Embracing or rejecting AI? A mixed-method study on undergraduate students’ perceptions of artificial intelligence at a private university in China DOI Creative Commons
Yifu Li, Nilo Jayoma Castulo, Xiaoyuan Xu

et al.

Frontiers in Education, Journal Year: 2025, Volume and Issue: 10

Published: Feb. 21, 2025

The rise of artificial intelligence (AI), particularly ChatGPT, has transformed educational landscapes globally. Moreover, the Beijing Consensus on Artificial Intelligence and Education ‘Pact for Future’ propose that AI can support UNESCO in achieving development goals, especially focusing SDG 4, which emphasizes quality education. Thus, this study investigates undergraduate students’ familiarity with attitudes toward tools, as well their perceived risks benefits using tools at a private university China. An explanatory sequential mixed-method design was employed an online survey 167 students, followed by qualitative analysis open-ended responses. Data were analyzed one-sample Wilcoxon signed-rank test thematic analysis, supported SPSS ATLAS.ti 25. findings revealed students demonstrated moderate ChatGPT willingness to use them coursework. Positive AI’s value education evident, although concerns such dependence reduced independent thinking, algorithmic bias ethical concerns, accuracy information quality, data security, privacy observed among students. generally viewed positively integration inevitable becoming common academic settings. Students concerned misuse teachers minimal trusted effectively teaching. also benefits, personalized learning, efficiency convenience, career skill development, learning. This contributes discourse higher highlighting nuanced perceptions balancing potential risks. limited small sample size institution. Future research should explore diverse contexts develop comprehensive implementation frameworks

Language: Английский

Advancing SDG 4: Harnessing Generative AI to Transform Learning, Teaching, and Educational Equity in Higher Education DOI
Vengalarao Pachava, Olusiji Adebola Lasekan,

Claudia Myrna Méndez-Alarcón

et al.

Journal of Lifestyle and SDGs Review, Journal Year: 2025, Volume and Issue: 5(2), P. e03774 - e03774

Published: Jan. 7, 2025

Objective: The objective of this study is to investigate the transformative potential generative AI in advancing Sustainable Development Goal 4 (SDG 4), with aim enhancing equity, accessibility, and quality higher education through integration AI-driven systems practices. Theoretical Framework: This research underpinned by Academic Convergence (AIAC) Framework, which aligns theories such as constructivism, Vygotsky’s cultural-historical theory, Bloom’s Taxonomy. These frameworks provide a solid basis for understanding interplay between personalized learning, cognitive engagement, stakeholder collaboration, ethical governance educational ecosystems. Method: methodology adopted comprises Literature-Driven Conceptual Framework approach, synthesizing peer-reviewed studies across key themes: operational efficiency, collaborative governance. Data collection involved systematic literature reviews scholarly articles, books, conference proceedings within past decade. Results Discussion: results reveal that AIAC promotes tailored, adaptive learning pathways, enhances faculty roles AI-enabled mentors, optimizes administrative workflows predictive analytics. discussion contextualizes these findings existing theories, emphasizing framework's ability mitigate challenges algorithmic bias, equity gaps, data privacy concerns. Limitations include need empirical validation addressing resource disparities underprivileged contexts. Research Implications: practical theoretical implications are significant institutions, policymakers, practitioners. fostering innovative teaching practices, equitable access AI-enhanced tools, aligning strategies labor market demands analytics Originality/Value: contributes introducing an scalable model integrating into education. Its value lies bridging digital divide, lifelong positioning institutions leaders sustainable integration, ultimately mission SDG 4.

Language: Английский

Citations

0
English-as-a-Foreign Language University Instructors' Perceptions of Integrating Artificial Intelligence: A Turkish Perspective DOI
Sezen Arslan

System, Journal Year: 2025, Volume and Issue: unknown, P. 103680 - 103680

Published: April 1, 2025

Language: Английский

Citations

0
Embracing or rejecting AI? A mixed-method study on undergraduate students’ perceptions of artificial intelligence at a private university in China DOI Creative Commons
Yifu Li, Nilo Jayoma Castulo, Xiaoyuan Xu

et al.

Frontiers in Education, Journal Year: 2025, Volume and Issue: 10

Published: Feb. 21, 2025

The rise of artificial intelligence (AI), particularly ChatGPT, has transformed educational landscapes globally. Moreover, the Beijing Consensus on Artificial Intelligence and Education ‘Pact for Future’ propose that AI can support UNESCO in achieving development goals, especially focusing SDG 4, which emphasizes quality education. Thus, this study investigates undergraduate students’ familiarity with attitudes toward tools, as well their perceived risks benefits using tools at a private university China. An explanatory sequential mixed-method design was employed an online survey 167 students, followed by qualitative analysis open-ended responses. Data were analyzed one-sample Wilcoxon signed-rank test thematic analysis, supported SPSS ATLAS.ti 25. findings revealed students demonstrated moderate ChatGPT willingness to use them coursework. Positive AI’s value education evident, although concerns such dependence reduced independent thinking, algorithmic bias ethical concerns, accuracy information quality, data security, privacy observed among students. generally viewed positively integration inevitable becoming common academic settings. Students concerned misuse teachers minimal trusted effectively teaching. also benefits, personalized learning, efficiency convenience, career skill development, learning. This contributes discourse higher highlighting nuanced perceptions balancing potential risks. limited small sample size institution. Future research should explore diverse contexts develop comprehensive implementation frameworks

Language: Английский

Citations

0