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Helenius, Ola
Publications (2 of 2) Show all publications
Seidouvy, A., Helenius, O. & Schindler, M. (2019). Authority in students’ peer collaboration in statistics: an empirical study based on inferentialism. Nordisk matematikkdidaktikk, NOMAD: [Nordic Studies in Mathematics Education], 24(2), 25-47
Open this publication in new window or tab >>Authority in students’ peer collaboration in statistics: an empirical study based on inferentialism
2019 (English)In: Nordisk matematikkdidaktikk, NOMAD: [Nordic Studies in Mathematics Education], ISSN 1104-2176, Vol. 24, no 2, p. 25-47Article in journal (Refereed) Published
Abstract [en]

Students’ peer collaboration efforts in mathematics and statistics is a topic that has increasingly gained attention in research. In any collaboration, authority relations play a role for how meaning is constituted: Whenever things are discussed and decision sare made, authority is involved in a sense that some arguments or persons may be more convincing and powerful than others. In this article, we investigate how authority changes dynamically in type and in distribution as groups of fifth grade students collaborate in data generation processes. We identify and categorize authority using an epistemological framework, which is based on the philosophical theory of inferentialism. The results show that the three different types of authority described in inferentialism are all identifiable in students’ collaborative work. We also find and categorize further types of authority connected to the statistics group work, some of which are hardly addressed in previous research.

Place, publisher, year, edition, pages
Göteborg, Sweden: NOMAD, 2019
National Category
Mathematics Didactics
Identifiers
urn:nbn:se:oru:diva-76046 (URN)
Available from: 2019-09-04 Created: 2019-09-04 Last updated: 2019-09-05Bibliographically approved
Seidouvy, A., Helenius, O. & Schindler, M. (2018). Data generation in statistics – both procedural and conceptual: An inferentialist analysis. In: J. Häggström, Y. Liljekvist, J. Bergman Ärlebäck, M. Fahlgren, & O. Olande (Ed.), Perspectives on professional development of mathematics teachers: Proceedings of MADIF 11. Paper presented at The eleventh research seminar of the Swedish Society for Research in Mathematics Education (MADIF11), Karlstad, Sweden, January 23–24, 2018 (pp. 191-200). Göteborg, Sweden: Svensk förening för MatematikDidaktisk Forskning - SMDF
Open this publication in new window or tab >>Data generation in statistics – both procedural and conceptual: An inferentialist analysis
2018 (English)In: Perspectives on professional development of mathematics teachers: Proceedings of MADIF 11 / [ed] J. Häggström, Y. Liljekvist, J. Bergman Ärlebäck, M. Fahlgren, & O. Olande, Göteborg, Sweden: Svensk förening för MatematikDidaktisk Forskning - SMDF, 2018, p. 191-200Conference paper, Published paper (Refereed)
Abstract [en]

Data generation in statistics education is often conducted by the students them-selves; however, the question of what learning opportunities the data generation process offers has only been studied to a small extent. This paper investigates to what extent data generation is an observational and procedural vs. a conceptual activity. We inquire into this question based on an empirical study where eleven year old students measured the jump lengths of paper frogs. Our analysis draws on stu-dents’ discussions in group work, and it uses inferentialism as a background theory. Our results indicate that students’ discussions are conceptual to a certain extent and provide various learning opportunities for the students.

Place, publisher, year, edition, pages
Göteborg, Sweden: Svensk förening för MatematikDidaktisk Forskning - SMDF, 2018
Series
Skrifter från Svensk Förening för MatematikDidaktisk Forskning, ISSN 1651-3274 ; 13
National Category
Mathematics Didactics
Identifiers
urn:nbn:se:oru:diva-76045 (URN)978-91-984024-2-1 (ISBN)
Conference
The eleventh research seminar of the Swedish Society for Research in Mathematics Education (MADIF11), Karlstad, Sweden, January 23–24, 2018
Available from: 2019-09-04 Created: 2019-09-04 Last updated: 2019-09-20Bibliographically approved
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