@inproceedings{3f64ef5bf81647d69e150c0b3a54a588,
title = "Automatic Coding of Collective Creativity Dialogues in Collaborative Problem Solving Based on Deep Learning Models",
abstract = "Creativity and collaboration are considered core competencies of contemporary students in different education levels and disciplines. Existing research mainly focuses on the theoretical framework for computer-supported collaborative learning, and the dialogic content analysis is mainly based on expert annotating. Consequently, there is a vacuum in the direction of AI-based discourse analysis, which prevents researchers from progressing further towards automatic monitoring and assessing collective creativity in problem-solving activities. Hence, this paper aims to fill such a gap by setting a preliminary benchmark for deep learning models in dialogue coding. More concretely, we target identifying metacognition and cognition indicators in a collaborative problem-solving process based on a collective creativity coding framework. Moreover, our work goes beyond the conventional computer-mediated and dyad (one-on-one) settings and focuses on an interactive problem-oriented activity involving multiple participants. We employ deep learning models on the full transcripts collected during the activity to validate the affordance of AI-based coding models in a real teaching and learning scenario. To the best of our knowledge, it is the first attempt to introduce AI techniques into dialogue analysis in collaborative learning.",
keywords = "Collaborative problem solving, Discourse analysis, Deep learning, Natural language processing",
author = "Zongxi LI and Haoran XIE and Minhong WANG and Bian WU and Yiling HU",
year = "2022",
month = jun,
day = "18",
doi = "10.1007/978-3-031-08939-8_11",
language = "English",
isbn = "9783031089398",
series = "Lecture Notes in Computer Science",
publisher = "Springer, Cham",
pages = "123--134",
editor = "LI, {Richard Chen} and CHEUNG, {Simon K. S.} and NG, {Peter H. F.} and Leung-Pun WONG and WANG, {Fu Lee}",
booktitle = "ICBL 2022 : Blended Learning: Engaging Students in the New Normal Era",
}