Application of STEM Subjects in Different Disciplines: Use of Data Mining and Artificial Intelligence Techniques
A special issue of European Journal of Investigation in Health, Psychology and Education (ISSN 2254-9625).
Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 1364
Special Issue Editors
Interests: blended learning; metacognition; artificial intelligence and child health; data mining; early care
Special Issues, Collections and Topics in MDPI journals
Interests: self-regulated learning; teaching methods in science education; sustainability
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The society of the 21st century is making rapid progress in technology-oriented research, which makes the subjects of STEM transversal to all areas of knowledge. For this reason, it is important to know about research into the incorporation of STEM (science, technology, engineering, and mathematics) subjects into different areas of knowledge in the different stages of the education system (pre-school, primary, secondary, and university). This monograph will include research experiences in these stages aimed at promoting the use of STEM subjects in applied curricular areas, placing special emphasis on the use of data mining and artificial intelligence techniques to improve learning.
Dr. María Consuelo Sáiz Manzanares
Prof. Dr. Miguel Ángel Queiruga Dios
Guest Editors
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Keywords
- STEM
- artificial intelligence
- data mining
- learning
- different disciplines
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