Human-in-the-loop : a feedback-driven model for authoring knowledge-based interactive learning environments
While computer-based interactive learning environments can provide authentic and supportive settings for problem-based learning, they are very difficult to build. The traditional development model requires significant upfront development and results in systems that are hard to deploy and customize....
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sg-ntu-dr.10356-939062020-03-07T12:10:39Z Human-in-the-loop : a feedback-driven model for authoring knowledge-based interactive learning environments Riesbeck, Christopher K. Qiu, Lin School of Humanities and Social Sciences DRNTU::Humanities While computer-based interactive learning environments can provide authentic and supportive settings for problem-based learning, they are very difficult to build. The traditional development model requires significant upfront development and results in systems that are hard to deploy and customize. In this article, we describe a feedback-driven authoring model that aims to reduce the development difficulty by including teachers in the feedback loop to complement system feedback and incrementally author the content in the learning environment during real use. We discuss the design of INDIE, a learning environment authoring toolkit, for supporting the incremental authoring model. We present empirical results obtained from the development and use of Corrosion Investigator, a learning environment delivered by INDIE, as an example to show how the incremental authoring model is implemented in educational settings. Accepted version 2011-10-18T03:22:02Z 2019-12-06T18:47:29Z 2011-10-18T03:22:02Z 2019-12-06T18:47:29Z 2008 2008 Journal Article Qiu, L., & Riesback, C. K., (2008). Human-in-the-loop: A Feedback-driven Model for Authoring Knowledge-based Interactive Learning Environments. Journal of Educational Computing Research, 38(4), 469-509. https://hdl.handle.net/10356/93906 http://hdl.handle.net/10220/7300 10.2190/EC.38.4.e 159011 en Journal of educational computing research © 2008 Baywood Publishing Co., Inc. 42 p. |
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DRNTU::Humanities Riesbeck, Christopher K. Qiu, Lin Human-in-the-loop : a feedback-driven model for authoring knowledge-based interactive learning environments |
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While computer-based interactive learning environments can provide authentic and supportive settings for problem-based learning, they are very difficult to build. The traditional development model requires significant upfront development and results in systems that are hard to deploy and customize. In this article, we describe a feedback-driven authoring model that aims to reduce the development difficulty by including teachers in the feedback loop to complement system feedback and incrementally author the content in the learning environment during real use. We discuss the design of INDIE, a learning environment authoring toolkit, for supporting the incremental authoring model. We present empirical results obtained from the development and use of Corrosion Investigator, a learning environment delivered by INDIE, as an example to show how the incremental authoring model is implemented in educational settings. |
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School of Humanities and Social Sciences |
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School of Humanities and Social Sciences Riesbeck, Christopher K. Qiu, Lin |
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Article |
author |
Riesbeck, Christopher K. Qiu, Lin |
author_sort |
Riesbeck, Christopher K. |
title |
Human-in-the-loop : a feedback-driven model for authoring knowledge-based interactive learning environments |
title_short |
Human-in-the-loop : a feedback-driven model for authoring knowledge-based interactive learning environments |
title_full |
Human-in-the-loop : a feedback-driven model for authoring knowledge-based interactive learning environments |
title_fullStr |
Human-in-the-loop : a feedback-driven model for authoring knowledge-based interactive learning environments |
title_full_unstemmed |
Human-in-the-loop : a feedback-driven model for authoring knowledge-based interactive learning environments |
title_sort |
human-in-the-loop : a feedback-driven model for authoring knowledge-based interactive learning environments |
publishDate |
2011 |
url |
https://hdl.handle.net/10356/93906 http://hdl.handle.net/10220/7300 |
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1681046537964093440 |