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Full-Text Articles in Education

The High Costs Of Large Enrollment Classes: Can Cooperative Learning Help?, Tisha L. N. Emerson, Linda K. English, Kimmarie Mcgoldrick Jan 2018

The High Costs Of Large Enrollment Classes: Can Cooperative Learning Help?, Tisha L. N. Emerson, Linda K. English, Kimmarie Mcgoldrick

Economics Faculty Publications

We examine the potential for cooperative learning activities to offset costs of large enrollment courses. We use a quasi-experimental research design to examine achievement and course perceptions in small and large enrollment sections of microeconomic principles. While large enrollment sections attain lower levels of achievement (measured by course score) than those with smaller enrollments, this effect is partially mitigated by use of cooperative learning. Furthermore, while students in large enrollment sections report lower levels of satisfaction and learning than students in smaller sized classes, the use of cooperative learning eliminates the negative effects of increased class size on student perceptions.


Measuring Faculty Teaching Effectiveness Using Conditional Fixed Effects, Maia K. Linask, James Monks Jan 2018

Measuring Faculty Teaching Effectiveness Using Conditional Fixed Effects, Maia K. Linask, James Monks

Economics Faculty Publications

Using a dataset of 48 faculty members and 88 courses over 26 semesters, the authors estimate Student Evaluation of Teaching (SET) ratings that are conditional on a multitude of course, faculty, and student attributes. They find that ratings are lower for required courses and those where students report a lower prior level of interest. Controlling for these variables substantially alters the SET ratings for many instructors. The average absolute value of the difference between the faculty ratings controlling just for time effects and fully conditional ratings is nearly one-half of a standard deviation in the students’ rating of how much ...


Empirical Methods For Predicting Student Retention- A Summary From The Literature, Matt Bogard May 2011

Empirical Methods For Predicting Student Retention- A Summary From The Literature, Matt Bogard

Economics Faculty Publications

The vast majority of the literature related to the empirical estimation of retention models includes a discussion of the theoretical retention framework established by Bean, Braxton, Tinto, Pascarella, Terenzini and others (see Bean, 1980; Bean, 2000; Braxton, 2000; Braxton et al, 2004; Chapman and Pascarella, 1983; Pascarell and Ternzini, 1978; St. John and Cabrera, 2000; Tinto, 1975) This body of research provides a starting point for the consideration of which explanatory variables to include in any model specification, as well as identifying possible data sources. The literature separates itself into two major camps including research related to the hypothesis testing ...


The Impact Of Class Size On Outcomes In Higher Education, James Monks, Robert M. Schmidt Mar 2011

The Impact Of Class Size On Outcomes In Higher Education, James Monks, Robert M. Schmidt

Economics Faculty Publications

Numerous studies have investigated the impact of class size on student outcomes. This analysis contributes to this discussion by isolating the impact of class size on student outcomes in higher education by utilizing a natural experiment at a selective institution which enables the estimation of class size effects conditional on the total number of students taught by a faculty member. We find that class size negatively impacts student assessments of courses and instructors. Large classes appear to prompt faculty to alter their courses in ways deleterious to students.


The Teaching American History Project: An Assessment Of Student Performance, Lewis Karstensson, James E. Davis Nov 2006

The Teaching American History Project: An Assessment Of Student Performance, Lewis Karstensson, James E. Davis

Economics Faculty Publications

This study examines selected effects of a teaching program in American history on fifth grade students in the Elk Grove (California) Unified School District.