Using Epistemic Network Analysis to understand core topics as planned learning objectives

Publikation: Konferencebidrag uden forlag/tidsskriftPosterForskning

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Resumé

Epistemic Network Analysis is a tool developed by the epistemic games group at the University of Wisconsin Madison for tracking the relations between concepts in students discourse (Shaffer 2017). In our current work we are applying this tool to learning objectives in teachers digital preparation.
The danish mathematics curriculum is organised in six competencies and three topics. In the recently implemented learning platforms teacher choose which of the mathematical competencies that serves as objective for a specific lesson or teaching sequence. Hence learning objectives for lessons and teaching sequences are defining a network of competencies, where two competencies are closely related of they often are part of the same learning objective or teaching sequence. We are currently using Epistemic Network Analysis to study these networks. In the poster we will include examples of different networks from a corpus of learning objectives from a project, “The goal arrow”, developing a prototype learning platform (Misfeldt et al 2015).
The analysis suggest a two dimensional space of mathematical competencies where one dimension is characterised by having communication at one end and mathematical problem solving at the other, and the other dimension is characterised by a dimension going from thinking to articulation. The poster will include analysis of networks for grade 1-3, grade 4-6 and grade 7-9 using these dimension to suggest a way to look at the progression in mathematical competence focus in Danish compulsory school.
OriginalsprogEngelsk
Publikationsdato2017
Antal sider1
StatusUdgivet - 2017
BegivenhedLearning Analytics Summer Institute - Centre for the Science of Learning & Technology (SLATE) University of Bergen, Bergen, Norge
Varighed: 28 sep. 201729 sep. 2017
https://www.slate.uib.no/lasi-nordic2017

Konference

KonferenceLearning Analytics Summer Institute
LokationCentre for the Science of Learning & Technology (SLATE) University of Bergen
LandNorge
ByBergen
Periode28/09/201729/09/2017
Internetadresse

Emneord

  • ENA
  • Epistemic Network Analysis
  • Learning Analytics
  • Mathematics curriculum

Citer dette

Allsopp, B. B., Dreyøe, J., & Misfeldt, M. (2017). Using Epistemic Network Analysis to understand core topics as planned learning objectives. Poster session præsenteret på Learning Analytics Summer Institute, Bergen, Norge.
Allsopp, Benjamin Brink ; Dreyøe, Jonas ; Misfeldt, Morten. / Using Epistemic Network Analysis to understand core topics as planned learning objectives. Poster session præsenteret på Learning Analytics Summer Institute, Bergen, Norge.1 s.
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abstract = "Epistemic Network Analysis is a tool developed by the epistemic games group at the University of Wisconsin Madison for tracking the relations between concepts in students discourse (Shaffer 2017). In our current work we are applying this tool to learning objectives in teachers digital preparation.The danish mathematics curriculum is organised in six competencies and three topics. In the recently implemented learning platforms teacher choose which of the mathematical competencies that serves as objective for a specific lesson or teaching sequence. Hence learning objectives for lessons and teaching sequences are defining a network of competencies, where two competencies are closely related of they often are part of the same learning objective or teaching sequence. We are currently using Epistemic Network Analysis to study these networks. In the poster we will include examples of different networks from a corpus of learning objectives from a project, “The goal arrow”, developing a prototype learning platform (Misfeldt et al 2015).The analysis suggest a two dimensional space of mathematical competencies where one dimension is characterised by having communication at one end and mathematical problem solving at the other, and the other dimension is characterised by a dimension going from thinking to articulation. The poster will include analysis of networks for grade 1-3, grade 4-6 and grade 7-9 using these dimension to suggest a way to look at the progression in mathematical competence focus in Danish compulsory school.",
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year = "2017",
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note = "Learning Analytics Summer Institute, LASI-NORDIC 2017 ; Conference date: 28-09-2017 Through 29-09-2017",
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Using Epistemic Network Analysis to understand core topics as planned learning objectives. / Allsopp, Benjamin Brink; Dreyøe, Jonas; Misfeldt, Morten.

2017. Poster session præsenteret på Learning Analytics Summer Institute, Bergen, Norge.

Publikation: Konferencebidrag uden forlag/tidsskriftPosterForskning

TY - CONF

T1 - Using Epistemic Network Analysis to understand core topics as planned learning objectives

AU - Allsopp, Benjamin Brink

AU - Dreyøe, Jonas

AU - Misfeldt, Morten

PY - 2017

Y1 - 2017

N2 - Epistemic Network Analysis is a tool developed by the epistemic games group at the University of Wisconsin Madison for tracking the relations between concepts in students discourse (Shaffer 2017). In our current work we are applying this tool to learning objectives in teachers digital preparation.The danish mathematics curriculum is organised in six competencies and three topics. In the recently implemented learning platforms teacher choose which of the mathematical competencies that serves as objective for a specific lesson or teaching sequence. Hence learning objectives for lessons and teaching sequences are defining a network of competencies, where two competencies are closely related of they often are part of the same learning objective or teaching sequence. We are currently using Epistemic Network Analysis to study these networks. In the poster we will include examples of different networks from a corpus of learning objectives from a project, “The goal arrow”, developing a prototype learning platform (Misfeldt et al 2015).The analysis suggest a two dimensional space of mathematical competencies where one dimension is characterised by having communication at one end and mathematical problem solving at the other, and the other dimension is characterised by a dimension going from thinking to articulation. The poster will include analysis of networks for grade 1-3, grade 4-6 and grade 7-9 using these dimension to suggest a way to look at the progression in mathematical competence focus in Danish compulsory school.

AB - Epistemic Network Analysis is a tool developed by the epistemic games group at the University of Wisconsin Madison for tracking the relations between concepts in students discourse (Shaffer 2017). In our current work we are applying this tool to learning objectives in teachers digital preparation.The danish mathematics curriculum is organised in six competencies and three topics. In the recently implemented learning platforms teacher choose which of the mathematical competencies that serves as objective for a specific lesson or teaching sequence. Hence learning objectives for lessons and teaching sequences are defining a network of competencies, where two competencies are closely related of they often are part of the same learning objective or teaching sequence. We are currently using Epistemic Network Analysis to study these networks. In the poster we will include examples of different networks from a corpus of learning objectives from a project, “The goal arrow”, developing a prototype learning platform (Misfeldt et al 2015).The analysis suggest a two dimensional space of mathematical competencies where one dimension is characterised by having communication at one end and mathematical problem solving at the other, and the other dimension is characterised by a dimension going from thinking to articulation. The poster will include analysis of networks for grade 1-3, grade 4-6 and grade 7-9 using these dimension to suggest a way to look at the progression in mathematical competence focus in Danish compulsory school.

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Allsopp BB, Dreyøe J, Misfeldt M. Using Epistemic Network Analysis to understand core topics as planned learning objectives. 2017. Poster session præsenteret på Learning Analytics Summer Institute, Bergen, Norge.