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George, Michael; Milman, Yevgeniy – Journal of Mathematics Education at Teachers College, 2019
Low passing rates in developmental mathematics have been a serious concern for community colleges for many years. A course in Quantitative Literacy (QL) offers non-STEM students an alternative option to introductory algebra as a path to a degree. This paper describes the implementation and evolution of QL at the Borough of Manhattan Community…
Descriptors: Community Colleges, Two Year College Students, Developmental Studies Programs, Remedial Mathematics
Fong, Kristen E.; Melguizo, Tatiana; Prather, George – Research in Higher Education, 2015
This study tracks students' progression through developmental math sequences and defines progression as both attempting and passing each level of the sequence. A model of successful progression in developmental education was built utilizing individual-, institutional-, and developmental math-level factors. Employing step-wise logistic regression…
Descriptors: Developmental Programs, Remedial Mathematics, Program Improvement, Sequential Approach
Huang, Melrose; Norman, Jon; Yamada, Hiroyuki – Carnegie Foundation for the Advancement of Teaching, 2018
Since 2011, Statway®, an alternative pathway to completing college-level developmental mathematics, has evolved from a two-semester sequence into a single-semester course. As of the 2016-2017 academic year, five institutions have offered an accelerated one-term version of Statway. This paper describes why these colleges chose to implement…
Descriptors: Developmental Studies Programs, Remedial Mathematics, College Mathematics, Statistics
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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