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Record W4283330735 · doi:10.32370/ia_2022_06_12

The Case Studies as an Efficient Method for the Formation of Students’ Multicultural Competence

2022· article· en· W4283330735 on OpenAlex
Arsen Tkachuk

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIntellectual Archive · 2022
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Teacher Development
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismSituational ethicsCompetence (human resources)PsychologyPresentation (obstetrics)Mathematics educationPedagogyTask (project management)Social psychologyEngineering

Abstract

fetched live from OpenAlex

The article describes the features of students’ multicultural competence formation with the case study method. Presented an analysis of modern psychological and pedagogical approaches in teaching English of students. Described concepts and types of case technologies used in teaching English. Analyzed the system of work in teaching English-speaking high school students by means of situational tasks. Stressed, that Case technology solves complex of some problems: develops communication skills, helps to establish emotional contacts between students; solves the content and information problem, as they provide students with the necessary information, without which it is impossible to carry out joint activities; develops special skills of critical thinking (analysis, synthesis, goal setting etc.), provides solutions to educational problems, a learning task, as students are taught to work in a team, listen to other people's opinions. Analyzed methodological recommendations, techniques, methods and pedagogical conditions of students' work with case technology in the process of learning English speaking helped to expand the range of speech genres, including appeals, requests, explanations and more. Explained students skills of talking to an opponent, colleagues, presentation speech, dialogue monologue and more as multicultural competence.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.793
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.082
GPT teacher head0.403
Teacher spread0.321 · 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