<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Due to the great importance of student satisfaction with educational services, many HEIs conduct annual surveys. Analyzing the results of such surveys, tracking trends, and comparing the evaluation results to help governing bodies make data-driven decisions to take measures to improve the quality of courses is time-consuming and requires a lot of manual work. As a solution to the problem, this paper proposes a comprehensive approach to monitoring student satisfaction with the quality of blended learning courses. The developed software tool analyzes results and enables users with different roles to generate reports with aggregated results at different levels, allowing them to make informed decisions and take measures to ensure a higher quality of courses. The generated reports during the pilot experiments proved the tool’s applicability. This tool can be implemented in any HEI, regardless of the software systems used.</p>
</abstract>

Due to the great importance of student satisfaction with educational services, many HEIs conduct annual surveys. Analyzing the results of such surveys, tracking trends, and comparing the evaluation results to help governing bodies make data-driven decisions to take measures to improve the quality of courses is time-consuming and requires a lot of manual work. As a solution to the problem, this paper proposes a comprehensive approach to monitoring student satisfaction with the quality of blended learning courses. The developed software tool analyzes results and enables users with different roles to generate reports with aggregated results at different levels, allowing them to make informed decisions and take measures to ensure a higher quality of courses. The generated reports during the pilot experiments proved the tool’s applicability. This tool can be implemented in any HEI, regardless of the software systems used.

A Comprehensive Approach for Monitoring Student Satisfaction in Blended Learning Courses

Plovdiv University “Paisii Hilendarski”

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Due to the great importance of student satisfaction with educational services, many HEIs conduct annual surveys. Analyzing the results of such surveys,...

A Comprehensive Approach for Monitoring Student Satisfaction in Blended Learning Courses

Online veröffentlicht: 30. Nov. 2023

Seitenbereich: 181 - 198

Eingereicht: 04. Aug. 2023

Akzeptiert: 19. Okt. 2023

DOI: https://doi.org/10.2478/cait-2023-0043

Schlüsselwörter
Blended learning, Quality, Student satisfaction, Monitoring, Software tool, Decision making, HEI leadership

© 2023 Silvia N. Gaftandzhieva et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

A Comprehensive Approach for Monitoring Student Satisfaction in Blended Learning Courses

Online veröffentlicht: 30. Nov. 2023

Seitenbereich: 181 - 198

Eingereicht: 04. Aug. 2023

Akzeptiert: 19. Okt. 2023

DOI: https://doi.org/10.2478/cait-2023-0043

SchlüsselwörterBlended learning, Quality, Student satisfaction, Monitoring, Software tool, Decision making, HEI leadership

© 2023 Silvia N. Gaftandzhieva et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Blended learning, Quality, Student satisfaction, Monitoring, Software tool, Decision making, HEI leadership