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Record W2739971190 · doi:10.4148/2470-6353.1074

Participatory action research as praxis: Developing scientifically literate students through inquiry-based science instruction and guided reading

2012· article· en· W2739971190 on OpenAlexaff
Rhonda Nixon

Bibliographic record

VenueNetworks An Online Journal for Teacher Research · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAction researchPraxisLiteracyParticipatory action researchPedagogyThe artsReading (process)Citizen journalismLanguage artsMathematics educationPsychologyShared readingSociologyMedical educationComputer scienceMedicinePolitical science

Abstract

fetched live from OpenAlex

Two grade six teachers, Sara and Colleen, and myself, Rhonda, a literacy coach, engaged in critical participatory action research (Kemmis & McTaggart, 2005) to inquire into our grade six students’ declining performance in science. Our research questions were: How does guided reading impact students’ reading practices in science? How does our critical or praxis-based approach to professional learning impact our students as collaborative learners? At the time when we became a teacher researcher team, Sara had taught grade six for a few years at the school. Colleen was an experienced grade six teacher coming from another school, and I was an Elementary Language Arts Consultant leaving the district office to be the new assistant principal and literacy coach in the school. As a literacy coach, I shared planning, teaching and assessment responsibilities for science and English language arts with Sara and Colleen. I was also a part-time doctoral student in language and literacy, so Sara and Colleen asked me to share what I was learning in my studies by meeting regularly to read and talk about research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.054
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0540.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.003
Scholarly communication0.0020.002
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.836
GPT teacher head0.671
Teacher spread0.165 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2012
Admission routes1
Has abstractyes

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