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Instructors' Professional Learning and Implementation of Problem-Based Learning in Higher Education

2019· book-chapter· en· W2955519981 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAdvances in higher education and professional development book series · 2019
Typebook-chapter
Languageen
FieldSocial Sciences
TopicProblem and Project Based Learning
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCreativityMathematics educationPedagogyCritical thinkingPsychologyProblem-based learning

Abstract

fetched live from OpenAlex

Contemporary educational reform in North America, as well as other parts of the world, has led to a shift toward conceptualizing assessment, teaching, and learning for the purpose of developing students' competencies (e.g., critical thinking, complex problem-solving, creativity and innovation, collaboration). Both in K−12 schools and higher education, instructors need to adopt innovative pedagogies and assessments to support the fostering of these competencies. In this chapter, the authors report on a mixed-method study where the implementation of problem-based learning (PBL) was used in a preservice teachers' assessment course designed in a teacher preparation program at one western Canadian university. The findings acknowledge that facilitating PBL is a pedagogical shift and requires instructors to revisit their pedagogical practices and assumptions in relation to student learning and teaching. The chapter concludes with three directions for future 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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.930
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.019
GPT teacher head0.349
Teacher spread0.331 · 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