Fostering Growth: A Micro-Learning Chatbot for Classroom Research Knowledge Acquisition Among In-Service Teachers

dc.contributor.authorSajjapanroj S.
dc.contributor.authorTarasak P.
dc.contributor.authorLongpradit P.
dc.contributor.correspondenceSajjapanroj S.
dc.contributor.otherMahidol University
dc.date.accessioned2024-05-08T18:23:59Z
dc.date.available2024-05-08T18:23:59Z
dc.date.issued2023-01-01
dc.description.abstractThis research introduces a chatbot employing the micro-learning approach to deliver classroom research and research methodology content to in-service teachers in Thailand. The utilization of micro-learning holds the potential to facilitate ongoing professional learning, although the effectiveness of integrating micro-learning is contingent upon variables such as information chunk size, content organization, and strategies to foster engagement. To address these challenges, Kori-Cabot was designed to incorporate easily digestible content, aggregated features, and proactive push content strategies. The chatbot was trialed with 51 in-service teachers from across the country. Data was collected through a questionnaire and interviews with 25 teachers. The results indicate that cultivating a continuous learning environment for professionals seems to necessitate well-designed user experience to sustain engagement and interaction. Furthermore, strategies aimed at enhancing the learning experience and contributing to the advancement of teacher professional development through the educational chatbot were discussed.
dc.identifier.citationProceedings - 2023 5th International Workshop on Artificial Intelligence and Education, WAIE 2023 (2023) , 7-11
dc.identifier.doi10.1109/WAIE60568.2023.00009
dc.identifier.scopus2-s2.0-85191758717
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/98257
dc.rights.holderSCOPUS
dc.subjectPsychology
dc.subjectComputer Science
dc.subjectSocial Sciences
dc.titleFostering Growth: A Micro-Learning Chatbot for Classroom Research Knowledge Acquisition Among In-Service Teachers
dc.typeConference Paper
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85191758717&origin=inward
oaire.citation.endPage11
oaire.citation.startPage7
oaire.citation.titleProceedings - 2023 5th International Workshop on Artificial Intelligence and Education, WAIE 2023
oairecerif.author.affiliationMahidol University

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