Experimentation to Promote Modeling Skills and Motivation in Mathematics (Ex2MoMa)
The project investigated whether and under what conditions experiments in mathematics lessons can help to promote modeling skills and motivation among students. The project was carried out as a joint project between the Universities of Potsdam and Magdeburg, each with a different focus: The subproject at OVGU Magdeburg dealt with the effect of the experiments on cognitive student characteristics such as their modeling and validation skills and examined cognitive processes during modeling. The subproject at the University of Potsdam analyzed the development of students' motivational characteristics and motivational aspects of modeling processes. In both subprojects, the influence of different conditions, i.e., different types of learning environments, on students' motivational and cognitive development was examined: A distinction was made between whether the students (i) first experimented and then modeled the real data obtained with functions, (ii) modeled real data with functions, but the data was provided to them, or (iii) used smoothed data, i.e., data that exactly corresponds to an intended function, which the students modeled with functions. The third condition corresponded to the comparison group. In addition, all three conditions were examined to determine whether an impulse to stimulate validation processes would be beneficial. To investigate this issue, competency test data and questionnaire data from 627 students in 27 classes in various federal states were collected and analyzed. (IQB)
- Research Design: Quasi-Experimental Design
- Sample: Students in grades 10 and 11 (N=627); Schools (N=13); Classes (N=24)
- DOI: 10.5159/IQB_Ex2MoMa_SUF_Off-site_v1
- Restrictions: Yes
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Individual Characteristics
- Age
- Sex
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Learning and Performance-related Attitudes
- Task Perceived Competence
- Task Perceived autonomy
- Task Intrinsic Value
- Task Attainment Value
- Task Utility Value
- Task Cost
- Self concept mathematics
- Interest in experiments
- Attainment Value Mathematics
- Utility Value Mathematics
- Cost Mathematics
- Formalism
- Application
- Process
- Schema
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Educational Biography
- Preliminary grade: Mathematics
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in-house development
- Validation Competence
- Modeling Competence
- Prerequisite knowledge of linear and exponential functions
- Students
- Geisler, Prof. Dr. Sebastian
- Rach, Prof. Dr. Stefanie
- Rach, Prof. Dr. Stefanie
Blank data sets
For a first overview of the data set and its variables, dummy data sets containing the variables used and the value labels relating to them are provided for download here.
Further information
- https://doi.org/10.5282/ubm/epub.132015
- https://doi.org/10.5282/ubm/epub.132255
Literature
Selected literature is listed here.