Cited by 1,343Innovative Teaching and Learning MethodsEducational Strategies and EpistemologiesEducation, Achievement, and Giftedness

Classroom Applications of Research on Self-Regulated Learning

Paris, Scott G., Paris, Alison H.·2001·Educational Psychologist

Abstract

This article describes how self-regulated learning (SRL) has become a popular topic in research in educational psychology and how the research has been translated into classroom practices. Research during the past 30 years on students' learning and achievement has progressively included emphases on cognitive strategies, metacognition, motivation, task engagement, and social supports in classrooms. SRL emerged as a construct that encompassed these various aspects of academic learning and provided more holistic views of the skills, knowledge, and motivation that students acquire. The complexity of SRL has been appealing to educational researchers who seek to provide effective interventions in schools that benefit teachers and students directly. Examples of SRL in classrooms are provided for three areas of research: strategies for reading and writing, cognitive engagement in tasks, and self-assessment. The pedagogical principles and underlying research are discussed for each area. Whether SRL is viewed as a set of skills that can be taught explicitly or as developmental processes of self-regulation that emerge from experience, teachers can provide information and opportunities to students of all ages that will help them become strategic, motivated, and independent learners.

Integrity signals

Registry

Crossref · 10.1207/s15326985ep3602_4

Cites

79 of 79 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Self-assessment involves all three areas of self-regulated learning: cognitive, motivational, and affective.

    “According to Paris and Paris (2001), self-assessment involves all three areas of self-regulated learning: cognitive, motivational, and affective.”

    From Effectiveness of L2 instruction: A research synthesis and quantitative meta-analysis (2000) · cites this paper as Paris and Paris (2001)

  • A combined hybrid training approach is presumably the most effective way to promote metacognitive knowledge and skills at school.

    “Therefore, a combined hybrid training approach is presumably the most effective way to promote metacognitive knowledge and skills at school (e.g., Paris and Paris 2001).”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Paris, S. G., & Paris, A. H.
Affiliations
University of Michigan (US)
Venue
Educational Psychologist
Published
2001-06
Volume
36
Issue
2
Pages
89-101
ISSN
  • 0046-1520 (ISSN-L)
  • 1532-6985
OpenAlex
W2052870110
Cited by
1,343
References
79
Citations by year
2026: 33 · 2025: 44 · 2024: 61 · 2023: 70 · 2022: 74 · 2021: 75 · 2020: 100 · 2019: 71 · 2018: 68 · 2017: 98 · 2016: 77 · 2015: 77 · 2014: 74 · 2013: 83 · 2012: 65
FWCI
22.96
Type
journal article
Language
en
Open access
closed
Locations
Educational Psychologist (publishedVersion)
Topics
  • Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
  • Social Sciences › Psychology › Developmental and Educational Psychology › Educational Strategies and Epistemologies
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Education, Achievement, and Giftedness
Keywords
student self-regulation, teaching practice, metacognition, cognitive strategies, motivation, task engagement, social support, reading instruction, writing instruction, self-assessment, self-directed learning, teaching principles

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review