Prioritizing Ethical Conundrums in the Utilization of ChatGPT in Education through an Analytical Hierarchical Approach

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

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Bridging expectations and reality: Addressing the price-value paradox in teachers' AI integration

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

Опубликована: Март 4, 2025

Язык: Английский

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Prediction of the Use of Generative Artificial Intelligence Through ChatGPT Among Costa Rican University Students: A PLS Model Based on UTAUT2

Applied Sciences, Год журнала: 2025, Номер 15(6), С. 3363 - 3363

Опубликована: Март 19, 2025

The rise in generative artificial intelligence (GenAI) is transforming education, with tools like ChatGPT enhancing learning, content creation, and academic support. This study analyzes ChatGPT’s acceptance among Costa Rican university students using the UTAUT2 model partial least squares structural equation modeling (PLS-SEM). research examines key predictors of AI adoption, including performance expectancy, effort social influence, facilitating conditions, behavioral intention, actual usage. findings from 194 indicate that expectancy (β = 0.596, p < 0.001) strongest predictor followed by 0.241, 0.005), while influence 0.381, conditions 0.217, 0.008) play a smaller role. Behavioral intention significantly influences usage 0.643, 0.001). Gender age differences emerge, male those aged 21–30 years showing higher levels. Despite positive attitudes toward ChatGPT, report insufficient training for effective use, underscoring need literacy programs structured pedagogical strategies. calls further on their long-term impact to foster responsible GenAI adoption education.

Язык: Английский

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ChatGPT and Its Societal Impact: Understanding Artificial Intelligence Adoption in Modern Learning Environments Through Integrated Models

Опубликована: Янв. 1, 2025

Язык: Английский

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Unlocking ChatGPT’s potential: a comparative study of student adoption intentions in higher education across India and Poland

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

Опубликована: Апрель 1, 2025

Язык: Английский

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Investigating the factors influencing the adoption and use of artificial intelligence applications among Pakistani university research scholars: An empirical study

Information Development, Год журнала: 2025, Номер unknown

Опубликована: Апрель 13, 2025

The widespread use and adoption of Artificial Intelligence (AI) applications among university students has drastically transformed the educational landscape. Recognizing importance this transformation, study aims to investigate factors affecting AI Pakistani research scholars. This used an extended version unified theory acceptance technology model innovative resistance theory. data were collected from 235 scholars through a questionnaire. Descriptive statistics multiple linear regression test analyze data. found that various for purposes such as ChatGPT, Grammarly, ChatPDF, SciSpace. personal innovativeness, performance expectancy, social influence, trust significantly influence scholars’ behavioral intention applications. In contrast, impact effort facilitating conditions, innovation on students’ tools was statistically insignificant. findings offer actionable insights educators, policymakers, developers aiming enhance in higher education.

Язык: 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, Год журнала: 2024, Номер 7(6), С. 110 - 110

Опубликована: Ноя. 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.

Язык: 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, Год журнала: 2025, Номер unknown, С. 105250 - 105250

Опубликована: Янв. 1, 2025

Язык: Английский

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Perceptions, Benefits, and Challenges of Students in SMU Senior High School on the Integration of Generative AI

Опубликована: Апрель 14, 2025

As we stand at the cusp of a revolution in classrooms, utilization Generative Artificial Intelligence (GenAI) education has catapulted scholarly discourses into spotlight. However, few research studies have delved potential benefits and challenges GenAI education. This study sought to determine perceptions, benefits, students Saint Mary's University Senior High School (SMUSHS) regarding use generative AI. The employed descriptive-comparative design, using both quantitative qualitative methods. A Likert scale was used section, while an open-ended question for part. With purposive sampling, 274 were selected as respondents study. After data analysis, findings revealed that senior high school positively perceive AI tool enhances learning outcomes. Additionally, tend focus more on drawbacks than when it comes GenAI, evidenced by significantly higher average level perceived experience their It also found frequency usage significant difference students' perceptions Furthermore, academic standing played major role shaping challenges. For integration education, majority suggest restrictions limitations be implemented well strengthening policies ensure are not relying solely work. could serve basis formulating guidelines conducting seminars teachers address misconceptions increase awareness educational settings.

Язык: Английский

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Human-Inspired Decision-Making in AI: Leveraging Insights from Visual Perception for Real-Time Sensor Data Processing

Опубликована: Июль 25, 2024

This paper introduces a novel decision-making approach grounded in insights into human visual perception of change. Modern technologies such as internet things (IoT) provide us with large amounts sensor data that need to be processed real time and decisions made high degree accuracy reliability. Artificial intelligence (AI) methods are welcome this context upgraded meet actual challenges. While modern computing capabilities facilitate rapid processing, the real-time demands vast necessitate swift responses across cyber chain, often leading compromises solution quality circumvent combinatorial search complexities. Determining adequacy entails varied approaches, relying on heuristic methodologies. We illustrate our original an example selected detail differential evolution algorithm, where we have make decision adopt best so far. propose inspired by perceptual features exploits Weber-Fechner law emulate judgements, offers promising way improve making AI applications requirements fulfillment. Our proposed methodology demonstrates applicability diverse scenarios involving numerical data, effectively mirroring abilities.

Язык: Английский

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