MétaCan
Menu
Back to cohort
Record W4230335917 · doi:10.24124/2012/bpgub859

Leading professional inquiry to develop students' research skills.

2012· dissertation· en· W4230335917 on OpenAlexaff
Jodie M. Kennedy Baker

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldDecision Sciences
TopicEducational Assessment and Improvement
Canadian institutionsUniversity of Northern British ColumbiaLibrary and Archives Canada
Fundersnot available
KeywordsAction researchMathematics educationProcess (computing)Action (physics)Independence (probability theory)PedagogyReflection (computer programming)PsychologyComputer scienceMathematics

Abstract

fetched live from OpenAlex

This study describes my leadership of a professional inquiry, with two secondary teachers, to implement a new strategy for teaching student research skills. Our Teacher Learning Team used Mill's (2004) action research process to implement Brown, Klein, and Lapadat's (2009) student research platform with cycles of action, observation, and collaborative reflection to support further action. Secondary students were introduced to the process of gathering information in a carefully controlled way, so that their progress could be monitored and instruction could be differentiated to help them gain independence. I report the challenges and successes that led to teacher and leadership learning. My analysis revealed that persistent use of this strategy enabled these teachers to shift from a product to process orientation that led to enhanced engagement in learning for students. With carefully sequenced skill instruction, problems with plagiarism were no longer evident and students gained a sense of discovery that increased their interest in course content. --P. ii.

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)0.012
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.678
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.012

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 head0.345
GPT teacher head0.629
Teacher spread0.284 · 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 designNot applicable
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

Explore more

Same topicEducational Assessment and ImprovementFrench-language works237,207