NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20260
Since 20250
Since 2022 (last 5 years)3
Since 2017 (last 10 years)12
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 12 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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