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Record W6949374155 · doi:10.5281/zenodo.13907925

Analyzing Morphological Errors and Contextual Influence in Senior High School Students' Written Works: A Qualitative Study

2024· article· en· W6949374155 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typearticle
Languageen
FieldPsychology
TopicLanguage Acquisition and Education
Canadian institutionsNOSM University
Fundersnot available
KeywordsPluralCLARITYPrefixFluencyMorphemeVerbSuffixComprehensionConfusionQualitative research

Abstract

fetched live from OpenAlex

Morphological skills are essential for developing linguistic competence, as they underpin various aspects of language acquisition, including reading comprehension and effective writing. This study examined morphological errors in the written works of 25 Grade 11 students in the Oral Communication course at Northern Abra National High School, exploring how these errors reflected their understanding of word formation rules and the influence of contextual factors like educational background and language exposure. Using a document analysis design, the research involved evaluating students’ assignments and essays to identify error types and frequencies. A systematic coding process categorized errors through qualitative content analysis, revealing themes related to inflectional, derivational, and compounding errors. The study identified common morphological errors in the written works of 25 Grade 11 students enrolled in the Oral Communication course. Inflectional errors were the most prevalent, comprising 40% of the total, with students frequently misusing verb conjugations and plural forms, indicating a fundamental misunderstanding of grammatical rules. Derivational errors accounted for 30%, highlighting confusion around suffix and prefix application. Compounding errors, at 20%, involved incorrect separation and formation of compound words, leading to clarity issues in writing. Affixation errors made up 10%, reflecting overgeneralization and misuse of affixes. Also, students from well-resourced families made 12% fewer morphological errors than those from under-resourced families, with dedicated language programs leading to a 20% reduction. Teacher expertise contributed to a 15% decrease in errors. Students exposed to multiple languages had 30% fewer errors, with those speaking three or more languages showing a 40% reduction, highlighting the benefits of multilingualism on language skills. Moreover, students with both quality education and extensive language exposure made 35% fewer errors than those lacking either factor. These findings emphasize the need for educational equity and multilingualism to enhance morphological skills. A combined approach integrating quality instruction with diverse language experiences is recommended to improve writing proficiency. Generally, the educational background and language exposure significantly impact Grade 11 students' morphological accuracy. Students from well-resourced schools made fewer errors, especially with effective language instruction, while multilingual students demonstrated enhanced writing proficiency. The synergy between quality education and diverse linguistic exposure is essential for improving students' linguistic skills. To address morphological challenges, educational policies should focus on integrating robust language programs and promoting multilingualism, fostering better writing outcomes for all students.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0200.006

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 head0.038
GPT teacher head0.371
Teacher spread0.334 · 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