Analysis of college students' attitudes toward the use of ChatGPT in their academic activities: effect of intent to use, verification of information and responsible use

BMC Psychology, Год журнала: 2024, Номер 12(1)

Опубликована: Май 8, 2024

Abstract Background In recent years, the use of artificial intelligence (AI) in education has increased worldwide. The launch ChatGPT-3 posed great challenges for higher education, given its popularity among university students. present study aimed to analyze attitudes students toward ChatGPTs their academic activities. Method This was oriented a quantitative approach and had nonexperimental design. An online survey administered 499 participants. Results findings this revealed significant association between various factors ChatGPT. beta coefficients responsible (β=0.806***), intention frequently (β=0.509***), acceptance (β=0.441***) suggested that these are strongest predictors positive attitude presence emotions (β=0.418***) also plays role. Conversely, risk (β=-0.104**) boredom (β=-0.145**) demonstrate negative yet less decisive influence. These results provide an enhanced understanding how perceive utilize ChatGPTs, supporting unified theory user behavior educational technology contexts. Conclusion Ease use, frequently, acceptance, verify information influenced behavioral ChatGPT responsibly. On one hand, provides suggestions HEIs improve curricula take advantage potential benefits AI contribute literacy.

Язык: Английский

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The Government Metaverse: Charting the Coordinates of Citizen Acceptance

Telematics and Informatics, Год журнала: 2024, Номер 88, С. 102109 - 102109

Опубликована: Фев. 15, 2024

Язык: Английский

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Unlocking future learning: Exploring higher education students' intention to adopt meta-education

Heliyon, Год журнала: 2024, Номер 10(9), С. e29544 - e29544

Опубликована: Апрель 21, 2024

Despite the potential of meta-education to transform higher education, there remains a scarcity research investigating students' adoption intentions. This study aimed identify factors influencing intentions adopt using an extended Decomposed Theory Planned Behavior model (DTPB). Data was collected via online survey 596 education students from Jordan who were purposefully selected. Structural equation modeling partial least squares analysis revealed attitude, social influence, and perceived behavioral control as key antecedents intention. Furthermore, newly added variables including enjoyment, herd behavior, student autonomy, innovativeness showed efficiency in explaining variance control. Overall, provided meaningful insights on driving willingness meta-education. The contributes theory by extending decomposed TPB context emerging educational technologies. It also provides practical implications for policymakers educators aiming encourage adoption.

Язык: Английский

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Understanding continuous use intention of technology among higher education teachers in emerging economy: evidence from integrated TAM, TPACK, and UTAUT model

Studies in Higher Education, Год журнала: 2024, Номер unknown, С. 1 - 20

Опубликована: Апрель 23, 2024

This paper presents a new model of integrated technology continuance (ITCM) to explain teachers' Continuous Use Intention (CUI) in the higher education institutions (HEIs). Drawing constructs from prominent adoption models like TAM, UTAUT, and incorporating theory TPACK (Technological Pedagogical Content Knowledge), research is developed tested. An online survey was carried out gather data 573 teachers teaching HEIs an emerging economy using purposive sampling method. Data collected evaluated utilizing partial least squares structural equation modeling (PLS-SEM). Analysis establishes applicability ITCM predicting CUI among teachers, with explanatory power 60.4%. The study also highlights positive influence facilitating conditions management support on which has favorable impact self-efficacy, perceived usefulness, ease use. Additionally, use, social major HEIs. provides insights into factors influencing integration technological innovations pedagogy classroom settings achieve some key tasks sustainable development goal 4 (SDG4). Future directions implications have been proposed considering findings.

Язык: Английский

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The meta-commerce paradox: exploring consumer non-adoption intentions

Online Information Review, Год журнала: 2024, Номер 48(6), С. 1270 - 1289

Опубликована: Апрель 18, 2024

Purpose The primary objective of this study is to explore consumers' non-adoption intentions towards meta-commerce (or metaverse retailing). Utilizing the Innovation Resistance Theory (IRT) as theoretical foundation, investigates impact diverse barriers on within context. Design/methodology/approach A total 356 responses were gathered test proposed hypotheses. Structural Equation Modelling (SEM) with SmartPLS 4 software was used examine these Findings findings show that perceived cyber risk, regulatory uncertainty, switching cost and technical uncertainty are significantly linked intention meta-commerce. Furthermore, suggests moderating influence technostress connections more pronounced for consumers high compared those low technostress. Originality/value This makes a significant contribution current body literature by providing valuable insights into fundamental encounter when contemplating adoption particularly noteworthy it fills gap in existing literature, no prior has comprehensively examined obstacles shape consumer adoption. novel perspective offers scholars, businesses policymakers foundation developing strategies address effectively.

Язык: Английский

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Acceptance of Educational Artificial Intelligence by Teachers and Its Relationship with Some Variables and Pedagogical Beliefs

Education Sciences, Год журнала: 2024, Номер 14(7), С. 740 - 740

Опубликована: Июль 6, 2024

This study explores teachers’ acceptance of artificial intelligence in education (AIEd) and its relationship with various variables pedagogical beliefs. Conducted at the Universidad Técnica Particular de Loja (UTPL, Ecuador), research surveyed 425 teachers across different disciplines teaching modalities. The UTAUT2 model analyzed dimensions like performance expectations, effort social influence, facilitating conditions, hedonic motivation, usage behavior, intention to use AIEd. Results showed a high level among teachers, influenced by factors age, gender, modality. Additionally, it was found that constructivist beliefs correlated positively AIEd adoption. These insights are valuable for understanding integration educational settings.

Язык: Английский

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Navigating the roadmap to meta-governance adoption

Global Knowledge Memory and Communication, Год журнала: 2024, Номер unknown

Опубликована: Июль 5, 2024

Purpose This study aims to investigate citizens' adoption intention towards meta-government (metaverse-based government) by proposing a dual-perspective technology acceptance model. Design/methodology/approach The validity of the proposed model was established gathering and analysing 533 responses using structural equation modelling (SEM). Findings findings underscore importance perceptions ease use usefulness in fostering adopt meta-government. However, perceived cyber risk switching costs negatively impact these perceptions. On contrary, herd behaviour immersion positively influence usefulness. Originality/value significantly contributes existing literature offering valuable insights into factors that It introduces novel perspective on primary (both enablers barriers) shaping These serve as foundation for scholars, governments policymakers develop effective strategies promoting adoption.

Язык: Английский

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Breaking into the black box of consumers’ perceptions on metaverse commerce: An integrated model of UTAUT 2 and dual-factor theory

Asia Pacific Management Review, Год журнала: 2024, Номер unknown

Опубликована: Сен. 1, 2024

Язык: Английский

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Understanding Metaverse Adoption in Education: The Extended UTAUMT Model

Heliyon, Год журнала: 2024, Номер 10(19), С. e38741 - e38741

Опубликована: Сен. 30, 2024

The metaverse, an immersive virtual environment enabling users to engage with digital experiences, has the potential revolutionize education. However, research pertaining this area is still in its early stages. This study investigates variables that influence acceptance of educational metaverses and intention use them. It also presents expanded model called Unified Theory Acceptance Use Metaverse Technology (UTAUMT) provide guidance educators decision-makers. involved 253 Vietnamese teachers students who had experience selected through purposive sampling. UTAUMT provides a comprehensive framework encompasses various factors, including metaverse performance expectancy (MPE), effort (MEE), social (MSI), hedonic motivation (MHM), price value (MPC), self-efficacy (MSE), facilitating conditions (MFC). These factors were assessed using self-administered questionnaire. findings indicate MEE, MSI, MFC, MSE, MBI have considerable impact on MUB. extended makes theoretical contribution by metaverse-specific elements into technology framework. managerial implications focus integration training users, providing support enhance adoption rate. explores contribute education contributes existing literature technology.

Язык: Английский

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Discovering students' continuous intentions to use ChatGPT in higher education: a tale of two theories

Asian Education and Development Studies, Год журнала: 2024, Номер 13(4), С. 356 - 372

Опубликована: Июнь 27, 2024

Purpose This study investigates the factors affecting university students’ intentions to continuously use ChatGPT by integrating UTAUT3 (Unified Theory of Acceptance and Use Technology) ISS (Information Systems Success) theories. Design/methodology/approach By using self-reported questionnaires, 388 usable data from students in Malaysia were analysed partial least squares structural equation modelling. Findings The results indicate that hedonic motivation, habit, facilitating conditions significantly impact continuous utilise ChatGPT. Furthermore, system quality, information service conversational quality influence satisfaction. Crucially, satisfaction is a critical factor intention Originality/value research integrates theories understand influencing with ChatGPT, filling gap previous studies have focused on these separately.

Язык: Английский

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