MatchApp innovation to assist in the learning of science, technology and engineering

The learning of science, technology, engineering and mathematics (STEM) has, in recent years, been a popular topic of deliberation in the context of the Malaysian education scenario. It pivots on suitable teaching-learning approaches to ensure that students achieve optimum competencies in STEM. Th...

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Main Authors: Junaini Kasdan, Harshita Aini Haroon, Nor Suhaila Che Pa, Zuhairah Idrus, Mohamed Roshimi Md Sahor
Format: Article
Language:English
Published: Institute of the Malay World and Civilization, Universiti Kebangsaan Malaysia 2019
Online Access:http://journalarticle.ukm.my/13506/
http://journalarticle.ukm.my/13506/
http://journalarticle.ukm.my/13506/1/jatma-2019-0702-03.pdf
id ukm-13506
recordtype eprints
spelling ukm-135062019-10-10T21:16:30Z http://journalarticle.ukm.my/13506/ MatchApp innovation to assist in the learning of science, technology and engineering Junaini Kasdan, Harshita Aini Haroon, Nor Suhaila Che Pa, Zuhairah Idrus, Mohamed Roshimi Md Sahor, The learning of science, technology, engineering and mathematics (STEM) has, in recent years, been a popular topic of deliberation in the context of the Malaysian education scenario. It pivots on suitable teaching-learning approaches to ensure that students achieve optimum competencies in STEM. The latter is particularly important in the light of Malaysia’s aspiration to be a developed nation by 2020. However, research has shown that students face particular challenges in the learning of STEM, especially in learning contexts where English is the main medium of instruction. One such challenge is their inability to comprehend concepts, partly contributed by their weak proficiency in the English language. The problem is further compounded when the majority of STEM students do not have a specialist (technical) dictionaries to help them during their learning. In such a situation, the MatchApp web-based system provides a possible learning platform. Developed for the main purpose of helping the user match English science, technology and engineering terms to the best, context-fitting and appropriate Malay equivalents, we have found that the process of matching can, in fact, double-up as an opportunity for learning. The paper will demonstrate how MatchApp can be utilised to aid learners to understand the senses of words and terms. In this way, they will be able to grasp the concepts intended to be conveyed by the terms, thus eliminating the hurdle in their comprehension and improving their learning process. Institute of the Malay World and Civilization, Universiti Kebangsaan Malaysia 2019 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/13506/1/jatma-2019-0702-03.pdf Junaini Kasdan, and Harshita Aini Haroon, and Nor Suhaila Che Pa, and Zuhairah Idrus, and Mohamed Roshimi Md Sahor, (2019) MatchApp innovation to assist in the learning of science, technology and engineering. International Journal of the Malay World and Civilisation, 7 (2). pp. 25-35. ISSN 2289-1706 http://www.ukm.my/jatma/jilid-7-bil-2/
repository_type Digital Repository
institution_category Local University
institution Universiti Kebangasaan Malaysia
building UKM Institutional Repository
collection Online Access
language English
description The learning of science, technology, engineering and mathematics (STEM) has, in recent years, been a popular topic of deliberation in the context of the Malaysian education scenario. It pivots on suitable teaching-learning approaches to ensure that students achieve optimum competencies in STEM. The latter is particularly important in the light of Malaysia’s aspiration to be a developed nation by 2020. However, research has shown that students face particular challenges in the learning of STEM, especially in learning contexts where English is the main medium of instruction. One such challenge is their inability to comprehend concepts, partly contributed by their weak proficiency in the English language. The problem is further compounded when the majority of STEM students do not have a specialist (technical) dictionaries to help them during their learning. In such a situation, the MatchApp web-based system provides a possible learning platform. Developed for the main purpose of helping the user match English science, technology and engineering terms to the best, context-fitting and appropriate Malay equivalents, we have found that the process of matching can, in fact, double-up as an opportunity for learning. The paper will demonstrate how MatchApp can be utilised to aid learners to understand the senses of words and terms. In this way, they will be able to grasp the concepts intended to be conveyed by the terms, thus eliminating the hurdle in their comprehension and improving their learning process.
format Article
author Junaini Kasdan,
Harshita Aini Haroon,
Nor Suhaila Che Pa,
Zuhairah Idrus,
Mohamed Roshimi Md Sahor,
spellingShingle Junaini Kasdan,
Harshita Aini Haroon,
Nor Suhaila Che Pa,
Zuhairah Idrus,
Mohamed Roshimi Md Sahor,
MatchApp innovation to assist in the learning of science, technology and engineering
author_facet Junaini Kasdan,
Harshita Aini Haroon,
Nor Suhaila Che Pa,
Zuhairah Idrus,
Mohamed Roshimi Md Sahor,
author_sort Junaini Kasdan,
title MatchApp innovation to assist in the learning of science, technology and engineering
title_short MatchApp innovation to assist in the learning of science, technology and engineering
title_full MatchApp innovation to assist in the learning of science, technology and engineering
title_fullStr MatchApp innovation to assist in the learning of science, technology and engineering
title_full_unstemmed MatchApp innovation to assist in the learning of science, technology and engineering
title_sort matchapp innovation to assist in the learning of science, technology and engineering
publisher Institute of the Malay World and Civilization, Universiti Kebangsaan Malaysia
publishDate 2019
url http://journalarticle.ukm.my/13506/
http://journalarticle.ukm.my/13506/
http://journalarticle.ukm.my/13506/1/jatma-2019-0702-03.pdf
first_indexed 2023-09-18T20:05:00Z
last_indexed 2023-09-18T20:05:00Z
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