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Record W3170983564 · doi:10.21203/rs.3.rs-587769/v1

Teachers’ Experiences and Perspectives of Implementing and Use of the Classroom Communication Resource (CCR) Intervention: Post Trial Reflections

2021· preprint· en· W3170983564 on OpenAlexaff
Rizwana Mallick, Harsha Kathard, Lehana Thabane, Mershen Pillay

Bibliographic record

VenueResearch Square · 2021
Typepreprint
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsMcMaster University
Fundersnot available
KeywordsIntervention (counseling)Resource (disambiguation)PsychologyResource usePedagogyMedical educationKnowledge managementComputer scienceMedicineEnvironmental resource managementEnvironmental science

Abstract

fetched live from OpenAlex

Abstract Background: Post-trial interviews were conducted with teachers who administered the Classroom Communication Resource (CCR) intervention to grade 7 learners in a cluster Randomised Controlled Trial (RCT). The intervention addressed teasing and bullying using stuttering and communication as a case example. In alignment with the RCT, the study findings are presented relative to 1. Population, Intervention, Control, Outcome and Timeframe (PICOT); Aim: To describe the teachers’ experiences and reflections of implementing the CCR intervention and the future use of the intervention.Objectives: To describe the teachers’ 1. Suitability of the population at which the CCR was targeted; 2. intervention views including components of the CCR intervention (social story, role-play and discussion), resulting discussion and topics as well as modifications and recommendations; 3. control group researcher observations to contrast findings; 4. outcomes in terms of discussions, behaviour change and teacher observations; 5. time-frame suitability of the CCR. Setting: The Western Cape Metropolitan Urban Area in South Africa. Design: A qualitative exploratory study design was conducted. Teachers, in the intervention groups only, that is those who administered the CCR were interviewed using semi-structured interviews.Participants: Eligible participants included grade 7 teachers from the lower and higher quintile schools who administered the CCR intervention to the grade 7 learners as part of the randomised controlled trial (RCT) study. The participants were not compensated financially for their time. Sample size: A total of six teachers who administered the CCR intervention were interviewed. Analysis: The interviews were transcribed verbatim and a thematic analysis was conducted. The data analysis procedure included: familiarisation with the data and generation of initial codes and categories which were clustered into themes.Results:. Overall, teachers found the CCR suitable for grade 7s (population) as a communication and teasing and bullying centered intervention that could be implemented in future with adaptations as a curriculum-imbedded intervention tool. It was recommended that in terms of timeframe, the CCR be implemented using ongoing and continuous activities within classroom lessons so solidify and consolidate key messages of the intervention. Discussion: This paper showed that extending the RCT was an invaluable and important step in contributing to the main trial findings. The additional layer of findings to the RCT showed that teacher collaboration is important in knowledge production. The paper also showed the need for a shift and the effects thereof on both methodology and paradigms (and vice versa) for knowledge production, clinically and for research. Trial registration: Trails.gov (NCT03111524). Registered on 9 March 2017 prospectively.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.043
metaresearch head score (Gemma)0.137
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.226

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0430.137
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0040.003
Open science0.0020.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.222
GPT teacher head0.513
Teacher spread0.291 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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