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Artificial intelligence technologies for education: advancements, challenges, and impacts

Liang, Yu - Personal Name; Wu, Wenjun - Personal Name; Li, Ying - Personal Name;

This Reprint presents a collection of cutting-edge research and reviews on the application of artificial intelligence (AI) technologies in education, focusing on both theoretical advancements and practical implementations. It examines how AI can be leveraged to enhance personalized learning, support adaptive assessment, enable intelligent learning environments, and facilitate more effective human–computer interaction in educational contexts. The contributions cover a broad spectrum of topics, including student and cognitive modeling, educational data mining, natural language processing for educational purposes, learning analytics, and the design of automated assistants and intelligent tutoring systems.\r\n\r\nThe works featured in this Reprint address key challenges and opportunities in integrating AI into diverse educational domains. They explore innovative methods and tools for analyzing learning data, delivering targeted instructional support, and adapting pedagogical strategies to meet the needs of individual learners. The collection also highlights the interplay between AI-driven systems and educators, emphasizing collaborative and human-centered approaches to technology-enhanced learning. By bringing together original research, comprehensive surveys, and case studies, this Reprint provides valuable insights into the evolving role of AI in shaping the future of education, making it a useful resource for researchers, practitioners, and policymakers alike.


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Detail Information
Series Title
-
Call Number
371.334 ART
Publisher
Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute., 2025
Collation
xii, 610 p.
Language
English
ISBN/ISSN
9783725850389
Classification
371.334
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Artificial intelligence
Pembelajaran - Komputer
Specific Detail Info
-
Statement of Responsibility
-
Other version/related

No other version available

File Attachment
  • 978-3-7258-5038-9
    Other Resource Link
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