Chukwuere, Joshua Ebere
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Journal : The Indonesian Journal of Computer Science

Developing a generative AI conceptual framework for higher education Chukwuere, Joshua Ebere
The Indonesian Journal of Computer Science Vol. 14 No. 5 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i5.4997

Abstract

The overall aim of this research is to develop a whole-of-institution framework that supports the use of generative AI chatbots across higher education institutions (HEIs). The Generative AI Chatbots Acceptance Model (GAICAM) was developed from a blend of models that influence acceptance (TAM, UTAUT2, TPB, and more). optimism, innovativeness, discomfort, insecurity, and others; hence, including variables relevant to GAICAM. It is also critical to analyse and identify the implications for higher education of generative AI Chatbots. A research design was employed based on an integrative literature review and an active analysis of numerous studies from diverse databases, including IEEE, ACM, ScienceDirect, and Google Scholar. Part of the goal was to make sense of the implications for higher education created by AI Chatbots, which also necessitated identifying the prominent considerations relevant to implementation challenges and success. The search criteria were limited to peer-reviewed, English-language publications covering the use of AI chatbots in higher education that were published between 2020 and 2023. The findings demonstrate the degree to which AI chatbots have the capacity to drive improved student engagement, enhance the educational process, and support administrative and research tasks. But there are also clear difficulties, such as unfavorable student sentiments, doubts about the veracity of material produced by AI, and unease and nervousness with new technologies.
The Use of ChatGPT in Higher Education: The Advantages and Disadvantages Chukwuere, Joshua Ebere
The Indonesian Journal of Computer Science Vol. 14 No. 5 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Higher education scholars are fascinated by an artificial intelligence (AI) technology, ChatGPT, developed by OpenAI. Debate exists among the experts on whether or not ChatGPT can support learning. This literature review paper sits within the broader scope of measuring ChatGPT within higher education as a means to understand and produce higher-order learning. The purpose of this paper is to examine essential literature with the goal of providing a balanced contribution around the merits and limitations of the use of ChatGPT in higher education contexts. However, it is also important to examine the potential outcomes, both positive and negative. For this rapid review, the researcher searched Google Scholar, Scopus, and others between January 2023 and July 2023 for prior studies from other publications, and these studies were reviewed. This study found that using ChatGPT in higher education is helpful for many reasons. For example, it provides individualized instruction, spontaneous feedback, access to learning opportunities, and student engagement. There may be some benefits to the learning ecosystem and enjoyment for academics and students. The negative aspects of ChatGPT exist, too. The negatives include the inability to decipher emotion, lack of social interaction, technological limitations, and the risk of becoming overly reliant on ChatGPT in higher education. Higher education should blend ChatGPT with other delivery methods to provide a holistic learning experience to students and lecturers. It is a serious consideration to consider the positives, negatives, and ethical issues when applying ChatGPT in the classroom.