Students’ Needs Analysis for Video-Based Learning in Python Programming at Madrasah Aliyah

Authors

  • Dini Oktarika Universitas PGRI Pontianak Author
  • Winna Dharmayanti Universitas PGRI Pontianak Author
  • Muhamad Arpan Universitas PGRI Pontianak Author

DOI:

https://doi.org/10.31571/ijcmasted.v1i1.1083

Keywords:

Needs analysis, Learning video, Python programming, Multimedia, Madrasah Aliyah

Abstract

This study aims to analyze students’ needs for video-based learning in Python programming at Madrasah Aliyah. The research employed a quantitative descriptive approach using a survey method. The participants were students who had learned or were currently learning Python programming. Data were collected through a Likert-scale questionnaire covering indicators such as the need for learning media, preferences for video-based learning, difficulties in understanding the material, and learning style compatibility. The data were analyzed using descriptive statistics, including percentages and mean scores. The results indicate that all indicators fall into the high category, with percentages above 80%. This finding suggests that students have a strong need for video-based learning to support their understanding of Python programming. Learning videos are perceived as effective in helping students comprehend abstract concepts, enhancing learning motivation, and facilitating independent learning. This study concludes that the development of multimedia-based learning videos is essential to improve the effectiveness of Python learning in Madrasah Aliyah. Therefore, designing learning media that align with students’ needs and characteristics is crucial to support the quality of education in the digital era.

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Published

2026-07-02

Conference Proceedings Volume

Section

Innovative and Inclusive Collaborative Approaches to Address Global Challenges in Mathematics, Science, and Technology Education

How to Cite

Students’ Needs Analysis for Video-Based Learning in Python Programming at Madrasah Aliyah. (2026). Proceeding of IJC-MaSTEd (International Joint Conference on Mathematics, Science, Technology, and Education), 1(1), 189-194. https://doi.org/10.31571/ijcmasted.v1i1.1083