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Automating Student Assessment Using Digital Data to Improve Education Management Effectiveness in Higher Education Institutions

Authors :
Chun Liu
Source :
Education and Information Technologies. 2024 29(2):1885-1901.
Publication Year :
2024

Abstract

The objectives of this work are to investigate the impact of automating the student assessment process using the Schoology web-based learning management system as an example and determine its effectiveness and usability by performing a comparative analysis between the survey results of educators and students. The research methodology is based on an exploratory survey using a data collection questionnaire composed of closed-ended questions. The respondents are 630 students and 159 faculty members from three Chinese higher education institutions. The data analysis enables the conclusion that the overall student and faculty satisfaction with Schoology is high (83.4% and 55%, respectively). The students and educators indicate that with the introduction of Schoology, learning and teaching became easier (82.5% and 53.4%, respectively). In line with this, the analysis of the effect of the automated performance assessment implementation on student academic performance find that learners are more prone to better learning outcomes after this system's launching. The practical significance of this paper is that it demonstrates the positive influence of the Schoology system on educational process effectiveness.

Details

Language :
English
ISSN :
1360-2357 and 1573-7608
Volume :
29
Issue :
2
Database :
ERIC
Journal :
Education and Information Technologies
Publication Type :
Academic Journal
Accession number :
EJ1411709
Document Type :
Journal Articles<br />Reports - Research
Full Text :
https://doi.org/10.1007/s10639-023-11898-z