Computer Science – Learning
Scientific paper
Dec 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006aas...20914501h&link_type=abstract
2007 AAS/AAPT Joint Meeting, American Astronomical Society Meeting 209, #145.01; Bulletin of the American Astronomical Society,
Computer Science
Learning
Scientific paper
Entering college freshmen, in increasing numbers, in practically every public institution of higher learning are in need of one or two remedial math courses. This is particularly a big problem at the Historically Black Colleges and Universities where a large number of remedial math course sections are offered to meet the growing demand for such courses. For most of these students, graduation is delayed by at least a year. In addition, these students continue to be taught by teaching methodologies that did not work for them even in high schools resulting in disgust and hatred for math. This situation makes entry for these students into STEM areas difficult and is the perfect recipe for failure in STEM disciplines if they enroll in college level courses. The University of the District of Columbia (UDC) is no exception.
A first attempt was made in summer 2006 to remedy this situation. The problem for this exploratory research study was to ascertain if a short, intensive six-week project in basic math and introductory algebra would produce a recognizable improvement in the math performance of entering UDC freshmen students as measured by the UDC math placement test.
The results are eye opening. On the pre-test for basic math (005), the mean score for the group (N=10) was 35.6, with the passing score being 70. On the post-test, the mean increased to 63.4 showing an improvement of 78 percent. The authors will present the results of this research study at the conference
Hughes Anne O.
Khatri Devvrath
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