Automated Evaluation Techniques and AI-Enhanced Methods DOI
Sajeel Ahmed,

Abira Zaki,

Yongmei Bentley

et al.

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 27

Published: April 19, 2024

The chapter explores the transformative potential of artificial intelligence (AI) in reshaping assessment, grading, and feedback processes higher education. They cover real-time mechanisms, AI-driven practices, evaluation AI-based assessments, promoting a more equitable, student-centered learning environment. AI is revolutionizing education by providing personalized grading criteria, analyzing student data, adjusting assessment criteria to accommodate diverse styles. This approach promotes engagement, fairness, equity, enabling educators tailor teaching strategies address gaps. emphasizes faculty training enhanced methods.

Language: Английский

Advancing Education Through Extended Reality and Internet of Everything Enabled Metaverses: Applications, Challenges, and Open Issues DOI Creative Commons

Senthil Kumar Jagatheesaperumal,

Kashif Ahmad, Ala Al‐Fuqaha

et al.

IEEE Transactions on Learning Technologies, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 20

Published: Jan. 1, 2024

Metaverse has evolved as one of the popular research agendas that let users learn, socialize, and collaborate in a networked three-dimensional (3D) immersive virtual world. Due to rich multimedia streaming capability user experience with high-speed communication, metaverse is an ideal model for education, training, skill development tasks. To facilitate this area, we provide comprehensive review various educational use cases explore how enabling technologies such Extended reality (XR) Internet Everything (IoE) will play major role services future metaverses. Secondly, overview metaverse-based applications focusing on analyze they are built upon. We identify common problems directions domain. The paper also identifies core ethical considerations education potential pitfalls. believe survey can fully demonstrate versatility metaverse-driven which could serve guideline researchers.

Language: Английский

Citations

51

The Future of Education: A Multi-Layered Metaverse Classroom Model for Immersive and Inclusive Learning DOI Creative Commons
Leyli Nouraei Yeganeh, Nicole S. Fenty, Yu Chen

et al.

Future Internet, Journal Year: 2025, Volume and Issue: 17(2), P. 63 - 63

Published: Feb. 4, 2025

Modern education faces persistent challenges, including disengagement, inequitable access to learning resources, and the lack of personalized instruction, particularly in virtual environments. In this perspective, we envision a transformative Metaverse classroom model, Multi-layered Immersive Learning Environment (Meta-MILE) address these critical issues. The Meta-MILE framework integrates essential components such as immersive infrastructure, interactions, social collaboration, advanced assessment techniques enhance student engagement inclusivity. By leveraging three-dimensional (3D) environments, artificial intelligence (AI)-driven personalization, gamified pathways, scenario-based evaluations, model offers tailored experiences that traditional classrooms often struggle achieve. Acknowledging potential challenges accessibility, infrastructure demands, data security, study proposed practical strategies ensure equitable safe interactions within Metaverse. Empirical findings from our pilot experiment demonstrated framework’s effectiveness improving skill acquisition, with broader implications for educational policy competency-based, experiential approaches. Looking ahead, advocate ongoing research validate long-term outcomes technological advancements make more accessible secure. Our perspective underscores shaping inclusive, future-ready environments capable meeting diverse needs learners worldwide.

Language: Английский

Citations

3

Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey DOI Open Access
Mohamed S. Abdalzaher, Moez Krichen,

Derya Yiltas-Kaplan

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(15), P. 11713 - 11713

Published: July 28, 2023

Earthquake early warning systems (EEWS) are crucial for saving lives in earthquake-prone areas. In this study, we explore the potential of IoT and cloud infrastructure realizing a sustainable EEWS that is capable providing to people coordinating disaster response efforts. To achieve goal, provide an overview fundamental concepts seismic waves associated signal processing. We then present detailed discussion IoT-enabled EEWS, including use networks track actions taken by various organizations gather data, analyze it, send alarms when necessary. Furthermore, taxonomy emerging approaches using facilities, which includes integration advanced technologies such as machine learning (ML) algorithms, distributed computing, edge computing. also elaborate on generic architecture efficient highlight importance considering sustainability design systems. Additionally, discuss role drones management their enhance effectiveness EEWS. summary primary verification validation methods required under consideration. addition contributions mentioned above, study highlights implications earthquake detection management. Our research involved comprehensive survey existing literature infrastructure. conducted thorough analysis facilities findings suggest can significantly improve speed efforts, thereby reducing economic impact earthquakes. Finally, identify gaps domain future directions toward achieving Overall, provides valuable insights into emphasizes designing

Language: Английский

Citations

37

The Role of Artificial Intelligence in Shaping the Future of Education: Opportunities and Challenges DOI Creative Commons
Оксана Іванашко, Алла Козак, Tetiana Knysh

et al.

Futurity Education, Journal Year: 2024, Volume and Issue: unknown, P. 126 - 146

Published: Feb. 13, 2024

Artificial intelligence has become a booming technology whereas it brings numerous positive changes within the educational process. The aim of research is to describe role artificial in education through analysis its opportunities and challenges. study involved integration qualitative (interviews, focus groups, classroom observations) quantitative methods (survey statistical analysis). All procedures were organized according ethical standards for data collection analysis. Over 50 recent scientific works selected analyze problem from different perspectives present comprehensive overview. 56 participants representing instructors institutions higher Ukraine. inclusion criteria based on subject specialization, institution type, curriculum accreditation, experience with technologies. It was found that impacts include personalized adaptive learning, automated administrative tasks, enhanced support, e-learning facilitation, inclusivity, data-driven decision making, gamification, increased engagement, behaviour predictive analytics, improved assessment. challenges concerned privacy, security, bias, lack understanding, transparency, necessity additional training. findings showed implementation intelligent tutoring systems, content creation Virtual Reality, chatbots can shape process effectively future modernize specialists’ results be used increase awareness using tools.

Language: Английский

Citations

14

Immersive Technologies DOI
James Hutson, Piper Hutson

Published: Jan. 1, 2024

This chapter explores the potential of immersive technologies, including adaptive extended reality, avatars, digital twins, and wearable devices, in transforming visitor experience engagement with cultural heritage institutions. It aims to demonstrate how these cutting-edge technologies can be harnessed create more accessible, inclusive, engaging experiences for diverse audiences. The discussion begins an overview highlighting its ability immersive, interactive, customizable environments that cater each visitor's unique needs. Case studies reality projects contexts showcase transformative potential. then use avatars contexts, discussing design implementation avatar-based enable visitors interact virtual characters representing historical figures or guides. Through case studies, emphasizes learning heritage. further delves into twin technology, explaining replicas physical assets enhance by providing manipulable simulations. Examples illustrate technology's accessible experiences. Lastly, examines technology covering device-based journey through augmented navigation assistance, sensory feedback. highlight nature projects. By leveraging institutions captivate engage

Language: Английский

Citations

10

Research Trends in the Use of the Internet of Things in Sustainability Practices: A Systematic Review DOI Open Access
Alejandro Valencia-Arías, Juana Ramírez Dávila, Wilmer Londoño-Celis

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(7), P. 2663 - 2663

Published: March 24, 2024

This article discusses the role of technological advancements, particularly in IoT domain, promoting economic, productive, and social development context environmental sustainability. The research focuses on identifying specific trends application these systems for sustainable practices through a bibliometric analysis using PRISMA. text presents an evaluation global scientific productivity, highlighting significant contributions countries such as China United States. It also emphasizes India’s prominent efficiency agri-food supply chain. study further examines thematic evolution, keyword networks, their co-occurrence, well relationship between validity frequency. proposes agenda that concludes exponential growth cities since 2016. energy efficiency, cloud computing, big data. Additionally, identifies smart sensor usage, along with creation new decentralized priority areas will remain relevant future. importance security privacy areas.

Language: Английский

Citations

8

The effectiveness of artificial intelligence on English language learning achievement DOI
Tianyuan Xu, Huang Wang

System, Journal Year: 2024, Volume and Issue: 125, P. 103428 - 103428

Published: Aug. 7, 2024

Language: Английский

Citations

8

Advancing Sustainable Learning by Boosting Student Self-regulated Learning and Feedback Through AI-Driven Personalized in EFL Education DOI

Muthmainnah Muthmainnah,

Luís Cardoso,

Yasir Ahmed Mohammed Ridha Alsbbagh

et al.

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 36 - 54

Published: Jan. 1, 2024

Language: Английский

Citations

6

Innovative Approaches in Hotel Management: Integrating Artificial Intelligence (AI) and the Internet of Things (IoT) to Enhance Operational Efficiency and Sustainability DOI Open Access
Tamara Gajić, Marko D. Petrović, Ana Milanović Pešić

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(17), P. 7279 - 7279

Published: Aug. 24, 2024

The integration of artificial intelligence (AI) and the internet things (IoT) is bringing revolutionary changes to hospitality industry, enabling advancement sustainable practices. This research, conducted using a quantitative methodology through surveys hotel managers in Republic Serbia, examines perceived contribution AI IoT technologies operational efficiency business sustainability. Data analysis structural equation modeling (SEM) has determined that significantly improve efficiency, which positively impacts results indicate these not only optimizes resource management but also contributes achieving global sustainability goals, including reducing carbon footprint preserving environment. study provides empirical evidence synergistic effects on sustainability, offering practical recommendations for proposing an innovative framework enhancing It highlights need future research focus long-term address challenges related data privacy implementation costs.

Language: Английский

Citations

6

Rueda de la Pedagogía para la Inteligencia Artificial: adaptación de la Rueda de Carrington DOI Creative Commons
Eva Jiménez García, Natalia Orenes-Martínez, Luis Antonio López Fraile

et al.

RIED Revista Iberoamericana de Educación a Distancia, Journal Year: 2023, Volume and Issue: 27(1), P. 87 - 113

Published: Sept. 21, 2023

La integración efectiva de la Inteligencia Artificial (IA) en educación es necesaria para aprovechar sus beneficios el proceso enseñanza-aprendizaje. Este artículo propone adaptación Rueda Pedagogía Carrington a una IA, con fin ofrecer un marco pedagógico integrar IA educación. metodología investigación utilizada se basa revisión y mapeo sistemático junto estudio bibliométrico del análisis co-ocurrencia términos identificar los clusters temáticos relevantes que respalden científicamente necesidad Rueda. nueva rueda atiende cuatro obtenidos (Integración mejorar educación, Uso tecnologías educativa enseñanza aprendizaje, Diseño e innovación pedagógica Educación Sostenible Ética) presenta anillos concéntricos explican cómo incorporar gradualmente diferentes niveles cognitivos (Taxonomía Bloom) tecnológica (Modelo SAMR) ambos adaptados ejemplos herramientas aplicaciones. Además, incluye nivel Reflexivo-Metacognitivo aborda ética responsabilidad uso IA. En conclusión, adaptada opción viable eficacia eficiencia condición docentes participen planificación ejecución aprendizaje garantizar su éxito. Cabe mencionar importancia mantener actualizada debido aparición constante nuevas

Citations

13