Investigating factors of students' behavioral intentions to adopt chatbot technologies in higher education: Perspective from expanded diffusion theory of innovation

Musa Adekunle Ayanwale, Mdutshekelwa Ndlovu · 2024 · Computers in Human Behavior Reports

Summary. This study examines what drives undergraduate students to adopt chatbots for learning. Using diffusion of innovation theory, researchers surveyed 842 students and found that perceived benefits, compatibility with student needs, and opportunities to try chatbots all increase adoption intention. Trust in the technology also matters. Surprisingly, ease of use did not directly influence adoption, suggesting other factors shape students' decisions to use AI tools in education.

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@article{ayanwale-2024-investigating-factors-students-behavioral-intentions,
  title   = {Investigating factors of students' behavioral intentions to adopt chatbot technologies in higher education: Perspective from expanded diffusion theory of innovation},
  author  = {Musa Adekunle Ayanwale and Mdutshekelwa Ndlovu},
  journal = {Computers in Human Behavior Reports},
  year    = {2024},
  doi     = {10.1016/j.chbr.2024.100396},
  url     = {https://doi.org/10.1016/j.chbr.2024.100396}
}

TY  - JOUR
TI  - Investigating factors of students' behavioral intentions to adopt chatbot technologies in higher education: Perspective from expanded diffusion theory of innovation
AU  - Musa Adekunle Ayanwale
AU  - Mdutshekelwa Ndlovu
JO  - Computers in Human Behavior Reports
PY  - 2024
DO  - 10.1016/j.chbr.2024.100396
UR  - https://doi.org/10.1016/j.chbr.2024.100396
ER  - 

Details

DOI

10.1016/j.chbr.2024.100396

Countries

South Africa

Regions

Africa

Categories

education, innovation-theory, general-innovation

Added

2026-04-28