Author ORCID Identifier
Avant Kumar: https://orcid.org/0000-0002-0002-3347
Sowmya Kini: https://orcid.org/0009-0001-9244-9328
Ashutosh: https://orcid.org/0009-0002-2720-4532
Abstract
The adoption of Generative Artificial Intelligence (GenAI) by students has rapidly increased, shifting the focus from initial exploratory use to post-adoption issues. Existing research has primarily investigated GenAI post-adoption from a “device” perspective, examining both the positive and concerning aspects of post-adoption use in learning and education. While informative, this perspective offers limited insight into the GenAI use routines and the associated adaptation behaviors through which GenAI becomes embedded in everyday learning practices following initial ambivalent experiences of use. To address this limitation, this paper examines GenAI enactment in learning routines and the associated adaptation behaviors underlying routine construction. Drawing on a grounded theory methodology from an interpretivist standpoint, this paper develops a grounded framework for the enactment of GenAI use in learning routine. It identifies GenAI routine constitution as inherently dialectical and outlines six adaptation behaviors, namely sequential augmentation, triangulation, prefiguration, prompt engineering practice, rationalization, and reframing, through which students manage the perceived positive and negative consequences of GenAI in post-adoption routine use. This paper theoretically advances the Coping Model of User Adaptation. It offers important managerial implications for implementing structural adjustments, and for developing pedagogical strategies and policies.
Recommended Citation
Kumar, A., Kini, S., & Ashutosh, A. (In press). Generative Artificial Intelligence Use in Learning Routines: Adaptation Behaviors and Dialectical Routine. Communications of the Association for Information Systems, 58, pp-pp. Retrieved from https://aisel.aisnet.org/cais/vol58/iss1/93
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