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Record W2344401562 · doi:10.5539/elt.v9n5p214

Academic English Teaching for Postgraduates Based on Self-regulated Learning Environment: A Case Study of Academic Reading Course

2016· article· en· W2344401562 on OpenAlexvenueno aff
Wei Zhao

Bibliographic record

VenueEnglish Language Teaching · 2016
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsnot available
FundersDali University
KeywordsPsychologyReading (process)Mathematics educationConstruct (python library)English for academic purposesCollege EnglishEnglish as a foreign languageEnlightenmentTeaching methodGraduate studentsPedagogyComputer scienceLinguistics

Abstract

fetched live from OpenAlex

<p>This study selects postgraduate students in the first grade as the participants, based on their needs analysis, classroom presentations and performance of assignments completion, through the methodology of case study, the results show that students at the university level even the graduate levels still struggle with academic English. Thus, this study focuses on foreign language teachers how to guide postgraduate students in academic reading course, so as to implement students’ self-regulated learning strategies and enhance their motivations, as well as how the students to adjust to experience and respond to the teaching process through the adjustment. Accordingly, we theoretically construct self-regulated teaching and learning environment, expectations for enlightenment to the teaching practices of academic English instructions, especially in reading academic journal articles in English. The future direction should be towards to assessing and applying the learning environment model.</p>

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)0.014
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.006
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 head0.024
GPT teacher head0.361
Teacher spread0.337 · 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 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

Citations7
Published2016
Admission routes1
Has abstractyes

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