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Record W4403322986 · doi:10.31756/jrsmte.733

Sociocultural influences on primary teachers implementing TouchTimes

2024· article· en· W4403322986 on OpenAlexafffundabout
Sandy Bakos

Bibliographic record

VenueJournal of Research in Science Mathematics and Technology Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsUniversity of Lethbridge
FundersSimon Fraser University
KeywordsSociocultural evolutionPrimary (astronomy)PsychologySociologyAnthropology

Abstract

fetched live from OpenAlex

In this article, I share case studies of two primary school teachers (K–5) in British Columbia, Canada who were interviewed after their implementation of <i>TouchTimes</i> (hereafter, TT) in their mathematics classes. TT is a multi-touch digital application that is designed for users to create and interact with multiplicative situations kinaesthetically through their fingertips on an iPad screen. Using the theoretical constructs of double instrumental genesis, instrumental distance and didactical landmarks, I identify and highlight sociocultural influences described by each of the teachers as being impactful on their integration of this digital technology into their mathematics teaching. These influences included other teachers and the researchers who were part of a larger research project involving TT, as well as the students in each of the case study teachers’ classes. My analysis indicates the multi-faceted and complex nature of the process of double instrumental genesis that teachers undergo when implementing digital technology and how sociocultural factors impact teachers’ personal and professional instrumental geneses.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.318
Threshold uncertainty score0.743

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.060
GPT teacher head0.460
Teacher spread0.399 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2024
Admission routes3
Has abstractyes

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