Science Triggers and Situational Interest in Everyday Family Life
Journal of Research in Science Teaching, EarlyView.ABSTRACT Interest in science is critical for science learning. The family plays a major role in supporting the development of children's interest in science by eliciting and fostering interest and engagement with science content and practice. This study characterizes triggers for interest in science in everyday family life and measures the duration of ...
Irit Vivante, Dana Vedder‐Weiss
wiley +1 more source
Models for the Formation of Elliptical Galaxies [PDF]
, 1975 Richard B. Larson
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Tools for Learning—Promoting Reflection for Student Teachers' Development of PCK
Journal of Research in Science Teaching, EarlyView.ABSTRACT This paper investigates how the coherent integration of three different tools for reflection during a science methods course can contribute to student teachers' planning and enactment of science teaching, that is, their development of pedagogical content knowledge (PCK).
Pernilla Nilsson +1 more
wiley +1 more source
Galaxy Formation from Annihilation-Generated Supersonic Turbulence in the Baryon-Symmetric Big-Bang Cosmology and the Gamma-Ray Background Spectrum [PDF]
, 1972 F. W. Stecker, J.‐L. Puget
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The Effect of Seductive Details on Knowledge Retention in Physics Videos: A Mixed Methods Study
Journal of Research in Science Teaching, EarlyView.ABSTRACT Research reports that interesting but irrelevant information, seductive details, in teaching material can impede learning. In science education, the inclusion of historical narratives in lessons to promote interest has been recommended but may hinder learning.
Richard Brock +2 more
wiley +1 more source
Black hole and galaxy formation in a cold early Universe [PDF]
, 1977 B. J. Carr
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Machine learning approach of multi‐RAT selection for travelling users in 5G NSA networks
IET Networks, EarlyView.The authors present RAT selection algorithm for efficient resource allocation for public bus travelling user(s), utilising live data from multiple 5G NSA base stations. Models of the supervised machine learning algorithms: SVM, DNN and XGBoost were deployed for implementation to predict or select the appropriate RAT between 4G and 5G RATs.
Nurudeen O. Salau +2 more
wiley +1 more source
Chapter III. Formation of Proto-Galaxies in the Expanding Universe [PDF]
, 1971 Hidekazu Nariai, Kenji Tomita
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Dynamical Collapse of the Intracluster Gas and the Formation of a Hot Plasma in Clusters of Galaxies [PDF]
, 1976 Fumio Takahara +3 more
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