Abstract:
The Research to Practice Full Paper intends to explore the possible correlations among the distinct elements of the student evaluations. The students have their own perce...View moreMetadata
Abstract:
The Research to Practice Full Paper intends to explore the possible correlations among the distinct elements of the student evaluations. The students have their own perception of the course and instructor. The individualism of students in a class reflects the need to change instructional elements of the course when the student expectation is not satisfied thoroughly. Students ought to have their mind flooded with the things which they want to learn from the instructor. They entail improving their skills through university education for the upcoming competition of the professional world. In addition, some of the previous research indicates student evaluations are a crucial source of data available to increase the student performance of the course.As a result, the authors are dedicated to the analysis of the instructor-based questions used in the evaluations. The questionnaire usually used in a feedback form is generalized and branded according to instructional requirements. The correlation of course structure of assignment in the mind of an instructor is different than in the mind of a student. The data used include courses offered by a selected professor at the Engineering Department at University. The student evaluations cover instructor and course-based questions. This include, course structure and organization, course objective-defining and course-meeting, knowledge demonstration, concept-explaining, communication effectiveness, class discussion-stimulating, student question-answering, consultation availability, student learning facilitation by assignments, concept-reflecting by exams, timely, and constructive feedback on student work, and overall rating of the instructor. The rating scale with five response categories are employed which range from very good (1) to very poor (5). The panel data used contains mean of each question from all students enrolled during a semester. Layer in the panel data differs for a lecture course and a lab course.To capture the reli...
Published in: 2020 IEEE Frontiers in Education Conference (FIE)
Date of Conference: 21-24 October 2020
Date Added to IEEE Xplore: 04 December 2020
ISBN Information: