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Direct linkYang Jiang; Beata Beigman Klebanov; Jiangang Hao; Paul Deane; Oren E. Livne – Journal of Computer Assisted Learning, 2025
Background: Writing is integral to educational success at all levels and to success in the workplace. However, low literacy is a global challenge, and many students lack sufficient skills to be good writers. With the rapid advance of technology, computer-based tools that provide automated feedback are being increasingly developed. However, mixed…
Descriptors: Feedback (Response), Writing Evaluation, Middle School Students, High School Students
Melissa Mustika; Charles Y. C. Yeh; Hercy N. H. Cheng; Calvin C. Y. Liao; Tak-Wai Chan – Journal of Computer Assisted Learning, 2025
Background Study: The integration of mind maps as a prewriting activity has shown potential in enhancing students' writing skills, yet there is limited research focusing specifically on third-grade elementary students' descriptive narrative creative writing within technology-enhanced learning environments. The use of digital tools, such as writing…
Descriptors: Concept Mapping, Prewriting, Writing (Composition), Narration
Yue Huang; Joshua Wilson – Journal of Computer Assisted Learning, 2025
Background: Automated writing evaluation (AWE) systems, used as formative assessment tools in writing classrooms, are promising for enhancing instruction and improving student performance. Although meta-analytic evidence supports AWE's effectiveness in various contexts, research on its effectiveness in the U.S. K-12 setting has lagged behind its…
Descriptors: Writing Evaluation, Writing Skills, Writing Tests, Writing Instruction
