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Record W1265596445 · doi:10.26522/tl.v8i1.431

Transforming Classroom Practice: Technology Professional Development that Works!

2014· article· en· W1265596445 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueTeaching and Learning · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsBrock University
Fundersnot available
KeywordsProfessional developmentVariety (cybernetics)Context (archaeology)Faculty developmentDisciplineComputer sciencePedagogyMathematics educationPsychologyEngineering ethicsEngineeringSociology

Abstract

fetched live from OpenAlex

Technology professional development workshops primarily focus on technical skill training, and these skills are often taught out of context and seem remote from classroom practice. How can educators learn how to teach with technology in a variety of disciplinary areas so that their professional learning experiences are considered valuable and are readily integrated into their teaching practice? This paper presents a professional development workshop model, called the TPACK-based Professional Learning Design Model (PLDM), that is a practical and efficient method for engaging teachers and teacher candidates in the development of tech-enhanced teaching practice. The workshop model uses four specific types of professional development experiences to promote teaching with technology, rather than teaching the technology, with the goal that teachers leave the workshop being able to understand how to integrate one tech-enhanced activity into their own daily instructional practices.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.858
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.345
Teacher spread0.325 · 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