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Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 14th International Conference
Details
This book includes the accepted papers of the four selected workshops focus on Artificial Intelligence for Education (Ai4Ed), Technology Enhanced Learning in Nursing Education (NURSING), Technology Enhanced Learning for Future Citizens (TEL4FC), and integration of emerging technologies into education and training (ETELT). Education is the cornerstone of any society; it serves as one of the foundations for many of its social values and characteristics. mis4TEL'24 promotes the interaction among the scientific community to discuss applications Technology enhanced learning solutions targeting not only cognitive and social processes but also motivational, personality, or emotional factors. In addition, current trends concerning the use of artificial intelligence can help and augment learning opportunities for learners and educators.
The authors would like to thank all the contributing authors, the members of the Program Committee, National Associations (AEPIA, APPIA, and LASI), and the sponsors (AIR Institute).
Latest research on methodologies and intelligent systems for technology enhanced learning Includes the accepted papers of the four selected workshops Focuses on the increasing role of intelligent systems to shape technology enhanced learning for knowledge societies
Inhalt
Forecasting and AI-Powered Exploration of Student choices across differents types of Mathematics in Pre-University School.- Computerized Dynamic Assessment for Pragmatic Competence in Second Language Learners' English Email Requests.- Game-Based Learning in Higher Education: player profiles of faculty.- Enhancing Education Research: The Potential and Challenges of Incorporating AI into Qualitative Data Analysis.- Personalization Differences in Teachers' and Students' Views.- Categorizing Students of the MathE Platform: a Fuzzy Clustering Perspective.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031855603
- Genre Technology Encyclopedias
- Editor Zuzana Kubincová, Dalila Durães, María Cruz Sánchez Gómez, Paulo Novais, Loreto Lancia, Maria Angela Pellegrino
- Lesemotiv Verstehen
- Anzahl Seiten 272
- Herausgeber Springer
- Größe H235mm x B155mm x T15mm
- Jahr 2025
- EAN 9783031855603
- Format Kartonierter Einband
- ISBN 3031855604
- Veröffentlichung 12.04.2025
- Titel Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 14th International Conference
- Untertitel Lecture Notes in Networks and Systems 1308
- Gewicht 417g
- Sprache Englisch