Beyond Bias in Student Satisfaction Surveys: Exploring the Role of Grades and Satisfaction with the Learning Design
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| Title: | Beyond Bias in Student Satisfaction Surveys: Exploring the Role of Grades and Satisfaction with the Learning Design |
|---|---|
| Language: | English |
| Authors: | Francielle Marques (ORCID |
| Source: | Journal of New Approaches in Educational Research. 2025 14. |
| Availability: | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Peer Reviewed: | Y |
| Page Count: | 13 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Student Satisfaction, Student Attitudes, Student Surveys, Courses, Higher Education, Educational Assessment, Educational Quality, Bias, Influences, Equal Opportunities (Jobs), Faculty Promotion, Evaluation Utilization, Foreign Countries, Undergraduate Students, Program Evaluation, Decision Making, Grades (Scholastic), Instructional Design |
| Geographic Terms: | Spain |
| DOI: | 10.1007/s44322-025-00030-3 |
| ISSN: | 2254-7339 |
| Abstract: | Course satisfaction surveys play a relevant role in Higher Education, aiding in the quality assessment of courses and informing academic promotions. Nonetheless, understanding potential biases and influential factors within these surveys is crucial to their equitable utilization within universities. This study delves into a deconstruction of satisfaction ratings considering three learning design factors (content, methodology, and workload) and their interplay with student grades. Especially emphasizing the need for institutional analytics to engage in Generative Uncertainty, aiding productive inquiries using data. Institutional analytics of the 2021-2022 and 2022-2023 survey results from a Spanish university revealed that learning design aspects strongly correlate with students' holistic perception of a course. The correlation between student grades and student satisfaction related to learning design is either weak or moderate. These analytical findings imply that there may be bias in students' responses to course satisfaction surveys (e.g., lower grades leading to lower satisfaction). However, this bias doesn't consistently manifest. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1461845 |
| Database: | ERIC |
| Abstract: | Course satisfaction surveys play a relevant role in Higher Education, aiding in the quality assessment of courses and informing academic promotions. Nonetheless, understanding potential biases and influential factors within these surveys is crucial to their equitable utilization within universities. This study delves into a deconstruction of satisfaction ratings considering three learning design factors (content, methodology, and workload) and their interplay with student grades. Especially emphasizing the need for institutional analytics to engage in Generative Uncertainty, aiding productive inquiries using data. Institutional analytics of the 2021-2022 and 2022-2023 survey results from a Spanish university revealed that learning design aspects strongly correlate with students' holistic perception of a course. The correlation between student grades and student satisfaction related to learning design is either weak or moderate. These analytical findings imply that there may be bias in students' responses to course satisfaction surveys (e.g., lower grades leading to lower satisfaction). However, this bias doesn't consistently manifest. |
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| ISSN: | 2254-7339 |
| DOI: | 10.1007/s44322-025-00030-3 |
