2026-09-21T07:06:38Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/296882026-06-06T01:04:27Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Albert R. Meyer.
Pugh, Simone N. (Simone Nicole), 1979-
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2006-03-24T16:15:22Z
2006-03-24T16:15:22Z
2003
2003
http://hdl.handle.net/1721.1/29688
53867237
Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
Includes bibliographical references (leaf 31).
Course assessment is a valuable tool for improving teaching and learning in a class. As part of the course assessment project being started for 6.042 and several other EECS classes, students took diagnostic entry exams and end-of-term surveys in which they were asked to rate themselves on various objectives of the class. I examined this data along with the students' grades, and performed calculations such as finding correlation coefficients to determine what areas of the course might need improvement. After analyzing four semesters of 6.042, it was discovered that the correlation coefficients were not as high as expected. However, the results are still useful in assessing the course, and with several improvements to the current assessment procedure, future results may be more clear.
by Simone N. Pugh.
M.Eng.
S.B.
35 leaves
1576985 bytes
1576791 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Technical and logistical support for course assessment
Thesis
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<Abstract>Course assessment is a valuable tool for improving teaching and learning in a class. As part of the course assessment project being started for 6.042 and several other EECS classes, students took diagnostic entry exams and end-of-term surveys in which they were asked to rate themselves on various objectives of the class. I examined this data along with the students' grades, and performed calculations such as finding correlation coefficients to determine what areas of the course might need improvement. After analyzing four semesters of 6.042, it was discovered that the correlation coefficients were not as high as expected. However, the results are still useful in assessing the course, and with several improvements to the current assessment procedure, future results may be more clear.</Abstract>
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