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Record W4206069073 · doi:10.5430/jct.v11n1p235

Applying Case Method in the Training of Future Specialists

2022· article· en· W4206069073 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.

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

VenueJournal of Curriculum and Teaching · 2022
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Teacher Development
Canadian institutionsnot available
Fundersnot available
KeywordsSummative assessmentPresentation (obstetrics)Control (management)Mathematics educationExploratory researchProcess (computing)Computer sciencePsychologyEmpirical researchMedical educationMedicineArtificial intelligenceMathematicsStatisticsFormative assessmentSocial science

Abstract

fetched live from OpenAlex

Making a brighter presentation and improving assimilation of educational material with the help of the case method allows activating the mental, exploratory and creative abilities of students to optimize the process of assimilation of information. The combination of this method with others allows making future specialists to independently find ways to solve problems. This results in the assimilation of professionally significant special knowledge. The aim of the study was to determine the features of the application of the case method in the educational process in preparing students for future professional activities, identifying sources, structural elements and filling professional cases. The study involved the survey method and further testing to identify indicators of significance at the summative and control stage of the experiment. Methods used: diagnostic programme to study the level of educational activities by Riepkina, Zaika; assessment of the level of control and self-assessment actions; statistical and mathematical interpretation of empirical data with subsequent functional analysis of the research results. The study showed the high efficiency of the case method in the educational environment of higher educational institutions (HEIs). The indicator of students’ self-presentation after the application of the case method has changed significantly. This was reflected in an increased high level to 35.5%, a decreased medium level to 38%, and a slight increase in all levels in the experimental group students. Positive dynamics was revealed on all criteria for diagnosing the effectiveness of the case method in teaching: a decreased percentage of students with negative and relatively low markers and a corresponding increase in the percentage of students with positive markers of knowledge and learning the material. Further research can deal with development and implementation of case systems in view of certain majors, taking into account future professional activities.

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)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.740
Threshold uncertainty score0.278

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.037
GPT teacher head0.339
Teacher spread0.302 · 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