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Moutinho, Sara; Moura, Rui; Vasconcelos, Clara – EURASIA Journal of Mathematics, Science & Technology Education, 2017
Model-Based learning is a methodology that facilitates students' construction of scientific knowledge, which, sometimes, includes restructuring their mental models. Taking into consideration students' learning process, its aim is to promote a deeper understanding of phenomena's dynamics through the manipulation of models. Our aim was to ascertain…
Descriptors: Cognitive Structures, Models, Visualization, Teaching Methods
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Ibrahim, Bashirah; Rebello, N. Sanjay – Physical Review Special Topics - Physics Education Research, 2013
In this paper, we report on a project concerned with the role of cognition during problem solving. We specifically explore the categories of mental representations that students work with during problem solving of different representational task formats. The sample, consisting of 19 engineering students taking a calculus-based physics course,…
Descriptors: Problem Solving, Cognitive Processes, College Students, Physics
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Corpuz, Edgar D.; Rebello, N. Sanjay – Physical Review Special Topics - Physics Education Research, 2011
Our previous research showed that students' mental models of friction at the atomic level are significantly influenced by their macroscopic ideas. For most students, friction is due to the meshing of bumps and valleys and rubbing of atoms. The aforementioned results motivated us to further investigate how students can be helped to improve their…
Descriptors: Physics, Scientific Concepts, Cognitive Structures, College Students
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Batzli, Janet M.; Smith, Amber R.; Williams, Paul H.; McGee, Seth A.; Dosa, Katalin; Pfammatter, Jesse – CBE - Life Sciences Education, 2014
Genetics instruction in introductory biology is often confined to Mendelian genetics and avoids the complexities of variation in quantitative traits. Given the driving question "What determines variation in phenotype (Pv)? (Pv=Genotypic variation Gv + environmental variation Ev)," we developed a 4-wk unit for an inquiry-based laboratory…
Descriptors: Genetics, Units of Study, Plants (Botany), Statistical Analysis
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Akaygun, Sevil; Jones, Loretta L. – Chemistry Education Research and Practice, 2013
Helping learners to visualize the structures and dynamics of particles through the use of technology is challenging. Animations and simulations can be difficult for learners to interpret and can even lead to new misconceptions. A systematic approach to development based on the findings of cognitive science was used to design, develop, and evaluate…
Descriptors: Chemistry, Computer Simulation, Science Instruction, Questionnaires
Rus, Vasile; Lintean, Mihai; Azevedo, Roger – International Working Group on Educational Data Mining, 2009
This paper presents several methods to automatically detecting students' mental models in MetaTutor, an intelligent tutoring system that teaches students self-regulatory processes during learning of complex science topics. In particular, we focus on detecting students' mental models based on student-generated paragraphs during prior knowledge…
Descriptors: Data Analysis, Prior Learning, Cognitive Structures, College Students
Johnston, James D.; Whitenack, Joy W. – 1992
Recent research has focused on how prospective teachers formulate beliefs related to teaching and learning mathematics and science. This paper examines the use of videotaped mathematics and science lesson segments to aid in the description or identification of initial belief structures of prospective elementary school teachers. Using a…
Descriptors: Attitude Measures, Cognitive Structures, College Students, Constructivism (Learning)