Automated classification of CPS discourse combined with the Synergy Degree Model produces group-level synergy degrees that distinguish collaborative quality and reveal task-type differences in MOOC groups.
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A schema-constrained LLM framework extracts competencies from a university CS curriculum and job postings, then quantifies supply-demand gaps using ESCO and SBERT, finding notable shortfalls in general skills and algorithms.
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Modeling Collaborative Problem Solving Dynamics from Group Discourse: A Text-Mining Approach with Synergy Degree Model
Automated classification of CPS discourse combined with the Synergy Degree Model produces group-level synergy degrees that distinguish collaborative quality and reveal task-type differences in MOOC groups.