Integrating and Visualising Diagnostic Information for the Benefit of Learning

Susan Bull; Matthew Johnson; Drew Masci; Carmen Biel

doi:10.4324/9781315777979

Integrating and Visualising Diagnostic Information for the Benefit of Learning

Susan Bull, Matthew Johnson, Drew Masci, Carmen Biel

Electronic, Electrical and Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

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Abstract

This chapter introduces the notion of independent open learner models, explaining how this type of learning analytics visualisation - derived from inferences about learner competencies based on diagnostic processes - can support learners and teachers throughout the learning process. We illustrate using visualisations from the Next-TELL independent open learner model, which can integrate data from a range of tools and activities.

Original language	English
Title of host publication	Measuring and Visualizing Learning in the Information-Rich Classroom
Editors	Peter Reimann, Susan Bull, Michael Kickmeier-Rust, Ravi Kiran Vatrapu, Barbara Wasson
Publisher	Routledge
ISBN (Electronic)	9781315777979, 9781317695080
ISBN (Print)	9781138021129
DOIs	https://doi.org/10.4324/9781315777979
Publication status	Published - Dec 2015

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10.4324/9781315777979

FP7_COLLAB_NEXT-TELL: Next Generation Teaching, Education and Learning for Life
Bull, S.
European Commission, European Commission - Management Costs
1/09/10 → 31/10/14
Project: Research

Cite this

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title = "Integrating and Visualising Diagnostic Information for the Benefit of Learning",

abstract = "This chapter introduces the notion of independent open learner models, explaining how this type of learning analytics visualisation - derived from inferences about learner competencies based on diagnostic processes - can support learners and teachers throughout the learning process. We illustrate using visualisations from the Next-TELL independent open learner model, which can integrate data from a range of tools and activities.",

author = "Susan Bull and Matthew Johnson and Drew Masci and Carmen Biel",

year = "2015",

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doi = "10.4324/9781315777979",

language = "English",

isbn = "9781138021129",

editor = "Peter Reimann and Susan Bull and Michael Kickmeier-Rust and Vatrapu, {Ravi Kiran} and Barbara Wasson",

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Integrating and Visualising Diagnostic Information for the Benefit of Learning. / Bull, Susan; Johnson, Matthew; Masci, Drew et al.
Measuring and Visualizing Learning in the Information-Rich Classroom. ed. / Peter Reimann; Susan Bull; Michael Kickmeier-Rust; Ravi Kiran Vatrapu; Barbara Wasson. Routledge, 2015.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Integrating and Visualising Diagnostic Information for the Benefit of Learning

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AU - Johnson, Matthew

AU - Masci, Drew

AU - Biel, Carmen

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AB - This chapter introduces the notion of independent open learner models, explaining how this type of learning analytics visualisation - derived from inferences about learner competencies based on diagnostic processes - can support learners and teachers throughout the learning process. We illustrate using visualisations from the Next-TELL independent open learner model, which can integrate data from a range of tools and activities.

U2 - 10.4324/9781315777979

DO - 10.4324/9781315777979

M3 - Chapter (peer-reviewed)

SN - 9781138021129

BT - Measuring and Visualizing Learning in the Information-Rich Classroom

A2 - Reimann, Peter

A2 - Bull, Susan

A2 - Kickmeier-Rust, Michael

A2 - Vatrapu, Ravi Kiran

A2 - Wasson, Barbara

PB - Routledge

ER -

Integrating and Visualising Diagnostic Information for the Benefit of Learning

Abstract

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Projects

FP7_COLLAB_NEXT-TELL: Next Generation Teaching, Education and Learning for Life

Cite this