In this paper, we focus on how the qualitative vocabulary of Dynalearn, which is used for describing dynamic systems, corresponds to the mathematical equations used in quantitative modeling. Then, we demonstrate the translation of a qualitative model into a quantitative model, using the example of an object falling with air resistance.
We investigate a computer supported approach in which pairs co-con-struct a qualitative representation of the dynamics of the industrial revolution in a shared workspace. A key feature of this approach concerns the use of a meta-vocabulary for representing cause-and-effect relationships that facilitates the use of a predefined norm-representation to automatically steer the collaborative learning process. In particular, it provides focus on the set of ingredients that the learners should use. Additionally, the workspace offers each learner pair information about progress and content-related support. An evaluation study was executed in a real classroom. A workbook provided information for constructing the representation and gave advise on how to approach this task together. How-ever, most pairs took an alternative approach and divided their actions in the shared workspace in an unbalanced way. Three types of task division occurred that showed differences in the number of errors and the number of requests for support. From this result, we formulate future directions for the development of a pedagogical approach that stimulates collaborative learning with qualitative representations and the support offered by the software.
Learning by creating qualitative representations is a valuable approach to learning. However, modelling is challenging for students, especially in secondary education. Support is needed to make this approach effective. To address this issue, we explore automated support provided to students while they create their qualitative representation. This support is generated form a reference model that functions as a norm. However, the construction of a reference models is still a challenge. In this paper, we present the reference model that we have created to support students in learning about the melatonin regulation in the context of the biological clock.
