The Effectiveness of Using Python-Based Interactive Games in Improving Student Motivation and Learning Outcomes

Amril Samosir; Rizki Agung Wibowo; Tyan Tasa

doi:10.47709/cnahpc.v8i3.8987

Authors

Amril Samosir Department of Management, Faculty of Economics and Management, Malahayati University
Rizki Agung Wibowo Department of Management, Faculty of Economics and Management, Malahayati University
Tyan Tasa Department of Computer Science, Kartamulia University

DOI:

https://doi.org/10.47709/cnahpc.v8i3.8987

Keywords:

Interactive games, Python, learning motivation, learning outcomes, ADDIE

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

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