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Record W3008374752 · doi:10.18806/tesl.v36i3.1324

Performance, Interaction, and Satisfaction of Graduate EAP Students in a Face-to-Face and an Online Class: A Comparative Analysis

2019· article· en· W3008374752 on OpenAlexvenueno aff
Dmitri Stanchevici, Megan M. Siczek

Bibliographic record

VenueTESL Canada Journal · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
FundersGeorge Washington University
KeywordsPsychologyGraduate studentsLignePedagogyHumanitiesSecond language writingComputer-mediated communicationLibrary scienceLinguisticsComputer scienceSecond languageArtWorld Wide WebThe Internet

Abstract

fetched live from OpenAlex

Before arriving in a host country, international students may be motivated to complete some institutional requirements online. Many studies address computer-assisted instruction for second-language students, but few focus on fully online English for Academic Purposes (EAP) writing courses. This comparative case study, grounded in action research, examined the extent to which a fully online version of a graduate-level EAP course offered to international students at a North American university achieved comparable outcomes to a face-to-face version. A quantitative and qualitative analysis of study participants’ performance and course evaluations indicated that the outcomes and student satisfaction of both cohorts were comparable. However, an examination of the participants’ final research papers and online interactions revealed differences and challenges. Based on these findings, it is recommended that future online courses provide more instruction on source integration, library research, and building an interactive learning community. Overall, the findings suggest that when carefully designed, assessed, and refined, fully online courses hold strong promise in EAP academic writing contexts. Les étudiantes et étudiants internationaux tiennent parfois à remplir certaines exigences institutionnelles en ligne avant de se rendre dans leur pays d’accueil. L’enseignement assisté par ordinateur pour les apprenantes et apprenants d’anglais langue seconde fait l’objet de nombreuses études, mais peu d’entre elles portent sur des cours d’écriture d’anglais académique (EAP) complètement dispensés en ligne. Entièrement basée sur la recherche-action, la présente étude de cas comparative fait état du degré de comparabilité des résultats d’un cours d’anglais académique de deuxième cycle complètement présenté en ligne à des étudiantes et étudiants internationaux inscrits à une université nord-américaine et des résultats obtenus lorsque le même cours était dispensé en personne. Une analyse quantitative et qualitative des rendements des participantes et participants et du cours lui-même a indiqué que les résultats et le degré de satisfaction des étudiantes et étudiants des deux cohortes se valaient. L’examen des rapports de recherche finaux des participantes et participants et celui des interactions en ligne ont toutefois révélé des écarts et des défis. Sur la base de ces constatations, il est recommandé que les futurs cours en ligne fournissent davantage d’instructions sur l’intégration des sources, sur les recherches en bibliothèque et sur la construction d’une communauté d’apprentissage interactif. Dans l’ensemble, les constatations de l’étude suggèrent que, s’ils sont soigneusement conçus, évalués et peaufinés, les cours complètement dispensés en ligne sont très prometteurs dans des contextes d’écriture en anglais académique.

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)0.007
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.052
GPT teacher head0.304
Teacher spread0.252 · 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

Citations12
Published2019
Admission routes1
Has abstractyes

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