M Syahputra
Universitas Syedza Saintika

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Enhancing Algorithmic Thinking through Computational Tools: A Study on High School Computing Education Rahmawati Rahmawati; Omar Khan; M Syahputra; Amalia Hanifa; Ediaman Sitepu
Scientechno: Journal of Science and Technology Vol. 3 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

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.
The Effect of Digital Literacy, Technological Adoption, and Collaborative Learning on Student Engagement in Business Education Arjang Arjang; M Syahputra; Arief Fahruri; Dewi Silva
International Education Trend Issue Vol. 2 No. 2 (2024): International Education Trend Issue July–December
Publisher : PT. BATARI EDU CALYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56442/ieti.v2i2.893

Abstract

This study explores the influence of digital literacy, technological adoption, and collaborative learning on student engagement in business education. Utilizing a quantitative research design, data were collected from 300 undergraduate students enrolled in business programs through a structured questionnaire. The analysis employed descriptive statistics, correlation analysis, and multiple regression techniques to investigate the relationships between the variables. The results revealed that digital literacy, technological adoption, and collaborative learning significantly contribute to student engagement, with collaborative learning emerging as the strongest predictor. The findings underscore the importance of enhancing digital literacy and promoting technology use in educational settings, alongside fostering collaborative learning experiences, to improve student engagement in business education. These insights have implications for educators and curriculum designers seeking to create more effective and engaging learning environments.