Teachers and AI: Understanding the factors influencing AI integration in K-12 education DOI Creative Commons
Ozan FİLİZ, Mehmet Haldun Kaya, Tufan Adıgüzel

и другие.

Education and Information Technologies, Год журнала: 2025, Номер unknown

Опубликована: Март 20, 2025

Язык: Английский

Evolution to revolution: Critical exploration of educators’ perceptions of the impact of Artificial Intelligence (AI) on the teaching and learning process in the GCC region DOI
Shakhnoza Shamsuddinova,

Poonam Heryani,

Mark Anthony Naval

и другие.

International Journal of Educational Research, Год журнала: 2024, Номер 125, С. 102326 - 102326

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

8

Dyscalculia and dyslexia in school-aged children: comorbidity, support, and future prospects DOI Creative Commons

Weifeng Han

Frontiers in Education, Год журнала: 2025, Номер 10

Опубликована: Янв. 24, 2025

The comorbidity of dyscalculia and dyslexia represents a significant challenge in education, affecting considerable number school-aged children globally. This Mini Review synthesizes literature from the last decade (2015–2024) to provide an updated perspective on prevalence, etiology, educational implications these co-occurring learning differences. Despite recent advancements screening, diagnostic, intervention tools, gaps remain addressing unique needs facing both dyslexia. review highlights limitations current research, particularly scarcity studies focused culturally linguistically diverse (CALD) populations socio-economic disparities explores urgent need for more comprehensive, integrated approaches. Future directions include leveraging technological innovations, fostering interdisciplinary collaborations, adopting neurodiversity-based models support affected learners effectively. Addressing can foster inclusive environment improve outcomes navigating complexities

Язык: Английский

Процитировано

1

Revolutionizing Education with Artificial Intelligence (AI)? Challenges, and Implications for Open and Distance Learning (ODL) DOI Creative Commons
Mohd Rushidi bin Mohd Amin,

Ismaanzira Ismail,

Vinesh Maran Sivakumaran

и другие.

Social Sciences & Humanities Open, Год журнала: 2025, Номер 11, С. 101308 - 101308

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

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

Evaluating the Potential of Artificial Intelligence in Islamic Religious Education DOI
Mussa Saidi Abubakari, Wasswa Shafik, Ahmad Fathan Hidayatullah

и другие.

Advances in educational technologies and instructional design book series, Год журнала: 2024, Номер unknown, С. 216 - 239

Опубликована: Апрель 22, 2024

Artificial intelligence (AI) has become enormously prominent in various industries recent years, completely changing the way humans accomplish their daily activities, especially educational process. While integrating AI technologies settings might present new potential, there are drawbacks and challenges as well, particularly Islamic religious context. Therefore, purpose of this chapter is to assess viability incorporating into by doing a thorough SWOT (strengths, weaknesses, opportunities, threats) analysis. The explores benefits, drawbacks, risks implementing context education. Thus, factors, both internal external, that may have an impact on effective integration environments evaluated. Policymakers, educators, other stakeholders make well-informed judgments utilization education recognizing these analytical aspects.

Язык: Английский

Процитировано

7

Integrating AI and Machine Learning in STEM education: Challenges and opportunities DOI Creative Commons

Olatunbosun Bartholomew Joseph,

Nwankwo Charles Uzondu

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(8), С. 1732 - 1750

Опубликована: Авг. 3, 2024

This study investigates the integration of Artificial Intelligence (AI) and Machine Learning (ML) in STEM education, emphasizing transformative potential inherent challenges these technologies. The purpose this research is to provide a thorough understanding how AI ML can enhance educational outcomes, personalize learning experiences address critical issues within fields. Utilizing comprehensive review current literature, examines state identifies key ethical considerations explores future trends directions. Key findings reveal that significantly contribute personalized learning, adaptive teaching strategies, increased student engagement. However, such as data privacy concerns, dilemmas necessity for extensive educator training infrastructure investment are prominent. underscores importance developing frameworks guidelines ensure responsible use, mitigate biases promote transparency. conclusions drawn from highlight need collaboration among educators, technology developers, policymakers researchers fully leverage ML. Recommendations include investing professional development ensuring equitable access tools fostering international cooperation share best practices innovative solutions. Further, ongoing into practical implications technologies essential their successful education. elucidates profound opportunities present transforming education calls strategic, ethical, collaborative approach overcome existing practices. Keywords: Intelligence, Learning, Education, Personalized Ethical AI, Educational Technology.

Язык: Английский

Процитировано

7

Technology Integration in Educational Management: Its Impact on Community Participation DOI Creative Commons

David Kurniawan,

Yulian Purnama,

Siminto Siminto

и другие.

Deleted Journal, Год журнала: 2024, Номер 1(1), С. 10 - 20

Опубликована: Янв. 22, 2024

Education has undergone a paradigm shift from conventional approaches towards the integration of technology as an integral part learning process. This transformation aims to enhance effectiveness and efficiency while preparing students face increasingly complex global challenges. The objective this research is analyze in educational management its impact on community participation. study employs qualitative literature review method with focus data collection Google Scholar for period 2012-2023. study's findings indicate that brought about fundamental changes field education, not only administrative aspects but also involvement. created ecosystem more inclusive, flexible, responsive needs community. Increased accessibility, parental involvement, student participation, development digital skills serve evidence these have significant positive impact.

Язык: Английский

Процитировано

6

MHD mixed convection of nanofluid flow Ag- Mgo/water in a channel contain a rotational cylinder DOI Creative Commons
Falah A. Abood,

Zainab K. Radhi,

Ali K. Hadi

и другие.

International Journal of Thermofluids, Год журнала: 2024, Номер 22, С. 100713 - 100713

Опубликована: Май 1, 2024

This investigation explores the mixed convection phenomenon of a hybrid nanofluid flowing within Channel oriented horizontally featuring triangular cavity attached to lower channel wall. The houses rotating circular cylinder with radius R=0.12. fluid enclosure is water-based containing Ag-MgO nanoparticles. Two scenarios combined natural and forced are examined: in Case 1, all walls, left wall cavity, surface adiabatic, while inclined isothermal. In 2, ready except for which dimensionless governing equations solved under steady flow conditions various physical parameters using higher-order stable Galerkin-based finite element method implemented through software package FlexPDE. Key such as Re number (falling amplitude 10 100), Ri (ranging from Ri=0.1 30), location rotation (Xo = 0.65 0.9) simulated. study presents results terms average Nusselt numbers contour maps streamlines isotherms. It observed that increases higher Reynolds number, angular speed, location, Richardson number. Specifically, heating suggests optimal Xo 0.9, whereas if heated, preferred 0.75. These findings corroborated by comparing them previous research, demonstrating significant agreement.

Язык: Английский

Процитировано

5

AI for academic success: investigating the role of usability, enjoyment, and responsiveness in ChatGPT adoption DOI
Minseong Kim, Jihye Kim, Tami L. Knotts

и другие.

Education and Information Technologies, Год журнала: 2025, Номер unknown

Опубликована: Янв. 28, 2025

Язык: Английский

Процитировано

0

Chain Mediation Effect of Learning Satisfaction on Achievement Perception in Adult Online Education DOI
Guoqiang Pan,

Kaikai Xu,

Hui Nie

и другие.

Adult Education Quarterly, Год журнала: 2025, Номер unknown

Опубликована: Фев. 17, 2025

Previous studies have not adequately explored the complex relationship between learning satisfaction and perceived achievement in adult online education. This study explores chain mediating effect of instructional service quality engagement on perception among learners Data from 8,119 questionnaires were analyzed using structural equation modeling. Results indicate positive correlations satisfaction, quality, learning. Both mediate achievement. Enhancing improves both for learners. Increased corresponds to higher achievements. These findings provide theoretical insights engagement, education, offering strong support development opportunities education practices.

Язык: Английский

Процитировано

0