The strategy for development of e-learning through social networks, in training institutions in Malaysia
Learning is one of the key ways organizations should grow their human capital to inspire and develop their talent and boost employee efficiency. E-learning offers a powerful platform for comprehension instructional technology and learning needs at a more convenient time. However, for current e-le...
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my.uniten.dspace-196182023-05-05T02:39:57Z The strategy for development of e-learning through social networks, in training institutions in Malaysia SOCIAL NETWORKS Learning is one of the key ways organizations should grow their human capital to inspire and develop their talent and boost employee efficiency. E-learning offers a powerful platform for comprehension instructional technology and learning needs at a more convenient time. However, for current e-learning models, many issues need to be tackled by training institutions. The biggest challenge is "how to deliver" rather than "what to deliver." The e-learning model must utilise a social network platform for communication learning and connectivity. Besides that, only a few training institutions understand how to combine learning online with a social network to make it more efficient. The motivation behind this study is to propose an e-learning model, "Transformation Strategy Model (TSM)," to enhance the learning implementation process based on social networks for training institutions in Malaysia. The research methodology of this study basis on four distinct phases. The first phase was to determine the transformation strategy factors using literature based on the research problem. The second phase was to proposed the TSM. In the third phase, the proposed model was evaluated by interviews from experts (CEOs, senior managers and decision-makers). The expert feedback, which identified the proposed model's strengths and weaknesses, led to model improvement. The fourth phase of the research process involved the improved model's validity by survey questionnaires based on the five Likert scales from top management executives working in 253 registered training institutions in Selangor, Malaysia. Findings of the proposed TSM shown training institutions are satisfied with the TSM model to achieve the learning implementation process. The results help training institutions understand the importance of using social networks to accomplish the learning process's objectives. Findings also benefit other public sectors in Malaysia by providing a basis for further studies on adopting and accepting social networks to effectively and efficiently facilitate the learning process 2023-05-03T13:41:27Z 2023-05-03T13:41:27Z 2020-05 Resource Types::text::Thesis https://irepository.uniten.edu.my/handle/123456789/19618 en application/pdf |
| institution |
Universiti Tenaga Nasional |
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UNITEN Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Tenaga Nasional |
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| url_provider |
http://dspace.uniten.edu.my/ |
| language |
English |
| topic |
SOCIAL NETWORKS |
| spellingShingle |
SOCIAL NETWORKS The strategy for development of e-learning through social networks, in training institutions in Malaysia |
| description |
Learning is one of the key ways organizations should grow their human capital to
inspire and develop their talent and boost employee efficiency. E-learning offers a
powerful platform for comprehension instructional technology and learning needs at
a more convenient time. However, for current e-learning models, many issues need
to be tackled by training institutions. The biggest challenge is "how to deliver" rather
than "what to deliver." The e-learning model must utilise a social network platform
for communication learning and connectivity. Besides that, only a few training
institutions understand how to combine learning online with a social network to
make it more efficient. The motivation behind this study is to propose an e-learning
model, "Transformation Strategy Model (TSM)," to enhance the learning
implementation process based on social networks for training institutions in
Malaysia. The research methodology of this study basis on four distinct phases. The
first phase was to determine the transformation strategy factors using literature based
on the research problem. The second phase was to proposed the TSM. In the third
phase, the proposed model was evaluated by interviews from experts (CEOs, senior
managers and decision-makers). The expert feedback, which identified the proposed
model's strengths and weaknesses, led to model improvement. The fourth phase of
the research process involved the improved model's validity by survey questionnaires
based on the five Likert scales from top management executives working in 253
registered training institutions in Selangor, Malaysia. Findings of the proposed TSM
shown training institutions are satisfied with the TSM model to achieve the learning
implementation process. The results help training institutions understand the
importance of using social networks to accomplish the learning process's objectives.
Findings also benefit other public sectors in Malaysia by providing a basis for further
studies on adopting and accepting social networks to effectively and efficiently
facilitate the learning process |
| format |
Resource Types::text::Thesis |
| title |
The strategy for development of e-learning through social networks, in training institutions in Malaysia |
| title_short |
The strategy for development of e-learning through social networks, in training institutions in Malaysia |
| title_full |
The strategy for development of e-learning through social networks, in training institutions in Malaysia |
| title_fullStr |
The strategy for development of e-learning through social networks, in training institutions in Malaysia |
| title_full_unstemmed |
The strategy for development of e-learning through social networks, in training institutions in Malaysia |
| title_sort |
strategy for development of e-learning through social networks, in training institutions in malaysia |
| publishDate |
2023 |
| _version_ |
1806427387907276800 |
| score |
13.211869 |