Literaturnachweis - Detailanzeige
| Autor/inn/en | Sullivan, Florence R.; Keith, P. Kevin |
|---|---|
| Titel | Exploring the Potential of Natural Language Processing to Support Microgenetic Analysis of Collaborative Learning Discussions |
| Quelle | In: British Journal of Educational Technology, 50 (2019) 6, S.3047-3063 (17 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0007-1013 |
| DOI | 10.1111/bjet.12875 |
| Schlagwörter | Natural Language Processing; Discourse Analysis; Group Discussion; Middle School Students; Robotics; Cooperative Learning; Small Group Instruction; Computational Linguistics |
| Abstract | In this study, we explore the potential of a natural language processing (NLP) approach to support discourse analysis of in-situ, small group learning conversations. The theoretical basis of this work derives from Bakhtin's notion of speech genres as bounded by educational robotics activity. Our goal is to leverage computational linguistics methods to advance and improve educational research methods. We used a parts-of-speech (POS) tagging program to automatically parse a transcript of spoken dialogue collected from a small group of middle school students involved in solving a robotics challenge. We grammatically parsed the dialogue at the level of the trigram. Then, through a deliberative process, we mapped the POS trigrams to our theoretically derived problem solving in computational environments coding system. Next, we developed a stacked histogram visualization to identify rich interactional segments in the data. Seven segments of the transcript were thus identified for closer analysis. Our NLP-based approach partially replicated prior findings. Here, we present the theoretical basis for the work, our analytical approach in exploring this NLP-based method, and our research findings. (As Provided). |
| Anmerkungen | Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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