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Download full textCrossley, Scott A.; Karumbaiah, Shamya; Ocumpaugh, Jaclyn; Labrum, Matthew J.; Baker, Ryan S. – Journal of Learning Analytics, 2020
This study builds on prior research by leveraging natural language processing (NLP), click-stream analyses, and survey data to predict students' mathematics success and math identity (namely, self-concept, interest, and value of mathematics). Specifically, we combine NLP tools designed to measure lexical sophistication, text cohesion, and…
Descriptors: Elementary School Mathematics, Blended Learning, Self Concept, Audience Response Systems
