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On students’ perception of explorative, translation, and example-generation tasks for understanding Calculus in one variable

Authors: Barana Alice; Brunström Mats; Fahlgren Maria; Marchisio Conte Marina; Roman Fabio; Sacchet Matteo; Vinerean Mirela; +1 Authors

On students’ perception of explorative, translation, and example-generation tasks for understanding Calculus in one variable

Abstract

Automatic assessment is widespread in Mathematics, and it integrates computing environments and grading for the creation of meaningful and open-ended tasks for inquiring students’ understanding. This study focuses on three types of tasks related to univariate Calculus: explorative tasks, translation tasks, and example-generation tasks. They have been experimented with in two first-year university Mathematics modules in Italy and Sweden as group formative activities. The data consists of students’ responses to a survey that highlights their perception of the difficulty of the tasks and of the increase in understanding triggered by the activities. Our results show the difficulty perceived as reasonable and the increase as tangible.

Country
Italy
Related Organizations
Keywords

computer-aided assessment, example-generation tasks, explorative tasks, mathematics education, translation tasks.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green