WORLD JOURNAL OF INNOVATION AND MODERN TECHNOLOGY (WJIMT )
E-ISSN 2504-4766
P-ISSN 2682-5910
VOL. 8 NO. 5 2024
DOI: 10.56201/wjimt.v8.no5.2024.pg197.213
Williams Kennedy George; Ntiedo Asuabanga Udom; Eno Obot Jackson, PhD
This study examined the integration of diffusion innovation theory in Technical Vocational Education and Training (TVET) for improving students’ adoption of Artificial Intelligence chatbots in Federal universities in South East geopolitical zone, Nigeria. Three research questions, three hypotheses and descriptive survey research design was used to guide the study. The population of the study was one hundred and eighty-nine (189) final year TVET students which consisted of 86 and 103 students in MOUAU and UNN respectively. A sample size of ninety-seven (97) students comprising of 46 and 51 students in Michael Okpara University of Agriculture, Umudike (MOUAU) and University of Nigeria, Nsukka (UNN) respectively were randomly selected for the study. A 30-item questionnaire consisting of four sections and 5- point rating scale used for data collection was faced validated by three experts. Cronbach alpha statistics was used to determine the reliability coefficient of the instrument which yielded overall reliability index of .76 comprising of .75, .73 and .81 for Section B, C and D respectively indicating that the instrument was reliable. The research questions were answered using Mean and Standard Deviation while independent t- test was used to test the hypotheses at .05 level of significance. The findings of the study showed that compatibility, trialability and relative advantage have very high influence on TVET students' adoption of AI-chatbots for learning in Universities in South-East, Nigeria. The study recommended that universities should organize training programs that emphasize the compatibility, trialability and relative advantage of AI- Chatbots with University goals and values for students. These training programmes should showcase case studies highlighting the benefits of chatbots in education such as improved accessibility to resources, faster response times, and personalized assistance, thus motivating students to ado
Diffusion Innovation Theory, TVET, Students, AI-Chatbots, Nigerian, Universities
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