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Record W1495003631 · doi:10.5539/elt.v8n7p181

English Spelling Errors Made by Arabic-Speaking Students

2015· article· en· W1495003631 on OpenAlexvenueno aff
Saleh Al-Busaidi, Abdullah Hassan Al-Saqqaf

Bibliographic record

VenueEnglish Language Teaching · 2015
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsnot available
Fundersnot available
KeywordsSpellingPronunciationPsychologyVowelSyllableLinguisticsStress (linguistics)SpellIntonation (linguistics)LiteracyReading (process)Test (biology)Focus (optics)Affect (linguistics)CommunicationPedagogy

Abstract

fetched live from OpenAlex

Spelling is a basic literacy skill in any language as it is crucial in communication. EFLstudents are often unable to spell or pronounce very simple monosyllabic words even after several years of English instruction. Similarly, teachers and researchers usually focus on the larger skills such as speaking and reading and ignore the smaller components. This study attempted to investigate the problems that university Arab learners face in spelling English vowels. The reason for focusing on vowels is that they appear to be more problematic and irregular than consonants, probably because of the perceptible mismatch between phonemes and graphemes. The study has primarily focused on monosyllabic words in order to (a) test the students’ knowledge in spelling these basic words and (b) to avoid the impact of other factors, such as stress and intonation which affect the pronunciation of vowel sounds in multi-syllable words. Data were collected through a battery of tests. The study has important implications for future research and for teaching.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.164
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.031
GPT teacher head0.362
Teacher spread0.331 · 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

Citations30
Published2015
Admission routes1
Has abstractyes

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