Making Dynamic Modeling Accessible to Precollege Science Students
- 1 January 1994
- journal article
- research article
- Published by Taylor & Francis in Interactive Learning Environments
- Vol. 4 (3), 233-257
- https://doi.org/10.1080/1049482940040305
Abstract
Dynamic modeling, for many precollege science students, is an out‐of‐reach cognitive activity. Professional tools are too hard for novices to use, user‐unfriendly, and provide no support for learners. We have designed a new modeling tool, Model‐It, that provides intentionally designed scaffolding for learners, enabling them to build and test dynamic models of complex systems easily, using object‐oriented and qualitative techniques. Model‐It contains scaffolding strategies intended to ground the learner in prior knowledge and experience, bridge the learner from novice to expert understandings and practices, and couple the learner's mental model with testing actions and model feedback. Our user and classroom testing shows evidence that the scaffolding strategies of Model‐It support learners' active construction of knowledge and that students can create meaningful models.Keywords
This publication has 21 references indexed in Scilit:
- A Collaborative Model for Helping Middle Grade Science Teachers Learn Project-Based InstructionThe Elementary School Journal, 1994
- Software‐Realized Scaffolding to Facilitate Programming for Science LearningInteractive Learning Environments, 1994
- Educational tools for computational modellingComputers & Education, 1993
- Qualitative reasoning about an ecological process: interpretation in hydroecologyEcological Modelling, 1991
- Motivating Project-Based Learning: Sustaining the Doing, Supporting the LearningEducational Psychologist, 1991
- QUAL: A microcomputer system for qualitative simulationSIMULATION, 1990
- Syntactic modeling and simulationSIMULATION, 1990
- Learner‐directed systems education: A successful exampleSystem Dynamics Review, 1990
- Not all preconceptions are misconceptions: finding ‘anchoring conceptions’ for grounding instruction on students’ intuitionsInternational Journal of Science Education, 1989
- Qualitative reasoning about physical systems: An introductionArtificial Intelligence, 1984