Perception of generative AI use in UK higher education

Frontiers in Education, Год журнала: 2024, Номер 9

Опубликована: Окт. 3, 2024

Background Generative artificial intelligence (Gen-AI) has emerged as a transformative tool in research and education. However, there is mixed perception about its use. This study assessed the use, perception, prospect, challenges of Gen-AI use higher Methods prospective, cross-sectional survey university students United Kingdom (UK) distributed online between January April 2024. Demography participants their other AI tools were collected statistically analyzed to assess difference various subgroups. Results A total 136 responded which 59% (80) male. The majority aware academia (61%) with 52% having personal experience tools. Grammar correction idea generation two most common tasks 37% being regular users. Fifty-six percent respondents agreed that gives an academic edge 40% holding positive overall academia. Comparatively, was significant different age ranges ( I 2 = 27.39; p 0.002) levels education 20.07; < 0.001). Also, 83% believe will increase over half agreeing it should be integrated into learning. Plagiarism (33%), privacy issues (14%), lack clarity by (13%) remain top concerns regarding Conclusion are used continue grow While current challenging due mainly plagiarism fear university, users curriculum.

Язык: Английский

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Exploring the determinants of mathematics teachers’ willingness to implement STEAM education using structural equation modeling

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

Опубликована: Фев. 21, 2025

Язык: Английский

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How does AI literacy affect individual innovative behavior: the mediating role of psychological need satisfaction, creative self-efficacy, and self-regulated learning

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

Опубликована: Фев. 26, 2025

Язык: Английский

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Understanding Students' Intentions to Use AI for English Language Learning

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 157 - 178

Опубликована: Март 14, 2025

The integration of artificial intelligence (AI) in language education is gaining traction, yet students' adoption intentions remain underexplored. This study examines the factors influencing Algerian university to use AI for English learning. A convenience sample 145 students participated, and multiple linear regression analysis was conducted test four hypotheses. Findings reveal that perceived ease use, usefulness, attitudes toward AI, support all significantly positively influence adopt These results suggest user-friendly tools, clear benefits, positive attitudes, institutional or peer can enhance educational settings. contributes understanding acceptance learning provides insights educators developers aiming integrate effectively into education.

Язык: Английский

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Examining predictors of generative-AI acceptance and usage in academic research: a sequential mixed-methods approach

Benchmarking An International Journal, Год журнала: 2025, Номер unknown

Опубликована: Март 24, 2025

Purpose This research uses a mixed-methods approach to identify predictors of Generative artificial intelligence (Gen-AI) adoption and usage among academics educational researchers. It examines drivers barriers based on the diffusion innovation theory (DIT) planned behaviour (TPB). Design/methodology/approach A qualitative investigation was carried out by conducting interviews academic researchers who used Gen-AI tools such as ChatGPT. Based DIT, TPB analysis results, an integrated model proposed tested using survey data collected from analysed partial least squares-structural equation modelling (PLS-SEM). Findings The study demonstrated that relative advantages observability influence attitude subjective norms, these in turn impact behavioural intentions. Researchers' perception advantage their intentions use were found lead positive behaviours. However, technical limitations ethical concerns acted key moderators between intention norms intention, respectively. Mediation effects also observed. Research limitations/implications utilised DIT its base models, future could incorporate additional constructs other technology theories. concentrated had subsequently reported significant factors affecting usage. Future studies should consider perspective non-users tools. Further, geographical focus India, broaden scope. Practical implications community must unite develop guidelines for plagiarism research. be emphasising importance highlights need establishing standards, comprehensive transparently within framework. Originality/value results can greatly enhance understanding researchers, particularly light about integrity potential negative consequences

Язык: Английский

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The Effect of Digital Literacy, Innovative Attitudes, and Interpersonal Communication on Teacher Performance

IJORER International Journal of Recent Educational Research, Год журнала: 2024, Номер 5(2), С. 477 - 489

Опубликована: Март 7, 2024

Objective: Assessing a teacher's performance may involve examining how much they have achieved the necessary competencies. This research investigates effect of digital literacy, innovative attitudes, and interpersonal communication on teacher performance. Method: The statistical survey methodology was employed in this study order to substantiate its findings. researchers Partial Least Squares-Structural Equation Model (PLS-SEM) derive latent variable values. investigation conducted at public elementary school Serang City, Banten Province Indonesia. City region Indonesia is home 14 primary schools. sample comprised administrators 236 teachers Banten, sampling technique random sampling. questionnaire functions as instrument for gathering data study. Results: uncovered four noteworthy statistically significant discoveries. One that direct relationship exists between literacy mindsets. A mindsets communication. Interpersonal exhibit positive association. Novelty: intriguing due variations emphasis, participants, incorporation factors compared earlier studies. Previous only examined communication, will combine into single topic.

Язык: Английский

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Students’ Perception of Generative AI Use for Academic Purpose in UK Higher Education

Опубликована: Май 17, 2024

Background: Generative artificial intelligence (Gen-AI) has emerged as a transformative tool in research and education. However, there is mixed perception about its use. This study assessed the use, perception, prospect, challenges of Gen-AI use higher Methods: prospective, cross-sectional survey university students United Kingdom (UK) distributed online between January April 2024. Demography other AI tools were statistically analysed to assess difference various subgroups. Results: A total 136 responded which 59% (80) male. The majority aware academia (61%) with 52% having personal experience tools. Grammar correction idea generation two most common tasks 37% being regular users. Fifty-six percent respondents agreed that gives an academic edge 40% holding positive overall academia. Comparatively, was significant different age ranges (I2 = 27.39; p 0.002) levels education 20.07; < 0.001). Also, 83% believe will increase over half agreeing it should be integrated into learning. Plagiarism (33%), privacy issues (14%), lack clarity by (13%) remain top concerns regarding Conclusions: are used their continue grow While current challenging due mainly plagiarism fear university, users curriculum.

Язык: Английский

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Leveraging SmartPLS and AI for Educational Model Optimization

Опубликована: Авг. 7, 2024

Язык: Английский

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Latent Profile Analysis of AI Literacy and Trust in Mathematics Teachers and Their Relations with AI Dependency and 21st-Century Skills

Behavioral Sciences, Год журнала: 2024, Номер 14(11), С. 1008 - 1008

Опубликована: Окт. 30, 2024

Artificial Intelligence (AI) technology, particularly generative AI, has positively impacted education by enhancing mathematics instruction with personalized learning experiences and improved data analysis. Nonetheless, variations in AI literacy, trust dependency on these technologies among teachers can significantly influence their development of 21st-century skills such as self-confidence, problem-solving, critical thinking, creative collaboration. This study aims to identify distinct profiles trust, examines how correlate the aforementioned skills. Using a cross-sectional research design, collected from 489 China. A robust three-step latent profile analysis method was utilized analyze data. The revealed five literacy teachers: (1) Basic Engagement; (2) Developing Literacy, Skeptical AI; (3) Balanced Competence; (4) Advanced Integration; (5) Expertise Confidence. found that an increase directly correlates decrease findings underscore need for careful integration educational settings. Excessive reliance lead detrimental dependencies, which may hinder essential contributes existing literature providing empirical evidence impact professional teachers. It also offers practical implications policymakers institutions consider balanced approaches integration, ensuring enhances rather than replaces thinking problem-solving capacities educators.

Язык: Английский

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Performance of Artificial Intelligence: Does artificial intelligence dream of electric sheep

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Май 28, 2024

This study investigates the performance of generative artificial intelligence (AI) in evaluating acceptance AI technologies within higher education guidelines, reflecting on implications for educational policy and practice. Drawing a dataset guidelines from top-ranked universities, we compared evaluations with human evaluations, focusing acceptance, expectancy, facilitating conditions, perceived risk. Our revealed strong positive correlation between ChatGPT-rated human-rated AI, suggesting that can accurately reflect judgment this context. Further, found associations expectancy while negative These results validate evaluation, which also extends application Technology Acceptance Model Unified Theory Use framework individual to institutional perspectives.

Язык: Английский

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