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Direct linkMingyu Feng; Natalie Brezack; Chunwei Huang; Yvonne Kao; Kelly Collins; Melissa Lee; Megan Schneider; Wynnie Chan – Journal of Computer Assisted Learning, 2025
Background: Computer-assisted educational technologies that integrate affective supports into math practices could be particularly beneficial for addressing troubling declines in middle grade students' math achievement, affect, and motivation. MathSpring is a web-based intelligent tutor that offers personalised content, remedial tutoring, and…
Descriptors: Intelligent Tutoring Systems, Technology Uses in Education, Mathematics Education, Mathematics Achievement
Fountoukidou, Sofia; Matzat, Uwe; Ham, Jaap; Midden, Cees – Journal of Computer Assisted Learning, 2022
Background: Though pedagogical artificial agents are expected to play a crucial role in the years to come, earlier studies provide inconsistent results regarding their effect on learning. This might be because their potential for exhibiting subtle nonverbal behaviours we know from human teachers has been untapped. What is more, there is little…
Descriptors: Artificial Intelligence, Assistive Technology, Technology Uses in Education, Nonverbal Communication
Wang, Jingxian; Tigelaar, Dineke E. H.; Zhou, Tian; Admiraal, Wilfried – Journal of Computer Assisted Learning, 2023
Background: The impact of mobile technology usage on student learning in various educational stages has been the subject of ongoing empirical and review research. The most recent meta-analyses on various types of mobile technology use for potential benefits of learning covered the empirical studies up to about nine years ago. Since then, the use…
Descriptors: Educational Technology, Telecommunications, Handheld Devices, Elementary Secondary Education
