Issues of ICT Usage among Malaysian Secondary School English Teachers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study explored on perception, usage and obstacles of using ICT in teaching English Language among secondary school English teachers. The advancement of technology has given a space for teachers to boost teaching and learning of English language in secondary schools. It is believed that integration of ICT could enhance quality of teaching and make learning very effective. This paper first examined on secondary school English teachers' perception about the integration of ICT in teaching English lessons. It is found that the majority of teachers have positive views about the integration of ICT in teaching English. Then, the study revealed about the usage level of ICT among secondary school English teachers. The findings showed that teachers are utilizing ICT equipments only for certain tasks such as finding for information and preparing PowerPoint presentations. They do not have much exposure about the other opportunities provided by ICT. Next, researchers identified the dominancy of obstacles faced by secondary school English teachers in ICT integration with English lessons. Finally, this study provides some implications of the study and recommendations which are useful for researchers to expand their study in this area. In addition, this study too provides information for teachers on the advantages of ICT. Therefore, teachers could make adjustment to their teaching methodology which may lead to effective ICT integrated teaching and learning of the English language.
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.
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 | 0.001 | 0.006 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it