A Conceptual Framework for Self-Regulated Learning and Assessment in Pre-service Teacher Education
Year: 2025
Type: conference-paper
Abstract: Learning Analytics (LA) is a growing trend used to understand how students manage their learning with self-regulation to achieve learning objectives by combining their aptitude with classroom engagement. These involve collecting, analyzing, and reporting student data to optimize learning processes and achievement. By leveraging student data, LA empowers higher education to enhance teaching effectiveness, personalize
Institution: King Mongkut's Institute of Technology Ladkrabang
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4408409878
