Toward Automated Computer-Based Visualization and Assessment of Team-Based Performance

A considerable amount of research has been undertaken to provide insights into the valid assessment of team performance. However, in many settings, manual and therefore labor-intensive assessment instruments for team performance have limitations. Therefore, automated assessment instruments enable mo...

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Main Author: Ifenthaler, Dirk
Format: Journal Article
Published: American Psychological Association 2014
Online Access:http://hdl.handle.net/20.500.11937/36484
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author Ifenthaler, Dirk
author_facet Ifenthaler, Dirk
author_sort Ifenthaler, Dirk
building Curtin Institutional Repository
collection Online Access
description A considerable amount of research has been undertaken to provide insights into the valid assessment of team performance. However, in many settings, manual and therefore labor-intensive assessment instruments for team performance have limitations. Therefore, automated assessment instruments enable more flexible and detailed insights into the complex processes influencing team performance. The central objective of this study was to advance knowledge in automated assessment of team-based performance using a language-oriented approach. Fifty-six teams of learners (N = 224) in 3 experimental conditions solved 2 tasks in an online learning environment. They were analyzed with the Automated Knowledge Visualization and Assessment (AKOVIA) methodology. AKOVIA integrates a natural language-oriented algorithm and enables a structural and semantic compression of individual- and team-based knowledge representations. Findings indicate initial evidence of the feasibility and validity of the fully automated methodology. A framework for integrating research and methodology development is suggested for improving educational technology innovations such as computer-based assessment environments in international large-scale assessments.
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spelling curtin-20.500.11937-364842017-09-13T15:28:50Z Toward Automated Computer-Based Visualization and Assessment of Team-Based Performance Ifenthaler, Dirk A considerable amount of research has been undertaken to provide insights into the valid assessment of team performance. However, in many settings, manual and therefore labor-intensive assessment instruments for team performance have limitations. Therefore, automated assessment instruments enable more flexible and detailed insights into the complex processes influencing team performance. The central objective of this study was to advance knowledge in automated assessment of team-based performance using a language-oriented approach. Fifty-six teams of learners (N = 224) in 3 experimental conditions solved 2 tasks in an online learning environment. They were analyzed with the Automated Knowledge Visualization and Assessment (AKOVIA) methodology. AKOVIA integrates a natural language-oriented algorithm and enables a structural and semantic compression of individual- and team-based knowledge representations. Findings indicate initial evidence of the feasibility and validity of the fully automated methodology. A framework for integrating research and methodology development is suggested for improving educational technology innovations such as computer-based assessment environments in international large-scale assessments. 2014 Journal Article http://hdl.handle.net/20.500.11937/36484 10.1037/a0035505 American Psychological Association restricted
spellingShingle Ifenthaler, Dirk
Toward Automated Computer-Based Visualization and Assessment of Team-Based Performance
title Toward Automated Computer-Based Visualization and Assessment of Team-Based Performance
title_full Toward Automated Computer-Based Visualization and Assessment of Team-Based Performance
title_fullStr Toward Automated Computer-Based Visualization and Assessment of Team-Based Performance
title_full_unstemmed Toward Automated Computer-Based Visualization and Assessment of Team-Based Performance
title_short Toward Automated Computer-Based Visualization and Assessment of Team-Based Performance
title_sort toward automated computer-based visualization and assessment of team-based performance
url http://hdl.handle.net/20.500.11937/36484