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Record W3200968487

예비 초등교사 A와 B의 영어 학습동기 및 제2언어 자아

2017· article· ko· W3200968487 on OpenAlexaboutno aff
오마리아

Bibliographic record

Venue영어영문학연구 · 2017
Typearticle
Languageko
FieldComputer Science
TopicEducational Systems and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyClass (philosophy)Test (biology)Mathematics educationIdentity (music)PedagogyArtComputer science
DOInot available

Abstract

fetched live from OpenAlex

Oh, Maria. “Pre-service Teacher A’s and B’s English Learning Motivation and L2 Identity.” Studies in English Language & Literature. 43.1 (2017): 293-316. The purpose of this study is to understand elementary pre-service teacher A's and B's English learning motivation and L2 identity embedded in English learning experience. The participants were two of 49 primary pre-service teachers who took 'English Teaching Methodology' in Spring and Fall 2015 at J teachers' college. In 2016, A and B were invited to the study because A was active and B was not while taking the class. They were interviewed three times in January and February and two times in December at a researcher's office individually about their life-long English learning experience. The following study results emerged: (1) A had a wonderful time with his uncle's family while learning English for two years at a Canadian primary school. At secondary and tertiary schools, he learned English to prepare for his English subject tests or Korean SAT(Scholastic Aptitude Test). He also enjoyed watching English TV dramas and doing SNS activities with his Canadian friends; (2) A's ideal L2 self was developed while learning English in Canada with his Canadian friends and learning test-oriented-English in Korea mainly because of his wonderful memory of Canadian primary school days; (3) Most of B's English learning was based on stress because he felt he had no choice while he had to read many highly-advanced Economics books at secondary school days with his private tutor; (4) B's ought-to L2 self was developed because he felt he was doomed to learn “NOGADA-English(노가다영어)” as one of the Koreans who need English for better future. Based on the study results, suggestions are made to develop theories and practice of Korean students' English learning motivation and L2 identity.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.537
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.004

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 head0.045
GPT teacher head0.327
Teacher spread0.282 · 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 designNot applicable
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
Published2017
Admission routes1
Has abstractyes

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