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I am May Kristine Jonson Carlon, or simply, May. I work as a postdoctoral researcher with a Ph.D. in Global Engineering for Development, Environment, and Society from Tokyo Institute of Technology in the Department of Transdisciplinary Science and Engineering under the School of Environment and Society. I work with Professor Jeffrey S. Cross studying educational technology, specifically on improving the online learning experience through the use of metacognitive prompts, adaptive learning, and harvesting of implicit feedback through natural language processing.


OES vol 4: Knowledge tracing for adaptive learning in a metacognitive tutor

It is such a relief for this paper to be finally published! It was unfortunately caught in the COVID-19 commotion; it was submitted in October 2020 and was just published in May 2022, almost 19 months! I don't know if this is my best work yet, but I encourage those interested in applying machine learning techniques in different domains to check it out since I did my best to make the concepts friendly. POALS Adaptive Engine For a copy of relevant materials (e.g., presentation, paper) or any questions you may have, please feel free to reach out to me through the  Contact Me  gadget on this blog's side bar. Details Title:  Knowledge tracing for adaptive learning in a metacognitive tutor Authors:  May Kristine Jonson Carlon, Jeffrey S. Cross Venue:   Open Education Studies Specifics:  Volume 4, Issue 1, May 16, 2022, pp 206-224, De Gruyter DOI:   10.1515/edu-2022-0013  (open access) Abstract Adaptive learning is provided in intelligent tutoring systems (ITS) to enable learners with

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