Ordered Network Analysis of Epistemic Emotions during Collaborative Problem Solving

Created: 2026-07-28 | Tags: affective-computinghuman-in-the-looplearning-analytics

Sifatul Anindho, Videep Venkatesha, Jaclyn Ocumpaugh, Nathaniel Blanchard (2026) โ€” Colorado State University / University of Pennsylvania. arXiv preprint (cs.CY).

๐Ÿ“„ Full text (arXiv)

Anindho, Venkatesha, Ocumpaugh and Blanchard apply Ordered Network Analysis to trace how epistemic emotions such as confusion and frustration persist and transition during co-situated collaborative problem solving. The work advances affect-aware learning analytics by modeling the temporal ordering of emotional states rather than static frequencies, informing when interventions should trigger in affective-tutoring systems and multimodal detectors like multimodal-affective-its-presentation. It grounds affect dynamics in collaborative-learning contexts, complements sensor-based approaches like affective-text-wearable-student-health and video-based engagement-assessment-video.

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Citation

APA: Sifatul Anindho, Videep Venkatesha, Jaclyn Ocumpaugh, Nathaniel Blanchard (2026). Ordered Network Analysis of Epistemic Emotions during Collaborative Problem Solving. arXiv:2607.23317.