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Applying Machine Learning in Science Education Research

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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Enregistré dans:
Format: Online
Langue:anglais
Publié: Springer Nature 2025
Sujets:
Machine learning
Natural language processing
science education research
supervised and unsupervised learning
Probabilistic modeling
artificial intelligence in Science education
Machine learning models
Human-machine interactions
Pattern recognition
computational grounded theory
reinforcement learning
deep neural networks
multimodal learning
transfer learning
qualitative and quantitative research methods
computer-aided tutoring
human-machine interaction
big data
complex systems theory
thema EDItEUR::J Society and Social Sciences::JN Education::JNU Teaching of a specific subject
thema EDItEUR::P Mathematics and Science::PD Science: general issues
thema EDItEUR::J Society and Social Sciences::JN Education::JNZ Study and learning skills: general
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
Accès en ligne:ONIX_20250313_9783031742279_12
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