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Peer reviewedGarrard, Judith; And Others – Journal of Medical Education, 1972
Descriptors: Course Evaluation, Higher Education, Medical Education, Medical Schools
Peer reviewedLewis, Brian N. – British Journal of Educational Technology, 1972
Descriptors: Course Evaluation, Evaluation Needs, Higher Education, Home Study
Cossman, George W. – J Res Sci Teaching, 1969
Describes procedures, results, and conclusions of a study designed to evaluate the success achieved in an experimental secondary school course aimed at fostering scientific literacy. The pretest-posttest control group design with matching was used. Results indicated that pretreatment-posttreatment growth score differences between the comparison…
Descriptors: Course Evaluation, Curriculum, Scientific Attitudes, Scientific Literacy
Dillman, Terry – Todays Educ, 1970
Descriptors: College Students, Course Evaluation, Student Attitudes, Teacher Effectiveness
Butman, Jean – Classroom Interaction Newsletter, 1971
Descriptors: Course Evaluation, Evaluation, Inquiry, Instructional Materials
Cassel, Russell N. – Improving College and University Teaching, 1971
Descriptors: Course Evaluation, Higher Education, Questionnaires, Rating Scales
Whitfield, R. C.; Kerr, J. F. – Record, 1970
Descriptors: Academic Achievement, Course Evaluation, Course Objectives, Evaluation Methods
Moss, Leonard – Educ Forum, 1970
Descriptors: Audiovisual Instruction, Course Evaluation, Educational Television, Higher Education
Grover, Burton L. – Educ Leadership, 1970
Descriptors: Behavioral Objectives, Course Evaluation, Evaluation Methods, Linguistics
McClelland, James N. – Calif J Educ Res, 1970
A study showed that student opinion could be affected by publishing results of earlier student ratings, but that these influences were not permanent; course changes would be reflected in later ratings. (DR)
Descriptors: Course Evaluation, Instruction, Instructional Improvement, Professors
Peer reviewedLueptow, Lloyd B.; And Others – Educational and Psychological Measurement, 1976
After taking tests in introductory college courses, students were asked to rate the quality of the items. Correlations between student ratings and item-test point biserial correlations revealed little or no relationship except for a subset of students who had performed well when taking the tests. (JKS)
Descriptors: College Students, Correlation, Course Evaluation, Item Analysis
Peer reviewedRangecroft, Margaret; Gilroy, Peter; Long, Peter; Tricker, Tony – Open Learning, 1999
Reports on a survey of distance education students that was conducted to determine what they perceived as important in their courses, to investigate ways in which this data might be used by course directors, and to apply the data to develop a version of a service template for evaluating distance education courses. (Author/LRW)
Descriptors: Course Evaluation, Distance Education, Evaluation Methods, Student Attitudes
Peer reviewedDuncan, John; Wallace, Mary K. – Delta Pi Epsilon Journal, 2002
Problems in the assessment of online courses relate to decisions about what types of delivery systems are most effective and relevant to which learning styles. Other issues include the commodification of distance education and the fact that most research investigates a specific course in general terms. (Contains 28 references.) (SK)
Descriptors: Course Evaluation, Educational Technology, Evaluation Methods, Instructional Effectiveness
Peer reviewedCerney, Melinda G.; Heines, Jesse M. – T.H.E. Journal, 2001
Describes the Singapore-MIT Alliance (SMA), a collaborative project in distance education that was developed to offer graduate engineering degree programs involving MIT (Massachusetts Institute of Technology), the National University of Singapore (NUS), and the Nanyang Technological University (NTU). Discusses results of student evaluations of the…
Descriptors: Course Evaluation, Distance Education, Engineering Education, Graduate Study
Direct linkRaffle, Holly; Brooks, Gordon P. – Teaching of Psychology, 2005
Violations of assumptions, inflated Type I error rates, and robustness are important concepts for students to learn in an introductory statistics course. However, these abstract ideas can be difficult for students to understand. Monte Carlo simulation methods can provide a concrete way for students to learn abstract statistical concepts. This…
Descriptors: Robustness (Statistics), Course Evaluation, Computer Software, Monte Carlo Methods
