English Language Proficiency and Employability of University Students: A Sociological Study of Undergraduates at the Faculty of Arts and Culture, South Eastern University of Sri Lanka (SEUSL)
Bibliographic record
Abstract
Gaining mastery over the English language by undergraduates of universities has acquired much significance today because it plays a significant role in ensuring their future employability. This is highly relevant to the students of the Faculty of Arts and Culture (FAC), SEUSL, as a majority of them are from rural areas and pursue their degrees in the Tamil medium. Results of English language examinations held in recent years at the faculty indicate the poor command of English language of undergraduates, and the trend appears to be set firmly. Thus, the objective of this study is to explore the factors contributing to the poor performance of students in English language and to examine the ways in which this problem could be addressed. This is a qualitative study consisting of observation, interviews and focus group discussions employed as techniques of data collection. The study argues that the enrolment of students from rural background, psychological dimension of students, and the lack of reading habit among them are the key factors responsible for their poor level of English knowledge. Lack of physical resources such as visual aids, lack of learner centered teaching (LCT) method, and inexperienced teaching panel are also highlighted as additional factors contributing to the poor command of the language that inevitably leads to poor employment prospects for graduates after they pass out. Therefore, this study suggests that the prevailing trend can be reversed by enhancing the students’ self-confidence and changing their attitudes so they will be motivated to learn the language willingly; upgrading the physical as well as human resources available to students in the faculty will provide an additional impetus to enhance their proficiency in English language.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".