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Integrating technology and self-regulation strategies to enhance learning outcomes

A dual-analysis approach

Bibliographic Data

ID21631413
AuthorsAyesha Sohail (0000-0002-3718-067X, The University of Sydney, corresponding author), Muhammad Yousaf (0000-0002-8094-5551, COMSATS University Islamabad), Muhammad Idrees (0000-0002-9839-3601, Harbin Institute of Technology), Asif Mushtaq (0000-0003-0616-7816, Nord universitet)
Year2026
Volume34
Issue3
Pages1511-1523
Publication date2026-03-16
Open AccessYes
TypeARTICLE
VenueInteractive Learning Environments (JOURNAL)
Journal identifiersISSN: 1049-4820 • E-ISSN: 1744-5191
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10494820.2025.2523401
OpenAlexW4412685101
LanguageEN
References cited32

This study explores the role of technology integration in enhancing self-regulated learning (SRL) and managing cognitive load within education that involves programming content. Through a mixed-methods approach, we examined the impact of AI-enhanced online mentoring platforms, drawing on both performance data and qualitative feedback. Findings indicate that adaptive, technology-supported learning environments foster greater learner autonomy, sustained engagement, and more effective self-monitoring. Students highlighted the benefits of real-time feedback, iterative learning support, and personalized guidance in navigating complex programming tasks. Qualitative insights further revealed the development of metacognitive strategies and motivation linked to AI-driven instructional design. This research underscores the value of aligning educational technology with evidence-based pedagogical practices to support cognitive efficiency and meaningful learning experiences. It offers practical direction for designing scalable, student-centered interventions and calls for further exploration of AI-powered learning tools in diverse programming and computational education contexts.d

Educational technology · Knowledge management · Mathematics education · Computer Science · Innovative Teaching and Learning Methods · Online and Blended Learning · Online Learning and Analytics · Psychology

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Highly citedNo
Open DOIOpen Access
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