建立高等教育中学生对电子评价门户系统的满意度和持续使用意愿的前因模型

IF 4.9 Q1 PSYCHOLOGY, EXPERIMENTAL Computers in human behavior reports Pub Date : 2024-05-16 DOI:10.1016/j.chbr.2024.100431
Brandford Bervell , Dickson Okoree Mireku , Daniel Agyapong
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引用次数: 0

摘要

开发和实施学生评价门户系统对评价导师的教学表现和向大学当局提供建设性反馈意见大有裨益,从而提高学生的学习体验和满意度。因此,确定学生对评价门户系统满意度的决定因素在这方面至关重要。有鉴于此,本研究采用了定量研究方法和探索性调查设计。研究人员使用调查工具,通过聚类概率抽样技术从 470 名受访者中收集数据。收集到的数据采用了描述性和偏最小二乘法-结构方程模型(PLS-SEM)技术进行分析。数据分析结果显示,考核门户网站的易用性、系统信息显示和系统性能这三个因素对学生的考核门户网站使用满意度有积极的预测作用。此外,研究还发现,考核门户网站的信息显示和门户网站的易用性与门户网站的绩效呈正相关并能预测门户网站的绩效,而门户网站系统信息的充分性和信息显示则能显著预测门户网站系统的易用性。此外,门户系统的信息显示也决定了门户系统信息的充分性。最后,学生对评价门户系统的满意度决定了他们继续使用该系统的意愿。根据研究结果,提出了有效管理学生评估门户系统的政策和实践建议,旨在提高学生对讲师绩效评估的参与度。
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Modelling the antecedents of students’ satisfaction and continuous use intentions of an electronic appraisal portal system in higher education

Developing and implementing appraisal portal systems for students can be highly beneficial for evaluating tutors’ teaching performances and providing constructive feedback to university authorities, thereby enhancing students’ learning experiences and satisfaction. Therefore, identifying the determinants of students’ satisfaction towards an appraisal portal system is crucial in this regard. In light of this, the study adopted a quantitative research approach and was based on an exploratory survey design. A survey instrument was used to collect data from 470 respondents selected using a cluster probability sampling technique. The collected data were analysed using both descriptive and Partial Least Squares-Structural Equation Modeling (PLS-SEM) techniques. The findings from the data analysis revealed three factors, namely, appraisal portal ease of use, system information display, and system performance positively predicted students’ appraisal portal use satisfaction. Furthermore, it was observed that both appraisal portal information display and portal ease of use were positive correlates and predictors of portal performance, while portal system information adequacy and information display, significantly predicted the portal system’s ease of use. Additionally, portal system information display determined portal system information adequacy. Finally, students’ satisfaction with the appraisal portal system determined their intention to continuously use the system. Based on the findings, recommendations have been made for policy and practice to manage the student appraisal portal system effectively, aiming to increase students’ participation and involvement in lecturer performance assessment.

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