Cited by 43Innovative Teaching and Learning MethodsIntelligent Tutoring Systems and Adaptive LearningEducational Strategies and Epistemologies

Dysregulated Learning with Advanced Learning Technologies

Open access
Azevedo, Roger, Feyzi-Behnagh, Reza·2011·Journal of e-Learning and Knowledge Society

Abstract

Successful learning with advanced learning technologies is based on the premise that learners adaptively regulate their cognitive and metacognitive behaviors during learning. However, there is abundant empirical evidence that suggests that learners typically do not adaptively modify their behavior, thus suggesting that they engage in what is called dysregulated behavior. Dysregulated learning is a new term that is used to describe a class of behaviors that learners use that lead to minimal learning. Examples of dysregulated learning include failures to: (1) encode contextual demands, (2) deploy effective learning strategies, (3) modify and update internal standards, (4) deal with the dynamic nature of the task, (5) metacognitively monitor the use of strategies and make accurate metacognitive judgments, and (6) intelligently adapt behavior during learning so as to maximize learning and understanding of the instructional material. Understanding behaviors associated with dysregulated learning is critical since it has implications for determining what they are, when they occur, how often they occur, and how they can be corrected during learning.

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DataCite · 10.20368/1971-8829/517

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  • Learners often struggle with effective learning regulation, particularly in digital settings, leading to missing learning outcome effects.

    “learners have been found to often struggle with effective learning regulation, particularly in digital settings, leading to missing learning outcome effects (e.g., Azevedo & Feyzi-Behnagh, 2011;Lim et al., 2021).”

    From How do students regulate their learning with a genAI chatbot? (2026) · cites this paper as Azevedo & Feyzi-Behnagh, 2011

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Authors
Azevedo, R., & Feyzi-Behnagh, R.
Affiliations
McGill University (CA)
Venue
Journal of e-Learning and Knowledge Society
Publisher
Journal of e-Learning and Knowledge Society
Published
2011-05-31
Volume
7
Issue
2
Pages
9-18
OpenAlex
W2133210753
Cited by
43
References
1
Citations by year
2025: 2 · 2024: 5 · 2023: 1 · 2022: 2 · 2021: 8 · 2020: 1 · 2019: 3 · 2018: 1 · 2017: 3 · 2016: 3 · 2015: 3 · 2014: 2 · 2013: 2 · 2012: 6
FWCI
7.14
Type
journal article
Language
en
Open access
Locations
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Società Italiana di e-Learning
  • JE-LKS. Journal of E-Learning and Knowledge Society (cc-by)
Topics
  • Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Social Sciences › Psychology › Developmental and Educational Psychology › Educational Strategies and Epistemologies
Keywords
metacognition, metacognitive monitoring, metacognitive judgments, learning strategies, contextual demands, educational technology

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