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Record W7019659595

High school science teachers and their views on the problem-based learning approach: barriers to implementation

2013· dissertation· en· W7019659595 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2013
Typedissertation
Languageen
FieldComputer Science
TopicHistory of Computing Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsMandateCurriculumProblem-based learningValue (mathematics)Curriculum developmentSchool teachers
DOInot available

Abstract

fetched live from OpenAlex

In this research I examined the implementation of the problem-based learning (PBL) approach, an innovation implemented as a part of the science education reform that Quebec, Canada, underwent in the last ten years. Throughout my research, I explore various approaches that three high school science teachers take in implementing PBL into their own teaching of the science curriculum. This research is focused on three detailed case-study of these teachers which includes interviews, classroom observations, co-creation and implementation of PBL units, examination of their concerns about the reform using the Sages of concerns model, and reflective journals. Four main findings emerging from the research are: (1) Teachers teach through some aspects of PBL but are unaware of the explicit mandate preventing them from creating lessons in accordance with this mandate. (2) Teachers are experiencing disconnect between the mandated PBL approach to teaching and the content-based mandatory final examinations. (3) Teachers cite a lack of proper financial resources, insufficient time and training as external barriers to the effective implementation of PBL. (4) Teachers cite personal resistance, lack of knowledge, training, and fear of the innovation as internal barriers. The barriers that teachers encounter emerging in this research can help curriculum developers in Quebec to have a better understanding of how to structure future reforms to ensure they are understood by the teachers. Exams mandated in Quebec should be structured in a way, which is more reflective of the curriculum currently employed, ensuring teachers see the value of the curriculum in relation to how the students will be evaluated.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.638
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0040.000
Scholarly communication0.0010.001
Open science0.0040.001
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 head0.023
GPT teacher head0.254
Teacher spread0.231 · 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; a candidate call from one teacher head, not a consensus.

Study designOther design
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

Citations0
Published2013
Admission routes1
Has abstractyes

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