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Yoon Lee; Gosia Migut; Marcus Specht – British Journal of Educational Technology, 2025
Learner behaviours often provide critical clues about learners' cognitive processes. However, the capacity of human intelligence to comprehend and intervene in learners' cognitive processes is often constrained by the subjective nature of human evaluation and the challenges of maintaining consistency and scalability. The recent widespread AI…
Descriptors: Artificial Intelligence, Cognitive Processes, Student Behavior, Cues
Wenyi Lu; Joseph Griffin; Troy D. Sadler; James Laffey; Sean P. Goggins – Journal of Learning Analytics, 2025
Game-based learning (GBL) is increasingly recognized as an effective tool for teaching diverse skills, particularly in science education, due to its interactive, engaging, and motivational qualities, along with timely assessments and intelligent feedback. However, more empirical studies are needed to facilitate its wider application in school…
Descriptors: Game Based Learning, Predictor Variables, Evaluation Methods, Educational Games
Soysal, Dilek; Bani-Yaghoub, Majid; Riggers-Piehl, Tiffani A. – Pedagogical Research, 2022
The relationships between math anxiety and other variables such as students' motivation and confidence have been extensively studied. The main purpose of the present study was to employ a machine learning approach to provide a deeper understanding of variables associated with math anxiety. Specifically, we applied classification and regression…
Descriptors: Mathematics Anxiety, STEM Education, Predictor Variables, Self Esteem
Damerji, Hassan; Salimi, Anwar – Accounting Education, 2021
The use of Artificial Intelligence (AI) is growing rapidly in accounting practice, and firms desire new hires who have adopted this technology. Universities can prepare students to adopt AI. The purpose of this quantitative study was to examine whether perceived ease of use (PEOU) and perceived usefulness (PU) have an effect on the relationship…
Descriptors: Technological Literacy, Technological Advancement, Artificial Intelligence, Career Readiness
Gabriel, Florence; Signolet, Jason; Westwell, Martin – International Journal of Research & Method in Education, 2018
Mathematics competency is fast becoming an essential requirement in ever greater parts of day-to-day work and life. Thus, creating strategies for improving mathematics learning in students is a major goal of education research. However, doing so requires an ability to look at many aspects of mathematics learning, such as demographics and…
Descriptors: Artificial Intelligence, Mathematics Instruction, Numeracy, Models