Applying Machine Learning in Science Education Research When, How, and Why?

This open access textbook offers science education researchers a hands-on guide for learning, critically examining, and integrating machine learning (ML) methods into their science education research projects. These methods power many artificial intelligence (AI)-based technologies and are widely ad...

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Bibliographische Detailangaben
Hauptverfasser:	Wulff, Peter, Kubsch, Marcus, Krist, Christina
Format:	E-Book
Sprache:	Englisch
Veröffentlicht:	Cham Springer Nature 2025 Springer
Ausgabe:	1
Schriftenreihe:	Springer Texts in Education
Schlagworte:	Artificial intelligence artificial intelligence in Science education big data complex systems theory computational grounded theory Computer science computer-aided tutoring Computing and Information Technology deep neural networks Education human-machine interaction Human-machine interactions Machine learning Machine learning models Mathematics and Science multimodal learning Natural language processing Pattern recognition Probabilistic modeling qualitative and quantitative research methods reinforcement learning science education research Science: general issues Society and Social Sciences Study and learning skills: general supervised and unsupervised learning Teaching of a specific subject transfer learning
ISBN:	9783031742279, 3031742265, 3031742273, 9783031742262
Online-Zugang:	Volltext
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