Guided Self-Regulated Learning via LLMs

Iyadunni J. Adenuga; Md Jonayed Hossain Chowdhury

doi:10.1007/978-3-032-30781-1_1

Guided Self-Regulated Learning via LLMs

Iyadunni J. Adenuga
, Md Jonayed Hossain Chowdhury

Computer Information Systems

Kean University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Current designs of AI-infused systems do not cater to the steps required for learning to occur. Due to their conversational interaction type, students readily use them for learning activities, and they have increased confidence after use, but this does not translate to performance. We created an LLM-powered system called Study Assist with self-regulated learning principles by including features for forethought, planning, goal setting, and self-reflection. We evaluated this system with 55 participants recruited from Prolific. Even though the process was cognitively demanding, we recorded high usability scores.

Original language	English
Title of host publication	Learning and Collaboration Technologies - 13th International Conference, LCT 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Proceedings
Editors	Brian K. Smith, Marcela Borge
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	3-23
Number of pages	21
ISBN (Print)	9783032307804
DOIs	https://doi.org/10.1007/978-3-032-30781-1_1
State	Published - 2026
Event	13th International Conference on Learning and Collaboration Technologies, LCT 2026, held as part of the 28th HCI International Conference, HCII 2026 - Montreal, Canada Duration: 26 Jul 2026 → 31 Jul 2026

Publication series

Name	Lecture Notes in Computer Science
Volume	16732 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Learning and Collaboration Technologies, LCT 2026, held as part of the 28th HCI International Conference, HCII 2026
Country/Territory	Canada
City	Montreal
Period	26/07/26 → 31/07/26

Keywords

Active Learning
Human Agency
Human-centered AI
LLMs
Self-Regulated Learning

Access to Document

10.1007/978-3-032-30781-1_1

Cite this

Adenuga, I. J., & Chowdhury, M. J. H. (2026). Guided Self-Regulated Learning via LLMs. In B. K. Smith, & M. Borge (Eds.), Learning and Collaboration Technologies - 13th International Conference, LCT 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Proceedings (pp. 3-23). (Lecture Notes in Computer Science; Vol. 16732 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-30781-1_1

Adenuga, Iyadunni J. ; Chowdhury, Md Jonayed Hossain. / Guided Self-Regulated Learning via LLMs. Learning and Collaboration Technologies - 13th International Conference, LCT 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Proceedings. editor / Brian K. Smith ; Marcela Borge. Springer Science and Business Media Deutschland GmbH, 2026. pp. 3-23 (Lecture Notes in Computer Science).

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abstract = "Current designs of AI-infused systems do not cater to the steps required for learning to occur. Due to their conversational interaction type, students readily use them for learning activities, and they have increased confidence after use, but this does not translate to performance. We created an LLM-powered system called Study Assist with self-regulated learning principles by including features for forethought, planning, goal setting, and self-reflection. We evaluated this system with 55 participants recruited from Prolific. Even though the process was cognitively demanding, we recorded high usability scores.",

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Adenuga, IJ & Chowdhury, MJH 2026, Guided Self-Regulated Learning via LLMs. in BK Smith & M Borge (eds), Learning and Collaboration Technologies - 13th International Conference, LCT 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Proceedings. Lecture Notes in Computer Science, vol. 16732 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 3-23, 13th International Conference on Learning and Collaboration Technologies, LCT 2026, held as part of the 28th HCI International Conference, HCII 2026, Montreal, Canada, 26/07/26. https://doi.org/10.1007/978-3-032-30781-1_1

Guided Self-Regulated Learning via LLMs. / Adenuga, Iyadunni J.; Chowdhury, Md Jonayed Hossain.
Learning and Collaboration Technologies - 13th International Conference, LCT 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Proceedings. ed. / Brian K. Smith; Marcela Borge. Springer Science and Business Media Deutschland GmbH, 2026. p. 3-23 (Lecture Notes in Computer Science; Vol. 16732 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Current designs of AI-infused systems do not cater to the steps required for learning to occur. Due to their conversational interaction type, students readily use them for learning activities, and they have increased confidence after use, but this does not translate to performance. We created an LLM-powered system called Study Assist with self-regulated learning principles by including features for forethought, planning, goal setting, and self-reflection. We evaluated this system with 55 participants recruited from Prolific. Even though the process was cognitively demanding, we recorded high usability scores.

KW - Active Learning

KW - Human Agency

KW - Human-centered AI

KW - LLMs

KW - Self-Regulated Learning

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Adenuga IJ, Chowdhury MJH. Guided Self-Regulated Learning via LLMs. In Smith BK, Borge M, editors, Learning and Collaboration Technologies - 13th International Conference, LCT 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Proceedings. Springer Science and Business Media Deutschland GmbH. 2026. p. 3-23. (Lecture Notes in Computer Science). doi: 10.1007/978-3-032-30781-1_1