The impact of ChatGPT on higher education

Frontiers in Education, Journal Year: 2023, Volume and Issue: 8

Published: Sept. 8, 2023

Introduction This study explores the effects of Artificial Intelligence (AI) chatbots, with a particular focus on OpenAI’s ChatGPT, Higher Education Institutions (HEIs). With rapid advancement AI, understanding its implications in educational sector becomes paramount. Methods Utilizing databases like PubMed, IEEE Xplore, and Google Scholar, we systematically searched for literature AI chatbots’ impact HEIs. Our criteria prioritized peer-reviewed articles, prominent media outlets, English publications, excluding tangential chatbot mentions. After selection, data extraction focused authors, design, primary findings. The analysis combined descriptive thematic approaches, emphasizing patterns applications chatbots Results review revealed diverse perspectives ChatGPT’s potential education. Notable benefits include research support, automated grading, enhanced human-computer interaction. However, concerns such as online testing security, plagiarism, broader societal economic impacts job displacement, digital literacy gap, AI-induced anxiety were identified. also underscored transformative architecture ChatGPT versatile sector. Furthermore, advantages streamlined enrollment, improved student services, teaching enhancements, aid, increased retention highlighted. Conversely, risks privacy breaches, misuse, bias, misinformation, decreased human interaction, accessibility issues Discussion While AI’s global expansion is undeniable, there pressing need balanced regulation application within Faculty members are encouraged to utilize tools proactively ethically mitigate risks, especially academic fraud. Despite study’s limitations, including an incomplete representation overall effect education absence concrete integration guidelines, it evident that technologies present both significant risks. advocates thoughtful responsible

Language: Английский

---

Determinants of Intention to Use ChatGPT for Educational Purposes: Findings from PLS-SEM and fsQCA

International Journal of Human-Computer Interaction, Journal Year: 2023, Volume and Issue: 40(17), P. 4501 - 4520

Published: June 29, 2023

ChatGPT can revolutionize education by enhancing student engagement and making learning more personalized. Drawing on UTAUT2, this study investigated determinants of intention to use for educational purposes. Data were gathered from 406 Malaysian students analyzed using a hybrid approach including "partial least squares" (PLS) "fuzzy-set qualitative comparative analysis" (fsQCA). PLS showed that performance expectancy, effort hedonic motivation, value significantly influence the ChatGPT. Furthermore, we found personal innovativeness information accuracy negatively moderate associations between its determinants. While demonstrated social influence, facilitating conditions, habit do not affect use, fsQCA revealed all factors might suggested eight combinations may lead high use. The results hold various implications developers, instructors, universities provide insights accelerating adoption.

Language: Английский

---

Factors influencing students' intention to adopt and use ChatGPT in higher education: A study in the Vietnamese context

Education and Information Technologies, Journal Year: 2023, Volume and Issue: 29(10), P. 12167 - 12195

Published: Dec. 7, 2023

Language: Английский

---

Investigating factors of students' behavioral intentions to adopt chatbot technologies in higher education: Perspective from expanded diffusion theory of innovation

Computers in Human Behavior Reports, Journal Year: 2024, Volume and Issue: 14, P. 100396 - 100396

Published: March 3, 2024

With the emergence of emerging 4IR technologies, AI application tools (chatbots) are becoming more and popular widespread in various fields, including education. This study investigates factors that influence undergraduate students' inclination to utilize tools, specifically chatbots, for educational purposes. We applied an expanded diffusion theory innovation framework examine relationships between relative advantages, compatibility, trialability, trust, perceived usefulness, ease use, behavioral intention. Data from 842 students were collected through a questionnaire using 7-point scale, findings analyzed SmartPLS 4.0.9.2 software with covariance-based structural equation model. The results confirm hypotheses regarding trust chatbots. Students who perceive benefits chatbots express strong intention use them academic perception compatibility positively influences their adoption intention, those have opportunity try out likely them, indicating importance trialability. Surprisingly, did not find direct suggesting presence other influencing or dynamics offer practical insights contribute theoretical understanding innovation. Future research can further explore these gain deeper into complexities chatbot enhance settings.

Language: Английский

---

Determinants of cloud computing integration and its impact on sustainable performance in SMEs: An empirical investigation using the SEM-ANN approach

Heliyon, Journal Year: 2023, Volume and Issue: 9(5), P. e16299 - e16299

Published: May 1, 2023

Although extant literature has thoroughly investigated the incorporation of cloud computing services, examining their influence on sustainable performance, particularly at organizational level, is insufficient. Consequently, present research aims to assess factors that impact integration within small and medium-sized enterprises (SMEs) its subsequent effects environmental, financial, social performance. The data were collected from 415 SMEs analyzed using a hybrid SEM-ANN approach. PLS-SEM results indicate relative advantage, complexity, compatibility, top management support, cost reduction, government support significantly affect integration. This study also empirically demonstrated could improve performance by integrating services. ANN show with normalized importance (NI) 89.14%, ranked first among other affecting in SMEs. followed reduction (NI = 82.67%), 73.37%), compatibility 70.02%), 52.43%), advantage 48.72%). Theoretically, this goes beyond determinants SMEs' comprehensive manner. provides several practical implications for policymakers, SME managers, service providers.

Language: Английский

---

Investigating AI-based academic support acceptance and its impact on students’ performance in Malaysian and Pakistani higher education institutions

Education and Information Technologies, Journal Year: 2024, Volume and Issue: 29(14), P. 18695 - 18744

Published: March 14, 2024

Language: Английский

---

The Role of Perceived Trust in Embracing Artificial Intelligence Technologies: Insights from SMEs

Studies in computational intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: Jan. 1, 2025

Language: Английский

---

Economics students’ behavioural intention and usage of ChatGPT in higher education: a hybrid structural equation modelling-artificial neural network approach

Cogent Social Sciences, Journal Year: 2024, Volume and Issue: 10(1)

Published: Jan. 16, 2024

The Chat Generative Pre-Trained Transformer, popularly referred to as ChatGPT, is an AI-based technology with the potential revolutionise conventional teaching and learning in higher education institutions (HEIs). However, it remains unclear which factors influence behavioural intentions actual usage of ChatGPT among economics students Ghanaian HEIs. In pursuit this goal, we employed extended Unified Theory Acceptance Use Technology (UTAUT2) gain a better understanding antecedents influencing students. study surveyed 306 enrolled at public university. These were aware existence applications. We applied hybrid analytical approach, combining structural equation modelling artificial neural network (SEM-ANN), elucidate causal relationships between variables believed impact perceived trust, intentions, usage. results showed that design interactivity have significant on trust. Similarly, social influence, performance expectancy, hedonic motivation, habits drive intentions. Among various motivation emerged most dominant. Moreover, facilitating conditions significantly students' use ChatGPT. Nevertheless, ethics not factor effort expectancy does affect behavioral intention. findings, however, offer theoretical practical contributions can serve guide for thoughtful responsible integration tools future strategy enhance accessibility inclusivity opportunities

Language: Английский

---

Could AI Ethical Anxiety, Perceived Ethical Risks and Ethical Awareness About AI Influence University Students’ Use of Generative AI Products? An Ethical Perspective

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 23

Published: March 8, 2024

The study aims to explore the factors that influence university students' behavioral intention (BI) and use behavior (UB) of generative AI products from an ethical perspective. Referring decision-making theory, research model extends UTAUT2 with three influencing factors: awareness (EA), perceived risks (PER), anxiety (AIEA). A sample 226 students was analysed using Partial Least Squares Structural Equation Modelling technique (PLS-SEM). results further validate effectiveness UTAUT2. Furthermore, performance expectancy, hedonistic motivation, price value, social all positively BI products, except for effort expectancy. Facilitating conditions habit show no significant impact on BI, but they can determine UB. extended perspective play roles as well. AIEA PER are not key determinants BI. However, directly inhibit From mediation analysis, although do have a direct UB, it inhibits UB indirectly through AIEA. Ethical Nevertheless, also increase PER. These findings help better accept ethically products.

Language: Английский

---

Exploring intention of undergraduate students to embrace chatbots: from the vantage point of Lesotho

International Journal of Educational Technology in Higher Education, Journal Year: 2024, Volume and Issue: 21(1)

Published: March 22, 2024

Abstract The increasing prevalence of Fourth Industrial Revolution (4IR) technologies has led to a surge in the popularity AI application tools, particularly chatbots, various fields, including education. This research explores factors influencing undergraduate students' inclination embrace specifically for educational purposes. Using an expanded diffusion theory innovation framework, study investigates relationship between relative advantages, compatibility, trialability, perceived trust, usefulness, ease use, and behavioral intention. 7-point scale, questionnaire was given 842 students collect data. analysis, conducted using SmartPLS 4.0.9.2 software with covariance-based structural equation model, produced significant findings. confirms hypotheses related trust associated chatbots. Notably, who perceive benefits chatbots show strong intention use them academic perception compatibility positively influences adoption intention, highlighting importance compatibility. Additionally, have opportunity trial are more likely them, emphasizing significance trialability. Interestingly, did not establish direct relationships suggests presence other influential or dynamics These findings offer practical insights contribute theoretical understanding innovation. Future can further explore these unravel complexities chatbot facilitate broader tools settings.

Language: Английский

---