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Doris U. Bolliger; Florence Martin; Stella Kim – Educational Technology Research and Development, 2024
Learner satisfaction is an important element in online learning because it impacts achievement motivation, success, and retention. It was the purpose of this study to develop an instrument that measures the satisfaction of learners in online learning environments. Data were collected from 335 students at higher education institutions. The Online…
Descriptors: Likert Scales, Test Construction, Test Validity, Student Satisfaction
Vaziri, Stacey; Vaziri, Baback; Novoa, Luis J.; Torabi, Elham – INFORMS Transactions on Education, 2022
The MUSIC (eMpowerment, Usefulness, Success, Interest, Caring) Model of Academic motivation was developed to help instructors promote student motivation in the classroom. This study examines relationships among student perceptions of motivation and effort compared with their performance in undergraduate business analytics courses. Specifically,…
Descriptors: Student Motivation, Introductory Courses, Business Administration Education, Data Analysis
Park, Minjung; Koo, Jayoung – Marketing Education Review, 2022
This study investigates the predictors of students' course evaluations and course grades in online team-based learning marketing courses during the COVID-19 pandemic. In Study 1, eighty-three undergraduate students taking a variety of team-based learning marketing courses at two different universities participated in an online survey. Multiple…
Descriptors: COVID-19, Pandemics, Predictor Variables, Course Evaluation
Signorini, Adriana; Abuan, Mariana; Panakkal, Gautam; Dorantes, Sandy – To Improve the Academy, 2020
The purpose of the student evaluations of teaching (SET) are to help instructors enhance the teaching and learning experience in their courses; however, student feedback can often be more unconstructive than useful because students are usually requested to evaluate instruction with little or no formal training. As a result, SET become missed…
Descriptors: Student Evaluation of Teacher Performance, Course Evaluation, Training, Scoring Rubrics
Park, Eunkyoung; Dooris, John – Assessment & Evaluation in Higher Education, 2020
This study uses decision tree analysis to determine the most important variables that predict high overall teaching and course scores on a student evaluation of teaching (SET) instrument at a large public research university in the United States. Decision tree analysis is a more robust and intuitive approach for analysing and interpreting SET…
Descriptors: Predictor Variables, Student Evaluation of Teacher Performance, Decision Making, Statistical Analysis
Reynolds, Katherine; Ludlow, Larry – Journal on Excellence in College Teaching, 2020
Student perceptions of instructor availability outside of class are examined both as a predictor of instructor quality and as an outcome of student, instructor, and course characteristics. Data represent a 30-year case study record of course evaluations and instructor professional and personal variables. Student perceptions of instructor…
Descriptors: College Faculty, College Students, Teacher Student Relationship, Course Evaluation
Patton, Belinda Andromeda – ProQuest LLC, 2020
The rise in demand for computer programming jobs has created a significant need for computer programming training. Online learning can be an effective tool for meeting the needs of these job demands. The challenge for universities is that computer programming is perceived as a difficult course by many students (Askar & Davenport, 2009; Baser,…
Descriptors: Student Attitudes, Undergraduate Students, Programming, Computer Science Education
Kaplon-Schilis, Aleksandra; Lyublinskaya, Irina – Technology, Knowledge and Learning, 2020
This long-term single group study was conducted with pre-service special education elementary teachers taking a required graduate level course on integrating technology into mathematics and science instruction in a New York City public University. The purpose of this study was to explore whether Technological Knowledge (TK), Pedagogical Knowledge…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Mathematics Education, Science Education
Conijn, R.; Van den Beemt, A.; Cuijpers, P. – Journal of Computer Assisted Learning, 2018
Predicting student performance is a major tool in learning analytics. This study aims to identify how different measures of massive open online course (MOOC) data can be used to identify points of improvement in MOOCs. In the context of MOOCs, student performance is often defined as course completion. However, students could have other learning…
Descriptors: Predictor Variables, Academic Achievement, Blended Learning, Online Courses
Ihtiyaroglu, Neslin – Educational Sciences: Theory and Practice, 2018
The aim of this study is to determine the predictive role of pre-service teachers' views on professional teaching knowledge courses on their satisfaction levels in relation to faculty of education. In the study, sequential transformative design, which is one of the mixed methods, was used. Faculty of Education Course Evaluation Scale and Faculty…
Descriptors: Teacher Effectiveness, Mixed Methods Research, Predictor Variables, Role
Meyer, J. Patrick; Doromal, Justin B.; Wei, Xiaoxin; Zhu, Shi – Research in Higher Education, 2017
We developed a criterion-referenced student rating of instruction (SRI) to facilitate formative assessment of teaching. It involves four dimensions of teaching quality that are grounded in current instructional design principles: Organization and structure, Assessment and feedback, Personal interactions, and Academic rigor. Using item response…
Descriptors: Criterion Referenced Tests, Student Evaluation of Teacher Performance, Instructional Effectiveness, Course Evaluation
Grewe, Kim E.; Davis, W. Preston – International Review of Research in Open and Distributed Learning, 2017
Open Educational Resources (OER) are gaining acceptance as legitimate and effective teaching materials in higher education, particularly in 2-year institutions. Despite the steady growth in the availability and use of OER, there have been relatively few studies on the efficacy of OER and student achievement. This study analyzed the effect…
Descriptors: Outcomes of Education, Program Effectiveness, Open Source Technology, Educational Resources
Al Kuwaiti, Ahmed; AlQuraan, Mahmoud; Subbarayalu, Arun Vijay – Cogent Education, 2016
Objective: This study aims to investigate the interaction between response rate and class size and its effects on students' evaluation of instructors and the courses offered at a higher education Institution in Saudi Arabia. Study Design: A retrospective study design was chosen. Methods: One thousand four hundred and forty four different courses…
Descriptors: Student Evaluation of Teacher Performance, Class Size, Response Rates (Questionnaires), Teacher Effectiveness
Dwyer, Karen
Kangas; Davidson, Marlina M. – Communication Teacher, 2013
As part of a yearly university mandated assessment of a large basic communication course that fulfills the oral communication general education requirement, this study examined student preferences for textbooks, reading, and learning. Specifically, basic course students ("N"=321) at a large state university in the Midwest were asked to…
Descriptors: Speech Communication, General Education, Course Evaluation, Preferences
Ludlow, Larry; Klein, Kelsey – Journal of Statistics Education, 2014
Correlated predictors in regression models are a fact of life in applied social science research. The extent to which they are correlated will influence the estimates and statistics associated with the other variables they are modeled along with. These effects, for example, may include enhanced regression coefficients for the other variables--a…
Descriptors: Statistics, Correlation, Predictor Variables, Regression (Statistics)

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