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Direct linkJingwen Wang; Xiaohong Yang; Dujuan Liu – International Journal of Web-Based Learning and Teaching Technologies, 2024
The large scale expansion of online courses has led to the crisis of course quality issues. In this study, we first established an evaluation index system for online courses using factor analysis, encompassing three key constructs: course resource construction, course implementation, and teaching effectiveness. Subsequently, we employed factor…
Descriptors: Educational Quality, Online Courses, Course Evaluation, Models
Download full textMori, S.; Tanabe, Y. – English Language Teaching, 2015
160 non-English major students studying at a four-year university and 193 English major students studying at a career college of foreign language in Japan completed a questionnaire regarding instruction and instructor personality. The purpose of the current study was to examine whether the students' instructional and personality ratings predicted…
Descriptors: Foreign Countries, College Faculty, Personality, Teacher Characteristics
Yin, Hongbiao; Wang, Wenlan – Assessment & Evaluation in Higher Education, 2015
Assessing and improving the quality of undergraduate teaching is an important issue in China. Using the Course Experience Questionnaire, this study examined the quality of undergraduate teaching by investigating the relationships between students' course experience, the learning outcomes demonstrated by the students and the learning environment.…
Descriptors: Foreign Countries, Undergraduate Students, Teaching Methods, Instructional Effectiveness
Costa, Andreia; Steffgen, Georges – Journal of Education and Training Studies, 2015
The present study examined the relation between the amount of years of study and the perception of skill acquisition through indicators of students' satisfaction with the course program. It was hypothesized that the more years students spend at the university, the higher their perception of skill acquisition and that factors related to the course…
Descriptors: Undergraduate Students, Student Attitudes, Skill Development, Participant Characteristics
Dziuban, Charles; Moskal, Patsy – Internet and Higher Education, 2011
The authors compared the underlying student response patterns to an end-of-course rating instrument for large student samples in online, blended and face-to-face courses. For each modality, the solution produced a single factor that accounted for approximately 70% of the variance. The correlations among the factors across the class formats showed…
Descriptors: Student Attitudes, Student Reaction, Web Based Instruction, Blended Learning
Tickell, Geoffrey; Lim, Tiong Kiong; Balachandran, Balasinghan – American Journal of Business Education, 2012
This paper contributes to the continuing debate regarding the curriculum for the first undergraduate course in accounting by examining student perceptions from studying such a course. Participants are divided into two cohorts--Accounting & Finance Majors (AFM) and Other Business Majors (OBM). Results reported in this paper indicate that…
Descriptors: Majors (Students), Nonmajors, Student Attitudes, Accounting
Osler, James Edward; Mansaray, Mahmud A. – Journal of Educational Technology, 2013
The online deployment of Technology Engineered online Student Ratings of Instruction (SRIs) by colleges and universities in the United States has dynamically changed the deployment of course evaluation. This research investigation is the fourth part of a post hoc study that analytically and psychometrically examines the design, reliability, and…
Descriptors: Course Evaluation, Educational Technology, Black Colleges, Higher Education
Tamim, Rana M.; Lowerison, Gretchen; Schmid, Richard F.; Bernard, Robert M.; Abrami, Philip C. – Journal of Computing in Higher Education, 2011
This study investigated the change in the relationship between pedagogy, computer-use and students' perceptions about course-effectiveness over time. Students from a Canadian university completed a questionnaire in two different years (2003 = 1,834 participants and 2007 = 1,866 participants). Of greatest interest were characteristics of technology…
Descriptors: Foreign Countries, College Students, Student Attitudes, Computer Uses in Education
Seng, Khoo Hock; Fraser, Barry J. – Technology, Pedagogy and Education, 2008
Reviews of past research on psychosocial learning environments show that relatively few studies have involved the use of environment dimensions either as criterion variables in the evaluation computer education programs or with adult learners (in contrast to elementary and secondary school students). This study is distinctive in that it used a…
Descriptors: Student Attitudes, Program Evaluation, Adult Education, Factor Structure
Marsh, Herbert W.; And Others – 1976
The relationship between grades that students expected to receive and their evaluations of instructional quality was investigated. Correlations between expected grades and 10 evaluation scores--eight evaluation factors and two overall summary items--were based on the average responses in 591 undergraduate classes offered one term at the University…
Descriptors: Bias, College Faculty, College Students, Correlation
Villano, Maurice W.; Joseph, John – 1975
This investigation studied the effect of teaching satisfaction and related classroom environmental variables on student evaluations of instruction where the assigned instructor and course subject were held constant over two successive academic terms at a branch campus of a major state university. Scores on two dimensions of teaching, Instructor…
Descriptors: Classroom Environment, College Faculty, College Students, Correlation
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
