The mediating role of satisfaction in the relationship between perceived usefulness, perceived ease of use and students’ behavioural intention to use ChatGPT

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 28, 2025

Язык: Английский

---

Large language models and GenAI in education: Insights from Nigerian in-service teachers through a hybrid ANN-PLS-SEM approach

F1000Research, Год журнала: 2025, Номер 14, С. 258 - 258

Опубликована: Март 4, 2025

Background The rapid integration of Artificial Intelligence (AI) in education offers transformative opportunities to enhance teaching and learning. Among these innovations, Large Language Models (LLMs) like ChatGPT hold immense potential for instructional design, personalized learning, administrative efficiency. However, integrating tools into resource-constrained settings such as Nigeria presents significant challenges, including inadequate infrastructure, digital inequities, teacher readiness. Despite the growing research on AI adoption, limited studies focus developing regions, leaving a critical gap understanding how educators perceive adopt technologies. Methods We adopted hybrid approach, combining Partial Least Squares Structural Equation Modelling (PLS-SEM) Neural Networks (ANN) uncover both linear nonlinear dynamics influencing behavioral intention (BI) 260 Nigerian in-service teachers regarding after participating structured training. Key predictors examined include Perceived Ease Use (PEU), Usefulness (PUC), Attitude Towards (ATC), Your Colleagues (YCC), Technology Anxiety (TA), Teachers’ Trust (TTC), Privacy Issues (PIU). Results Our PLS-SEM results highlight PUC, TA, YCC, PEU, that order importance, predictors, explaining 15.8% variance BI. Complementing these, ANN analysis identified ATC, PUC most factors, demonstrating substantial predictive accuracy with an RMSE 0.87. This suggests while drives PEU positive attitudes are foundational fostering engagement Conclusion need targeted professional development initiatives teachers’ competencies, reduce technology-related anxiety, build trust ChatGPT. study actionable insights policymakers educational stakeholders, emphasizing importance inclusive ethical ecosystem. aim empower support AI-driven transformation resource-limited environments by addressing contextual barriers.

Язык: Английский

---

The effect of generative AI use on doctoral students’ academic research progress: the moderating role of hedonic gratification

Cogent Education, Год журнала: 2025, Номер 12(1)

Опубликована: Март 6, 2025

Язык: Английский

---

ChatGPT and Its Societal Impact: Understanding Artificial Intelligence Adoption in Modern Learning Environments Through Integrated Models

Опубликована: Янв. 1, 2025

Язык: Английский

---

Predicting the actual use of artificial intelligence features of Apple Vision Pro using PLS-SEM

Contemporary Educational Technology, Год журнала: 2025, Номер 17(3), С. ep580 - ep580

Опубликована: Март 27, 2025

Despite the spread of artificial intelligence (AI) tools and applications, Apple Vision Pro (AVP) stands out for its innovative features compared to other types wearable technology. Moreover, traditional glasses have been deficient in incorporating many AI innovations that could enhance user experiences pose new challenges. In response these aspects, this study aims develop a theoretical model by integrating constructs from expectation confirmation (ECM) (expectation satisfaction [SAT]) aspects Uses Gratifications (U&G) theory. The perceived human likeness mediates model. This focuses on educational domain, aiming assess how technology enhances academic environment improves learning outcomes. method used was survey distributed among 134 participants Al Buraimi University College, Oman, two departments: English, linguistics, information consists seven hypotheses emphasize conceptual findings significantly impact predicting actual use (AU) AVP, indicating users’ expectations SAT play pivotal role adoption are closely linked variable likeness. Similarly, factors such as entertainment value, informativeness, lack web irritations influence associated with variable. However, Informativeness gratification failed pass proposal showed negative indicator AU AI. implications drawn results suggest institutions should tailor their courses curricula promote effective

Язык: Английский

---

Anxiety among Medical Students Regarding Generative Artificial Intelligence Models: A Pilot Descriptive Study

Опубликована: Авг. 16, 2024

Despite the potential benefits of generative Artificial Intelligence (genAI), concerns about its psy-chological impact on medical students, especially with regard to job displacement, are apparent. This pilot study, conducted in Jordan during July–August 2024, aimed examine specific fears, anxieties, mistrust, and ethical students could harbor towards genAI. Using a cross-sectional survey design, data were collected from 164 studying across various academic years, employing structured self-administered questionnaire an internally consistent FAME scale—representing Fear, Anxiety, Mistrust, Ethics comprising 12 items, three items for each construct. The results indicated variable levels anxiety genAI among participating students: 34.1% reported no role their future careers (n = 56), while 41.5% slightly anxious 61), 22.0% somewhat 36), 2.4% extremely 4). Among constructs, Mistrust was most agreed upon (mean: 12.35±2.78), followed by construct 10.86±2.90), Fear 9.49±3.53), Anxiety 8.91±3.68). Sex, level, Grade Point Average (GPA) did not significantly affect students’ perceptions However, there notable direct association between general elevated scores constructs scale. Prior exposure previous use modify These findings highlighted critical need refined educational strategies address integration training. demonstrated pervasive anxiety, fear, regarding deployment healthcare, indicating necessity curriculum modifi-cations that focus specifically these areas. Interventions should be tailored increase familiarity competency, which would alleviate apprehension equip physicians engage this inevitable technology effectively. study also importance incorporating discussions into courses mistrust human-centered aspects Conclusively, calls proactive evolution education prepare AI-driven healthcare practices shortly ensure well-prepared, confident, ethically informed professional interactions technologies.

Язык: Английский

---

ChatGPT usage and attitudes are driven by perceptions of usefulness, ease of use, risks, and psycho-social impact: a study among university students in the UAE

Frontiers in Education, Год журнала: 2024, Номер 9

Опубликована: Авг. 7, 2024

Background The use of ChatGPT among university students has gained a recent popularity. current study aimed to assess the factors driving attitude and usage as an example generative artificial intelligence (genAI) in United Arab Emirates (UAE). Methods This cross-sectional was based on previously validated Technology Acceptance Model (TAM)-based survey instrument termed TAME-ChatGPT. self-administered e-survey distributed by emails for enrolled UAE universities during September–December 2023 using convenience-based approach. Assessment demographic academic variables, TAME-ChatGPT constructs’ roles conducted univariate followed multivariate analyses. Results final sample comprised 608 participants, 91.0% whom heard while 85.4% used before study. Univariate analysis indicated that positive associated with three constructs namely, lower perceived risks, anxiety, higher scores technology/social influence. For usage, being male, nationality, point grade average (GPA) well four usefulness, risks use, behavior/cognitive construct ease-of-use construct. In analysis, only explained variance towards (80.8%) its (76.9%). Conclusion findings is commonplace UAE. determinants included cognitive behavioral factors, ease determined These should be considered understanding motivators successful adoption genAI including education.

Язык: Английский

---

Factors Impacting the Adoption and Acceptance of ChatGPT in Educational Settings: A Narrative Review of Empirical Studies

Applied System Innovation, Год журнала: 2024, Номер 7(6), С. 110 - 110

Опубликована: Ноя. 7, 2024

This narrative review synthesizes and analyzes empirical studies on the adoption acceptance of ChatGPT in higher education, addressing need to understand key factors influencing its use by students educators. Anchored theoretical frameworks such as Technology Acceptance Model (TAM), Unified Theory Use (UTAUT), Diffusion Innovation (DoI) Theory, Technology–Organization–Environment (TOE) model, Planned Behavior, this highlights central constructs shaping behavior. The confirmed include hedonic motivation, usability, perceived benefits, system responsiveness, relative advantage, whereas effects social influence, facilitating conditions, privacy, security vary. Conversely, technology readiness extrinsic motivation remain unconfirmed consistent predictors. study employs a qualitative synthesis 40 peer-reviewed studies, applying thematic analysis uncover patterns driving adoption. findings reveal that, while traditional models offer valuable insights, deeper exploration contextual psychological is necessary. study’s implications inform future research directions institutional strategies for integrating AI support educational innovation.

Язык: Английский

---

Social Work Educators Innovating With Generative AI: An Exploratory Study

Journal of Social Work Education, Год журнала: 2025, Номер unknown, С. 1 - 16

Опубликована: Янв. 3, 2025

Generative artificial intelligence (AI) is gaining traction across various fields, yet its adoption within social work remains limited. This study explores the use of ChatGPT by educators to enhance teaching, research, and service activities. Six documented their in fall 2023 explore AI integration academia with a qualitative content analysis quantitative assessments usage frequency perceived usefulness. The findings indicated that was considered useful 85% interactions, majority using for teaching support. Ethical practical challenges are discussed, noting tools like augment rather than replace human expertise. Social academics encouraged reflect on work.

Язык: Английский

---

Exploring knowledge, attitudes, and practices of academics in the field of educational sciences towards using ChatGPT

Education and Information Technologies, Год журнала: 2025, Номер unknown

Опубликована: Янв. 6, 2025

Язык: Английский

---