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Identifying Students at Risk of Not Passing Introductory Physics Using Data Mining and Machine Learning.

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1. http://rave.ohiolink.edu/etdc/view?acc_num=miami1596214863294544

Identifer	oai:union.ndltd.org:OhioLink/oai:etd.ohiolink.edu:miami1596214863294544
Date	03 August 2020
Creators	McKeague-McFadden, Ikaika A.
Publisher	Miami University / OhioLINK
Source Sets	Ohiolink ETDs
Language	English
Detected Language	English
Type	text
Source	http://rave.ohiolink.edu/etdc/view?acc_num=miami1596214863294544
Rights	unrestricted, This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.