In Quest of Productive Modeling-Based Learning Discourse in Elementary School Science
By Loucas T. Louca, Zacharias C. Zacharia, C. P. Constantinou. 2011
87 citations recorded by the source corpus.
Subfields: Computer Science Applications, Developmental and Educational Psychology, Education
View Paper: https://www.semanticscholar.org/paper/c286dec6e333710b1b7bfe168ccc73313e132902
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Science Applications
In Developmental and Educational Psychology
- Zacharias C. Zacharia
- Loucas T. Louca
- Christina V. Schwarz
- Brian J. Reiser
- Christina Krist
- William A. Sandoval
- Ravit Golan Duncan
- Andy Cavagnetto
In Education
- Zacharias C. Zacharia
- Loucas T. Louca
- Christina V. Schwarz
- Brian J. Reiser
- Christina Krist
- Traci Sitzmann
- William A. Sandoval
- Ravit Golan Duncan
Citations in the corpus
- Identifying Essential Epistemic Heuristics for Guiding Mechanistic Reasoning in Science Learning (2018, background): “They then must unpack these factors by identifying how they matter: As the cart continues moving down the ramp, the velocity continues increasing because of the continuous pull of gravity (e.g., Bolger, Kobiela, Weinberg, & Lehrer, 2012; Louca et al., 2011).”
- Modeling-based learning in science education: cognitive, metacognitive, social, material and epistemological contributions (2012, background): “This evaluation may be based on various criteria concerning the necessary components of models (Boohan and Brosnan 1994) which include representation of physical objects, physical concepts (object characteristics and object states), and their relationships (Louca et al. 2011).”