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Prihar, Ethan; Haim, Aaron; Sales, Adam; Heffernan, Neil – Grantee Submission, 2022
Personalized learning stems from the idea that students benefit from instructional material tailored to their needs. Many online learning platforms purport to implement some form of personalized learning, often through on-demand tutoring or self-paced instruction, but to our knowledge none have a way to automatically explore for specific…
Descriptors: Individualized Instruction, Educational Technology, Technology Uses in Education, Electronic Learning
Linlin Li; Momo Hayakawa; Joan Freese; Beth Daniels; Gary Weiser; Kim Luttgen; Mai Chue Lor; Megan Schneider; Chun-Wei Huang; Emily Jensen – Grantee Submission, 2022
School closures because of natural phenomena, such as COVID-19, underscore long-standing gaps in access to science education in the United States of America, particularly for young students. When educators have to pivot to deliver virtual instruction, it is important to identify feasible remote learning strategies for science content across formal…
Descriptors: COVID-19, Pandemics, Science Education, Science Instruction
Danielle S. McNamara; Laura K. Allen; Scott A. Crossley; Mihai Dascalu; Cecile A. Perret – Grantee Submission, 2017
Language is of central importance to the field of education because it is a conduit for communicating and understanding information. Therefore, researchers in the field of learning analytics can benefit from methods developed to analyze language both accurately and efficiently. Natural language processing (NLP) techniques can provide such an…
Descriptors: Natural Language Processing, Learning Analytics, Educational Technology, Automation