Student Perceptions of Generative Artificial Intelligence: Investigating Utilization, Benefits, and Challenges in Higher Education

Systems, Journal Year: 2024, Volume and Issue: 12(10), P. 385 - 385

Published: Sept. 24, 2024

This research explores the use of Generative Artificial Intelligence (GenAI) tools among higher education students in Saudi Arabia, aiming to understand their current perceptions these technologies. study utilizes Technology Acceptance Model (TAM) and theory Task-Technology Fit (TTF) examine students’ utilization, perceived benefits, challenges associated with tools. A cross-sectional survey was conducted, yielding 859 responses. The findings indicate that 78.7% frequently GenAI tools, while 21.3% do not, often due a lack knowledge or interest. ChatGPT emerged as most widely used tool, utilized by 86.2% respondents, followed other like Gemini, Socratic, CoPilot. Students primarily for defining clarifying concepts, translation, generating ideas writing, summarizing academic literature. They cite benefits such ease access, time-saving, instant feedback. However, they express concerns about challenges, including subscription fees, unreliable information, plagiarism, reduced human-to-human interaction, impacts on learning autonomy. underscores need increased awareness, ethical guidelines, robust integrity measures ensure responsible educational settings. These highlight balanced utilization maximizes addressing potential guides development policies, curricula, support systems.

Language: Английский

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Exploring the adoption of AI-enabled English learning applications among university students using extended UTAUT2 model

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

Published: Jan. 22, 2025

Language: Английский

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Student (Mis)Use of Generative AI Tools for University-Related Tasks

International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14

Published: Feb. 18, 2025

Language: Английский

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What Influences College Students Using AI for Academic Writing? - A Quantitative Analysis Based on HISAM and TRI Theory

Computers and Education Artificial Intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 100391 - 100391

Published: March 1, 2025

Language: Английский

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Artificial Intelligence in Higher Education: Applications, Challenges, and Policy Development and Further Considerations

Higher education, Journal Year: 2025, Volume and Issue: unknown, P. 265 - 315

Published: Jan. 1, 2025

Language: Английский

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How Technology Readiness Influences Behavioral and Purchasing Intention: Serial Multiple Mediating Role of Attitude toward AI and AI-Driven Consumer Chatbot Experience

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

With the rise of AI in digital consumer experiences, one key challenges for businesses is predicting and influencing consumers’ behavioral purchase intentions AI-driven interactions. In this regard, there appears to be a knowledge gap literature that cannot determined regarding effect technology readiness on purchasing and, accordingly, mediating role attitude toward chatbot experience. Therefore, research aims determine relationships among readiness, technology, experience, intentions, intentions. The primary focus study evaluate impact Turkish consumers' through serial multiple roles customer A questionnaire designed line with purpose was applied 423 respondents using chatbots during shopping Although does not directly affect experience play relationship between motivations intention.

Language: Английский

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Artificial Intelligence Tools Usage: A Structural Equation Modeling of Undergraduates’ Technological Readiness, Self-Efficacy and Attitudes

Journal for STEM Education Research, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 23, 2024

Language: Английский

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Engineering Students’ Use of Large Language Model Tools: An Empirical Study Based on a Survey of Students from 12 Universities

Education Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 280 - 280

Published: Feb. 24, 2025

Large language model (LLM) tools, such as ChatGPT, are rapidly transforming engineering education by enhancing tasks like information retrieval, coding, and writing refinement, which critical to the problem-solving technical focus of disciplines. This study investigates how students use LLM tools challenges they face, offering insights into adoption AI technologies in academic settings. A survey 539 from 12 leading Chinese universities, using UTAUT framework, examines factors technological expectations, environmental support, personal characteristics. The key findings include following: (1) Over 40% with 18.8% regarding them indispensable. (2) Trust AI-generated content remains a central challenge, must critically evaluate its accuracy reliability. (3) Environmental support significantly affects usage, notable regional disparities, particularly between eastern other regions China. (4) persistent digital divide, influenced gender, level, socioeconomic background, depth effectiveness tool use. These results underscore need for targeted address demographic disparities optimize integration education.

Language: Английский

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Responses to the AI Revolution in Hospitality and Tourism Higher Education: The Perception of Students Towards Accepting and Using Microsoft Copilot

European Journal of Investigation in Health Psychology and Education, Journal Year: 2025, Volume and Issue: 15(3), P. 35 - 35

Published: March 14, 2025

This research aims to examine hospitality and tourism students’ acceptance usage of Microsoft Copilot for educational purposes in Egyptian public universities. It also investigates the mediating role behavioral intention (BI) connection between actual use Copilot. study adopted unified theory technology (UTAUT) framework achieve aim. A quantitative approach was used via online surveys distributed gathered from 760 students nine universities Egypt analyzed using PLS-SEM test hypothesized relationships. The major findings showed that PE, EE, SI, FC affected BI highlighted a substantial direct influence FC, alone on Therefore, partially mediates relationship SI real-world classroom utilization clarifies has slight Copilot, while occurs entirely through BI. However, there full mediation PE EE. results have several implications higher education institutions academics are relevant other comparable setting.

Language: Английский

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Use of Generative AI by Higher Education Students

Electronics, Journal Year: 2025, Volume and Issue: 14(7), P. 1258 - 1258

Published: March 22, 2025

This research aims to explore the use, perceptions, and challenges associated with generative AI (GenAI) among higher education students. As GenAI technologies, such as language models, image generators, code assistants, become increasingly prevalent in academic settings, it is essential understand how students engage these tools their impact on learning process. The study investigates students’ awareness, adoption patterns, perceptions of AI’s role tasks, alongside benefits they identify face, including ethical concerns, reliability, accessibility. Through quantitative methods, provides a comprehensive analysis student experiences education. findings aim inform educators, technologists, institutions about opportunities barriers integrating technologies into educational practices guide development strategies that support effective responsible use academia.

Language: Английский

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