The Role of Assessment in Developing Motivation for Learning
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Teachers often use traditional forms of teacher-graded assessment to motivate, support and cajole students.
“For example, on a personal level, teachers will often use traditional forms of teacher-graded assessment to motivate, support and cajole students (Cauley & McMillan, 2010;Harlen, 2012).”
From Assessment in the age of artificial intelligence (2022) · cites this paper as Harlen, 2012
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Assessment in the age of artificial intelligence
Swiecki, Z., Khosravi, H., Chen, G., Martinez-Maldonado, R., Lodge, J. M., Milligan, S., Selwyn, N., & Gašević, D. (2022) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2022.100075 · Cited by 409 · see citing works
Webb-Williams, J. (2018) · Research in Science Education · doi:10.1007/s11165-016-9592-0 · Cited by 94 · see citing works
- Authors
- Harlen, W.
- Corresponding author
- Harlen, Wynne
- Venue
- Assessment and Learning
- Publisher
- SAGE Publications Ltd
- Published
- 2012
- Pages
- 171-184
- OpenAlex
- W2496676446
- Cited by
- 84
- References
- 0
- Citations by year
- 2025: 3 · 2024: 1 · 2023: 9 · 2022: 3 · 2021: 6 · 2020: 5 · 2019: 2 · 2018: 1 · 2017: 7 · 2016: 9 · 2015: 6 · 2014: 7 · 2013: 4 · 2012: 8
- FWCI
- 38.38
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- SAGE Publications Ltd eBooks (publishedVersion)
- Topics
- Social Sciences › Education › Student Assessment and Feedback
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Education, Achievement, and Giftedness
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational and Psychological Assessments
- Keywords
- assessment, student motivation, motivation formation, educational assessment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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