Generative AI and Higher Education: Trends, Challenges, and Future Directions from a Systematic Literature Review DOI Creative Commons
Jo�ão Batista, Anabela Mesquita, Gonçalo Carnaz

et al.

Information, Journal Year: 2024, Volume and Issue: 15(11), P. 676 - 676

Published: Oct. 28, 2024

(1) Background: The development of generative artificial intelligence (GAI) is transforming higher education. This systematic literature review synthesizes recent empirical studies on the use GAI, focusing its impact teaching, learning, and institutional practices. (2) Methods: Following PRISMA guidelines, a comprehensive search strategy was employed to locate scientific articles GAI in education published by Scopus Web Science between January 2023 2024. (3) Results: identified 102 articles, with 37 meeting inclusion criteria. These were grouped into three themes: application technologies, stakeholder acceptance perceptions, specific situations. (4) Discussion: Key findings include GAI’s versatility potential use, student acceptance, educational enhancement. However, challenges such as assessment practices, strategies, risks academic integrity also noted. (5) Conclusions: help identify directions for future research, including pedagogical ethical considerations policy development, teaching learning processes, perceptions students instructors, technological advancements, preparation skills workforce readiness. study has certain limitations, particularly due short time frame criteria, which might have varied if conducted different researchers.

Language: Английский

Best Practices for Conducting Systematic Reviews: Perspectives of Experienced Systematic Review Researchers in Educational Sciences DOI Creative Commons
Yvonne M. Hemmler, Florence Martin, Tuba Gezer

et al.

Technology Knowledge and Learning, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 4, 2025

Language: Английский

Citations

1

From Prompt to Polished: Exploring Student–Chatbot Interactions for Academic Writing Assistance DOI Creative Commons
Maya Usher, Meital Amzalag

Education Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 329 - 329

Published: March 7, 2025

The integration of generative artificial intelligence (GenAI) in higher education has opened new avenues for enhancing academic writing through student–chatbot interactions. While initial research explored this potential, deeper insights into the nature these interactions are needed. This study characterizes graduate students’ with AI chatbots writing, focusing on types assistance they sought and their communication style tone patterns. To achieve this, individual online sessions were conducted 43 students, chatbot analyzed using qualitative quantitative methods. analysis identified seven distinct by students. most frequent requests involved content generation expansion, followed source verification, then concept clarification definitions. Students also support consultation, text refinement formatting, and, less frequently, rephrasing modifying translation assistance. was “requesting,” marked direct appeals assistance, “questioning” “declarative” styles. In terms tone, “neutral” “praising” dominated interactions, reflecting engagement appreciation responses, while “reprimanding” tones relatively low. These findings highlight need tailored interventions that encourage students to seek a broader more in-depth range tasks.

Language: Английский

Citations

1

A qualitative analysis of Chinese higher education students’ intentions and influencing factors in using ChatGPT: a grounded theory approach DOI Creative Commons
Zhaoyang Liu, Wenlan Zhang

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Aug. 5, 2024

The emergence of ChatGPT has significantly impacted the field education. While much existing research predominantly examined theoretical implications ChatGPT, there is a notable absence empirical studies substantiating these claims. As pivotal stakeholders in education and primary users exploring willingness influencing factors higher students to use can offer valuable insights into real-world needs student users. This, turn, serve as foundation for empowering with intelligent technologies future. This study focuses specifically on demographic Chinese who have utilized ChatGPT. Using semi-structured interviews grounded theory methodology, we aim comprehensively understand extent which embrace new technologies. Our objective elucidate behavioral inclinations findings this will contribute practical refining policy frameworks, expanding dissemination quality resources, optimizing upgrading products an enhanced user experience, fostering higher-order thinking skills adeptly navigate evolving technological landscapes. In conclusion, endeavors bridge gap between discussions applications.

Language: Английский

Citations

7

A Critical Review of Teaching and Learning Artificial Intelligence (AI) Literacy: Developing an Intelligence-based AI Literacy Framework for Primary School Education DOI Creative Commons
Iris Heung Yue Yim

Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: unknown, P. 100319 - 100319

Published: Oct. 1, 2024

Language: Английский

Citations

7

Generative AI and Higher Education: Trends, Challenges, and Future Directions from a Systematic Literature Review DOI Creative Commons
Jo�ão Batista, Anabela Mesquita, Gonçalo Carnaz

et al.

Information, Journal Year: 2024, Volume and Issue: 15(11), P. 676 - 676

Published: Oct. 28, 2024

(1) Background: The development of generative artificial intelligence (GAI) is transforming higher education. This systematic literature review synthesizes recent empirical studies on the use GAI, focusing its impact teaching, learning, and institutional practices. (2) Methods: Following PRISMA guidelines, a comprehensive search strategy was employed to locate scientific articles GAI in education published by Scopus Web Science between January 2023 2024. (3) Results: identified 102 articles, with 37 meeting inclusion criteria. These were grouped into three themes: application technologies, stakeholder acceptance perceptions, specific situations. (4) Discussion: Key findings include GAI’s versatility potential use, student acceptance, educational enhancement. However, challenges such as assessment practices, strategies, risks academic integrity also noted. (5) Conclusions: help identify directions for future research, including pedagogical ethical considerations policy development, teaching learning processes, perceptions students instructors, technological advancements, preparation skills workforce readiness. study has certain limitations, particularly due short time frame criteria, which might have varied if conducted different researchers.

Language: Английский

Citations

7