Online Formative Assessment in Higher Education: Bibliometric Analysis
Assessment is critical in postsecondary education, as it is at all levels. Assessments are classified into four types: diagnostic, summative, evaluative, and formative. Recent trends in assessment have migrated away from summative to formative evaluations. Formative evaluations help students develop...
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Published in: | Education sciences Vol. 12; no. 3; p. 209 |
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Abstract | Assessment is critical in postsecondary education, as it is at all levels. Assessments are classified into four types: diagnostic, summative, evaluative, and formative. Recent trends in assessment have migrated away from summative to formative evaluations. Formative evaluations help students develop expertise and concentrate their schedules, ease student anxiety, instill a feeling of ownership in students as they go, and confirm the module’s subject notion. Online formative assessment (OFA) emerged as a result of the convergence of formative and computer-assisted assessment research. Bibliometric analyses provide readers with a comprehensive understanding of a study topic across a particular time period. We used a PRISMA-compliant bibliometric method. The Scopus database was searched for BibTex-formatted publication data. In total, 898 studies were analyzed. According to the results, Assessment & Evaluation in Higher Education and Computers & Education are the most influential sources. RWTH Aachen University and Universitat Oberta De Catalunya are the most effective institutions. The red cluster includes terms associated with higher education and evaluation. The word “e-assessment, e-learning, assessment, moodle” appears in the green cluster. This group is quite influential yet has a low centrality. The highest percentage is 79.2 for “online assessment”. The subject is comprised of three components: “distance learning”, “accessibility”, and “assessment design”. The most important topics were “e-assessment”, “higher education”, and “online learning”. According to the country participation network, the USA and UK were the two main centers. |
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AbstractList | Assessment is critical in postsecondary education, as it is at all levels. Assessments are classified into four types: diagnostic, summative, evaluative, and formative. Recent trends in assessment have migrated away from summative to formative evaluations. Formative evaluations help students develop expertise and concentrate their schedules, ease student anxiety, instill a feeling of ownership in students as they go, and confirm the module’s subject notion. Online formative assessment (OFA) emerged as a result of the convergence of formative and computer-assisted assessment research. Bibliometric analyses provide readers with a comprehensive understanding of a study topic across a particular time period. We used a PRISMA-compliant bibliometric method. The Scopus database was searched for BibTex-formatted publication data. In total, 898 studies were analyzed. According to the results, Assessment & Evaluation in Higher Education and Computers & Education are the most influential sources. RWTH Aachen University and Universitat Oberta De Catalunya are the most effective institutions. The red cluster includes terms associated with higher education and evaluation. The word “e-assessment, e-learning, assessment, moodle” appears in the green cluster. This group is quite influential yet has a low centrality. The highest percentage is 79.2 for “online assessment”. The subject is comprised of three components: “distance learning”, “accessibility”, and “assessment design”. The most important topics were “e-assessment”, “higher education”, and “online learning”. According to the country participation network, the USA and UK were the two main centers. |
Author | Mikhaylovsky, Mikhail N. Savina, Tatyana N. Masalimova, Alfiya R. Zhdanov, Sergei P. Sudakova, Natalia E. Karandeeva, Lyudmila G. |
Author_xml | – sequence: 1 givenname: Natalia E. orcidid: 0000-0002-1354-3616 surname: Sudakova fullname: Sudakova, Natalia E. – sequence: 2 givenname: Tatyana N. surname: Savina fullname: Savina, Tatyana N. – sequence: 3 givenname: Alfiya R. orcidid: 0000-0003-3711-2527 surname: Masalimova fullname: Masalimova, Alfiya R. – sequence: 4 givenname: Mikhail N. surname: Mikhaylovsky fullname: Mikhaylovsky, Mikhail N. – sequence: 5 givenname: Lyudmila G. surname: Karandeeva fullname: Karandeeva, Lyudmila G. – sequence: 6 givenname: Sergei P. surname: Zhdanov fullname: Zhdanov, Sergei P. |
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