By: Phattanaviroj Thanaporn, Business Administration Department, Asia University, Taiwan. Email: tp.fern@gmail.com
Abstract
The purpose of this article is to investigate why researchers and academics use artificial intelligence language models such as ChatGPT for their work. It was discovered that time-saving features, electronic word-of-mouth, academic self-efficacy, self-esteem, and perceived stress positively influenced usage, and that academic integrity plays a major part in adoption behavior. However, consumption is adversely affected by academic honesty and pressure. The report recommends that stakeholders work together to develop standards for the moral application of AI chatbots in research and academic writing.
Introduction
ChatGPT, a language model launched by OpenAI in November 2022, uses conversational chatbots to generate human-like texts for various tasks. With nearly 100 million users and 1.8 billion monthly website visitors, it is the fastest-growing user application in internet history. Chat GPT, a revolutionary platform in academia, has the potential to help scientists generate ideas and automate repetitive tasks. However, it also raises concerns about plagiarism and academic dishonest. Experts suggest universities should train faculty, researchers, and students on proper use of ChatGPT and AI platforms [1].
The factor influences ChatGPT usage among researcher
It uses Social Cognitive Theory to understand personal, behavioral, and environmental aspects that can stimulate technology adoption. Answer questions about societal influence, educational self-esteem, self-assurance, the internet-based World efficient features, and anxiety, including how academic integrity modifies these interactions [2].
Societal influence
The social psychology perspective highlights the role of Societal influence in determining behavior, with the theory of conflict elaboration suggesting that individual decisions towards new product innovation are significantly influenced by social groups. Social’ influence can be categorized into compliance, internalization, and identification [3].
Educational self-esteem
Self-esteem creates optimistic self-belief, which is crucial for successful task completion and positive outcomes. Strong self-esteem can boost acceptance of systems, such as e-learning acceptance. Self-esteem has implications for ChatGPT use in academia, as it reduces job anxiety and promotes a positive attitude towards academic quality [4].
Self-assurance
Refers to an individual’s confidence in their ability to perform tasks. In academia, academic self-assurance is often associated with motivation, accomplishment, emotion, cognition, and self-regulation. AI-powered platforms have the potential to transform academic settings, boost educational self-esteem, reduce teaching and learning workloads, and facilitate classroom innovation by streamlining grading, monitoring plagiarism, supervision, and feedback [5].
The internet-based World efficient features
The internet-based World is characterized by its scalability, diffusion speed, persistency, accessibility, measurability, and quantifiability. It influences behavior towards technology uptake and can influence trust, attitude, risk perception, e-satisfaction, perceived usefulness, and intention to use. However, the type of products and diagnostic of the internet-based World efficient features in academia have not been thoroughly examined [6].
Anxiety
Anxiety is a persistent feeling of tension or pressure, especially in the e-learning environment. The sudden shift to online education during COVID-19 has increased the stress levels. Despite positive perceptions of technology and ChatGPT, a systematic review found weak evidence suggesting chatbots can help manage depression, stress, distress, and acrophobia. However, it did not significantly affect subjective psychological well-being. The study suggests ChatGPT has potential to improve perceived stress [7].
Academic integrity modifies
Academic integrity is crucial for conducting academic work with fairness and coherence. The use of AI in education offers benefits like engagement, collaboration, assessment, and accessibility. However, it also raises concerns about academic dishonesty and plagiarism, which violate educational integrity principles [8].
Ethical Considerations
The integration of Artificial Intelligence (AI) in educational settings raises various ethical implications that necessitate thorough consideration. With the increasing prevalence of AI technologies in education, there is a growing emphasis on addressing the ethical aspects associated with their implementation. For instance, initiatives like the German AI/ML learning package implemented in schools underscore the importance of considering ethical and societal aspects, including scenario work to anticipate the future impact of learning machines [9]. This highlights the necessity for educational institutions to incorporate discussions on ethics into the adoption of AI technologies to ensure responsible use.
AI in education, particularly through Adaptive and Intelligent Web-based Educational Systems (AIWBES), is rapidly evolving and supplanting traditional methods of utilizing the Internet for educational purposes [10]. This transition towards AI-driven educational systems demands a critical examination of the ethical considerations involved. The development and deployment of AI technologies in education necessitate a nuanced understanding of how these systems influence student learning, privacy, and autonomy.
As governments and businesses increasingly acknowledge the significance of considering the ethical implications of AI systems [11], educational institutions must also prioritize ethical considerations when integrating AI into learning environments. Dialogues concerning accountability and explainability in AI systems are essential to ensure transparency and trust in educational settings. It is crucial for students, teachers, and administrators to comprehend how AI technologies function and make decisions to uphold ethical standards.
Furthermore, the ethical implications of employing AI in education extend to matters of autonomy and self-determination [12][13]. As AI algorithms assume a more prominent role in educational decision-making processes, questions arise regarding the extent to which individuals can exercise autonomy in learning environments. Striking a balance between the advantages of AI-driven personalized learning and the ethical imperative of respecting individual autonomy poses a significant challenge that educators and policymakers must confront.
Conclusion
The article found that academic integrity significantly impacts academicians’ adoption of ChatGPT, with higher academic integrity leading to lower usage. This is due to concerns about unethical practices like plagiarism and academic dishonesty. Suggesting that academics believe using ChatGPT can save time without compromising research ethics. Self-assurance and perceived anxiety are also influenced by academic integrity, with high academic integrity fostering adoption of innovative tools. However, academic integrity also strengthens the negative association between societal influence and ChatGPT usage behavior, suggesting that academic peers with high academic integrity may lead to lower usage.
Reference
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Cite As
Thanaporn P. (2024) Utilization of ChatGPT in Educational Settings: Academic integrity is currently at an uncertain equilibrium, Insights2Tech, pp. 1