Educational Data Mining and Predictive Modeling in the Age of Artificial Intelligence: An In-Depth Analysis of Research Dynamics DOI Creative Commons
Eloy López Menéses, Pedro C. Mellado-Moreno,

Celia Gallardo Herrerías

et al.

Computers, Journal Year: 2025, Volume and Issue: 14(2), P. 68 - 68

Published: Feb. 14, 2025

This article provides a comprehensive analysis of the research dynamics on use Educational Data Mining (EDM) and predictive modeling (PM) in era Artificial Intelligence (AI) based review 793 articles published between 2000 2024 Scopus database. The study employs bibliometric systematic literature to identify emerging trends, methodologies, applications these fields. main objective is examine primary methodologies innovations within AI, especially context EDM PM. It highlights how technologies can optimize prediction student performance, support personalized learning, enable timely interventions through data. also examines role AI improving teaching practices, ensuring that educators maintain control over system minimize potential biases. Furthermore, addresses ethical implications implementation education, such as privacy protection, algorithm transparency, equity access learning. findings suggest has significantly improve educational outcomes tracking, resource allocation, overall effectiveness institutions. responsible education emphasized ensure inclusive fair environments for all students.

Language: Английский

Comparing the effects of ChatGPT and automated writing evaluation on students’ writing and ideal L2 writing self DOI Creative Commons
Huawei Shi, Ching Sing Chai, Sihan Zhou

et al.

Computer Assisted Language Learning, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 28

Published: Feb. 3, 2025

Language: Английский

Citations

0
Guest editorial: AI in education: transforming teaching and learning DOI Creative Commons
Dania Bilal,

Jiangen He,

J Liu

et al.

Information and Learning Sciences, Journal Year: 2025, Volume and Issue: 126(1/2), P. 1 - 7

Published: Feb. 5, 2025

Language: Английский

Citations

0
ChatGPT in Education: The Influence of Institutional Support and Peer Dynamics in Indonesian Higher Education DOI
Ervina CM Simatupang,

Ismail Ismail,

Budi Waluyo

et al.

Internet Reference Services Quarterly, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 20

Published: Feb. 13, 2025

This study investigates the influence of institutional support and peer dynamics in adopting ChatGPT Indonesian higher education. Narrative reflections from 44 lecturers across 15 provinces, analyzed through thematic analysis, reveal that strong enhances creative effective use ChatGPT, while inadequate resources hinder its adoption. Peer collaboration fosters positive attitudes integration, whereas absence leads to skepticism. The findings highlight critical need for robust policies supportive academic communities maximize educational potential generative AI tools such as ChatGPT.

Language: Английский

Citations

0
Implementing AI to Improve Educational Equity and Outcomes in a Rural School District DOI
Ketan Sarvakar,

Dolly Prajapati

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 457 - 480

Published: Feb. 13, 2025

This chapter, as outlined by the authors, investigates use of artificial intelligence (AI) in rural school districts to enhance operational efficiency and educational outcomes. Through a survey-based approach, chapter evaluates AI adoption its effects various contexts, focusing on schools' specific challenges, such limited resources technological infrastructure. Findings reveal that can offer personalized learning, boost student engagement, streamline administrative tasks, thereby supporting better learning environment despite resource constraints. The study highlights ongoing obstacles, inadequate infrastructure need for specialized teacher training. Proposed solutions include targeted investments, comprehensive training programs, policy measures promote education. By providing insights into AI's benefits, this aims guide policymakers, educators, stakeholders effectively leveraging improve equity outcomes underserved communities.

Language: Английский

Citations

0
Educational Data Mining and Predictive Modeling in the Age of Artificial Intelligence: An In-Depth Analysis of Research Dynamics DOI Creative Commons
Eloy López Menéses, Pedro C. Mellado-Moreno,

Celia Gallardo Herrerías

et al.

Computers, Journal Year: 2025, Volume and Issue: 14(2), P. 68 - 68

Published: Feb. 14, 2025

This article provides a comprehensive analysis of the research dynamics on use Educational Data Mining (EDM) and predictive modeling (PM) in era Artificial Intelligence (AI) based review 793 articles published between 2000 2024 Scopus database. The study employs bibliometric systematic literature to identify emerging trends, methodologies, applications these fields. main objective is examine primary methodologies innovations within AI, especially context EDM PM. It highlights how technologies can optimize prediction student performance, support personalized learning, enable timely interventions through data. also examines role AI improving teaching practices, ensuring that educators maintain control over system minimize potential biases. Furthermore, addresses ethical implications implementation education, such as privacy protection, algorithm transparency, equity access learning. findings suggest has significantly improve educational outcomes tracking, resource allocation, overall effectiveness institutions. responsible education emphasized ensure inclusive fair environments for all students.

Language: Английский

Citations

0