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Melor Md Yunus

Researcher at National University of Malaysia

Publications -  403
Citations -  5494

Melor Md Yunus is an academic researcher from National University of Malaysia. The author has contributed to research in topics: Vocabulary & Computer science. The author has an hindex of 27, co-authored 344 publications receiving 4064 citations. Previous affiliations of Melor Md Yunus include University of Bristol & Universiti Sains Islam Malaysia.

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A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases

TL;DR: In this article, the authors compared the performance of Web of Science and Scopus and provided a comprehensive comparison of these two databases to answer frequent questions which researchers ask, such as: How web of science and scopus are different? In which aspects these two database are similar? Or, if the researchers are forced to choose one of them, which one should they prefer?
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A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases

TL;DR: This article attempts to provide a comprehensive comparison of these databases to answer frequent questions which researchers ask, such as: How Web of Science and Scopus are different?
Journal ArticleDOI

Integrating Social Networking Tools into ESL Writing Classroom: Strengths and Weaknesses

TL;DR: In this article, the authors investigated the advantages and disadvantages of integrating social networking tools into ESL writing classroom and discuss the ways to plan activities by integrating Social Networking Services (SNSs) into the classroom.
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Malaysian ESL teachers’ use of ICT in their classrooms: expectations and realities

TL;DR: In this paper, the authors investigated the present use of ICT among ESL technical school teachers in teaching, factors that affect the use of IT and perceptions of their skills in ICT, and found that many teachers are not familiar with ICT and do not use it in their teaching.
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Mobile Learning Framework for Lifelong Learning

TL;DR: The proposed framework provides forward engineering support for the successful design of the future mobile lifelong learning systems and suggests how mobile learning applications can be designed with an understanding of factors and requirements and further applied to lifelong learning.