Bibliographic record
Abstract
An institutional strategy has been provided in order to give Korean language lectures in primary, middle, and high schools from March 2013, as KSL (Korean as the Second Language) curriculum for multicultural background students was announced in July 2012. However, there is a shortage of skilled teachers to conduct Korean lectures in schools. Qualifications of Korean language teachers for multicultural background students are different from those of Korean language teachers for adult foreigners as well as those of Korean teachers for native speakers. Therefore Korean language teachers should be trained through teacher training or education system for teachers. There are ESL (English as the Second Language) teacher training systems in United State of America, Canada, and Australia. In these nations, teachers in primary, middle, and high schools can get ESL teacher`s license through ESL special program, or students of college of education can get ESL teacher`s license by having ESL as a second major. Teacher training for KSL learners is still in the beginning stage in Korea. KSL teacher training programs intended for teachers in primary, middle, and high schools were progressed in Jan 2013 at Seoul National University of Education and in Jun 2013 at Chonbuk Natinal University. In this study, two programs were compared. Which institute is running the program can define the characteristics of teacher training. KSL teacher training program intended for present teachers and certification as KSL teacher licence by Ministry of Education are required. Also an institutional strategy for KSL teacher education at National Universities of Education and Colleges of Education is necessary. Special law on Korean language education for multicultural background learners has to be enacted.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.004 |
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 teacher head, 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".