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Record W2982465900 · doi:10.5430/ijhe.v8n7p106

On Some Difficulties in Students’ Independent Work in Learning Foreign Languages

2019· article· en· W2982465900 on OpenAlexvenueno aff
Asiya Ilyasova, Alsu Saetzianovna Khakimzianova, Bulat Ildarovich Fakhrutdinov

Bibliographic record

VenueInternational Journal of Higher Education · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
FundersKazan Federal University
KeywordsForeign languageWork (physics)Process (computing)Mathematics educationPsychologyPedagogyComputer scienceEngineering

Abstract

fetched live from OpenAlex

The study conducted a questionnaire survey of university students, the purpose of which was to determine how students do their independent work while learning a foreign language and to reveal the difficulties in this process .The whole learning process of a structured in such a way as to arouse students' interest in those materials on the language that carry important and new information, in order to constantly maintain the desire to learn the language at home, so that students can see this need. Only in this case the study can have a positive effect on the development of such student qualities, purposefulness, organization, and perseverance. A brief analysis of students' answers about difficulties in independent work while learning foreign languages, the investigation emphasize that for the organization of the foreign language learning process, it is important to investigate not only the issues of the teacher’s work, questions of teaching methods, but also questions of organizing student’s work, namely, questions of studying and mastering skills in foreign languages.

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)0.003
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.297
Teacher spread0.285 · 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 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
Published2019
Admission routes1
Has abstractyes

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