Characterizing the formative assessment enactment of experienced science teachers
Open accessAbstract
Teachers' use of formative assessment (FA) has been shown to improve student outcomes; however, teachers enact FA in many ways. We examined classroom videos of nine experienced teachers of elementary, middle, and high school science, aiming to create a model of FA enactment that is useful to teachers. We developed a coding scheme through a validation‐in‐use approach to characterize teachers' practices using three streams of data that included teachers' self‐interviews about the purposes and outcomes of their FAs, our analysis of their noticing/interpreting and acting, and their comments on intentions behind the teaching acts they considered significant. In contrast to cycles of eliciting‐noticing‐interpreting‐acting, we found noticing/interpreting to be central to FA enactment, driving teachers' eliciting or advancing acts. We characterized ways of noticing/interpreting as more authoritative or dialogic and observed that eliciting acts and advancing acts occurred along a similar range. Teachers' in‐the‐moment purposes and larger learning goals were synthesized as they made choices about teaching acts. The model is framed in terms of utility to teachers to examine their own FA practices, with the aim of becoming better equipped to strategically enact FA in intentional ways to achieve their purposes.
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Formative assessment approaches and skills are superior for meeting HEIs' needs to improve teaching levels, which in turn improves students' learning outcomes and raises their achievement level.
“Formative assessment (i.e., provide immediate and meaningful feedback to students about the learning outcomes at the end of the course contents) approaches and skills are superior to meet HEIs needs-to improve teaching levels of teachers which in turn improvise students learning outcomes and raise their achievement level [13].”
From Artificial Intelligence for Assessment and Feedback to Enhance Student Success in Higher Education (2022) · cites this paper as [13]
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- Authors
- Dini, V., Sevian, H., Caushi, K., & Orduña Picón, R.
- Affiliations
- Tufts University (US)
- University of Massachusetts Boston (US)
- Department of Chemistry University of Massachusetts Boston Boston Massachusetts
- Corresponding author
- Sevian, Hannah
- Venue
- Science Education
- Publisher
- Wiley
- Published
- 2020-01-08
- Volume
- 104
- Issue
- 2
- Pages
- 290-325
- ISSN
- 0036-8326 (ISSN-L)
- 1098-237X
- OpenAlex
- W2999331806
- Cited by
- 61
- References
- 77
- Citations by year
- 2026: 7 · 2025: 9 · 2024: 13 · 2023: 11 · 2022: 9 · 2021: 6 · 2020: 5 · 2019: 1
- FWCI
- 11.75
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Science Education (publishedVersion, cc-by-nc)
- Funders
- National Science Foundation (1621228)
- Topics
- Social Sciences › Education › Student Assessment and Feedback
- Social Sciences › Education › Science Education and Pedagogy
- Social Sciences › Education › Evaluation of Teaching Practices
- Keywords
- formative assessment, teacher enactment, noticing, interpreting, science education, learning objectives
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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