Exploring factors influencing the acceptance of ChatGPT in higher education: A smart education perspective

Heliyon, Год журнала: 2024, Номер 10(11), С. e31887 - e31887

Опубликована: Май 25, 2024

AI-powered chatbots hold great promise for enhancing learning experiences and outcomes in today's rapidly evolving education system. However, despite the increasing demand such technologies, there remains a significant research gap regarding factors influencing users' acceptance adoption of educational contexts. This study aims to address this by investigating that shape attitudes, intentions, behaviors towards adopting ChatGPT smart systems. employed quantitative approach, data were collected from 458 participants through structured questionnaire designed measure various constructs related technology acceptance, including perceived ease use, usefulness, feedback quality, assessment subject norms, attitude behavioral intention use ChatGPT. Structural model analysis (SEM) Statistical techniques then utilized examine relationships between these constructs. The findings revealed Perceived usefulness emerged as predictors attitudes education. Additionally, norms found positively influence intentions purposes. Moreover, significantly proved actual few hypotheses, relationship trust not supported data. contributes existing body information systems applications determining factor context.

Язык: Английский

---

The Unified Theory of Acceptance and Use of Technology (UTAUT) in Higher Education: A Systematic Review

SAGE Open, Год журнала: 2024, Номер 14(1)

Опубликована: Янв. 1, 2024

This systematic review evaluates the application of Unified Theory Acceptance and Use Technology (UTAUT) model in higher education, analyzing 162 SSCI/SCI-E articles from 2008 to 2022. It reveals a predominant focus on student participants Asia North America. Mobile learning tools are most studied technologies. Surveys continue be top data gathering method, while structural equation modeling is preferred for analysis. The Model combined with UTAUT. UTAUT testing shows performance expectancy has strongest sway behavioral intention. Additionally, underscores nuanced variances impact factors between education general contexts. study calls future applications must promote inclusive research spanning diverse groups, mixed methodologies theoretical perspectives. comprehensive approach imperative fully understand technology adoption patterns enable context-specific integration strategies.

Язык: Английский

---

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

Education and Information Technologies, Год журнала: 2024, Номер 29(14), С. 18695 - 18744

Опубликована: Март 14, 2024

Язык: Английский

---

ChatGPT awareness, acceptance, and adoption in higher education: the role of trust as a cornerstone

International Journal of Educational Technology in Higher Education, Год журнала: 2024, Номер 21(1)

Опубликована: Июль 30, 2024

Abstract As technology continues to advance, the integration of generative artificial intelligence tools in various sectors, including education, has gained momentum. ChatGPT, an extensively recognized language model created by OpenAI, significant importance, particularly education. This study investigates awareness, acceptance, and adoption a state-of-the-art developed higher education institutions across China. applies partial least squares structural equation modeling (PLS-SEM) method for examining data collected from 320 Chinese university students. The study’s conceptual framework integrates key determinants Technology Acceptance Model (TAM) extends it incorporating perceived as critical factor process. findings reveal that ChatGPT awareness significantly influences intention adopt ChatGPT. Perceived ease use, usefulness, mediate association between Additionally, trust moderates relationship intelligence. Moving forward, order maintain students’ thinking skills inventiveness their assessment writing, assessments must promote safe use Therefore, educators will be crucial ensuring are used ethically suitably providing clear guidelines instructions.

Язык: 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, Год журнала: 2024, Номер unknown, С. 1 - 23

Опубликована: Март 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.

Язык: Английский

---

Exploring the impact of generative AI-based technologies on learning performance through self-efficacy, fairness & ethics, creativity, and trust in higher education

Education and Information Technologies, Год журнала: 2024, Номер unknown

Опубликована: Авг. 24, 2024

Язык: Английский

---

Learner Perceptions of Artificial Intelligence-Generated Pedagogical Agents in Language Learning Videos: Embodiment Effects on Technology Acceptance

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 22

Опубликована: Июнь 7, 2024

Artificial intelligence generates vibrant characters, encompassing teachers, peer students, and advisors within diverse educational media. However, the impact of perceived embodiment such characters in language learning videos on students' technology acceptance adoption is unclear. Integrating structural equation modeling into thematic analysis, this study analyzes 1042 valid responses from higher education students to bridge research gap. Our reveals that four subdimensions (human-likeness, credibility, facilitation, engagement) significantly positively predict higher-education ease use usefulness artificial intelligence-generated virtual teachers videos. Notably, an exception arises, as human-likeness does not our context. Students' systemic interactivity process emerge pivotal mediators. The qualitative analysis identifies concerns about classroom administration, developmental support, technical issues, deprived interpersonal collaboration, liberal attainment cultivation with teacher presence. This can illuminate designs applications education.

Язык: Английский

---

Factors affecting generative artificial intelligence, such as ChatGPT, use in higher education: An application of technology acceptance model

British Educational Research Journal, Год журнала: 2024, Номер unknown

Опубликована: Окт. 19, 2024

Abstract The adoption of generative artificial intelligence (GAI) tools, such as ChatGPT, in higher education presents numerous opportunities and challenges. use GAI technologies various fields, including education, has accelerated technology develops. widely used language model developed by OpenAI, become progressively more important, especially the field education. This study employs acceptance to investigate factors influencing employment ChatGPT within sector Pakistan. employed PLS‐SEM method for probing data collected from 368 Pakistani university students. findings indicate that trust positively mediates affiliation between self‐efficacy, actual use, information interaction. Further, usefulness ease significantly moderate association self‐efficacy trust. Educators must encourage students safely preserve their critical thinking, problem‐solving abilities creativity during assessments. contributes understanding AI tools are educational settings provides insights administrators policymakers aiming implement these effectively.

Язык: Английский

---

Are skepticism and moderation dominating attitudes toward AI‐based technologies?

American Journal of Economics and Sociology, Год журнала: 2024, Номер 83(3), С. 567 - 607

Опубликована: Фев. 24, 2024

Abstract AI advancements are poised to substantially modify human abilities in the foreseeable future. They include integration of Brain–Computer Interfaces (BCIs) augment cognitive functions, application gene editing, and utilization AI‐powered robotic exoskeletons enhance physical strength. This study employs a comprehensive analytical framework combining factor analysis, clustering, ANOVA, logistic regression investigate public attitudes toward these transformative technologies. Our findings reveal three distinct clusters opinion reflecting varying optimism concern Cluster 1 (1574 participants) held positive view with high excitement while 2 (1334 showed balanced stance. 3 (2199 expressed heightened despite some excitement. Notably, regional disparities, particularly between urban rural participants, emerge as prominent influencing (ANOVA, F = 15.2, p < 0.001). Furthermore, identifies key influencers perception, highlighting significant roles played by religion factors. The implications extend beyond understanding sentiment. underscore need for informed policies that promote education awareness about technologies, address ethical concerns, engage decision‐making processes. As society navigates this technological landscape, nuanced becomes paramount, guiding regulation, innovation, engagement strategies. provides valuable insights into intricate dynamics surrounding acceptance highlights importance adapting measures evolving perceptions among general public.

Язык: Английский

---

A Structural equation modeling analysis of generative AI chatbots adoption among students and educators in higher education

Computers and Education Artificial Intelligence, Год журнала: 2024, Номер 7, С. 100274 - 100274

Опубликована: Авг. 3, 2024

In an era where artificial intelligence (AI) is reshaping educational paradigms, this study explores AI-based chatbot adoption in higher education among students and educators. Employing a Structural Equation Modeling (SEM) approach, the research focuses on developing validating comprehensive model to understand multifaceted factors impacting acceptance use of these chatbots. The methodology integrates extensive literature review, construction theoretical model, administration detailed questionnaire representative sample from sector, coupled with advanced SEM techniques for data analysis interpretation. validates model's robustness highlights relationships between several key affecting users' perspectives chatbots adoption. Results reveal predominantly positive perception towards AI-chatbots both educators, underscoring potential substantially enrich their journey. However, it also uncovers critical concerns pertaining trust, privacy, response bias, information accuracy. Moreover, offers valuable insights into how moderators such as technological proficiency, user roles, gender influence relationships. This emphasizes need customizing deployment meet diverse needs users effectively. Contributing robust framework understanding perceptions patterns, actionable leaders, policymakers, technology developers. It lays groundwork future research, including longitudinal studies evaluate long-term impact technologies, investigations effect learning outcomes, explorations ethical privacy considerations involved.

Язык: Английский

---