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Record W3004201397 · doi:10.3968/11425

Research on Adult English Learning Model and Implementation Mechanism Based on Wisdom Learning

2019· article· en· W3004201397 on OpenAlexvenueno aff
Hongxia Cen

Bibliographic record

VenueStudies in literature and language · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyActive learning (machine learning)Cooperative learningLanguage learning strategiesExperiential learningCorrelationEmpirical researchMathematics educationArtificial intelligenceTeaching methodCognitionMetacognitionComputer science

Abstract

fetched live from OpenAlex

This study selected adult students of different gender and age as subjects, and through them,the study on adult English learning mechanism for empirical research, as to understand the adult students of different gender, age, whether have significant differences in foreign language learning beliefs and learning strategies, and explores the relationship between learning strategies and learning results in adult students’ English learning with the use of language learning beliefs. Results show that: (1) the adult students with different sex had no significant differences in learning belief, but had a significant difference in terms of learning strategies. Different age adult students have significant differences in learning belief and learning strategies.(2) learning belief has a moderate correlation between learning strategies as a whole, and all the parts of the learning beliefs and learning strategies are reached significant level. Learning strategies has low positive correlation with learning effects, reached extremely significant level. In all parts of learning strategies and learning effect present positive correlation, and reached significant level.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.538

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 studies0.0000.000
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 head0.032
GPT teacher head0.353
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2019
Admission routes1
Has abstractyes

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