Abstract
Teachers often have difficulties understanding many aspects of score reports for assessments, thus hindering their ability to help students. Computerized environments with natural language conversations may help teachers better understand these reports. Thus, we created a tutor on score reports for teachers based on the AutoTutor conversational framework, which conventionally teaches various topics to students rather than teachers. We conducted a pilot study where eight teachers completed interaction with the tutor, providing a total of 98 responses. Results revealed specific ways the framework may be altered for teachers as well as teachers’ overall favorable attitudes towards the tutor.
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Forsyth, C.M., Peters, S., Zapata-Rivera, D., Lentini, J., Graesser, A., Cai, Z. (2017). Interactive Score Reporting: An AutoTutor-Based System for Teachers. In: André, E., Baker, R., Hu, X., Rodrigo, M., du Boulay, B. (eds) Artificial Intelligence in Education. AIED 2017. Lecture Notes in Computer Science(), vol 10331. Springer, Cham. https://doi.org/10.1007/978-3-319-61425-0_51
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DOI: https://doi.org/10.1007/978-3-319-61425-0_51
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