Literature DB >> 35676938

Theoretical model of investigating determinants for a successful Electronic Assessment System (EAS) in higher education.

Daniel Y Mo1, Yuk Ming Tang2,3, Edmund Y Wu1, Valerie Tang1.   

Abstract

Electronic assessment (e-assessment) is an essential part of higher education, not only used to manage a large class size of students' learning performance and particularly in assessing the learning outcomes of students. The e-assessment data generated can not only be used to determine students' study weaknesses to develop strategies for teaching and learning, but also in the development of essential teaching and learning pedagogies for online teaching and learning. Despite the wider adoption of Information and Communication Technology (ICT) technologies due to the COVID-19 pandemic, universities still encountered numerous problems during the transformation to electronic teaching as most educators struggled with the effective implementation of the Electronic Assessment System (EAS). The successful launch of EAS relied heavily on students' use intention towards the new and unfamiliar electronic system, which was actually unknown to the project managers of EAS. It is therefore important to understand students' views and concerns on EAS and the proactive measures taken by universities to enhance students' acceptance and intention of usage. Although most studies investigate students' acceptance of online learning, there is still little research on the adoption of e-assessment. In this regard, we propose to develop a theoretical model based on students' perceptions of EAS. Based on the Technology Acceptance Model (TAM) and a major successor of TAM, an electronic assessment system acceptance model (EASA model) is developed with key measures including system adoption anxiety, e-assessment facilitation, risk reduction amid, etc. The data is obtained through a survey among current students at a local university, and structural equation modeling (SEM) is applied to analyze the quantitative data. This study has a significant impact on improving educators' use of e-assessment in order to develop essential online teaching and learning pedagogy in the future.
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022.

Entities:  

Keywords:  Electronic Assessment System; Electronic Assessment System Acceptance model; Higher education; Information and Communication Technology; Theoretical model

Year:  2022        PMID: 35676938      PMCID: PMC9164563          DOI: 10.1007/s10639-022-11098-1

Source DB:  PubMed          Journal:  Educ Inf Technol (Dordr)        ISSN: 1360-2357


  4 in total

1.  An empirical study of the toxic capsule crisis in China: risk perceptions and behavioral responses.

Authors:  Tianjun Feng; L Robin Keller; Ping Wu; Yifan Xu
Journal:  Risk Anal       Date:  2013-07-16       Impact factor: 4.000

2.  Does medical students' preference of test format (computer-based vs. paper-based) have an influence on performance?

Authors:  Achim Hochlehnert; Konstantin Brass; Andreas Moeltner; Jana Juenger
Journal:  BMC Med Educ       Date:  2011-10-25       Impact factor: 2.463

3.  Comparative analysis of Student's live online learning readiness during the coronavirus (COVID-19) pandemic in the higher education sector.

Authors:  Yuk Ming Tang; Pen Chung Chen; Kris M Y Law; C H Wu; Yui-Yip Lau; Jieqi Guan; Dan He; G T S Ho
Journal:  Comput Educ       Date:  2021-04-08       Impact factor: 8.538

4.  The Four Horsemen of Fear: An Integrated Model of Understanding Fear Experiences During the Covid-19 Pandemic.

Authors:  Adriano Schimmenti; Joël Billieux; Vladan Starcevic
Journal:  Clin Neuropsychiatry       Date:  2020-04
  4 in total

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