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Exploring factors affecting tertiary students’ stickiness with Edu-Tech GPT

Students & Supervisors

Student Authors
Lagina Mona
Bachelor of Business Administration, FBA
Golam Mustafa Md. Nurullah Rabbani
Master of Business Administration, FBA
Supervisors
Mehzabul Hoque Nahid
Senior Assistant Professor, Department Head, FBA
Dr. Md. Aftab Anwar
Associate Professor, Department Head, FBA

Abstract

Students from Generation Z receive individualized help through brainstorming and suggestions, as well as access to quality knowledge through Edu-Tech GPT. This study investigates the factors that contribute to the engagement and adherence of tertiary students with these tools, particularly focusing on the use of explainable AI in academic research among digitally divided nations. A conceptual framework with four reflective dimensions derived from literature on adapted Diffusion of Innovation theories and verified through focus group discussions. Initially, this research conducted a focus group interview of 141 Generation Z students from 10 different universities from Bangladesh who regularly use web-based Edu-Tech GPT services for their research projects. The process was able to extract four study dimensions after that conduct a survey with 26 items using purposing sampling technique. The data has been processed using Smart-PLS 4 for hypothesis testing. The results demonstrated that hedonic motivation, perceived utility, and usability have the most impact on students' engagement with Edu-Tech GPT services. This unique research empirically examines the impact of AI-powered technologies on Edu-Tech innovation and also proposed a value proposition framework for academician and practitioners.

Keywords

Edu-Tech GPT Explainable AI Diffusion of Innovation theory Usability Perceived usefulness

Publication Details

  • DOI: Done with Presentation, After publication we will get DOI
  • Type of Publication: Conference
  • Conference Name: IEEE CONFERENCE ON COMPUTING APPLICATIONS AND SYSTEMS (COMPAS 2024)
  • Date of Conference: 25/09/2024 - 26/09/2024
  • Venue: CUET IT Business Incubator, Chattogram, Bangladesh
  • Organizer: IEEE, CUET
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