Factors influencing academic staff satisfaction and continuous usage of generative artificial intelligence (GenAI) in higher education

International Journal of Educational Technology in Higher Education, Год журнала: 2025, Номер 22(1)

Опубликована: Фев. 2, 2025

Abstract Generative Artificial Intelligence (GenAI) tools hold significant promises for enhancing teaching and learning outcomes in higher education. However, continues usage behavior satisfaction of educators with GenAI systems are still less explored. Therefore, this study aims to identify factors influencing academic staff continuous education, employing a survey method analyzing data using Partial Least Squares Structural Equation Modeling (PLS-SEM). This research utilized the Unified Theory Acceptance Use Technology (UTAUT) Expectation Confirmation Model (ECM) as its theoretical foundations, while also integrating ethical concerns factor. Data was collected from sample 127 university through an online questionnaire. The found positive correlation between effort expectancy, consideration, expectation confirmation, satisfaction. performance expectancy did not show Performance positively related intention use tools, influenced GenAI. social influence correlate Security privacy were associated Facilitation conditions findings provide valuable insights academia policymakers, guiding responsible integration education emphasizing policy considerations developers tools.

Язык: Английский

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Exploring the use of artificial intelligence in Indonesian accounting classes

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

Опубликована: Янв. 4, 2025

This study aims to reveal the use of artificial intelligence (AI) in accounting classes, analyze factors that influence educators AI continuously learning, and describe challenges ethics developing AI. The research population is (teachers lecturers) Indonesia who are members Professional Alliance Accounting Educators throughout Indonesia. sampling method used was purposive sampling. data collection a questionnaire distributed online via Google form platform, which gathered 230 responses, including 146 teachers 84 lecturers. descriptive analysis structural equation model were data. findings show Canva most widely tool, followed by ChatGPT. Teachers lecturers primarily create learning materials write academic articles. results only performance expectancy gender significantly impact intention education. Conversely, competence key affecting actual usage behavior learning. In addition, various exist using AI, issues related effectiveness efficiency, IT ethics, fostering student engagement interaction.

Язык: Английский

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Developing and Validating a Scale of Artificial Intelligence Anxiety Among Chinese EFL Teachers

European Journal of Education, Год журнала: 2025, Номер 60(1)

Опубликована: Янв. 7, 2025

ABSTRACT As artificial intelligence (AI) technology continues to advance, its influences across various industries have grown, leading increasing levels of anxiety, including that in education. Nonetheless, terms current knowledge, the literature lacks a valid scale measure AI anxiety among EFL teachers, particularly university teachers. Moreover, underlying dimensions this construct yet be clarified. Against these gaps, study aims develop and validate assess teachers China. We used qualitative interviews quantitative surveys combined identify key In so doing, 251 Chinese completed newly designed scale. The result exploratory factor analyses indicated five 21 items questionnaire. Five were identified: technical proficiency, job displacement, technological support, student experience research development. Next, another 415 participated validating confirmatory analysis demonstrated strong reliability, validity an acceptable model fit. This new provides useful tool for assessing highlights unique challenges they face adapting AI, offering basis future targeted support.

Язык: Английский

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Factors influencing Chinese pre-service teachers’ adoption of generative AI in teaching: an empirical study based on UTAUT2 and PLS-SEM

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

Опубликована: Янв. 14, 2025

Язык: Английский

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An Exploratory Study on the Efficacy and Inclusivity of AI Technologies in Diverse Learning Environments

Sustainability, Год журнала: 2024, Номер 16(20), С. 8992 - 8992

Опубликована: Окт. 17, 2024

This exploratory research conducted a thematic analysis of students’ experiences and utilization AI tools by students in educational settings. We surveyed 87 undergraduates from two different courses at comprehensive university Western Canada. Nine integral themes that represent AI’s role student learning key issues with respect to have been identified. The study yielded three critical insights: the potential expand access for diverse body, necessity robust ethical frameworks govern AI, benefits personalized AI-driven support. Based on results, model is proposed along recommendations an optimal environment, where facilitates meaningful learning. argue integrating into has promote inclusivity accessibility making more accessible students. also advocate shift perception among stakeholders towards calling de-stigmatization its use education. Overall, our findings suggest academic institutions should establish clear, empirical guidelines defining conduct what considered appropriate use.

Язык: Английский

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Influence of social support on technophobia in older adults in urban communities: the mediating role of self-efficacy and e-health literacy, a cross-sectional study

BMJ Open, Год журнала: 2025, Номер 15(2), С. e093107 - e093107

Опубликована: Фев. 1, 2025

To explore the chained mediating role of self-efficacy and e-health literacy in association between social support technophobia older adults urban communities. A cross-sectional study conducted from June 2023 to April 2024. This was three districts Taiyuan City, Shanxi Province, China. The enrolled 1658 (> 60 years old) communities Taiyuan. analyses included assessments using technophobia, e-health, scales, effects these indices were investigated Model 6 SPSS V.26. level found be moderately high. Technophobia negatively correlated with support, literacy. Stepwise regression analysis showed that age, residential situation, health frequency electronic device use risk factors for (p<0.05). Social could influence directly (β=-0.266). In addition, (β=-0.080) (β=-0.098) significantly mediated relationship technophobia. affect via independent or

Язык: Английский

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Learning and Teaching in the Era of Generative Artificial Intelligence Technologies: An In‐Depth Exploration Using Multi‐Analytical SEM‐ANN Approach

European Journal of Education, Год журнала: 2025, Номер 60(1)

Опубликована: Фев. 18, 2025

ABSTRACT The arrival of generative artificial intelligence (GAI) technologies marks a significant transformation in the educational landscape, with implications for teaching and learning performance. These can generate content, simulate interactions, adapt to learners' needs, offering opportunities interactive experiences. In China's education sector, incorporating GAI address challenges, enhance practices, improve This study scrutinises impact on performance focusing mediating roles e‐learning competence (EC), desire (DL), beliefs about future (BF), as well moderating role facilitating conditions amongst Chinese educators. Data was collected from 411 teachers across various institutions China using purposive sampling. PLS‐SEM ANN were employed assess suggested structural model. results indicate that significantly influence by EC, DL, BF roles. Furthermore, positively moderate association BF. underscores critical self‐determination theory shaping effective incorporation education, valuable insights outcomes sector.

Язык: Английский

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Efficiency of information and communication technology adoption by entrepreneurs

Management Decision, Год журнала: 2025, Номер unknown

Опубликована: Март 6, 2025

Purpose This study seeks to improve the understanding of motivation driving entrepreneurs micro, small and medium enterprises (MSMEs) integrate ICTs why this process is easier for some. The unified theory acceptance use technology (UTAUT) a suitable framework analysis. Our research aims establish an explanatory typology based on optimization individual perceptions usage intentions which enables identification those groups that possess greater intention in their businesses. sheds light how these factors influence information communication (ICT) adoption within Design/methodology/approach adopts alternative approach methodology contribute new insights into academic discourse regarding Unified Theory Acceptance Use Technology (UTAUT). Building upon theoretical foundation UTAUT, present pioneers application Data Envelopment Analysis (DEA) dataset encompassing 436 Spanish entrepreneurs. objective examine combination diverse UTAUT optimise implement companies while minimising anxiety associated with technologies (the outputs). Based results obtained, established combines intentions. Findings When applied our group entrepreneurs, DEA reveals certain individuals can current perception levels. discovery has enabled us create through examination efficiency various perception-intention and/or combinations. proposed shed debate as not all translate have ICTs. An investigation efficient wide range combinations, encompasses both harmony effective behaviour deviating from such behaviour. Research limitations/implications provides snapshot at specific point time does account dynamic changes or adjustments over time, scores are relative measures depend other decision-making units dataset. appropriate benchmark comparison be challenging, especially heterogeneous datasets cross-cultural In respect, literature lacking cross-technology comparisons. Practical implications business management, accelerators economic policy. A detailed clusters could reveal potential barriers obstacles hindering implementation MSMEs, thereby enabling researchers focus who do align model. Entrepreneurs classified most unfavourable typologies take steps enhance perceptions, administration efforts Originality/value model receives limited coverage existing literature. To best knowledge, first utilise (in contrast prevalent structural equation modelling previous studies related UTAUT). analysis contributes fresh empirical evidence models among tool hinder ICT types

Язык: Английский

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The impact of TPACK on teachers’ willingness to integrate generative artificial intelligence (GenAI): The moderating role of negative emotions and the buffering effects of need satisfaction

Teaching and Teacher Education, Год журнала: 2024, Номер 154, С. 104877 - 104877

Опубликована: Ноя. 26, 2024

Язык: Английский

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Pre-service Teachers' Dual Perspectives on Generative AI: Benefits, Challenges, and Integrating into Teaching and Learning

Online Learning, Год журнала: 2024, Номер 28(3)

Опубликована: Сен. 1, 2024

This study examined pre-service teachers' perspectives on integrating generative AI (GenAI) tools into their own learning and teaching practices. Discussion posts from asynchronous online courses ChatGPT were analyzed using the Diffusion of Innovations framework to explore familiarity, willingness apply instruction, potential benefits, challenges, concerns about GenAI in learning. The course discussions significantly increased awareness foundational knowledge while reducing anxiety towards technologies. However, despite exposure ChatGPT, only a few confirmed intentions adopt practices, potentially reflecting lingering uncertainties evidenced by emotional responses, such as worry concern. Professional development literacy can address these enhance familiarity. offers insights responsible adoption education how higher leverage teacher

Язык: Английский

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