Group awareness tools (GAT), or widgets, subtly scaffold computer-supported collaborative learning (CSCL) by visualizing qualities of the learning process supporting learners’ self-regulation. Some central interaction qualities, like transactivity, i.e., operating on the reasoning of the other, and epistemics, i.e., how learners are using concepts on the task, have been difficult to analyze (and visualize) in run-time. In a closed online environment, a transactive and epistemic GAT provides real-time analysis of the discourse using the XLM-R multi-lingual masked language model. The discourse analysis system runs on an independent server allowing local control of data and manipulation of feedback visualization for participants within the chat environment. A pilot test of the widgets provided initial findings that suggest effective functioning of this GAT. This demo allows participants to engage in an online discussion in pairs, and experience how the widgets visualize their conversation in terms of how much they build on others’ reasoning and what concepts they use to solve the task, which in turn can influence their subsequent discourse patterns.

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Is My Conversation Really Constructing Knowledge? Epistemic and Transactivity Group Awareness Widgets to Raise Participant Awareness During Online Discourse

  • William Pfannenstiel,
  • Saroj Sharma,
  • Albulene Grajcevci,
  • Armin Weinberger

摘要

Group awareness tools (GAT), or widgets, subtly scaffold computer-supported collaborative learning (CSCL) by visualizing qualities of the learning process supporting learners’ self-regulation. Some central interaction qualities, like transactivity, i.e., operating on the reasoning of the other, and epistemics, i.e., how learners are using concepts on the task, have been difficult to analyze (and visualize) in run-time. In a closed online environment, a transactive and epistemic GAT provides real-time analysis of the discourse using the XLM-R multi-lingual masked language model. The discourse analysis system runs on an independent server allowing local control of data and manipulation of feedback visualization for participants within the chat environment. A pilot test of the widgets provided initial findings that suggest effective functioning of this GAT. This demo allows participants to engage in an online discussion in pairs, and experience how the widgets visualize their conversation in terms of how much they build on others’ reasoning and what concepts they use to solve the task, which in turn can influence their subsequent discourse patterns.