Understanding user perception toward artificial intelligence (AI) enabled e-learning
Abstract
Purpose The purpose of this study is to explore the perception of the users concerning the role of artificial intelligence (AI) in enhancing personal learning profile (PLP), personal learning network (PLN) and personal learning environment (PLE) and their effect on the perceived ease of use, perceived effectiveness and perceived usefulness for enhancing the overall attitude and satisfaction of the e-learning. Design/methodology/approach The data were collected from students and professionals who have ever used the e-learning module, and smart partial least square-structural equational modeling (PLS-SEM) is used to see relations between the different variables. Findings It was seen that the PLE is affecting both perceived ease of use and perceived usefulness. The research has shown that perceived ease of use showed a mediating effect between PLE and attitude and satisfaction. Further satisfaction mediates between perceived ease of use and intention. PLP has come out to significantly impacting perceived effectiveness. The multigroup analysis also showed that the attitude and satisfaction level affecting intention to use the e-learning module differ across the two groups of learners, i.e. gender and type of learners. Research limitations/implications The data are collected from students and professionals who have ever used the e-learning module and wholly based on their perceptions, leading to self-perception bias. Originality/value The current research is trying to integrate th…
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AI-based platforms can provide personalised learning experiences that help workers acquire and refine digital skills.
“In addition, AI -based platforms can provide personalised learning experiences that help workers acquire and refine digital skills (Kashive et al., 2020).”
From The Impact of Artificial Intelligence on Workers' Skills: Upskilling and Reskilling in Organisations (2023) · cites this paper as Kashive et al., 2020
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The Impact of Artificial Intelligence on Workers' Skills: Upskilling and Reskilling in Organisations
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“In addition, AI - based platforms can provide personalised learning experiences that help workers acquire and refine digital skills (Kashive et al., 2020).”
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- Authors
- Kashive, N., Powale, L., & Kashive, K.
- ORCID
- Kashive, Neerja
- Venue
- The International Journal of Information and Learning Technology
- Publisher
- Emerald
- Published
- 2020-12-14
- Volume
- 38
- Issue
- 1
- Pages
- 1-19
- ISSN
- 2056-4880 (ISSN-L)
- OpenAlex
- W3111542522
- Cited by
- 181
- References
- 13
- Citations by year
- 2026: 31 · 2025: 52 · 2024: 55 · 2023: 23 · 2022: 13 · 2021: 7
- FWCI
- 10.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Information and Learning Technology (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Education › Online and Blended Learning
- Keywords
- personal learning environments, personal learning networks, technology acceptance model, perceived ease of use, perceived usefulness, perceived effectiveness, user attitudes, user satisfaction, intention to use, gender differences
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