What teachers of science need to know about models: An overview

PS Oh, SJ Oh - International Journal of Science Education, 2011 - Taylor & Francis
The purpose of this article is to provide an overview of the nature of models and their uses in
the science classroom based on a theoretical review of literature. The ideas that science …

Creativity in science education: Perspectives and challenges for developing school science

PM Kind, V Kind - 2007 - Taylor & Francis
Educational systems world-wide are being reformed to adapt to rapid societal changes, due
to global economic restructuring and technology development (Bellofiore, 1999; Bentley …

Developing and using multiple models to promote scientific literacy in the context of socio-scientific issues

L Ke, TD Sadler, L Zangori, PJ Friedrichsen - Science & Education, 2021 - Springer
Learning science in the context of socio-scientific issues (SSI) can promote scientific literacy
that links science to everyday life and society. In this position paper, we argue that …

Defining computational thinking for mathematics and science classrooms

D Weintrop, E Beheshti, M Horn, K Orton… - Journal of science …, 2016 - Springer
Science and mathematics are becoming computational endeavors. This fact is reflected in
the recently released Next Generation Science Standards and the decision to include …

Applying machine learning to automatically assess scientific models

X Zhai, P He, J Krajcik - Journal of Research in Science …, 2022 - Wiley Online Library
Involving students in scientific modeling practice is one of the most effective approaches to
achieving the next generation science education learning goals. Given the complexity and …

Teaching scientific practices: Meeting the challenge of change

J Osborne - Journal of Science Teacher Education, 2014 - Taylor & Francis
This paper provides a rationale for the changes advocated by the Framework for K-12
Science Education and the Next Generation Science Standards. It provides an argument for …

An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities

P O'Donovan, K Leahy, K Bruton, DTJ O'Sullivan - Journal of big data, 2015 - Springer
The term smart manufacturing refers to a future-state of manufacturing, where the real-time
transmission and analysis of data from across the factory creates manufacturing intelligence …

Drawing-to-learn: a framework for using drawings to promote model-based reasoning in biology

K Quillin, S Thomas - CBE—Life Sciences Education, 2015 - Am Soc Cell Biol
The drawing of visual representations is important for learners and scientists alike, such as
the drawing of models to enable visual model-based reasoning. Yet few biology instructors …

Developing a learning progression for scientific modeling: Making scientific modeling accessible and meaningful for learners

CV Schwarz, BJ Reiser, EA Davis… - Journal of Research …, 2009 - Wiley Online Library
Modeling is a core practice in science and a central part of scientific literacy. We present
theoretical and empirical motivation for a learning progression for scientific modeling that …

'Models of'versus 'Models for' Toward an Agent-Based Conception of Modeling in the Science Classroom

J Gouvea, C Passmore - Science & Education, 2017 - Springer
The inclusion of the practice of “developing and using models” in the Framework for K-12
Science Education and in the Next Generation Science Standards provides an opportunity …