The Critical Role of Trust in Adopting AI-Powered Educational Technology for Learning: An Instrument for Measuring Student Perceptions

Computers and Education Artificial Intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 100368 - 100368

Published: Jan. 1, 2025

Language: Английский

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Language learners’ surface, deep, and organizing approaches to ChatGPT-assisted language learning: What contextual, individual, and ChatGPT-related factors contribute?

Smart Learning Environments, Journal Year: 2025, Volume and Issue: 12(1)

Published: Feb. 6, 2025

Abstract Researchers have significantly explored language learners' attitudes toward ChatGPT through the lens of technology acceptance models, particularly with its development and integration into computer-assisted learning (CALL). However, further research in this area is necessary to apply a theoretical framework pedagogical-oriented perspective. Therefore, study, researchers utilized students' approaches environment (SAL) extended it by incorporating multilevel perspective that encompasses contextual, individual, ChatGPT-related factors. Accordingly, integrated their syllabus guided learners three universities Ardabil City use during academic year 2023–2024. In end, 214 participants answered study questionnaire. The result partial least squares modeling (PLS-SEM), Importance performance map analysis (IPMA) showed leadership, where university executive provides atmosphere for norms integration, could shape learners’ organizing approach using daily schedule. Additionally, personalization anthropomorphism were among significant factors shaped deep as source meaningful, cross-referenced CALL tool. low feedback reliability, privacy concerns, ChatGPT's perceived value contributed surface minimizing ChaGPT-related factor. On basis these findings, introduces new conceptual artificial intelligence (AILL) suggests leadership should be promoted at macro-contextual level might cover other micro-contextual, personal, factors, including price-value, personalization, motivation, which are important elements CHAGPTALL.

Language: Английский

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The Double-Edged Sword of Anthropomorphism in LLMs

Published: Feb. 26, 2025

Humans may have evolved to be "hyperactive agency detectors". Upon hearing a rustle in pile of leaves, it would safer assume that an agent, like lion, hides beneath (even if there ultimately nothing there). Can this evolutionary cognitive mechanism—and related mechanisms anthropomorphism—explain some people's contemporary experience with using chatbots (e.g., ChatGPT, Gemini)? In paper, we sketch how such engender the seemingly irresistible anthropomorphism large language-based chatbots. We then explore implications within educational context. Specifically, argue tendency perceive "mind machine" is double-edged sword for progress: Though can facilitate motivation and learning, also lead students trust—and potentially over-trust—content generated by To sure, do seem recognize LLM-generated content may, at times, inaccurate. argue, however, rise towards will only serve further camouflage these inaccuracies. close considering research turn aiding becoming digitally literate—avoiding pitfalls caused perceiving humanlike mental states

Language: Английский

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Generative AI, Research Ethics, and Higher Education Research: Insights from a Scientometric Analysis

Information, Journal Year: 2024, Volume and Issue: 15(6), P. 325 - 325

Published: June 2, 2024

In the digital age, intersection of artificial intelligence (AI) and higher education (HE) poses novel ethical considerations, necessitating a comprehensive exploration this multifaceted relationship. This study aims to quantify characterize current research trends critically assess discourse on AI applications within HE. Employing mixed-methods design, we integrated quantitative data from Web Science, Scopus, Lens databases with qualitative insights selected studies perform scientometric content analyses, yielding nuanced landscape utilization in Our results identified vital areas through citation bursts, keyword co-occurrence, thematic clusters. We provided conceptual model for integration HE, encapsulating dichotomous perspectives AI’s role education. Three clusters were identified: frameworks policy development, academic integrity creation, student interaction AI. The concludes that, while offers substantial benefits educational advancement, it also brings challenges that necessitate vigilant governance uphold standards. implications extend policymakers, educators, developers, highlighting need guidelines, literacy, human-centered tools.

Language: Английский

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Unveiling the impact of ChatGPT on travel consumer behaviour: exploring trust, attribute, and sustainable-tourism action

Current Issues in Tourism, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 6

Published: May 23, 2024

This study examines the influence of ChatGPT on tourist behaviour using complexity theory. Factors such as media richness, anthropomorphism, trust in ChatGPT, and online travel agencies are investigated to understand their effects purchasing intentions word-of-mouth, along with a moderator sustainable-tourism action (practice). Results revealed relationships among variables, highlighting crucial role shaping consumer behaviour. A comparison between high low levels practice groups provides further insights. The discusses implications for industry, emphasising importance leveraging enhance sustainable actions.

Language: Английский

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

Applied System Innovation, Journal Year: 2024, Volume and Issue: 7(6), P. 110 - 110

Published: Nov. 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.

Language: Английский

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Uncovering personalized L2 motivation and self-regulation in ChatGPT-assisted language learning: A hybrid PLS-SEM-ANN approach

Computers in Human Behavior Reports, Journal Year: 2024, Volume and Issue: 17, P. 100539 - 100539

Published: Dec. 7, 2024

Language: Английский

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How Do Chinese Undergraduates Harness the Potential of Appraisal and Emotions in Generative AI-Powered Learning? A Multigroup Analysis Based on Appraisal Theory

Computers & Education, Journal Year: 2025, Volume and Issue: unknown, P. 105250 - 105250

Published: Jan. 1, 2025

Language: Английский

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International perspectives on artificial intelligence in higher education: An explorative study of students’ intention to use ChatGPT across the Nordic countries and the USA

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

Language: Английский

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Leveraging AI in academia: university students’ adoption of ChatGPT for writing coursework (take home) assignments through the lens of UTAUT2

Cogent Education, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 2, 2025

Language: Английский

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