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Record W3210210356 · doi:10.5539/ijel.v11n6p112

Teaching Research Writing to Chinese Graduate Students: A Guided Discovery Genre Approach

2021· article· en· W3210210356 on OpenAlexvenueno aff
Hua Guo

Bibliographic record

VenueInternational Journal of English Linguistics · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDocumentationGraduate studentsPsychologyStyle (visual arts)Multidisciplinary approachSurvey researchMathematics educationMedical educationPedagogySociologyComputer scienceMedicineArtVisual artsSocial science

Abstract

fetched live from OpenAlex

One of the biggest challenges graduate-level research writing instructors face is how to motivate students in large and multidisciplinary classes effectively. This article explores the influence of a guided inductive and discovery-based genre approach on improving students’ knowledge of research writing. A questionnaire survey was conducted, and some of the students’ written assignments were analyzed. The survey results show that the students were generally satisfied with this approach and affirmed its effectiveness in increasing their knowledge of the textual organization, format and documentation, and language style in research writing. Examining the students’ written analysis of the move structure of abstracts indicates that this approach has enhanced the students’ ability to identify moves and facilitated their acquisition of more appropriate genre knowledge. Further examination of the students’ written reflections reveals a more in-depth understanding of their learning experience. Implications and directions for future research are discussed.

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)0.002
metaresearch head score (Gemma)0.090
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.683
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.090
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.095
GPT teacher head0.417
Teacher spread0.322 · 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
Published2021
Admission routes1
Has abstractyes

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