The Challenges of Implementing Information and Communications Technology (ICT) Based Online Learning in Chinese Independent High Schools (CIHS) in Malaysia
Bibliographic record
Abstract
The use of ICT in the teaching and learning process is one of the most discussed topics in education for the past twenty years. It has, particularly, put education in Chinese Independent High Schools (CIHS) in Malaysia into a more challenging place due to their distinctions that revolve around self-funding, medium of instruction and syllabus. Past studies have indicated that most teachers had positive attitudes towards ICT integration in education. However, there are also some barriers that have prevented them from fully utilizing ICT in schools. This study focuses on investigating teachers’ perceptions and challenges faced while using ICT based online learning in the process of teaching and learning. A total of 180 questionnaires were randomly distributed to CIHS English teachers in West Malaysia. The questionnaire was adapted from Qasem & Viswanathappa (2016) and Salehi & Salehi (2012). A pilot study was also done to ensure the reliability and validity of the instruments. Besides using descriptive analysis, t-Test and One-Way ANOVA were also used to analyse the data. About two-third of the respondents in this study had the awareness towards the use of technology in education and perceived positively towards ICT in the teaching and learning process. The major challenges faced while using ICT included unstable internet connection, lack of training, lack of support from the school, lack of time. In order to ensure a more successful implementation of ICT in education, appropriate training on the usage of ICT in teaching should be provided. Apart from this, adequate ICT resources must be made available for teachers. This study might be significant to the educators, researchers and school managements to help develop useful guidelines to assist the teachers in overcoming the challenges of using ICT in teaching and learning.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".