Understanding Chinese University EFL Learners' Perceptions of AI in English Writing DOI Creative Commons

Jiaozhi Liang,

Fang Huang, Timothy Teo

и другие.

International Journal of Computer-Assisted Language Learning and Teaching, Год журнала: 2024, Номер 14(1), С. 1 - 16

Опубликована: Ноя. 1, 2024

Artificial intelligence (AI) is useful to English as a foreign language (EFL) learners, but there paucity of research on how they perceive AI. Contextualized in Chinese university setting, this study investigated EFL learners' perceptions Grammarly writing. Based an extended technology acceptance model (TAM) with task relevance, subjective norm, and perceived enjoyment being added, quantitative data were collected from 140 learners. Structural equation modeling analysis suggested that the proposed could effectively explain participants' views Grammarly. Their ease use significantly influenced usefulness, which had major impact their attitudes towards AI behavioral intention. Perceived relevance also significant predictors students' software. The explained 71% variance intentions Suggestions given teachers implementing writing support.

Язык: Английский

Behavioral analysis of ChatGPT users based on the ABC model: Focusing on a socio-technical approach DOI
Yang Liu, Huizhong Wang, Younggeun Park

и другие.

European Management Journal, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1
What motivates academics in Egypt toward generative AI tools? An integrated model of TAM, SCT, UTAUT2, perceived ethics, and academic integrity DOI

Metwaly Ali Mohamed Eldakar,

Ahmed Shehata, Ahmed Ammar

и другие.

Information Development, Год журнала: 2025, Номер unknown

Опубликована: Янв. 31, 2025

In recent years, the adoption of AI technologies in academia has increased, prompting a need to explain factors driving scholars adopt or plan research routines. This study integrates three models into one integrated model: TAM, UTAUT, and SCT. These are combined understand how GenAI self-efficacy, perceived ethics, academic integrity, social influence, facilitating conditions, risks, ease use, usefulness influenced participants’ intention research. Following this, data were collected from Egyptian academics linked universities. There 742 responses this question. Data analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The paper's results showed that ethics significantly related perceptions usefulness, use GenAI. Facilitating conditions have negative effect on risk does not affect significantly. Notably, result found integrity GenAI's usage utility. guide illustrates universities must take proactive steps influence will be used reinforces importance these tools within an ethical lens. paper emphasizes balance generative practices. It examines role attitudes toward AI. They represent step forward our understanding induce adoption–in case, context, specifically Egypt. Additionally, it places sound emphasis technology can beneficial whilst advocating for sensible approach application, which includes principles.

Язык: Английский

Процитировано

1
Prioritizing Ethical Conundrums in the Utilization of ChatGPT in Education through an Analytical Hierarchical Approach DOI Creative Commons
Umar Ali Bukar, Md Shohel Sayeed, Abdul Razak

и другие.

Education Sciences, Год журнала: 2024, Номер 14(9), С. 959 - 959

Опубликована: Авг. 30, 2024

The transformative integration of artificial intelligence (AI) into educational settings, exemplified by ChatGPT, presents a myriad ethical considerations that extend beyond conventional risk assessments. This study employs pioneering framework encapsulating risk, reward, and resilience (RRR) dynamics to explore the landscape ChatGPT utilization in education. Drawing on an extensive literature review robust conceptual framework, research identifies categorizes concerns associated with offering decision-makers structured approach navigate this intricate terrain. Through Analytic Hierarchy Process (AHP), prioritizes themes based global weights. findings underscore paramount importance elements such as solidifying values, higher-level reasoning skills, transforming educative systems. Privacy confidentiality emerge critical concerns, along safety security concerns. work also highlights reward elements, including increasing productivity, personalized learning, streamlining workflows. not only addresses immediate practical implications but establishes theoretical foundation for future AI ethics

Язык: Английский

Процитировано

5
Exploring the factors influencing the intention to use mHealth applications in resource scare settings; A SEM Analysis among future nurses DOI Creative Commons
Ramya Kundayi Ravi, Atul Shiva, Jaison Jacob

и другие.

Global Transitions, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Understanding Chinese University EFL Learners' Perceptions of AI in English Writing DOI Creative Commons

Jiaozhi Liang,

Fang Huang, Timothy Teo

и другие.

International Journal of Computer-Assisted Language Learning and Teaching, Год журнала: 2024, Номер 14(1), С. 1 - 16

Опубликована: Ноя. 1, 2024

Artificial intelligence (AI) is useful to English as a foreign language (EFL) learners, but there paucity of research on how they perceive AI. Contextualized in Chinese university setting, this study investigated EFL learners' perceptions Grammarly writing. Based an extended technology acceptance model (TAM) with task relevance, subjective norm, and perceived enjoyment being added, quantitative data were collected from 140 learners. Structural equation modeling analysis suggested that the proposed could effectively explain participants' views Grammarly. Their ease use significantly influenced usefulness, which had major impact their attitudes towards AI behavioral intention. Perceived relevance also significant predictors students' software. The explained 71% variance intentions Suggestions given teachers implementing writing support.

Язык: Английский

Процитировано

1