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All Journal Indonesian Journal of Information System Journal of Information Systems and Informatics The Indonesian Journal of Computer Science
Chukwuere, Joshua Ebere
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Today's Academic Research: The Role of ChatGPT Writing Chukwuere, Joshua Ebere
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.639

Abstract

The purpose of this study is to examine the place of ChatGPT writing in the current academic environment. Significant attention has been drawn to the amazing capacity of ChatGPT, a sophisticated language model created by OpenAI, to produce text answers that nearly mimic human speech. The current study examines ChatGPT's effects on a number of academic areas, including writing support, data analysis, literature reviews, and scientific cooperation. The paper looks at the benefits and drawbacks of using ChatGPT in academic research and offers some insight into prospective uses for this technology in the future. To efficiently respond to the research questions and accomplish the stated goals, the present study used a quick review of the literature technique. The study has discovered several ChatGPT uses in academic writing, including data gathering, teamwork, implications, and restrictions. The study also looked at how to prevent plagiarism in written work produced using ChatGPT. In conclusion, if ChatGPT is used wisely and responsibly, it has the potential to dramatically enhance and revolutionize academic research, enabling multidisciplinary cooperation.
A Systematic Literature Review on Machine Learning Algorithms for the Detection of Social Media Fake News in Africa Chukwuere, Joshua Ebere; Montshiwa, Tlhalitshi Volition
Journal of Information System and Informatics Vol 7 No 2 (2025): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i2.1103

Abstract

Fake news has been around in history before social media emerged. Social media platforms enable the creation, processing, and sharing of various kinds of content and information on the Internet. While the mediums of information and content shared across social media platforms are hard for users to authenticate, if users are tracking fake information or fake content, it can harm individuals, society, or the world. Fake news is increasingly becoming a worrisome issue, especially in Africa, because it's difficult to identify and stop the distribution of fake news. Due to languages and diversity, it is difficult for humans to understand and subsequently identify fake news on social media platforms, so high-level technological strategies, such as machine learning (ML), would be able to tell if the content is false material. As such, this study sought to identify effective ML classifiers to detect fake news on social media platforms, and the systematic literature review followed the PRISMA standard. The study identified 14 effective ML classifiers to manage fake news on social media platforms, including Random Forest, Naive Bayes, and others. Four research questions guided the study focused on the effectiveness of the classifiers, their applicability for detecting different forms of false news, the features of the dataset size and features, and the metrics that were created to assess the metrics. A conceptual framework known as the Information Behavioral Driven Social Cognitive Model (IBDSCM) was proposed in a bid to affect the fake news detection on social media platforms. Overall, this study establishes a contribution to understanding the ML algorithms for detecting false news in Africa and allows for a conceptual base for future studies.
Investigating the challenges, benefits, and applications of digital health in South Africa: A PRISMA process Kgashwane, Tshenolo Eunice; Chukwuere, Joshua Ebere
Indonesian Journal of Information Systems Vol. 8 No. 1 (2025): August 2025
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v8i1.11353

Abstract

Digital health technologies have the ability to enhance the quality of healthcare. The usage of digital technologies (digital gadgets and their related apps, platforms, and websites) has led to numerous claims in public health and medical research about an impending breakthrough in the health sector, preventative medicine, and public health. Nevertheless, it is crucial to take a more cynical stance when evaluating the effects and consequences of digital health. Moreover, digital health adoption in developing and developed countries has disclosed several advantages, challenges, and applications. Thus, this study aimed to investigate the challenges, benefits, and applications of digital health in South Africa. The methodology utilized in this study was a qualitative systematic review through the PRISMA process and made use of documents such as accredited academic journals, articles, and books to gather data. This study used a sequential sampling method, and data were collected until saturation was reached. For purposes of data analysis, the study used thematic analysis to discover themes from the gathered data. The findings of this study revealed barriers that impede digital health adoption in South Africa. These barriers include technical, supportive policies, skilled manpower, and many more. Furthermore, work is needed to explore how the adoption of digital health technologies will affect the work of individuals. It is recommended that end users be trained on how to use digital health systems and many other things.
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.
Co-Authors Kgashwane, Tshenolo Eunice Montshiwa, Tlhalitshi Volition