Abstract
IBM and Pearson have partnered to develop dialogue-based intelligent tutoring systems at an unprecedented scale. We leveraged the decades-long research in intelligent tutoring systems (specifically dialogue based tutoring systems) and advances in machine learning and natural language processing to create a Watson dialogue-based tutor (WDBT). WDBT is currently being used by hundreds of students across multiple institutions. This paper describes our plans for preliminary evaluations of WDBT. Our formal evaluations begin in Spring 2018 and we will present findings shortly thereafter.
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Reference
Graesser, A.C.: Learning, thinking, and emoting with discourse technologies. Am. Psychol. 66(8), 743–757 (2011)
Acknowledgements
This work was heavily supported by the broader teams at Pearson Education and IBM Research. We also thank the students and participants in our research for their invaluable feedback.
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Ventura, M. et al. (2018). Preliminary Evaluations of a Dialogue-Based Digital Tutor. In: Penstein Rosé, C., et al. Artificial Intelligence in Education. AIED 2018. Lecture Notes in Computer Science(), vol 10948. Springer, Cham. https://doi.org/10.1007/978-3-319-93846-2_90
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DOI: https://doi.org/10.1007/978-3-319-93846-2_90
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