Suchergebnisse - "artificial intelligence in Science education"

Applying Machine Learning in Science Education Research

Weitere Verfasser: Wulff, Peter Kubsch, Marcus Krist, Christina

Schlagwörter: 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, Teaching of a specific subject, Science: general issues, Study and learning skills: general

Dateibeschreibung: application/pdf

Relation: Springer Texts in Education

Zugangs-URL: https://library.oapen.org/handle/20.500.12657/99864

Applying Machine Learning in Science Education Research ; 9783031742279.pdf

Weitere Verfasser: Wulff, Peter Kubsch, Marcus Krist, Christina

Schlagwörter: 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

Dateibeschreibung: application/pdf

Relation: Springer Texts in Education; ONIX_20250313_9783031742279_12

Verfügbarkeit: https://library.oapen.org/handle/20.500.12657/99864
https://hdl.handle.net/20.500.12657/99864
https://link.springer.com/978-3-031-74227-9

1500 Students and Only a Single Cluster? a Multimethod Clustering Analysis of Assessment Data from a Large, Structured Engineering Course

Autoren: Williams, Taylor V Douglas, Kerrie

Weitere Verfasser: Williams, Taylor V Douglas, Kerrie

Quelle: Theses and Dissertations Available from ProQuest

Schlagwörter: Design|Higher education|Artificial intelligence|Pedagogy|Science education|Education|Educational technology

Relation: https://docs.lib.purdue.edu/dissertations/AAI30506247

Verfügbarkeit: https://docs.lib.purdue.edu/dissertations/AAI30506247