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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Номзүйн дэлгэрэнгүй
Формат:	Online
Хэл сонгох:	англи
Хэвлэсэн:	Springer Nature 2025
Нөхцлүүд:	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
Онлайн хандалт:	ONIX_20250313_9783031742279_12
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!

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Applying Machine Learning in Science Education Research

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