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Record W2989697829 · doi:10.14705/rpnet.2019.38.988

Shouting in space: promoting oral reading fluency with Spaceteam ESL

2019· book-chapter· en· W2989697829 on OpenAlexafffund
Walcir Cardoso, David I. Waddington, Enos Kiforo, Anne-Marie Sénécal

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsAga Khan FoundationConcordia University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsFluencyReading (process)AffordanceAnecdoteSpace (punctuation)PsychologyReading aloudMathematics educationComputer scienceLinguisticsCognitive psychology

Abstract

fetched live from OpenAlex

This study examined whether the pedagogical use of Spaceteam ESL (English as a Second Language), a digital shouting game, could contribute to the development of Oral Reading Fluency (ORF) among 71 English students in secondary schools in Mombasa, Kenya. Following a mixed-methods approach for data collection and analysis, we pre- and post-tested the participants on their ability to read aloud efficiently (speed) and accurately (accuracy) in three tasks: (1) phrases extracted from the game; (2) phrases not related to the game; and (3) an anecdote. Our findings indicate that participants who played Spaceteam ESL improved their ORF on all measures of speed, but no significant differences were observed in terms of accuracy. Overall, these findings corroborate our hypothesis that some of the affordances of Spaceteam ESL (e.g. speed reading) would contribute to the development of some aspects of ORF.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.905
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1570.003

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 head0.017
GPT teacher head0.287
Teacher spread0.270 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2019
Admission routes2
Has abstractyes

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