Global and Domestic Perspectives on AI in Education: A Knowledge Mapping Analysis Using CiteSpace DOI
Shengwu Pan, QiXiang Zeng, Mingjiang Li

и другие.

Опубликована: Дек. 27, 2024

Язык: Английский

Transforming education through artificial intelligence and immersive technologies: enhancing learning experiences DOI
Dan Wang,

Xi Guang Huang

Interactive Learning Environments, Год журнала: 2025, Номер unknown, С. 1 - 20

Опубликована: Фев. 17, 2025

Язык: Английский

Процитировано

1

Teacher well-being and use of artificial intelligence applications and tools: Moderation effects of leadership support in inclusive classroom DOI Creative Commons
Samah Hatem Almaki, Nofouz Mafarja,

Hamama Mubarak Saif Al Mansoori

и другие.

STEM Education, Год журнала: 2025, Номер 5(1), С. 109 - 129

Опубликована: Янв. 1, 2025

<p>Integrating artificial intelligence (AI) into primary inclusive classrooms can significantly enhance teacher well-being by streamlining tasks, preventing burnout, fostering collaboration, and supporting diverse learning needs. However, for teachers to effectively use AI, they need recognize its relevance, engage with benefits, promote their own well-being. The goal of this study is examine the moderator effect leadership support on adoption AI applications tools psychological in our hypothesized research model. To address purpose, a quantitative methodology structural equation modeling was utilized. Data retrieved through an online questionnaire from 342 teachers, most being regular users. Our findings indicate that extensive linked engagement, relationships, accomplishment but not positive emotions or meaning. Surprisingly, school negatively moderates factors outcomes, except accomplishment, which remained effective. Leadership appeared less crucial promoting enhancing emerged as critical factor tool Professional programs should incorporate impact AI-based educational well-being, emphasizing key role adoption. Additionally, these offer opportunities sharing best practices effective integration settings.</p>

Язык: Английский

Процитировано

0

Generative artificial intelligence in higher education learning: A review based on academic databases DOI Open Access
Daniel Andrade-Girón, William Joel Marín Rodriguez, Juana Sandivar

и другие.

Iberoamerican Journal of Science Measurement and Communication, Год журнала: 2024, Номер 4(1), С. 1 - 16

Опубликована: Апрель 5, 2024

Objective. The rapid integration of Generative Artificial Intelligence (AI), especially tools like ChatGPT, into educational sectors has spurred significant academic interest. This review article provides a systematic examination the current scholarly landscape concerning use ChatGPT within higher education. Design/Methodology/Approach. Drawing from range databases between 2022 and 2024, we meticulously adhere to PRISMA guidelines, evaluating final set 28 out 1740 initial articles based on predetermined inclusion exclusion criteria. Results/Discussion. Our analysis reveals diverse global contributions predominantly Asia identifies prevalent quantitative research approach among studies. We delve selected articles' geographical distribution, methodologies, thematic outcomes, highlighting notable lack Latin America. critically assesses validity, utility, time optimization aspects in settings, uncovering positive impact student learning management. However, pinpoint gap rigorous experimental research, underscoring need for studies with random sampling controlled settings enhance external validity findings. Additionally, call attention ethical considerations necessity education institutions adapt teaching methodologies incorporate AI effectively. Conclusion. concludes recommendations future address identified gaps optimize generative technologies ChatGPT.

Язык: Английский

Процитировано

4

Faculty acceptance and use of generative artificial intelligence in their practice DOI Creative Commons
Julián Nevárez Montes, Josemaría Elizondo-García

Frontiers in Education, Год журнала: 2025, Номер 10

Опубликована: Фев. 3, 2025

The effective integration of Generative Artificial Intelligence (GenAI) into educational practices holds promise for enhancing teaching and learning processes. Examining faculty acceptance use GenAI implementation can provide valuable insights the conditions necessary its successful application. This study consisted a survey to measure in practice 208 members at private university Mexico. instrument used integrates elements Technology Acceptance Model (TAM) Theory Reasoned Action (TRA). original questionnaire was translated Spanish validated by experts ensure reliability validity new context. Overall, dimensions obtained middle-high results. Behavioral intention highest values whereas Subjective norm lowest values. Significant differences regarding disciplines sociodemographics were not identified. Also, is positively moderate correlated with produce text. identified level among toward environments leads expect promising future practices. In addition, further research on student impact training settings are encouraged.

Язык: Английский

Процитировано

0

AI-based assessment of students’ writing skill progress: Implementing “Artificial neural network modeling” vs. “Time series prediction” DOI

Fatemeh Etaat

International Journal of Educational Research, Год журнала: 2025, Номер 131, С. 102575 - 102575

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Student Teachers’ Leveraging GenAI Tools for Academic Writing, Design, and Prompting in an ODeL Course DOI Creative Commons
Micheal M. van Wyk

Open Praxis, Год журнала: 2025, Номер 17(1), С. 95 - 107

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Metaverse: an Educational Tool in Business Science Programs DOI
Carolina Vargas Vanegas, Jorge Mario Moreno Sánchez

Revista de Gestão Social e Ambiental, Год журнала: 2024, Номер 18(10), С. e09045 - e09045

Опубликована: Сен. 26, 2024

Objective: This study aims to explore the perception and experience of Metaverse in educational context Business Sciences, identifying opportunities challenges its integration. Theoretical Framework: Key concepts about application education are presented, highlighting potential enhance accessibility, interactivity, collaboration learning. Method: A qualitative methodology is employed, including Likert surveys, semi-structured interviews, focus groups with students, professors, graduates, entrepreneurs. Data were analyzed through content analysis categorized for interpretation. Results Discussion: The results show a mostly positive highlight ability generate dynamic experience, but such as accessibility user quality identified. These findings discussed relation theoretical framework, indicating implications areas improvement. Research Implications: Practical integrating into business discussed, emphasizing need training improvement technological infrastructure. importance designing innovative pedagogical strategies fully leverage learning emphasized. Originality/Value: contributes literature by exploring specific context. Additionally, it underscores address technical logistical ensure successful integration provides recommendations enhancing experience.

Язык: Английский

Процитировано

1

University teachers’ beliefs about the use of generative artificial intelligence for teaching and learning DOI Creative Commons
Beatriz Cabellos, Carlos de Aldama, Juan Ignacio Pozo

и другие.

Frontiers in Psychology, Год журнала: 2024, Номер 15

Опубликована: Дек. 17, 2024

The growing presence of generative artificial intelligence (GenAI) in our society, particularly the educational field, is undeniable. This fact has led to various studies on its implications for learning and teaching. However, as with other technological resources, these will depend how teachers use GenAI. Therefore, it essential identify teachers' beliefs regarding GenAI teaching learning.

Язык: Английский

Процитировано

1

Global and Domestic Perspectives on AI in Education: A Knowledge Mapping Analysis Using CiteSpace DOI
Shengwu Pan, QiXiang Zeng, Mingjiang Li

и другие.

Опубликована: Дек. 27, 2024

Язык: Английский

Процитировано

0