Background/purpose: The study tries to discover how predictive thinking can be incorporated into writing activities to assist students in developing their creative skills in writing learning environments. Through this study, teachers will be able to adopt a new teaching method that helps transform the way creative writing is taught in language…

Purpose: This study investigates the impact of AI-assisted pair programming on undergraduate students' intrinsic motivation, programming anxiety, and performance, relative to both human-human pair programming and individual programming approaches. Methods: A quasi-experimental design was conducted over two academic years (2023-2024) with 234…

This quantitative correlational study examines school-level longitudinal outcomes of eighth-grade algebra universal acceleration in 15 U.S. school districts when compared with selective acceleration in 289 school districts. Universally accelerated school districts had higher enrollments, with large effect sizes, in geometry, algebra 2, and…

This study investigates the validity and reliability of generative large language models (LLMs), specifically ChatGPT and Google's Bard, in grading student essays in higher education based on an analytical grading rubric. A total of 15 experienced English as a foreign language (EFL) instructors and two LLMs were asked to evaluate three student…

Academic stress, an endemic phenomenon in higher education, presents a multifaceted challenge, manifesting as cognitive overload, affective dysregulation and physiological destabilisation. It leads to recurrent feedback loops that reinforce anxiety and frustration, intensifying maladaptive stress responses. This study examines the extent to which…