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All Journal Journal of Computer Networks, Architecture and High Performance Computing
Tyan Tasa
Department of Computer Science, Kartamulia University
Computer Science & IT Education

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The Effectiveness of Using Python-Based Interactive Games in Improving Student Motivation and Learning Outcomes Amril Samosir; Rizki Agung Wibowo; Tyan Tasa
Journal of Computer Networks, Architecture and High Performance Computing Vol. 8 No. 3 (2026): Research Paper July 2026
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v8i3.8987

Abstract

This study aims to analyse the effectiveness of using Python-based interactive games in improving student motivation and learning outcomes. The method used was Research and Development (R&D) based on the ADDIE model. The research design employed a One-Group Pretest-Posttest Design with 60 students as subjects. The research instruments consisted of a learning outcome test and a Likert-scale learning motivation questionnaire. Data analysis utilised descriptive statistics, N-Gain calculations, and a Paired Sample t-Test. The results showed that the average pre-test score of 67.01 increased to 82.40 on the post-test, representing a gain of 15.39 points. The learning motivation score rose from 70.85 to 82.99, an increase of 12.14 points. The N-Gain value of 0.47 falls into the moderate category. Statistical tests revealed a significant difference between pre- and post-intervention scores. These findings indicate that Python-based interactive games effectively enhance motivation and learning outcomes whilst supporting digital learning innovation
Co-Authors Amril Samosir Rizki Agung Wibowo