How does cognitive load interact with self-regulated learning? A dynamic and integrative model

T Wang, SP Lajoie - Educational Psychology Review, 2023 - Springer
Although cognitive load (CL) and self-regulated learning (SRL) have been widely
recognized as two determinant factors of students' performance, the integration of these two …

[HTML][HTML] Cognitive ease at a cost: LLMs reduce mental effort but compromise depth in student scientific inquiry

M Stadler, M Bannert, M Sailer - Computers in Human Behavior, 2024 - Elsevier
This study explores the cognitive load and learning outcomes associated with using large
language models (LLMs) versus traditional search engines for information gathering during …

The metacognitive demands and opportunities of generative AI

L Tankelevitch, V Kewenig, A Simkute… - Proceedings of the CHI …, 2024 - dl.acm.org
Generative AI (GenAI) systems offer unprecedented opportunities for transforming
professional and personal work, yet present challenges around prompting, evaluating and …

Applications of Machine Learning in Education and Skill Developments

P SivaPadmini, MBV Christiana, R Pitchai… - … Knowledge Sharing in …, 2024 - igi-global.com
The integration of machine learning (ML) techniques in education and skill development has
revolutionized traditional teaching and learning paradigms. This chapter explores …