oru.sePublications
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Exploring student collaboration during Data Generation in the Statistics Classroom: An Inferentialist Perspective
Örebro University, School of Science and Technology.ORCID iD: 0000-0002-4185-3208
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This dissertation explores student collaboration during data generation in statistics. The first aim is to put the semantic theory of inferentialism to work and develop a theoretical lens for exploring student collaboration during data generation. The second is to use the previously developed inferentialist lens regarding collaboration to better understand data generation processes in the statistics classroom. Two studies were conducted in Swedish 5th and 7th grade classes. The first involved 7th-grade students collaboratively engaged in experimentation with paper helicopters and their flight durations. The second study involved 5th graders experimenting with paper frogs and their jump lengths. The analyses reveal that inferentialism is a meaningful perspective for exploring student collaboration. One salient theoretical contribution of this thesis is that the inferentialist concept of norms helps avoid the dichotomy between social and individual facets of collaboration and learning that have plagued research on collaboration. However, by using the inferentialism lens, the social and individual can be regarded in their intertwined and dynamic natures. The thesis also illustrates how the formulation of tasks, social conditions, and norms mutually condition students’ learning opportunities. It is also demonstrated that data generation processes can also involve conceptual learning opportunities. The results offer ideas concerning which classroom conditions and manners of formulating tasks may contribute to such conceptual learning opportunities

Abstract [sv]

I denna avhandling utforskas elevers samarbete under datagenerering i statistik. Avhandlingens första syfte är att operationalisera en semantisk teori, inferentialismen, och skapa en teoretisk lins för att utforska elevers samarbeten är de genererar data. Det andra syftet är att utnyttja denna inferentialistiska lins för att förstå datagenereringsprocessen i statistikklassrummet bättre. Två klassrumsstudier har genomförts. Elever i årskurs 7 fick arbeta tillsammans för att undersöka pappershelikoptrar och hur länge de kunde flyga. Elever i årskurs 5 fick samarbeta i ett experiment med pappersgrodor och undersöka hur långt de kunde hoppa. Analyserna visar att inferentialismen är ett värdefullt perspektiv för att utforska elevers samarbete. Ett framträdande teoretiska bidrag från denna avhandling är att det inferentialistiska sättet att konceptualisera normer kan användas för att undvika den dikotomi mellan individuellt och socialt perspektiv som har varit framträdande i tidigare forskning om samarbete i matematikklassrum. Genom att analysera samarbete med hjälp av inferentialistisk teori kan den dynamiska interaktionen mellan det individuella och det sociala undersökas i sin sammanflätade natur. Avhandlingen illustrerar också hur formulering av uppgifter, sociala villkor och normer tillsammans skapar förutsättningar för vilka begrepp som kommer i spel och därmed blir möjliga att lära sig. Det visas också att processen att generera data kan involvera begreppsliga lärandesituationer. Resultaten ger därför indikationer på vilka slags klassrumssituationer och vilka uppgiftsformuleringar som kan bidra till sådant konceptuellt lärande.

Place, publisher, year, edition, pages
Örebro: Örebro University , 2019. , p. 134
Series
Örebro Studies in Mathematics ; 1
Keywords [en]
Inferentialism, Collaboration, Data generation, Statistics
National Category
Other Mathematics
Identifiers
URN: urn:nbn:se:oru:diva-74660ISBN: 978-91-7529-295-3 (print)OAI: oai:DiVA.org:oru-74660DiVA, id: diva2:1322973
Public defence
2019-09-27, Örebro universitet, Teknikhuset, Hörsal T, Fakultetsgatan 1, Örebro, 13:15 (English)
Opponent
Supervisors
Available from: 2019-06-11 Created: 2019-06-11 Last updated: 2019-09-05Bibliographically approved
List of papers
1. An inferentialist account of students’ collaboration in mathematics education
Open this publication in new window or tab >>An inferentialist account of students’ collaboration in mathematics education
2019 (English)In: Mathematics Education Research Journal, ISSN 1033-2170, E-ISSN 2211-050XArticle in journal (Refereed) Epub ahead of print
Abstract [en]

Collaboration is an increasingly popular topic in mathematics education due to its potential to foster students’learning. The purpose of this article is to draw attention to the semantic philosophical theory of inferentialism and its value for investigating students’ collaboration. We suggest that Brandom’s inferentialism can serve as a valuable theoretical resource to overcome certain issues of existing theoretical view-points on student collaboration. In particular, we argue that inferentialism may help to understand the individual and social nature of collaboration as intertwined. We illustrate our inferentialist approach using data from two scenes taken from video-recorded group work sessions from a fifth and seventh grade primary school class in Sweden. The topic in both classes was data generation in statistics.

Place, publisher, year, edition, pages
Springer, 2019
Keywords
Collaboration, Data generation, Inferentialism, Norms, Philosophy
National Category
Mathematics Didactics
Identifiers
urn:nbn:se:oru:diva-76042 (URN)10.1007/s13394-019-00267-0 (DOI)
Funder
Swedish Research Council, 2012-04811
Available from: 2019-09-04 Created: 2019-09-04 Last updated: 2019-09-04Bibliographically approved
2. Informal Inferential Reasoning and the Social: Understanding Students’ Informal Inferences Through an Inferentialist Epistemology
Open this publication in new window or tab >>Informal Inferential Reasoning and the Social: Understanding Students’ Informal Inferences Through an Inferentialist Epistemology
2018 (English)In: Topics and Trends in Current Statistics Education Research / [ed] Gail Burrill, Dani Ben-Zvi, Springer, 2018, p. 153-171Chapter in book (Refereed)
Abstract [en]

Informal statistical inference and informal inferential reasoning (IIR) are increasingly gaining significance in statistics education research. What has not sufficiently been dealt with in previous research is the social nature of students’ informal inferences. This chapter presents results from a study investigating seventh grade students’ IIR in an experiment with paper helicopters. It focuses on students’ reasoning on the best rotor blade length, addressing statistical correlation. We study how students draw inferences when working in a group; and how their inferences emerge socially in their IIR. For grasping the reasoning’s social nature and its normativity, we use inferentialism as background theory. The results illustrate how students’ informal inferences are socially negotiated in the group, how students’ perceived norms influence IIR, and what roles statistical concepts play in students’ IIR.

Place, publisher, year, edition, pages
Springer, 2018
Series
ICME-13 Monographs, ISSN 2520-8322, E-ISSN 2520-8330
Keywords
Generalization from data, Inferentialism, Informal inferential reasoning (IIR), Informal statistical inference (ISI), Informal statistical reasoning, Norms, Social
National Category
Mathematics Didactics
Identifiers
urn:nbn:se:oru:diva-76043 (URN)10.1007/978-3-030-03472-6_7 (DOI)978-3-030-03471-9 (ISBN)978-3-030-03472-6 (ISBN)
Funder
Swedish Research Council, 2012-04811
Available from: 2019-09-04 Created: 2019-09-04 Last updated: 2019-09-04Bibliographically approved
3. Designing for responsibility and authority in experiment based instruction in mathematics: The case of reasoning with uncertainty
Open this publication in new window or tab >>Designing for responsibility and authority in experiment based instruction in mathematics: The case of reasoning with uncertainty
2017 (English)In: Proceedings of the Tenth Congress of the European Society for Research in Mathematics Education (CERME10) / [ed] Dooley, T.; Gueudet, G., Dublin, Ireland: Institute of Education, Dublin City University, Ireland , 2017, p. 3740-3747Conference paper, Published paper (Refereed)
Abstract [en]

This study examines principles of task design concerning the concept of uncertainty in the area of statistics. A purpose is to promote and support students reasoning competency involving the aspects authority and responsibility. By using inferential role semantics as a background theory, we examine students' reasoning by means of how they show authority and responsibility for statements in the reasoning process. Statistical tasks where students generate and analyze their own data formed the basis for this pilot study conducted with seventh grade students in Sweden. The students were able to reflect on how their actions and consequences of their actions influence their reasoning with uncertainty. The study describes the findings, and presents principles to inform the design of innovative learning environments that promote authority and responsibility in reasoning in the domain of uncertainty.

Place, publisher, year, edition, pages
Dublin, Ireland: Institute of Education, Dublin City University, Ireland, 2017
Keywords
Design principles, uncertainty, responsibility, authority
National Category
Mathematics Didactics
Identifiers
urn:nbn:se:oru:diva-76044 (URN)000467053304094 ()978-1-873769-73-7 (ISBN)
Conference
10th Congress of the European-Society-for-Research-in-Mathematics-Education (CERME10), Dublin, Ireland, February 1-5, 2017
Available from: 2019-09-04 Created: 2019-09-04 Last updated: 2019-09-04Bibliographically approved
4. Data generation in statistics – both procedural and conceptual: An inferentialist analysis
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
5. Authority in students’ peer collaboration in statistics: an empirical study based on inferentialism
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

Open Access in DiVA

Cover(115 kB)5 downloads
File information
File name COVER01.pdfFile size 115 kBChecksum SHA-512
4e6cdc258db9efb74fc4e179dbb756ada65ea19c2295131d0578036ffdaef589b1b19d56fbe2605a2b2b70a1842b1bb9d91a32c45cadea053f3d057b702fb39a
Type coverMimetype application/pdf
Spikblad(58 kB)5 downloads
File information
File name SPIKBLAD01.pdfFile size 58 kBChecksum SHA-512
562c3db2fa54b76979784c7a51e78c6d883d2be1bd0ae4e5c54b5b65d141f11d191b926e8eed71e9c3199460586410ba5c6bfa6eb4e181d65937ae007e8fa369
Type spikbladMimetype application/pdf

Authority records BETA

Seidouvy, Abdel

Search in DiVA

By author/editor
Seidouvy, Abdel
By organisation
School of Science and Technology
Other Mathematics

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 266 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf