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Benton, Stephen L.; Li, Dan – IDEA Center, Inc., 2019
Periodically, articles reporting research on student ratings of instruction (SRI), aka student evaluations of teaching, appear in the higher-education press. This literature often summarizes studies that challenge the validity and reliability of SRI. However, before drawing a conclusion about a quantitative study touted in the media, readers…
Descriptors: Credibility, Student Evaluation of Teacher Performance, Statistical Analysis, Evaluation Criteria
Thomas, Rebecca; Linder, Kathryn E.; Harper, Nick; Blyth, Warren; Lee, Victor – IDEA Center, Inc., 2019
Augmented-reality (AR) technology, and its impacts on teaching and learning, have already made their way into elementary, secondary, and higher-education classrooms. The authors discuss why AR matters in the higher-education context, and they describe current examples of AR use that can enhance teaching and learning across multiple fields in…
Descriptors: Computer Simulation, Educational Benefits, Technology Integration, College Faculty
Benton, Stephen L. – IDEA Center, Inc., 2019
IDEA's Teaching Essentials (TE) is a useful tool for gathering student feedback on how frequently an instructor exhibits each of seven behaviors that correlate most highly with student perceptions of course and teaching excellence. TE is appropriate for instructors who desire quick, sound student feedback on (a) displaying personal interest in…
Descriptors: Feedback (Response), Student Attitudes, Teacher Behavior, Teacher Competencies
Payette, Patricia R.; Brown, Marie Kendall – IDEA Center, Inc., 2018
A valuable supplement to student evaluations of teaching (SETs) is the mid-semester feedback (MSF) technique, an intervention that can facilitate meaningful improvement of the teaching and learning experience. Scheduling time for an MSF enables a systematic, formative evaluation of instruction on a specific student population in a given semester.…
Descriptors: Feedback (Response), Formative Evaluation, College Faculty, Evaluation Methods
Haladyna, Thomas M. – IDEA Center, Inc., 2018
Writing multiple-choice test items to measure student learning in higher education is a challenge. Based on extensive scholarly research and experience, the author describes various item formats, offers guidelines for creating these items, and provides many examples of both good and bad test items. He also suggests some shortcuts for developing…
Descriptors: Test Construction, Multiple Choice Tests, Test Items, Higher Education
Li, Dan; Benton, Stephen L. – IDEA Center, Inc., 2017
Despite the nearly equal gender ratio of faculty members in the United States (National Center for Education Statistics, 2016), women are still underrepresented in certain STEM (science, technology, engineering, and mathematics) fields (Committee on Equal Opportunities in Science and Engineering, 2015). Also, women tend to hold lower academic…
Descriptors: STEM Education, Females, Women Faculty, Gender Differences
Li, Dan; Benton, Stephen L. – IDEA Center, Inc., 2017
In the study evaluated in this report, the authors asked what effect survey length has on student non-response rates to individual items on IDEA's "Diagnostic Feedback" (DF) and "Learning Essentials" (LE) forms. The approach was to analyze individual student ratings of classes contained in the 2015-2016 IDEA-CL database.…
Descriptors: Response Rates (Questionnaires), Student Surveys, Test Length, Test Items
Benton, Stephen L. – IDEA Center, Inc., 2010
Since 2002, the IDEA Student Ratings of Instruction system has been available through an online survey delivery system -- IDEA Online. Initially, online survey administration was used primarily for online courses. However, the use of online surveys has increased each year in both online and traditional courses. This report summarizes findings from…
Descriptors: Student Evaluation of Teacher Performance, Conventional Instruction, Online Courses, College Students
Benton, Stephen L.; Webster, Russell; Gross, Amy B.; Pallett, William H. – IDEA Center, Inc., 2010
This report summarizes analyses performed on IDEA student ratings of instruction collected in traditional (i.e., on-campus) and online courses from 2002 to 2008. Only classes utilizing online survey delivery and identified exclusively as either traditional (N = 5,272) or online (N = 13,416) were included. Classes were removed until all…
Descriptors: College Students, Student Evaluation of Teacher Performance, Course Evaluation, Conventional Instruction
Hoyt, Donald P.; Lee, Eun-Joo – IDEA Center, Inc., 2002
A revised version of the IDEA form for collecting student ratings of instructional processes and outcomes has been administered since the fall term of the 1998-99 school year. Results from all administrations of the device from August 1998, through August 2001, constitute the basic data of this report. A total of 122 institutions of higher…
Descriptors: Student Evaluation of Teacher Performance, College Students, Rating Scales, Test Reliability
Hoyt, Donald P.; Lee, Eun-Joo – IDEA Center, Inc., 2002
Participants in the IDEA student rating system frequently ask whether or not results differ significantly among disciplines. Do disciplines emphasize different objectives? Do their students report similar levels of progress on objectives selected by the instructor? Do teaching "approaches" differ across disciplines? Do specific…
Descriptors: Intellectual Disciplines, Student Evaluation of Teacher Performance, College Students, Behavioral Objectives