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Artificial Intelligence for Development (AI4D) Usage, Learner Autonomy, Wellbeing and Digital Literacy in ODL

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Název: Artificial Intelligence for Development (AI4D) Usage, Learner Autonomy, Wellbeing and Digital Literacy in ODL
Autoři: Tanuja Khan, Amit Kumar Nag, Shibani Basu, Vineeta Saluja
Zdroj: Journal of Learning for Development, Vol 12, Iss 2 (2025)
Informace o vydavateli: Commonwealth of Learning, 2025.
Rok vydání: 2025
Témata: well-being, learner autonomy, Artificial Intelligence for Development (AI4D), digital literacy, Theory and practice of education, Open and Distance Learning (ODL), LB5-3640
Popis: The present study examined the relationships between Artificial Intelligence for Development (AI4D) usage, instructor attitude towards technology, learners' characteristics/wellbeing, and learning outcomes in Open and Distance Learning (ODL) environments in India. A quantitative research design was employed using purposive sampling (a non-probability sampling method) to ensure that participants had relevant experience with ODL platforms. Data were collected from 410 students at Bhopal School of Social Sciences (BSSS), Bhopal, who had completed at least one certificate or diploma course offered through SWAYAM, a government-supported Massive Open Online Course (MOOC) platform widely recognised as India’s flagship ODL initiative. A self-reporting questionnaire was employed to gather data digitally, ensuring convenience and reach. In this study, AI4D usage refers to interaction with AI-enabled features on the SWAYAM platform, such as personalised recommendations, adaptive content delivery, automated feedback, and progress tracking tools. The findings of the study provided insights into the extent to which AI4D usage influences learning outcomes, the role of instructor attitude in shaping the effectiveness of AI4D, and the moderating effects of learner characteristics on this relationship. This study contributes to a deeper understanding of the role of AI4D in facilitating effective teaching and learning in ODL environments and offers implications for educational practice, policy formulation, and future research in the Indian context.
Druh dokumentu: Article
ISSN: 2311-1550
DOI: 10.56059/jl4d.v12i2.1580
Přístupová URL adresa: https://doaj.org/article/6c2898283fa04f10a18eca0577acb6c1
Rights: CC BY SA
Přístupové číslo: edsair.doi.dedup.....7f2da2835527ba053afe590b8ca241c8
Databáze: OpenAIRE
Popis
Abstrakt:The present study examined the relationships between Artificial Intelligence for Development (AI4D) usage, instructor attitude towards technology, learners' characteristics/wellbeing, and learning outcomes in Open and Distance Learning (ODL) environments in India. A quantitative research design was employed using purposive sampling (a non-probability sampling method) to ensure that participants had relevant experience with ODL platforms. Data were collected from 410 students at Bhopal School of Social Sciences (BSSS), Bhopal, who had completed at least one certificate or diploma course offered through SWAYAM, a government-supported Massive Open Online Course (MOOC) platform widely recognised as India’s flagship ODL initiative. A self-reporting questionnaire was employed to gather data digitally, ensuring convenience and reach. In this study, AI4D usage refers to interaction with AI-enabled features on the SWAYAM platform, such as personalised recommendations, adaptive content delivery, automated feedback, and progress tracking tools. The findings of the study provided insights into the extent to which AI4D usage influences learning outcomes, the role of instructor attitude in shaping the effectiveness of AI4D, and the moderating effects of learner characteristics on this relationship. This study contributes to a deeper understanding of the role of AI4D in facilitating effective teaching and learning in ODL environments and offers implications for educational practice, policy formulation, and future research in the Indian context.
ISSN:23111550
DOI:10.56059/jl4d.v12i2.1580