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Record W7009004381

Cultural Diversity Instructional Challenges Faced by Junior High School Teachers in Calgary

2022· article· en· W7009004381 on OpenAlexaboutno aff

Bibliographic record

VenueScholarWorks (Walden University) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationDiversity (politics)Cultural diversityQualitative researchGovernment (linguistics)Subject (documents)
DOInot available

Abstract

fetched live from OpenAlex

Many Canadian children under the age of 15 were born to at least one foreign-born parent, representing 37.5% or 2.2 million children of the total population of children. Although this cultural diversity provides opportunities for teachers to use as a strength, it also poses instructional challenges. Much research has focused on cultural diversity challenges, yet it is not known whether specific cultural diversity instructional challenges have been overcome or how. The purpose of this basic qualitative study was to investigate specific cultural diversity instructional challenges faced by junior high school teachers and explore how teachers use Gay’s culturally responsive teaching (CRT) to overcome such challenges. In addition to Gay’s pedagogy, the conceptual framework included elements of the Ladson-Billings’s culturally relevant pedagogy. The research questions focused on understanding the cultural diversity instructional challenges and exploring how teachers use CRT to overcome such challenges. Purposeful sampling was used to select eight teachers in highly culturally diverse junior high schools in Calgary. Data were collected through interviews, followed by transcription and analysis to identify themes. Findings revealed that teachers face cultural diversity instructional challenges including the lack of resources, language barriers, lack of student motivation, and gaps in student learning. Teachers gave examples of self-developed CRT strategies they use to overcome the challenges, featuring intentional lesson planning amongst other strategies. All teachers also expressed their thirst for training on CRT. Insights from this study can help stakeholders in education identify and implement professional development sessions that promote effective strategies needed for a culturally diverse classroom.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.271
Teacher spread0.232 · 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 designObservational
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
Published2022
Admission routes1
Has abstractyes

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