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Stock Market Prediction of Bangladesh Using Multivariate Long Short-Term Memory With Sentiment Identification

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dc.contributor.author Keoy, Kay Hooi
dc.contributor.author Koh, Yung Jing
dc.contributor.author Iqbal, Javid
dc.contributor.author Anjum, Shaik Shabana
dc.contributor.author Yeo, Sook Fern
dc.contributor.author Cherukuri, Aswani Kumar
dc.contributor.author Teoh, Wai Yee
dc.contributor.author Piut, Dayang Aidah Awang
dc.date.accessioned 2024-08-29T06:38:08Z
dc.date.available 2024-08-29T06:38:08Z
dc.date.issued 2023-11-02
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/13269
dc.description.abstract The rise of online learning has brought about a close connection between micro-credentials and lifelong learning, employability, and new models of digital education. Micro-credentials are consid- ered instrumental in transforming higher education today. This study aims to examine the extent to which micro-credentials have been adopted in Malaysia, focussing on the viewpoint of Higher Education Providers (HEPs). It seeks to identify the challenges faced by HEPs when offering micro-credentials, encompassing technological, organisational, and people-related obstacles. By analysing empirical data, this research intends to propose a conceptual framework that can guide the successful adop- tion and implementation of micro-credentials within educational institutions. By addressing these recommendations, HEPs in Malaysia can successfully adopt and implement micro-credentials within their institutions. This will not only enhance the learning experience for students but also contribute to the overall transformation of higher education, keeping pace with the demands of the digital age and fostering a culture of continuous learning and skill development. en_US
dc.language.iso en_US en_US
dc.publisher World Scientific Publishing Company en_US
dc.subject Streamlining en_US
dc.subject Education institutions en_US
dc.subject Policy development en_US
dc.title Stock Market Prediction of Bangladesh Using Multivariate Long Short-Term Memory With Sentiment Identification en_US
dc.type Article en_US


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