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Record W4411326499 · doi:10.5539/elt.v18n7p25

Drama as Dialogue: Reflective Practitioner Insights on Teaching English-Language Plays in Saudi Higher Education

2025· article· en· W4411326499 on OpenAlexvenueno aff
Manal I. Fattah

Bibliographic record

VenueEnglish Language Teaching · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicCreative Drama in Education
Canadian institutionsnot available
Fundersnot available
KeywordsDramaPsychologyPedagogyTeaching methodLanguage educationMathematics educationLinguisticsLiteratureArt

Abstract

fetched live from OpenAlex

This paper explores the pedagogical possibilities and challenges of teaching English-language drama in Saudi Arabian universities, where English functions as the medium of instruction in literature courses but is not students’ first language. While drama is often included in English literature curricula, it receives limited attention as a distinct mode of literary engagement with unique educational affordances. Drawing on theoretical perspectives from literature education and language pedagogy, as well as reflective practitioner insights drawn from the author’s classroom experience teaching plays such as Ibsen’s A Doll’s House and Shaw’s Pygmalion, Arms and the Man, and Major Barbara, this paper argues that drama offers valuable opportunities for oracy development, interpretive reading, and dialogic learning—especially in multilingual contexts. The discussion highlights how the performative and collaborative nature of drama can support deeper student engagement with character, voice, and theme. At the same time, it considers the linguistic, cultural, and institutional constraints that shape drama instruction in Saudi higher education, including the sociolinguistic environment, assessment practices, and classroom norms. By reflecting on drama as both text and practice, the paper invites a reimagining of how literature is taught in English-medium classrooms, proposing drama as a dynamic space for critical inquiry, linguistic expression, and cultural dialogue. The Saudi context provides a lens through which broader questions about literary pedagogy, language policy, and multilingual education in the university setting can be reconsidered.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.436
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.302
Teacher spread0.289 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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