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Abstract
Prompted self-explanation is a successful intervention for many domains. However, in our previous work within the domain of second language grammar learning, we found no advantage for self-explanation over practice alone. Here, we continue testing the generality of self-explanation through the development of an adaptive self-explanation tutor and report on results of a classroom evaluation (N=92) in which we compare the adaptive tutor to a practice-only tutor. We investigate both procedural and declarative knowledge acquisition as well as long-term retention. Results show that while self-explanation takes more time than practice alone, it leads to greater learning of declarative knowledge. However, there are no differences between conditions on immediate or long-term retention measures of procedural knowledge.
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References
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Authors and Affiliations
Human-Computer Interaction Institute, Carnegie Mellon University, USA
Ruth Wylie & Kenneth R. Koedinger
Rice University, USA
Melissa Sheng
Language Technologies Institute, Carnegie Mellon University, USA
Teruko Mitamura
- Ruth Wylie
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- Melissa Sheng
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- Teruko Mitamura
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Editors and Affiliations
EECS Department/ISIS, Vanderbilt University, TN 37235, Nashville, USA
Gautam Biswas
Electronic, Electrical and Computer Engineering, University of Birmingham, U.K.
Susan Bull
School of Information Technologies, University of Sydney, 1 Cleveland Street, 2006, Sydney, Australia
Judy Kay
College of Engineering, Department of Computer Science and Software Engineering, University of Canterbury, Private Bag 4800, 8140, Christchurch, New Zealand
Antonija Mitrovic
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Wylie, R., Sheng, M., Mitamura, T., Koedinger, K.R. (2011). Effects of Adaptive Prompted Self-explanation on Robust Learning of Second Language Grammar. In: Biswas, G., Bull, S., Kay, J., Mitrovic, A. (eds) Artificial Intelligence in Education. AIED 2011. Lecture Notes in Computer Science(), vol 6738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21869-9_110
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