Fading First Words: Early Childhood Education and the Shifting Place of Malay
Bibliographic record
Abstract
The Malay language is a fundamental pillar of Malaysia’s national identity, representing cultural unity, social cohesion, and shared heritage. In recent years, however, a noticeable decline in its use has raised serious concerns about the long-term sustainability of the national language. Comparable patterns of language shift have been observed in other multilingual societies, such as Singapore and Canada, where dominant global languages increasingly influence everyday communication. Early Childhood Education (ECE) is widely recognized as a critical stage for shaping linguistic identity and language practices from an early age. International evidence, particularly from New Zealand, demonstrates that ECE can function as an effective platform for language revitalization and maintenance. Despite these insights, limited scholarly attention has been paid to the role of ECE in sustaining the Malay language within the Malaysian context, especially from the perspectives of ECE educators and postgraduate students. This qualitative study aims to explore the perceptions of ECE educators and postgraduate students regarding the role of preschool education in maintaining Malay as the national language. It also seeks to identify key risk factors contributing to language shift among younger generations. Data were collected through in-depth interviews with nine participants from diverse backgrounds, including members of Malaysia’s three major ethnic groups, ECE postgraduate students, and teachers working in both public and private preschools. A thematic analysis approach was employed to identify recurring patterns and salient themes across participants’ accounts. The findings reveal a clear tension between efforts to preserve the Malay language and the increasing emphasis on early English exposure. Family language practices, institutional policies within preschools, and broader societal expectations were identified as influential factors shaping children’s language use. These findings underscore the need for balanced and context-sensitive ECE language policies that promote national language maintenance while acknowledging global linguistic demands. The study offers implications for policymakers, educators, and researchers, and provides insights relevant to other multilingual contexts facing similar challenges of language shift and preservation.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".