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Kopanidis, Foula Zografina; Shaw, Michael John – Education & Training, 2017
Purpose: Educational institutions are caught between increasing their offer rates and attracting and retaining those prospective students who are most suited to course completion. The purpose of this paper is to demonstrate the influence of demographic and psychological constructs on students' preferences when choosing to study in a particular…
Descriptors: Student Attitudes, Course Selection (Students), Preferences, Models
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Kardan, Ahmad A.; Sadeghi, Hamid; Ghidary, Saeed Shiry; Sani, Mohammad Reza Fani – Computers & Education, 2013
Students are required to choose courses they are interested in for the coming semester. Due to restrictions, including lack of sufficient resources and overheads of running several courses, some universities might not offer all of a student's desirable courses. Universities must know every student's demands for every course prior to each semester…
Descriptors: Accuracy, Web Based Instruction, College Students, Electronic Learning
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Berk, Louis J.; Muret-Wagstaff, Sharon L.; Goyal, Riya; Joyal, Julie A.; Gordon, James A.; Faux, Russell; Oriol, Nancy E. – Advances in Physiology Education, 2014
The most effective ways to promote learning and inspire careers related to science, technology, engineering, and mathematics (STEM) remain elusive. To address this gap, we reviewed the literature and designed and implemented a high-fidelity, medical simulation-based Harvard Medical School MEDscience course, which was integrated into high school…
Descriptors: Physiology, High Schools, Science Education, STEM Education
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Bunting, C. F.; Cheville, R. A. – IEEE Transactions on Education, 2009
A two-course sequence in electromagnetics (EM) was developed in order to address a perceived lack of student learning and engagement observed in a traditional, lecture-based EM course. The two-course sequence is named VECTOR: Vitalizing Electromagnetic Concepts To Obtain Relevance. This paper reports on the first course of the sequence. VECTOR…
Descriptors: Student Attitudes, Active Learning, Lecture Method, Engineering Education
Schiel, Jeff L.; King, Jason E. – 1999
Analyses of data from operational course placement systems are subject to the effects of truncation; students with low placement test scores may enroll in a remedial course, rather than a standard-level course, and therefore will not have outcome data from the standard course. In "soft" truncation, some (but not all) students who score…
Descriptors: Course Selection (Students), Definitions, Estimation (Mathematics), Higher Education
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McFarland, Daniel A.; Rodan, Simon – Sociology of Education, 2009
Prior work has proposed different theoretical mechanisms to explain students' course-taking patterns in schools. On the one hand, there are oversocialized accounts that claim that rules, social background factors, and supply-side factors shape observed career patterns. On the other hand, there are undersocialized accounts that claim that the…
Descriptors: Course Selection (Students), Socioeconomic Background, High School Students, Mathematics Instruction
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Wilhelm, Wendy Bryce – Journal of Marketing Education, 2004
One hundred and twenty-seven undergraduate business majors at a regional northwestern university completed a series of hypothetical choice tasks in which they were asked to choose between two courses that varied with respect to the instructor's course evaluations, grading leniency, the course's worth/usefulness, and the assigned workload. Data…
Descriptors: Course Evaluation, Grading, Data Analysis, Student Attitudes