Implementation of Automated Classroom Assessment in Higher Education Using the Technology Acceptance Model

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Title: Implementation of Automated Classroom Assessment in Higher Education Using the Technology Acceptance Model
Language: English
Authors: Faith Sylvester Orim, Usani Joseph Ofem, Imelda Barong Edam-Agbor, Nsan Njar Nsan, John Arikpo Okri, Patience Ekpang, Blessing Ogunjimi, Isu Michael Egbe, James Omaji Ukatu, Cecilia Undie Angrey, Moses Agba Undie, Oluwaseun Akin-Fakorede, Dymphina Abua, Peace Asukwo
Source: Discover Education. 2025 4.
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 22
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Tests/Questionnaires
Education Level: Higher Education
Postsecondary Education
Descriptors: Higher Education, College Faculty, Computer Assisted Testing, Technology Integration, Teacher Attitudes, Usability, Value Judgment, Behavior Standards, Social Influences, Influence of Technology, Computer Attitudes
DOI: 10.1007/s44217-025-00481-y
ISSN: 2731-5525
Abstract: The current educational landscape is flooded with new technological tools, especially with the arrival of artificial intelligence, which is applicable at all levels of instructional practices. However, the application of technology in assessment in higher education has been understudied. This study focused on filling this research gap by examining the mediation effect of perceived usefulness and subjective norms on the linkage between ease of use and automated classroom assessment from a multi-dimensional perspective. Cross-sectional survey data were collected from 5401 academic staff who responded to both physical and electronic copies of the instrument. The study instrument psychometric properties were established using exploratory and confirmatory factor analysis and covariance structural equation model was used to test the hypothesis. The findings of the study revealed that ease of use, perceived usefulness, and subjective norms have a significant direct effect on the use of automated classroom assessment. The mediation of perceived usefulness and subjective norms in the linkage between ease of use and automated assessment was significant. The implications of the findings were discussed in the study.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1468165
Database: ERIC
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  Data: The current educational landscape is flooded with new technological tools, especially with the arrival of artificial intelligence, which is applicable at all levels of instructional practices. However, the application of technology in assessment in higher education has been understudied. This study focused on filling this research gap by examining the mediation effect of perceived usefulness and subjective norms on the linkage between ease of use and automated classroom assessment from a multi-dimensional perspective. Cross-sectional survey data were collected from 5401 academic staff who responded to both physical and electronic copies of the instrument. The study instrument psychometric properties were established using exploratory and confirmatory factor analysis and covariance structural equation model was used to test the hypothesis. The findings of the study revealed that ease of use, perceived usefulness, and subjective norms have a significant direct effect on the use of automated classroom assessment. The mediation of perceived usefulness and subjective norms in the linkage between ease of use and automated assessment was significant. The implications of the findings were discussed in the study.
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