Exploring University Students’ Adoption of ChatGPT Using the Diffusion of Innovation Theory and Sentiment Analysis With Gender Dimension

Raghu Raman, Santanu Mandal, Payel Das, Tavleen Kaur, J. P. Sanjanasri, Prema Nedungadi · 2024 · Human Behavior and Emerging Technologies

Summary. This study examines how university students adopt ChatGPT using diffusion of innovation theory and sentiment analysis. Five innovation attributes—relative advantage, compatibility, ease of use, observability, and trialability—significantly influence student adoption. Gen Z students view ChatGPT as innovative and user-friendly for independent learning. Gender differences emerge: male students prioritize compatibility and observability, while female students emphasize ease of use and trialability. The findings highlight the need for demographic-sensitive design in AI technologies for educational contexts.

Read the original

@article{raman-2024-exploring-university-students-adoption-chatgpt,
  title   = {Exploring University Students’ Adoption of ChatGPT Using the Diffusion of Innovation Theory and Sentiment Analysis With Gender Dimension},
  author  = {Raghu Raman and Santanu Mandal and Payel Das and Tavleen Kaur and J. P. Sanjanasri and Prema Nedungadi},
  journal = {Human Behavior and Emerging Technologies},
  year    = {2024},
  doi     = {10.1155/2024/3085910},
  url     = {https://doi.org/10.1155/2024/3085910}
}

TY  - JOUR
TI  - Exploring University Students’ Adoption of ChatGPT Using the Diffusion of Innovation Theory and Sentiment Analysis With Gender Dimension
AU  - Raghu Raman
AU  - Santanu Mandal
AU  - Payel Das
AU  - Tavleen Kaur
AU  - J. P. Sanjanasri
AU  - Prema Nedungadi
JO  - Human Behavior and Emerging Technologies
PY  - 2024
DO  - 10.1155/2024/3085910
UR  - https://doi.org/10.1155/2024/3085910
ER  - 

Details

DOI

10.1155/2024/3085910

Countries

India, Sweden

Regions

Asia, Europe

Categories

education, innovation-theory, general-innovation

Added

2026-04-28