Models of self-regulated learning and academic achievement
type: Dataset
description: Book's abstract : Self-regulated learning is a new approach to studying student academic achievement. In contrast to previous ability or environmental formulations that address the "why" of achievement, self-regulation models focus on "how" students activate, alter, and sustain their learning practices using a variety of self-related processes. This book brings together a number of internationally known researchers representing different theoretical perspectives on students' self-regulated learning. In each chapter, the authors first describe a particular view of self-regulated learning to show how key subprocesses are defined and measured. Second, evidence that these key subprocesses affect student motivation and achievement is reviewed. Third, the authors describe and discuss how student self-regulated learning can be developed or taught based on their theoretical perspective. This book focuses on the influences of student self-regulated learning practices on academic achievement and motivation.
issued: 2026-05-16T11:10:34.819958
language: en
modified: 2026-05-16T11:10:34.819964
contact point: Organization
  fn: CCSD
keyword: book-sections
keyword: infoeiahcomputer-science-cstechnology-for-human-learning
keyword: infoeu-reposemanticsbookpart
keyword: motivations
keyword: self-regulated-learning
keyword: shseduhumanities-and-social-scienceseducation
keyword: students
landing page: theory, research, and practice

Models of self-regulated learning and academic achievement
type: Distribution
format: HTML
issued: 2026-05-16T11:10:34.910099
modified: 2026-05-16T11:10:34.791828
access URL: https://hal.science/hal-00703019

test_moissonnage_selune
type: Agent