Assessing Learner-Constructed Conceptual Models and Simulations of Dynamic Systems

Learning by conceptual modeling is seeing uptake in secondary and higher education. However, assessment of conceptual models is underdeveloped. This paper proposes an assessment method for conceptual models. The method is based on a metric that includes 36 types of issues that diminish model features. The approach was applied by educators and positively evaluated. It was considered useful and the derived grades corresponded with their intuitions about the models quality.

[1]  Rafi Nachmias,et al.  Learning about Ecological Systems by Constructing Qualitative Models with DynaLearn , 2012 .

[2]  Helen R. Quinn,et al.  A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas , 2013 .

[3]  Mario Bunge,et al.  Epistemology & Methodology I: , 1983 .

[4]  Koreny Ágnes.  Eurydice - The information network on education in Europe , 2007 .

[5]  Maria Araceli Ruiz-Primo,et al.  Assessment and science education: Our essential new priority? , 2012 .

[6]  W. V. van Joolingen,et al.  The Difficult Process of Scientific Modelling: An analysis of novices' reasoning during computer‐based modelling , 2005 .

[7]  Yael M. Bamberger,et al.  Middle-School Science Students’ Scientific Modelling Performances Across Content Areas and Within a Learning Progression , 2013 .

[8]  Daniel L. Moody,et al.  Theoretical and practical issues in evaluating the quality of conceptual models: current state and future directions , 2005, Data Knowl. Eng..

[9]  Constantinos P. Constantinou,et al.  Objects, Entities, Behaviors, and Interactions: A Typology of Student-Constructed Computer-Based Models of Physical Phenomena , 2011 .

[10]  M. James,et al.  Assessment and Learning: differences and relationships between formative and summative assessment , 1997 .

[11]  Ibrahim A. Halloun.  Mediated Modeling in Science Education , 2007 .

[12]  Barbara C. Buckley,et al.  Examining the Relationship Between Students’ Understanding of the Nature of Models and Conceptual Learning in Biology, Physics, and Chemistry , 2011 .

[13]  Wouter R. van Joolingen,et al.  Students' reasoning during modeling in an inquiry learning environment , 2005, Comput. Hum. Behav..

[14]  Kamal Kansou,et al.  How plants changed the world: Using qualitative reasoning to explain plant macroevolution's effect on the long-term carbon cycle , 2013, Ecol. Informatics.

[15]  Zacharias C. Zacharia,et al.  Modeling-based learning in science education: cognitive, metacognitive, social, material and epistemological contributions , 2012 .

[16]  Jochem Liem,et al.  Supporting conceptual modelling of dynamic systems: A knowledge engineering perspective on qualitative reasoning , 2013 .

[17]  Gautam Biswas,et al.  Designing Learning by Teaching Agents: The Betty's Brain System , 2008, Int. J. Artif. Intell. Educ..

[18]  Floris Linnebank,et al.  DynaLearn - An Intelligent Learning Environment for Learning Conceptual Knowledge , 2013, AI Mag..