Technology Education and Economic Competitiveness in Developing Countries: The Sri Lankan Experience
Bibliographic record
Abstract
This paper examines the status of technology education in developing countries generally, and Sri Lanka in particular. A review of current literature reveals that science and technology are critically important for every country's socio-economic development. The conceptual framework and major features of technology education that should be emphasised in developing countries are discussed. The paper also highlights some severe barriers and limitations that inhibit technology education in developing countries. It is concluded that the Sri Lankan economy requires an effective implementation of appropriate technology education, and that this implementation must begin with scientific and technological literacy at the school level. This holds true for other developing countries currently battling the myriad problems arising from technological deprivation and backwardness. The paper contends that technological education could play the role of enhancing the right kind of technological development and advancement that could over time transform the economic fortunes of, and living conditions in developing countries. Cet article examine la situation de l'enseignement de la technologie dans les pays en voie de développement en général et en Sri Lanka en particulier. Un compte-rendu de la littérature contemporaine révèle que les sciences et la technologie ont une importance indispensable pour le développement socio-économique de tout pays. On y discute le cadre conceptuel et les principales caractéristiques de l'enseignement de la technologie sur lesquels devront insister les pays en voie de développement. L'article met également en relief les barrières et les limitations qui entrave l'enseignement de la technologie dans ces pays. De là, l'article conclut que l'économie du Sri Lanka exige l'exécution efficace d'une formation technologique appropriée et que cet exécution devra commencer par une connaissance scientifique et technologique au niveau scolaire. Cela est aussi vrai pour les autres pays en voie de développement qui sont en train de lutter contre une myriade de problèmes qui proviennent de la privation et du retard technologiques. L'article soutient que la formation technologique pourrait jouer le rôle d'améliorer la forme correcte du développement et du progrès technologiques, qui pourrait dans un certain temps, transformer les fortunes économiques et les conditions de vie dans ces pays en voie de développement.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".