Supercharge Your Academic Productivity with Generative Artificial Intelligence DOI
Hannah Lonsdale, Vikas N. O’Reilly-Shah, Asif Padiyath

и другие.

Journal of Medical Systems, Год журнала: 2024, Номер 48(1)

Опубликована: Авг. 8, 2024

Язык: Английский

Student interaction with ChatGPT can promote complex critical thinking skills DOI
Rossella Suriano, Alessio Plebe,

Alessandro Acciai

и другие.

Learning and Instruction, Год журнала: 2024, Номер 95, С. 102011 - 102011

Опубликована: Сен. 12, 2024

Язык: Английский

Процитировано

23

Exploring the impact of generative AI-based technologies on learning performance through self-efficacy, fairness & ethics, creativity, and trust in higher education DOI
Muhammad Farrukh Shahzad, Shuo Xu, Hira Zahid

и другие.

Education and Information Technologies, Год журнала: 2024, Номер unknown

Опубликована: Авг. 24, 2024

Язык: Английский

Процитировано

18

Perceptions and Use of AI Chatbots among Students in Higher Education: A Scoping Review of Empirical Studies DOI Creative Commons

Odin Monrad Schei,

Anja Møgelvang, Kristine Ludvigsen

и другие.

Education Sciences, Год журнала: 2024, Номер 14(8), С. 922 - 922

Опубликована: Авг. 22, 2024

With the recent arrival of publicly available AI chatbots like ChatGPT, Copilot, Gemini, and Claude follows a need for knowledge about how students in higher education perceive use these tools, what this might mean their learning processes. This scoping review analyzes 24 empirical articles published between 1 January 2022 5 September 2023 on students’ perceptions education. The were reviewed using five-stage methodology. findings underscore global research interest engage with chatbots, which is especially pronounced Asia. studies span diverse disciplines, predominance science, technology, engineering, mathematics disciplines. reveal that as highly useful motivating personal task assistants getting immediate feedback help writing, coding, academic tasks. However, are concerned accuracy reliability responses from well potential negative impacts processes, critical thinking, discipline, creativity. purpose-driven among potentially positive influence motivation processes offer insights educators policymakers. Our concludes while attitudes, perceptions, prevail, addressing concerns crucial responsible integration

Язык: Английский

Процитировано

16

A systematic literature review on the application of generative artificial intelligence (GAI) in teaching within higher education: Instructional contexts, process, and strategies DOI
Peijun Wang, Yuhui Jing, Shusheng Shen

и другие.

The Internet and Higher Education, Год журнала: 2025, Номер unknown, С. 100996 - 100996

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

2

What makes for digital entrepreneurs? The role of AI-related drivers for nascent digital start-up activities DOI
Cong Doanh Duong

European Journal of Innovation Management, Год журнала: 2024, Номер unknown

Опубликована: Июнь 11, 2024

Purpose Applying the Stimulus–Organism–Response (SOR) model, this study aims to explore how AI-driven stimuli (e.g. ChatGPT adoption in entrepreneurship and perceived AI competencies) stimulate individuals’ cognitive organisms digital entrepreneurial opportunity exploration exploitation), these individually, congruently, incongruently trigger their behavioral responses nascent start-up activities). Design/methodology/approach Utilizing a sample of 1326 MBA students Vietnam with stratified sampling approach, multiple linear regression polynomial response surface analysis were used test hypotheses. Findings The findings reveal that competencies have positive significant impact on exploitation, which turn, positively affects activities. Moreover, also reports exploitation can be congruently combined each other effects Practical implications Some valuable recommendations based been provided for practitioners policymakers. Originality/value contributes academic landscape by validating SOR model within context entrepreneurship. It emphasizes sequential processes stimulus, responses, outcomes, shedding light nuanced landscape.

Язык: Английский

Процитировано

15

Unraveling the dark side of ChatGPT: a moderated mediation model of technology anxiety and technostress DOI
Cong Doanh Duong, Thi Viet Nga Ngo,

The Anh Khuc

и другие.

Information Technology and People, Год журнала: 2024, Номер unknown

Опубликована: Май 17, 2024

Purpose Limited knowledge exists regarding the adverse effects of artificial intelligence adoption, including platforms like ChatGPT, on users’ mental well-being. The current research seeks to adopt insight from stressor-strain-outcome paradigm and a moderated mediation model examine how technology anxiety moderates direct indirect relationships between compulsive use technostress, life satisfaction. Design/methodology/approach Drawing data sample 2,602 ChatGPT users in Vietnam, PROCESS macro was approached test model. Findings findings indicate that exhibited substantial positive impact while technostress found have negative influence Moreover, although did not show significant effect, it indirectly impacts satisfaction via technostress. Remarkably, significantly moderate both associations Practical implications Based this research, some practical are provided. Originality/value offers fresh perspective by applying provide empirical evidence relationship thus sheds new light adoption its health.

Язык: Английский

Процитировано

13

ChatGPT: perspectives from human–computer interaction and psychology DOI Creative Commons

Jiaxi Liu

Frontiers in Artificial Intelligence, Год журнала: 2024, Номер 7

Опубликована: Июнь 18, 2024

The release of GPT-4 has garnered widespread attention across various fields, signaling the impending adoption and application Large Language Models (LLMs). However, previous research predominantly focused on technical principles ChatGPT its social impact, overlooking effects human–computer interaction user psychology. This paper explores multifaceted impacts interaction, psychology, society through a literature review. author investigates ChatGPT’s foundation, including Transformer architecture RLHF (Reinforcement Learning from Human Feedback) process, enabling it to generate human-like responses. In terms studies significant improvements GPT models bring conversational interfaces. analysis extends psychological impacts, weighing potential mimic human empathy support learning against risks reduced interpersonal connections. commercial domains, discusses applications in customer service services, highlighting efficiency challenges such as privacy issues. Finally, offers predictions recommendations for future development directions impact relationships.

Язык: Английский

Процитировано

13

Risks of AI-Assisted Learning on Student Critical Thinking DOI Creative Commons
Eriona Çela, Mathias Fonkam, Rajasekhara Mouly Potluri

и другие.

International Journal of Risk and Contingency Management, Год журнала: 2024, Номер 12(1), С. 1 - 19

Опубликована: Авг. 5, 2024

Artificial Intelligence (AI) has increasingly become a transformative force in the education sector, offering unprecedented opportunities to enhance learning experiences and outcomes. This study examines potential adverse effects of AI-assisted on critical cognitive skills, particularly thinking problem-solving, within context Albania's educational landscape. Employing quantitative methodology, survey 53 students was conducted across various institutions Albania gather data their perceptions regarding learning. The findings indicate no significant difference skills between with prior exposure AI tools those without. However, there is statistically negative correlation reliance for assignments students' problem-solving suggesting that excessive dependence can hinder development independent abilities. Conversely, strong positive found frequency tool usage academic performance assignment efficiency, highlighting benefits enhancing these aspects experience. These results emphasize need balanced integration ensure they complement rather than replace traditional methods. study's have implications educators policymakers, while certain outcomes, it essential address its risks promote skills. Future research should focus larger, more diverse samples, incorporate objective measures explore long-term impacts

Язык: Английский

Процитировано

13

Does ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studies DOI Creative Commons
Ruiqi Deng,

Mingyu Jiang,

Xiao Yu

и другие.

Computers & Education, Год журнала: 2024, Номер unknown, С. 105224 - 105224

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

10

Exploring the potential of generative AI in democratizing English language education DOI Creative Commons
Dara Tafazoli

Computers and Education Artificial Intelligence, Год журнала: 2024, Номер 7, С. 100275 - 100275

Опубликована: Авг. 7, 2024

This study investigates the transformative potential of Generative Artificial Intelligence (GenAI), particularly ChatGPT, in addressing educational challenges faced by Iranian English language teachers (N = 23). Drawing on qualitative data from focus group sessions, semi-structured interviews, and reflective essays, reveals five key themes: accessible learning materials, personalized experiences, ideological influences, overcoming technological barriers, combating isolation global trends. The findings highlight GenAI's capacity to provide diverse up-to-date materials tailored individual learners' needs, address biases, facilitate cross-cultural communication. Moreover, GenAI offers professional development opportunities for teachers, bridging digital divide empowering with levels literacy. By integrating into instruction, can overcome longstanding challenges, foster critical thinking, promote intellectual freedom open-mindedness among students. demonstrates inclusive education providing experiences that accommodate cultural backgrounds needs.

Язык: Английский

Процитировано

9