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All Journal TELL - US JOURNAL Scientechno: Journal of Science and Technology
Syahputra, M
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Computer Science & IT Education Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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DEVELOPING ENGLISH LEARNING MATERIAL BY USING WEBSITE FOR MARITIME VOCATIONAL HIGH SCHOOL STUDENTS Aminah, Aminah; Syahputra, M
TELL - US JOURNAL Vol 10, No 4 (2024): Applied Linguistics in the Digital Age and Cultural Context
Publisher : Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/tus.2024.v10i4.8691

Abstract

Technology and economic development raise the importance of English ability for specific fields of work, including Nautical Merchant Vessel. In order to prepare the graduates, Nautical Merchant Vessel department of Maritime Vocational High Schools Padang provides Maritime English subject. In fact, its implementation does not give a significant contribution to improving graduates’ English ability. The learning materials do not fulfill the students’ needs so that learning materials development was carried out through research and development. The research used ADDIE model research procedure. The data was obtained through conducting interviews and spreading questionnaires to students, teachers, and three deck officers and experts. Needs analysis found English skills, teaching methodology, new topics, and language focus which are appropriate for the students. The content then was designed and developed based on learning centered approach which leads the students are not only mastering language knowledge but also content knowledge. The learning materials were presented in printed form and e-learning which supported by attractive illustrations and videos as the implementation of website. It can be accessed for inside and outside the classroom so that the students can keep interaction during their learning anytime and anywhere. This developed learning material has been assessed as valid and recommended by experts through validation judgment. 
Enhancing Algorithmic Thinking through Computational Tools: A Study on High School Computing Education Rahmawati, Rahmawati; Khan, Omar; Syahputra, M; Hanifa, Amalia; Sitepu, Ediaman
Scientechno: Journal of Science and Technology Vol. 3 No. 3 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientechno.v3i3.1657

Abstract

The importance of algorithmic thinking in modern education has grown significantly, particularly in the context of computing education in high schools. As computational tools become more accessible, their role in enhancing students' problem-solving abilities has gained considerable attention. This study investigates how computational tools can improve algorithmic thinking among high school students and their overall engagement with computing subjects. The primary objective is to assess the impact of integrating computational tools, such as programming environments and visual coding platforms, on students' development of algorithmic skills. The study adopts a mixed-methods approach, combining quantitative data from pre-and post-tests measuring algorithmic thinking skills, and qualitative data through interviews and classroom observations. A total of 150 high school students from various educational backgrounds participated in the study over one semester. The results indicate a significant improvement in students’ algorithmic thinking abilities after exposure to computational tools, particularly in areas such as problem decomposition, abstraction, and logical reasoning. Additionally, students reported higher levels of motivation and interest in computing subjects. In conclusion, the integration of computational tools in high school computing education not only enhances algorithmic thinking but also fosters greater student engagement. These findings highlight the potential of using technology to bridge the gap between theoretical concepts and practical application in computing education. Further research is encouraged to explore long-term effects and the scalability of these methods across diverse educational settings.
Co-Authors Hanifa, Amalia Khan, Omar M. Syahputra Rahmawati, Rahmawati Sitepu, Ediaman