Enhancing learning outcomes through self-regulated learning support with an Open Learner Model

Long, Yanjin; Aleven, Vincent

doi:10.1007/s11257-016-9186-6

Cited by 95Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning MethodsOnline Learning and Analytics

Enhancing learning outcomes through self-regulated learning support with an Open Learner Model

Long, Yanjin, Aleven, Vincent·2017·User Modeling and User-Adapted Interaction

DOI 10.1007/s11257-016-9186-6

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AI is interpreted as a mediating resource rather than an autonomous instructional agent.
“Teachers frequently described a perceived shift in their professional roles-from information transmitters to designers and facilitators of learning environments-suggesting that AI is interpreted as a mediating resource rather than an autonomous instructional agent (Zimmerman, 2018;Long & Aleven, 2017).”
From Teachers' Experiences with AI in K–12 Education: Opportunities and Challenges (2026) · cites this paper as Long & Aleven, 2017
Learners can benefit from visual feedback tools, such as student-facing dashboards, which facilitate self-assessment by providing real-time overviews of individual or collaborative learning activities and outcomes.
“Likewise, learners can benefit from visual feedback tools, such as student-facing dashboards, which facilitate students' self-assessment by providing real-time overviews of individual or collaborative learning activities and outcomes (Breideband et al., 2023;Jivet et al., 2017;Long & Aleven, 2017).”
From Looking Beyond the Hype: Understanding the Effects of AI on Learning (2025) · cites this paper as Long & Aleven, 2017

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Authors: Long, Y., & Aleven, V.
Affiliations: University of Pittsburgh (US)
Carnegie Mellon University (US)
Corresponding author: Long, Yanjin
ORCID: Aleven, Vincent
Venue: User Modeling and User-Adapted Interaction
Publisher: Springer Science and Business Media LLC
Published: 2016-12-31
Volume: 27
Issue: 1
Pages: 55-88
ISSN: 0924-1868 (ISSN-L)
1573-1391
DOI: 10.1007/s11257-016-9186-6
OpenAlex: W2567228826
Cited by: 95
References: 83
Citations by year: 2026: 10 · 2025: 10 · 2024: 7 · 2023: 12 · 2022: 10 · 2021: 11 · 2020: 11 · 2019: 9 · 2018: 8 · 2017: 6 · 2016: 1
FWCI: 6.59
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (unspecified)
Locations: User Modeling and User-Adapted Interaction (publishedVersion)
Funders: National Science Foundation
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
Keywords: open learner models, student self-regulation, intelligent tutoring systems, equation solving, self-assessment, shared control, problem selection, scaffolding, learning outcomes, junior high school students, joyful learning

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