Automatic Coding of Collective Creativity Dialogues in Collaborative Problem Solving Based on Deep Learning Models

Zongxi Li, Haoran Xie, Minhong Wang, Bian Wu, Yiling Hu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationBlended Learning
Subtitle of host publicationEngaging Students in the New Normal Era - 15th International Conference, ICBL 2022, Proceedings
EditorsRichard Chen Li, Simon K. Cheung, Peter H. Ng, Leung-Pun Wong, Fu Lee Wang
Pages123-134
Number of pages12
DOIs
Publication statusPublished - 2022
Event15th International Conference on Blended Learning, ICBL 2022 - Virtual, Online
Duration: 19 Jun 202222 Jun 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13357 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Blended Learning, ICBL 2022
CityVirtual, Online
Period19/06/2222/06/22

Keywords

  • Collaborative problem solving
  • Deep learning
  • Discourse analysis
  • Natural language processing

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