Cited by 93Technology Adoption and User BehaviourAI in Service InteractionsArtificial Intelligence in Education

The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

Adoption of Chatbots for Learning among University Students: Role of Perceived Convenience and Enhanced Performance

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Malik, Reena, Shrama, Ambuj, Trivedi, Sonal, Mishra, Rikkee·2021·International Journal of Emerging Technologies in Learning (iJET)

Abstract

With the advent of internet and exponentially growing smartphone market, chatbots are becoming popular and are being widely used for interactions in varied fields. This study investigated the usage of chatbots for educational/learning purpose by university students. Wide research has been done exploring usage of chatbots in service industry; still there is vacuum regarding usage of chatbots in education for effective learning. Using path analysis, the study demonstrates validation of two newly added constructs as an extension in Technology Adoption Model and tries to understand the antecedents for intension to adopt chatbots. This study is of utmost importance to researchers, policy makers, system designers for e- learning platforms, teachers, and students in order to make learning effective.

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Research works printed but not linked: 4

  1. Sandu, R. (2017). A Study to Analyze Economic Benefits of Cloud-Based Open Source Learning for Australian Higher Education Sector. 1 st International Conference on Business Research and Ethics (ICSBE): 9-12.
  2. Fishbein, M., & Ajzen, I. (1975). Beliefs, attitude, intention, and behavior: An introduction to theory and research. M. A.:Addison-Wesley.
  3. Yang, H.-D., Kang, S., Oh, W., & Kim, M. S. (2011). Are all fits created equal? A nonlin- ear perspective on task-technology fit. Journal of the Association for Information Systems, 14(12): 694-721, https://doi.org/10.17705/1jais.00349 · DOI
  4. Tan, G. W. H., Lee, V. H., Lin, B., & Ooi, K. B. (2017). Mobile applications in tourism: The future of the tourism industry? Industrial Management & Data Systems, 117(3): 560- 581. https://doi.org/10.1108/IMDS-12-2015-0490 · DOI

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Metadata

Authors
Malik, R., Shrama, A., Trivedi, S., & Mishra, R.
Affiliations
Chitkara University (IN)
Venue
International Journal of Emerging Technologies in Learning (iJET)
Published
2021-09-20
Volume
16
Issue
18
Pages
200
ISSN
1863-0383 (ISSN-L)
OpenAlex
W3200507152
Cited by
93
References
63
Citations by year
2026: 14 · 2025: 21 · 2024: 29 · 2023: 20 · 2022: 8
FWCI
12.17
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • International Journal of Emerging Technologies in Learning (iJET) (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
  • Social Sciences › Education › Artificial Intelligence in Education
Keywords
chatbots, technology adoption, university students, perceived convenience, learning performance, technology acceptance model, online learning, adoption intention, educational technology

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