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Record W4410632620 · doi:10.22215/etd/2024-16477

Effect of Teaching Complex Noun Phrases for Reading Comprehension Purposes in EAP Programs

2024· dissertation· en· W4410632620 on OpenAlexaff
Dmitri Priven

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsCarleton University
Fundersnot available
KeywordsNoun phraseLinguisticsReading comprehensionComputer scienceReading (process)NounNatural language processingPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Complex noun phrases (CNPs), defined as phrases where a noun is the head modified by preceding or following lexical items, are a major vehicle of written academic English. However, CNPs are typically not explicitly addressed in English for Academic Purposes (EAP) programs for English language learners (ELLs) for reading purposes even though they present considerable challenges to ELLs in terms of processing and comprehension. This manuscript-based doctoral dissertation reports on a quasi-experimental mixed methods study that aims to investigate whether explicit instruction on the structure of CNPs and the parsing and paraphrasing strategies aimed to help the students expediently and accurately interpret them results in more accurate interpretation of sentences containing them. A two-phase mixed-methods study resulted in three publications in peer-reviewed journals. Phase 1 of the study involved designing and validating a pilot CNP comprehension test and investigating the specific challenges ELLs may have with processing and interpreting various CNPs. The results of both the CNP test and the interviews signal significant CNP parsing and interpretation challenges on the part of EAP students, identify the types of CNPs and the parsing and interpretation tasks that they find especially challenging, and underscore the need for explicit instruction on the structure of CNPs for reading purposes. Phase 2 of this study, published as two peer-reviewed articles, involved design and instruction of four teaching modules to an experimental group of 96 first-year EAP students consisting of several college- and university-based EAP classes, and measurement of their success in parsing and paraphrasing CNP through a pre- and a post-test and exit interviews/verbalization task. A comparable control group was given just the pre- and the post-test. The results of Phase 2 of the study suggest that the teaching intervention had a significant effect on the post-test scores, and that the participants considered the CNP reading strategies a useful enhancement of the academic reading curriculum and were able to apply most of the CNP parsing and interpretation strategies in the strategy verbalization task.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.862
Threshold uncertainty score0.994

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.027
GPT teacher head0.403
Teacher spread0.376 · 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 designOther design
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
Published2024
Admission routes1
Has abstractyes

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