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Transferring Teaching to Testing – An Unexplored Aspect of Teachable Agents

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Artificial Intelligence in Education (AIED 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6738))

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Abstract

The present study examined whether socio-motivational effects from working with a Teachable Agent (TA) might transfer from the formative learning phase to a summative test situation. Forty-nine students (9-10 years old) performed a digital pretest of math skills, then played a TA-based educational math game in school over a period of eight weeks. Thereafter, the students were divided into two groups, matched according to their pretest scores, and randomly assigned one of two posttest conditions: either with the TA present, or without the TA. Results showed that low-performers on the pretest improved significantly more on the posttest than did high-performers, but only when tested with the TA. We reason that low-performers might be more susceptible to a supportive social context – as provided by their TA – for performing well in a test situation.

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© 2011 Springer-Verlag Berlin Heidelberg

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Sjödén, B., Tärning, B., Pareto, L., Gulz, A. (2011). Transferring Teaching to Testing – An Unexplored Aspect of Teachable Agents. 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_44

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  • DOI: https://doi.org/10.1007/978-3-642-21869-9_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21868-2

  • Online ISBN: 978-3-642-21869-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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