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Record W2564470712 · doi:10.18806/tesl.v33i2.1236

Honing EAP Learners’ Public Speaking Skills by Analyzing TED Talks

2016· article· en· W2564470712 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTESL Canada Journal · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPedagogyEnglish for academic purposesPsychologyPublic speakingSociologyLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Despite the importance of public speaking skills for English for Academic Purposes (EAP) students’ academic and professional success, few EAP textbooks in- corporate authentic, professional speech models. Thus, many EAP instructors have turned to TED talks for dynamic speech models. Yet a single TED talk may be too long for viewing in class and may limit students’ exposure to various speech styles. In the classroom activity described in this article, students listen to short clips from several TED speeches to learn techniques for making supporting points memorable; they then apply these techniques to their own extemporaneous speeches. This article highlights the critical need for authentic speech models in EAP courses; ful lls the need for authenticity by describing a lesson that utilizes several short, dynamic clips from TED talks to teach students how to use compel- ling support in presentations; and highlights positive student learning outcomes from student presentations and re ections over six semesters of instruction. Malgré l’important rôle que jouent les aptitudes à s’exprimer en public dans la réussite académique et professionnelle des étudiants d’anglais académique (EAP, English for Academic Purposes), peu de manuels d’EAP intègrent des modèles de discours authentiques et professionnels. Plusieurs instructeurs puisent donc dans les présentations TED pour trouver des modèles de parole dynamiques. Toutefois, une seule présentation TED peut durer trop longtemps pour montrer pen- dant un cours d’une part, et elle risque de limiter l’exposition des étudiants aux divers styles de discours d’autre part. Lors de l’activité en classe décrite dans cet article, les étudiants écoutent de courts extraits de plusieurs discours TED pour apprendre les techniques qui rendent mémorables les points de repère d’une présentation; par la suite, ils les appliquent dans leurs propres discours improvisés. Cet article souligne le besoin critique pour de modèles de parole authentiques dans les cours d’EAP; répond au besoin d’authenticité en décrivant une leçon basée sur plusieurs courts extraits dynamiques tirés de présentations TED et employés pour apprendre aux étudiants à développer des idées convaincantes qui appuient leurs présentations; et souligne les résultats d’apprentissage positifs découlant de présentations et de ré exions de la part d’étudiants au long de six semestres d’enseignement.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score0.940

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0730.000

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 head0.014
GPT teacher head0.224
Teacher spread0.209 · 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