Artificial Intelligence and Educational Robotics in Maker Education DOI
Γεώργιος Λαμπρόπουλος, Jesús López Belmonte, José Antonio Marín Marín

et al.

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 85 - 106

Published: Nov. 1, 2024

In maker education, students are actively engaged in the educational process through experiential learning and become co-designers co-creators of their own learning. The chapter examines role artificial intelligence robotics education. Based on results, this combination can increase student technical soft skills, improve motivation engagement, enhance creativity, higher-order thinking critical thinking. It supports personalized learning, self-regulated collaborative interest positive attitude toward science, assist teachers to interact with focus needs performance. Through feedback meaningful hands-on experiences project-based activities, acquire a deeper understanding concepts taught. Integrating into education enrich transform teaching activities support both teachers.

Language: Английский

Intelligent Virtual Reality and Augmented Reality Technologies: An Overview DOI Creative Commons
Γεώργιος Λαμπρόπουλος

Future Internet, Journal Year: 2025, Volume and Issue: 17(2), P. 58 - 58

Published: Feb. 2, 2025

The research into artificial intelligence (AI), the metaverse, and extended reality (XR) technologies, such as augmented (AR), virtual (VR), mixed (MR), has been expanding over recent years. This study aims to provide an overview regarding combination of AI with XR technologies metaverse through examination 880 articles using different approaches. field experienced a 91.29% increase in its annual growth rate, although it is still infancy, outcomes this highlight potential these be effectively combined applied various domains transforming enriching them. Through content analysis topic modeling, main topics areas which mostly being researched are follows: (1) “Education/Learning/Training”, (2) “Healthcare Medicine”, (3) “Generative intelligence/Large language models”, (4) “Virtual worlds/Virtual avatars/Virtual assistants”, (5) “Human-computer interaction”, (6) “Machine learning/Deep learning/Neural networks”, (7) “Communication (8) “Industry”, (9) “Manufacturing”, (10) “E-commerce”, (11) “Entertainment”, (12) “Smart cities”, (13) “New technologies” (e.g., digital twins, blockchain, internet things, etc.). explores documents dimensions concludes by presenting existing limitations, identifying key challenges, providing suggestions for future research.

Language: Английский

Citations

2

Digital Competence of Rural Teachers in Depopulated Regions of Spain: A Bibliometric Review DOI Creative Commons
Pablo Fernández‐Arias, María Sánchez-Jiménez, Álvaro Antón‐Sancho

et al.

European Journal of Investigation in Health Psychology and Education, Journal Year: 2025, Volume and Issue: 15(1), P. 5 - 5

Published: Jan. 7, 2025

Rural teachers have the potential to be important agents of local development. To achieve this goal, they need acquire high digital competence in order effectively integrate technology into their pedagogical practices, thus enriching learning experience students and fostering participation. Digital contributes reducing education gap between urban rural areas, promoting educational equity inclusion. High also enables address specific challenges environment, such as cultural diversity, scarce resources, low population density. Against backdrop, article presents a bibliometric review importance Spain, where problem depopulation, other regions Europe, has been accentuated recent years. The objective is both (i) find strengths weaknesses that concern researchers relation training areas (ii) express them explicitly contribute propose solutions. results reveal growing academic political attention being paid issue, highlighting for skills adapt current demands. In addition, point developing policies programs Europe well providing opportunities ongoing support ensure contexts can or strengthen competence, thereby improving quality these areas.

Language: Английский

Citations

0

Comparative analysis of machine learning models for the detection of fraudulent banking transactions DOI Creative Commons

Pedro María Preciado Martínez,

Ricardo Francisco Reier Forradellas, Luis Miguel Garay Gallastegui

et al.

Cogent Business & Management, Journal Year: 2025, Volume and Issue: 12(1)

Published: March 8, 2025

Language: Английский

Citations

0

Titanium Additive Manufacturing with Powder Bed Fusion: A Bibliometric Perspective DOI Creative Commons
Antonio del Bosque, Pablo Fernández‐Arias, Diego Vergara

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(22), P. 10543 - 10543

Published: Nov. 15, 2024

Titanium additive manufacturing using powder bed fusion technologies has seen notable growth since 2015, particularly in high-performance sectors such as aerospace, biomedical, and automotive industries. This study focuses on key areas like metallic manipulation, laser optimization, process control, with selective melting emerging the dominant technique over electron beam melting. Advancements materials systems have been crucial to improving efficiency quality of process, enhancing microstructure porosity control. The bibliometric analysis reveals significant global interest, driven mainly by collaborations among institutions Germany, United States, China, where further international cooperation is required scale titanium manufacturing. However, additional research essential address challenges scalability, sustainability, post-processing, thus expanding applications PBF technology across In conclusion, processing via poised make substantial contributions future manufacturing, provided current are addressed through innovation enhanced collaboration.

Language: Английский

Citations

1

Artificial Intelligence and Educational Robotics in Maker Education DOI
Γεώργιος Λαμπρόπουλος, Jesús López Belmonte, José Antonio Marín Marín

et al.

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 85 - 106

Published: Nov. 1, 2024

In maker education, students are actively engaged in the educational process through experiential learning and become co-designers co-creators of their own learning. The chapter examines role artificial intelligence robotics education. Based on results, this combination can increase student technical soft skills, improve motivation engagement, enhance creativity, higher-order thinking critical thinking. It supports personalized learning, self-regulated collaborative interest positive attitude toward science, assist teachers to interact with focus needs performance. Through feedback meaningful hands-on experiences project-based activities, acquire a deeper understanding concepts taught. Integrating into education enrich transform teaching activities support both teachers.

Language: Английский

Citations

1