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Data‐driven refinements of a genetics learning progression

Bibliographic Data

ID21353804
AuthorsMoraima Castro‐Faix (0000-0003-0668-8793, Rutgers University New Brunswick New Jersey 08901 USA, corresponding author), Ravit Golan Duncan (0000-0001-8655-8651, Rutgers University New Brunswick New Jersey 08901 USA), Jinnie Choi (0000-0003-3231-8833, Pearson Baltimore Maryland 21202 USA)
Year2021
Volume58
Issue1
Pages3-39
Publication date2021-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Research in Science Teaching (JOURNAL)
Journal identifiersISSN: 0022-4308 • E-ISSN: 1098-2736
PublisherWiley (PUBLISHER • GB)
DOI10.1002/tea.21631
OpenAlexW3024722847
LanguageEN
Citations received8
References cited68

Learning progressions are theoretical models that describe learning of scientific ideas and practices over time. These hypothetical progressions need to be tested and refined in order to productively inform instruction and assessment. In this paper, we report our attempts to revise a learning progression in genetics. In particular, we focused on two constructs that embody core ideas in classical genetics and one molecular construct. The revisions are based on analysis of pre‐ and postinterview data obtained from sixty 11th grade students before and after they engaged in a 10‐week unit that addressed these concepts. We found that while many of the students held ideas that aligned with the progression, there were several distinct dimensions of student reasoning that were not captured and led to substantial revisions of the constructs including: (a) the splitting of the construct dealing with meiosis (E) into two subconstructs (E1‐physical passage of genetic information and E2 – the role of sex cells), (b) the addition of new levels to constructs dealing with the universal nature and organization of the genetic code (A) and construct (F). For Construct A, the lower levels were expanded to include ideas about the localization of DNA in cells and to include ideas about the composition of DNA that were not captured in the progression. Revisions to Construct F included the expansion of existing levels and the addition of modes of inheritance such as codominance and incomplete dominance. The research we present offers insights about a methodological approach that can be used to test and refine progressions, as well as insights about student learning in genetics as we further describe and expand the stepping‐stone ideas in the progression and discuss further the multidimensional nature of learning progressions

Biology · Cognitive science · Construct (python library) · Dominance (genetics) · Epistemology · Inheritance (genetic algorithm) · Mathematics education · Science education · Computer Science · Educational Strategies and Epistemologies · Genetics · Genetics, Bioinformatics, and Biomedical Research · Psychology · Science Education and Pedagogy

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  • Basics of qualitative research

    Anselm Strauss, Juliet Corbin et al.•Basics of qualitative research•2008

  • Contextualization in the Assessment of Students’ Learning About Science

    Open Access•Hendrik Härtig, Jeffrey Nordine et al.•International Perspectives on the…•2020

  • Basic Content Analysis

    Robert Philip Weber, Robert Weber•Basic Content Analysis•1990

  • The Cambridge Handbook of the Learning Sciences

    Open Access•R Keith Sawyer•Cambridge Handbook of the…•2014

  • Quantifying Qualitative Analyses of Verbal Data

    Michelene T H Chi, Michelene T H•Journal of the Learning Sciences•1997

  • Note on the Sampling Error of the Difference Between Correlated Proportions or Percentages

    Open Access•Quinn Mcnemar•Psychometrika•1947

  • Beyond the scientific method

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  • Evaluating a learning progression for the solar system

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  • Conceptual Change in a Microcosm

    Open Access•Andrea A Disessa•Human Development•2017

  • The progression of students’ conceptions of energy

    Xiufeng Liu, Tang Li•Canadian Journal of Science…•2004

  • Learning Progressions in Science

    Tom Corcoran, Frederic A Mosher et al.•2009

Unique citing works8
Citations per year1,6
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 8

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