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            <namePart type="given">Yuen-Hsien</namePart>
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    <abstract>This paper investigates what differentiates effective tutorial sessions from less effective sessions. Towards this end, we characterize and explore human tutors’ actions in tutorial dialogue sessions by mapping the tutor-tutee interactions, which are streams of dialogue utterances, into streams of actions, based on the language-as-action theory. Next, we use human expert judgment measures, evidence of learning (EL) and evidence of soundness (ES), to identify effective and ineffective sessions. We perform sub-sequence pattern mining to identify sub-sequences of dialogue modes that discriminate good sessions from bad sessions. We finally use the results of sub-sequence analysis method to generate a tutorial Markov process for effective tutorial sessions.</abstract>
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%0 Conference Proceedings
%T A Tutorial Markov Analysis of Effective Human Tutorial Sessions
%A Maharjan, Nabin
%A Rus, Vasile
%Y Tseng, Yuen-Hsien
%Y Chen, Hsin-Hsi
%Y Ng, Vincent
%Y Komachi, Mamoru
%S Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F maharjan-rus-2018-tutorial
%X This paper investigates what differentiates effective tutorial sessions from less effective sessions. Towards this end, we characterize and explore human tutors’ actions in tutorial dialogue sessions by mapping the tutor-tutee interactions, which are streams of dialogue utterances, into streams of actions, based on the language-as-action theory. Next, we use human expert judgment measures, evidence of learning (EL) and evidence of soundness (ES), to identify effective and ineffective sessions. We perform sub-sequence pattern mining to identify sub-sequences of dialogue modes that discriminate good sessions from bad sessions. We finally use the results of sub-sequence analysis method to generate a tutorial Markov process for effective tutorial sessions.
%R 10.18653/v1/W18-3704
%U https://aclanthology.org/W18-3704
%U https://doi.org/10.18653/v1/W18-3704
%P 30-34

Markdown (Informal)

[A Tutorial Markov Analysis of Effective Human Tutorial Sessions](https://aclanthology.org/W18-3704) (Maharjan & Rus, NLP-TEA 2018)

• A Tutorial Markov Analysis of Effective Human Tutorial Sessions (Maharjan & Rus, NLP-TEA 2018)

ACL

• Nabin Maharjan and Vasile Rus. 2018. A Tutorial Markov Analysis of Effective Human Tutorial Sessions. In Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications, pages 30–34, Melbourne, Australia. Association for Computational Linguistics.