The Impact of Self-Regulated Learning on Achieving Intended Learning Outcomes

dc.contributor.authorHuu P.N.
dc.contributor.authorTangworakitthaworn P.
dc.contributor.authorGilbert L.
dc.contributor.correspondenceHuu P.N.
dc.contributor.otherMahidol University
dc.date.accessioned2026-03-28T18:32:28Z
dc.date.available2026-03-28T18:32:28Z
dc.date.issued2025-01-01
dc.description.abstractThe primary learning objective is to equip learners with the knowledge and necessary skills to achieve the course's intended learning outcomes (ILOs). Previous studies have not comprehensively introduced a methodology for assessing learners' competence by comparing actual learning outcomes with the intended learning outcomes (ILOs). This study presents experimental results that evaluate ILO achievement by comparing actual learning outcomes with the course's ILOs, using adaptable learning paths generated based on Bloom's cognitive taxonomy and Biggs' SOLO structure. The research involved an experimental study with seventy-eight voluntary Bachelor of Science in Information Technology students. Participants accessed learning through the Self-Regulated Learning Management System, a new platform built on the ILO-based Self-Assessment Model. The findings showed that the participants who received regular updates on their ILO achievement were satisfied with the system. Statistically, a one-sample Wilcoxon signed-rank test demonstrated that the median differed significantly from the expected median, z = 7.35, p<0.01, with a strong effect size (r = 0.83).
dc.identifier.citationIcsec 2025 29th International Computer Science and Engineering Conference 2025 (2025) , 159-164
dc.identifier.doi10.1109/ICSEC67360.2025.11298049
dc.identifier.scopus2-s2.0-105032725730
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/115862
dc.rights.holderSCOPUS
dc.subjectComputer Science
dc.subjectDecision Sciences
dc.titleThe Impact of Self-Regulated Learning on Achieving Intended Learning Outcomes
dc.typeConference Paper
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105032725730&origin=inward
oaire.citation.endPage164
oaire.citation.startPage159
oaire.citation.titleIcsec 2025 29th International Computer Science and Engineering Conference 2025
oairecerif.author.affiliationUniversity of Southampton
oairecerif.author.affiliationMahidol University

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