Exploring Greek Students’ Attitudes Toward Artificial Intelligence: Relationships with AI Ethics, Media, and Digital Literacy DOI Creative Commons

Asimina Saklaki,

Antonis Gardikiotis

Societies, Год журнала: 2024, Номер 14(12), С. 248 - 248

Опубликована: Ноя. 23, 2024

This exploratory study (N = 310) investigates the relationship between students’ attitudes toward artificial intelligence (AI), their AI ethics, and media digital literacy levels. study’s specific objectives were to examine (a) general AI, (b) (c) two, (d) whether are associated with literacy. Participants, drawn from a convenience sample of university students, completed an online survey including four scales: attitude scale (including two subscales, positive negative attitudes), ethics accountable non-accountable use), scale, alongside demographic information. The findings revealed that students held moderate strong favoring use. Interestingly, was positively related use negatively whereas attitudes, AI. These carry significant theoretical implications by highlighting unique distinct literacies (digital media) attitudes. They also offer practical insights for educators, technology designers, administrators, emphasizing need address ethical considerations in deployment.

Язык: Английский

How AI‐Enhanced Social–Emotional Learning Framework Transforms EFL Students' Engagement and Emotional Well‐Being DOI Open Access

Yue Zong,

Lei Yang

European Journal of Education, Год журнала: 2025, Номер 60(1)

Опубликована: Янв. 12, 2025

ABSTRACT This study explores the transformative role of AI‐enhanced social–emotional learning (SEL) frameworks in improving engagement and emotional well‐being English as a foreign language (EFL) students China. A survey was conducted among 816 undergraduate postgraduate from universities across five provinces, utilising convenience sampling. The research focused on how AI tools integrated into contribute to student stability. Data were analysed using SPSS for descriptive regression analyses AMOS structural equation modelling. findings highlight that SEL significantly boosts well‐being. By providing tailored experiences based students' cognitive needs, systems facilitate better regulation, increased focus improved academic performance. results suggest offer personalised support not only enhances outcomes but also creates more emotionally supportive environment, contributing overall success

Язык: Английский

Процитировано

2
Deployment of Generative AI in Academic Research among Higher Education Students: A Bibliometric Approach DOI Open Access

Abubakar Barikisu Omeneke,

Safukova N.N.,

Anifowose Olufemi Oriola

и другие.

International Journal of Academic Research in Business and Social Sciences, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 14, 2025

This study investigates the role and impact of generative artificial intelligence (AI) in academic research using a comprehensive bibliometric approach. A dataset 515 documents, retrieved from Scopus database spanning 2017 to 2025, was analyzed various tools, including Vosviewer, Excel, Biblioshiny, R Studio. The search string ("Generative AI AND research") guided systematic exploration literature. analysis reveals significant increase scholarly attention toward AI, highlighting its transformative potential across disciplines. Vosviewer facilitated network visualization, identifying key thematic clusters collaboration patterns among authors, institutions, countries. Excel provided detailed trend analysis, illustrating growth trajectory publication dynamics over specified period. Biblioshiny Studio enabled deeper insights into citation patterns, evolution, hotspots. Consequently, this identifies trends within 2025 analysis. It explores how technologies, such as ChatGPT, have influenced interdisciplinary methodologies Social Sciences, Computer Science, Engineering. Additionally, it examines countries research, opportunities foster global innovation while addressing ethical concerns algorithmic biases. Key findings suggest that has become pivotal tool advancing methodologies, fostering innovation, enhancing productivity. However, also challenges concerns, biases, need for sustainable practices leveraging AI-driven technologies. contributed growing body knowledge on academia by offering overview future directions. serves valuable resource scholars practitioners aiming understand harness capabilities research.

Язык: Английский

Процитировано

0
Artificial intelligence in higher education institutions: review of innovations, opportunities and challenges DOI Creative Commons

Samuel Ocen,

Joseph Elasu, Sylvia Manjeri Aarakit

и другие.

Frontiers in Education, Год журнала: 2025, Номер 10

Опубликована: Март 3, 2025

Artificial intelligence is revolutionizing industries including institutions of higher learning as it enhances teaching and processes, streamline administrative tasks drive innovations. Despite the unprecedented opportunities, AI tools if not used correctly, can be challenging in education institutions. The purpose this study was to comprehensively review innovations, opportunities challenges associated with use Education learning. A systematic literature methodology adopted locate select existing studies, analyze synthesize evidence arrive at clear conclusion about current debate area study. Following PRISMA, analyzed a total 54 documents that met inclusion exclusion criteria set for selection documents. unveiled many enhanced research capabilities, automation among others. Intelligence are found refine different units include ethical concerns, integrity issues data fabrication issues. With notwithstanding, benefits cannot over emphasized. remains powerful tool research, tasked, personalized learning, inclusivity accessibility educational content all. Emphasis should put regulatory frameworks detailing how such while maintaining level standards required.

Язык: Английский

Процитировано

0
AI-Driven Strategy to Enhance Students' Receptive Skills DOI
Muthmainnah Muthmainnah, Besse Darmawati, Jusmianti Garing

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 121 - 156

Опубликована: Март 14, 2025

In this chapter explore the field of English language teaching has new opportunities to improve receptive skills such as listening and reading thanks emergence AI in education, which ushered a era learning modernization its curriculum. By leveraging capabilities AI-based technologies, educators can now create personalized experiences, facilitate adaptive instruction, foster autonomous development among their students.

Язык: Английский

Процитировано

0
Generational Gap in Accepting AI Integration in Korean EFL Classrooms: Comparing Pre-Service and In-Service Teachers Within Technology Acceptance Model DOI

Rakhun Kim

Modern English Education, Год журнала: 2025, Номер 26(0), С. 113 - 129

Опубликована: Янв. 15, 2025

Язык: Английский

Процитировано

0
Exploring Greek Students’ Attitudes Toward Artificial Intelligence: Relationships with AI Ethics, Media, and Digital Literacy DOI Creative Commons

Asimina Saklaki,

Antonis Gardikiotis

Societies, Год журнала: 2024, Номер 14(12), С. 248 - 248

Опубликована: Ноя. 23, 2024

This exploratory study (N = 310) investigates the relationship between students’ attitudes toward artificial intelligence (AI), their AI ethics, and media digital literacy levels. study’s specific objectives were to examine (a) general AI, (b) (c) two, (d) whether are associated with literacy. Participants, drawn from a convenience sample of university students, completed an online survey including four scales: attitude scale (including two subscales, positive negative attitudes), ethics accountable non-accountable use), scale, alongside demographic information. The findings revealed that students held moderate strong favoring use. Interestingly, was positively related use negatively whereas attitudes, AI. These carry significant theoretical implications by highlighting unique distinct literacies (digital media) attitudes. They also offer practical insights for educators, technology designers, administrators, emphasizing need address ethical considerations in deployment.

Язык: Английский

Процитировано

1