监测混合式学习课程中学生满意度的综合方法

IF 1.2 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
S. Gaftandzhieva, R. Doneva, Milen Bliznakov
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引用次数: 0

摘要

摘要 由于学生对教育服务的满意度非常重要,许多高等院校每年都会进行调查。分析这些调查的结果、跟踪趋势、比较评价结果以帮助管理机构做出以数据为导向的决策,从而采取措施提高课程质量,既费时又需要大量的人工工作。为解决这一问题,本文提出了一种监测学生对混合式学习课程质量满意度的综合方法。所开发的软件工具可以分析结果,并让不同角色的用户生成不同层次的汇总结果报告,使他们能够做出明智的决策并采取措施,确保提高课程质量。试点实验期间生成的报告证明了该工具的适用性。无论使用何种软件系统,任何高等院校都可以使用该工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comprehensive Approach for Monitoring Student Satisfaction in Blended Learning Courses
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.
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来源期刊
Cybernetics and Information Technologies
Cybernetics and Information Technologies COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
3.20
自引率
25.00%
发文量
35
审稿时长
12 weeks
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