Digital vs Direct Assessment: Distributional Shifts in Student Speaking and Writing Proficiency Profiles
Authors
Universiti Teknologi MARA (UiTM) (Malaysia)
Universiti Teknologi MARA (UiTM) (Malaysia)
Article Information
DOI: 10.47772/IJRISS.2026.100900096
Subject Category: Language
Volume/Issue: 10/9 | Page No: 1443-1449
Publication Timeline
Submitted: 2026-09-10
Accepted: 2026-09-15
Published: 2026-10-01
Abstract
This study evaluates potential distributional shifts across physical and remote online assessment modes in the English Exit Test (EET699) at Universiti Teknologi MARA (UiTM) Melaka Branch, Melaka City Campus. Drawing from institutional records comprising N = 925 student outcomes, the performance profiles of an Online Cohort (Cohort 20244, N = 588) and a Physical Cohort (Cohort 20252, N = 337) across the Faculty of Business Administration and Faculty of Hotel and Tourism Management were compared. Proficiency parameters were mapped directly onto the Common European Framework of Reference for Languages (CEFR) scale (A1 to C2). Descriptive analyses reveal that B1 remained the dominant modal proficiency band for both assessment modes. Inferential Chi-Square (χ²) tests of independence on consolidated CEFR bands demonstrated no statistically significant association between assessment modality and performance distribution at the pre-specified α = 0.05 level for either Speaking (χ² = 5.9082, d f = 3, p = 0.1162, V = 0.080) or Writing (χ² = 7.2701, d f = 3, p = 0.0638, V = 0.089). However, descriptive observations showed slightly wider score dispersion in remote online testing, including higher concentrations in top-tier bands (C1) in writing alongside isolated lower-tier dropouts (A1/A2). Rather than demonstrating direct causal effects or confirmed cheating, these trends highlight administration-mode effects, potential construct-irrelevant variance, and assessment-security vulnerabilities that warrant cautious institutional policy design.
Keywords
EET699, CEFR, Online Assessment, Face-to-Face Testing
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References
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