Web-based dynamic assessment: Taking assessment as teaching and learning strategy for improving students’ e-learning effectiveness
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Real-time adaptation features adjust the difficulty of content based on learners' affective and motivational states, keeping them challenged but not overwhelmed, to maintain a positive attitude toward learning.
“Real-time adaptation features adjust the difficulty of the content based on the learners' affective and motivational states, keeping them challenged but not overwhelmed, to maintain a positive attitude toward learning [202].”
From Leveraging AI in E-Learning: Personalized Learning and Adaptive Assessment through Cognitive Neuropsychology—A Systematic Analysis (2024) · cites this paper as [202]
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Halkiopoulos, C., & Gkintoni, E. (2024) · Electronics · doi:10.3390/electronics13183762 · Cited by 328 · see citing works
“Real-time Real-time adaptation features adjust the difficulty of the content based on the learners’ affective and motivational states, keeping them challenged but not overwhelmed, to maintain a positive attitude toward learning [202].”
Safdari, M., & Fathi, J. (2020) · Cogent Education · doi:10.1080/2331186x.2020.1818924 · Cited by 33 · see citing works
“The main difference between these two formats is that instruction and assessment are distinct in the sandwich format while combined in the cake format DA (Wang, 2010).”
Background
- Authors
- Wang, T.-H.
- Affiliations
- National Hsinchu University of Education (TW)
- Corresponding author
- Wang, Tzu-Hua
- ORCID
- Wang, Tzu-Hua
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2010-05
- Volume
- 54
- Issue
- 4
- Pages
- 1157-1166
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W2153461266
- Cited by
- 112
- References
- 38
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 5 · 2023: 6 · 2022: 9 · 2021: 13 · 2020: 15 · 2019: 5 · 2018: 5 · 2017: 8 · 2016: 8 · 2015: 6 · 2014: 4 · 2013: 9 · 2012: 7
- FWCI
- 9.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers & Education (publishedVersion)
- Funders
- National Science Council
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational and Psychological Assessments
- Physical Sciences › Computer Science › Information Systems › Educational Technology and Assessment
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- e-learning effectiveness, multiple-choice assessment, prior knowledge, sixth grade students, primary education, summative assessment
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