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Say What? Automatic Modeling of Collaborative Problem Solving Skills from Student Speech in the Wild
Peer reviewed
Download full textPugh, Samuel L.; Subburaj, Shree Krishna; Rao, Arjun Ramesh; Stewart, Angela E. B.; Andrews-Todd, Jessica; D'Mello, Sidney K. – International Educational Data Mining Society, 2021
We investigated the feasibility of using automatic speech recognition (ASR) and natural language processing (NLP) to classify collaborative problem solving (CPS) skills from recorded speech in noisy environments. We analyzed data from 44 dyads of middle and high school students who used videoconferencing to collaboratively solve physics and math…
Descriptors: Problem Solving, Cooperation, Middle School Students, High School Students
Wong, Wing-Kwong; Yin, Sheng-Kai; Yang, Chang-Zhe – International Review of Research in Open and Distance Learning, 2012
This paper presents a tool for drawing dynamic geometric figures by understanding the texts of geometry problems. With the tool, teachers and students can construct dynamic geometric figures on a web page by inputting a geometry problem in natural language. First we need to build the knowledge base for understanding geometry problems. With the…
Descriptors: Accuracy, Geometry, Geometric Concepts, Natural Language Processing
