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Communications of the Association for Information Systems

Author ORCID Identifier

Pramod Kumar Patnaik: https://orcid.org/0009-0007-4728-9015

Kunal Rao: https://orcid.org/0000-0002-0176-9378

Gaurav Dixit: https://orcid.org/0000-0001-9251-5818

Abstract

Generative AI (GenAI) artefacts might transform education for marginalized rural communities in developing countries, facing formidable challenges and a persistent digital divide. In this research, we conduct a mixed-method study, where first, we employ in-depth interviews of marginalized rural communities from the mountain and plain areas to understand enablers of GenAI artefacts usage in rural educational settings. Then, we employ the decision-making method, i.e., Grey DEMATEL, to find the causal linkages among enablers. Drawing on a socio-technical theoretical lens, our study explains the enablers responsible for facilitating GenAI artefact usage. One key finding of our study is that among the top five enablers, it is the “policy initiatives at the government level” that drive the other four enablers: “GenAI training for rural teachers and students,” “GenAI awareness among rural communities,” “GenAI training programs for rural families,” and “leadership commitment at school level.” In addition, we developed an empirical framework to illustrate the most influential relationships among the enablers. Our novel research advances the understanding of socio-technical theory and contributes to the IS literature by uncovering the enablers of GenAI artefacts. Our study also offers practical implications for relevant stakeholders to leverage the potential of GenAI artefacts in supporting rural education.

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