Automatic detection of accommodation steps as an indicator of knowledge maturing

► This paper measures accommodation steps as indicator of knowledge maturing. ► We applied a task detection approach and observed users contributing to a wiki. ► An empirical study was conducted to set up and test the machine learning algorithms. ► The results show that we could identify accommodati...

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Veröffentlicht in:Interacting with computers 2011-05, Vol.23 (3), p.247-255
Hauptverfasser: Moskaliuk, Johannes, Rath, Andreas, Devaurs, Didier, Weber, Nicolas, Lindstaedt, Stefanie, Kimmerle, Joachim, Cress, Ulrike
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container_end_page 255
container_issue 3
container_start_page 247
container_title Interacting with computers
container_volume 23
creator Moskaliuk, Johannes
Rath, Andreas
Devaurs, Didier
Weber, Nicolas
Lindstaedt, Stefanie
Kimmerle, Joachim
Cress, Ulrike
description ► This paper measures accommodation steps as indicator of knowledge maturing. ► We applied a task detection approach and observed users contributing to a wiki. ► An empirical study was conducted to set up and test the machine learning algorithms. ► The results show that we could identify accommodation with a rate of 79.12%. Jointly working on shared digital artifacts – such as wikis – is a well-tried method of developing knowledge collectively within a group or organization. Our assumption is that such knowledge maturing is an accommodation process that can be measured by taking the writing process itself into account. This paper describes the development of a tool that detects accommodation automatically with the help of machine learning algorithms. We applied a software framework for task detection to the automatic identification of accommodation processes within a wiki. To set up the learning algorithms and test its performance, we conducted an empirical study, in which participants had to contribute to a wiki and, at the same time, identify their own tasks. Two domain experts evaluated the participants’ micro-tasks with regard to accommodation. We then applied an ontology-based task detection approach that identified accommodation with a rate of 79.12%. The potential use of our tool for measuring knowledge maturing online is discussed.
doi_str_mv 10.1016/j.intcom.2011.03.006
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1873-7951
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source Oxford University Press Journals Current
subjects Accommodation
Algorithms
Automatic
Co-evolution
Computer Science
Context-awareness
Educational psychology
Empirical analysis
Engineering Sciences
Indicators
Knowledge
Knowledge development
Knowledge maturing
Learning
Machine learning
On-line systems
Robotics
Task detection
Tasks
Wikis
title Automatic detection of accommodation steps as an indicator of knowledge maturing
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