The paper explores students' learning about gases in chemistry through constructing computational models of complex systems with the new Much.Matter.in.Motion platform (MMM; ). The design of MMM is based on the agent-based modelling approach to complex systems. The interface is governed by an epistemological structure into which programming blocks are integrated. They are inserted into one of three sections: properties, actions and interactions, for each population of entities. 22 Seventh-grade students' learning of science and systems concepts and modeling practices using the MMM are compared with 28 students' learning with a normative curriculum. Findings shows that conceptual learning is deeper and more integrated; the system's levels are better distinguished and related. Students' modeling expresses a gradual increase in explorative-ness and most importantly, show a gradual shift from relying on the external modeling platform to activating and developing their own internal mental models on the fly.
|Title of host publication||Proceedings of the Interaction Design and Children Conference, IDC 2020|
|Publisher||Association for Computing Machinery, Inc|
|Number of pages||6|
|State||Published - 21 Jun 2020|
|Event||2020 Interaction Design and Children Conference, IDC 2020 - London, United Kingdom|
Duration: 21 Jun 2020 → 24 Jun 2020
|Name||Proceedings of the Interaction Design and Children Conference, IDC 2020|
|Conference||2020 Interaction Design and Children Conference, IDC 2020|
|Period||21/06/20 → 24/06/20|
Bibliographical noteFunding Information:
This work was supported by the Israeli Science foundation (grant # 1205\18). In addition, it is part of the “Computational Thinking & Modeling in Science (CMS)” project that was supported by Ministry of Science, Technology and Space (grant # 87166).
© 2020 ACM.
- complex systems
ASJC Scopus subject areas
- Human-Computer Interaction