Communication, Electronic Mail