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Record W4394962774 · doi:10.5430/wjel.v14n5p1

Delving into the Depth: Exploring the Role of Reflective Journaling on L2 Saudi Students’ Academic Writing Practices

2024· article· en· W4394962774 on OpenAlexvenueno aff
Najlaa D. Alharbi

Bibliographic record

VenueWorld Journal of English Language · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsnot available
FundersQassim University
KeywordsJournaling file systemReflective writingAcademic writingMathematics educationPsychologyComputer sciencePedagogyDatabase

Abstract

fetched live from OpenAlex

Reflective journaling has been acknowledged as a valuable tool for fostering active learning among students. Many studies have examined its effects on second language (L2) students' skills. However, a limited number of studies have investigated its impact on L2 undergraduate students’ writing practices, particularly in the Saudi context. Additionally, the exploration of L2 students’ perceptions of reflective journaling in academic writing has received scant attention. Therefore, this study aimed to explore how reflective journals contribute to developing L2 Saudi students’ academic writing and their perceptions about using reflective journals in writing. A qualitative research approach was employed to collect data from 13 female Saudi students enrolled in an academic writing course at a public Saudi university. The primary data sources for the study were reflective journal entries and semi-structured interviews. The qualitative content analysis of the collected data revealed that most students found reflective journaling helpful for their writing practices. Specifically, it assisted them in exploring the complexity of academic writing, monitoring their writing practices to refine their skills, and cultivating an academic writer identity. However, students reported that they faced challenges while writing reflective journals, which were time-consuming and lacked constant feedback on their journal entries. The study concludes with several recommendations for L2 writing instructors and researchers.

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)0.010
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.051
GPT teacher head0.434
Teacher spread0.383 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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