Dialogical argumentation in elementary science classrooms
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From the age of 4-6 years, children are able to generate predictions, use observations as evidence, and evaluate and question each other.
“from the age of 4-6 years, children are able to generate predictions, use observations as evidence, and evaluate and question each other (Frejd 2019;Kim and Roth 2018;Metz 2011;Manz and Allen 2017;Ruffman et al. 1993;Siry et al. 2012).”
From Young Children's Epistemic Operations and Emergent Argumentation in Inquiry‐Based Discussions: The Role of Teacher Questioning and Collaborative Interactions (2025) · cites this paper as Kim and Roth 2018
We observed, along with other authors, that at these early stages children constructed evidence and arguments through multiple turns, so most single statements corresponded either to claims or evidence statements.
“We observed, along with other authors (Kim and Roth 2018;Monteira and Jiménez-Aleixandre 2016), that at these early stages children constructed evidence and arguments through multiple turns, so most single statements corresponded either to claims or evidence statements (that sometimes might be intended as reasoning for what had previously been said).”
From Young Children's Epistemic Operations and Emergent Argumentation in Inquiry‐Based Discussions: The Role of Teacher Questioning and Collaborative Interactions (2025) · cites this paper as Kim and Roth 2018
Our study shows, in line with previous ones, that children as young as 6 years old are able to engage in scientific dialogue that is not purely descriptive, performing evidence-based reasoning of a certain complexity and carrying out operations of high cognitive demand.
“Our study shows, in line with previous ones (Kim and Roth 2018;Metz 2011;Siry et al. 2012;Varelas and Pappas 2013), that children as young as 6 years old are able to engage in scientific dialogue that is not purely descriptive, performing evidence-based reasoning of a certain complexity and carrying out operations of high cognitive demand.”
From Young Children's Epistemic Operations and Emergent Argumentation in Inquiry‐Based Discussions: The Role of Teacher Questioning and Collaborative Interactions (2025) · cites this paper as Kim and Roth 2018
Cites
Reasoning as a scientist: ways of helping children to use language to learn science
Mercer, N., Dawes, L., Wegerif, R., & Sams, C. (2004) · British Educational Research Journal · doi:10.1080/01411920410001689689 · Cited by 637 · see citing works
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Caño, L., & Sanz, J. (2025) · Journal of Research in Science Teaching · doi:10.1002/tea.70010 · Cited by 5 · see citing works
- Authors
- Kim, M., & Roth, W.-M.
- Affiliations
- University of Alberta (CA)
- University of Victoria (CA)
- Corresponding author
- Kim, Mijung
- Venue
- Cultural Studies of Science Education
- Published
- 2018-02-19
- Volume
- 13
- Issue
- 4
- Pages
- 1061-1085
- ISSN
- 1871-1502 (ISSN-L)
- 1871-1510
- OpenAlex
- W2793655678
- Cited by
- 29
- References
- 1
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 4 · 2023: 5 · 2022: 2 · 2021: 5 · 2020: 2 · 2019: 1
- FWCI
- 6.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Cultural Studies of Science Education (publishedVersion)
- Funders
- Faculty of Education, University of Alberta (SAS (Support for the Advancement of Scholarship) Grant)
- Alberta Advisory Committee for Educational Studies
- Topics
- Social Sciences › Education › Science Education and Pedagogy
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational Strategies and Epistemologies
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Evolution and Science Education
- Keywords
- dialogic argumentation, elementary school science, argumentation schemes, burden of proof, children's reasoning, teacher role, Vygotsky, argumentative dialogue, lower elementary grades
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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