Competence of Teachers and Ethical Aspects of Implementing AI Technologies in Education DOI
Iryna Vorotnykova

Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 397 - 406

Published: Jan. 1, 2025

Language: Английский

Influence of artificial intelligence on higher education reform and talent cultivation in the digital intelligence era DOI Creative Commons
Lei Qian, Weiran Cao, Lifeng Chen

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 19, 2025

In order to solve the problems of inefficient allocation teaching resources and inaccurate recommendation learning paths in higher education, this paper proposes a smart education optimization model (SEOM) by combining improved random forest algorithm (RFA) based on adaptive enhancement mechanism Graph Neural Network (GNN) algorithm. The public data information such as national intelligent platform are collected, SEOM is trained verified. results show that has high accuracy generalization ability three different scenes: online mixed teaching, personalized project-based teaching. Root Mean Square Error (RMSE) value cross-validation between 0.2 0.5, Absolute (MAE) 0.1 0.5. shows strong stability when dealing with multidimensional educational complex modes. rate remains at 85-97%, indicating its reliability path recommendation. Further analysis chi-square freedom ratio 1.0 2.5, fitting index adjusted both above 0.85, comparative close 0.95, which rationality capturing dependence knowledge points Residual (RMR) Approximation (RMSEA) below 0.05, indicates small residual scene adaptability. addition, abnormal network environment, resource efficiency 60%, Shapley 0.4, can adapt change environment effect still obvious. Generally speaking, optimize recommend effectively improve intelligence decision-making, especially for university administrators technology developers.

Language: Английский

Citations

0

Adopting AI in education: optimizing human resource management considering teacher perceptions DOI Creative Commons
Iuliana Petronela Gârdan,

Magdalena Beatrice Manu,

Daniel Adrian Gârdan

et al.

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

Published: Feb. 19, 2025

There is an intense concern in various fields, order to quantify the most complete and explicit way impact that accelerated development of technology basis AI has on education. A very special issue this context represented by teaching methods techniques used teachers. Still, develop refine new based necessary perceptions attitudes toward general its application education become positive people be open experiences using it. The present research explores how different variables like perception towards inclusion Generative tools within materials development, degree familiarity, challenges implementation education, importance process, resilience change can influence perceived utility fostering attitude it usage intention among results are showing exerted above assessed empirical model explain teachers use effectively at levels didactic activity. Implications level human resources management also discussed.

Language: Английский

Citations

0

Application of interactive effect evaluation model in improving computer security management and teaching management DOI Creative Commons
Yan Yan, M Wu

Discover Artificial Intelligence, Journal Year: 2025, Volume and Issue: 5(1)

Published: Feb. 26, 2025

Language: Английский

Citations

0

Critical Thinking as a Key to Competence Building in Sustainable Development DOI
Roland Zarzycki

World sustainability series, Journal Year: 2025, Volume and Issue: unknown, P. 357 - 377

Published: Jan. 1, 2025

Language: Английский

Citations

0

Competence of Teachers and Ethical Aspects of Implementing AI Technologies in Education DOI
Iryna Vorotnykova

Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 397 - 406

Published: Jan. 1, 2025

Language: Английский

Citations

0