A Digital Game to Motivate and Empower Women in Learning Algorithms for Computer Science

Background: High dropout and failure rates in introductory Computer Science courses, such as Algorithms, represent a challenge, with dropout rates particularly high among female students. Traditional teaching methods do not always maintain engagement, highlighting the need for innovative approaches that promote motivation and learning. Purpose: This study proposes the development of ProgramADAs, a digital educational game to support female undergraduate students in Computer Science and related fields. The goal of the game is to stimulate interest in the Algorithms course by providing an engaging learning experience and contributing to the reduction of dropout and failure rates. Methods: ProgramADAs was developed by students who have previously taken Algorithms, allowing their experiences to shape the creation of an educational game aligned with the challenges faced by female students. The game is customizable and incorporates game elements to promote engagement. To evaluate its effectiveness, the authors conducted two studies: the first analyzed the game’s potential as a motivational strategy, and the second assessed its usability and player experience. Results: The results indicate that ProgramADAs has significant potential as a motivational teaching tool. The usability evaluation yielded positive scores, suggesting that the game is educationally relevant and effective in supporting the teaching and learning of Algorithms. Conclusion: The results suggest that ProgramADAs has the potential to increase female students’ engagement in Algorithms. Its interactive and customizable features make it a valuable resource for improving the learning experience and addressing challenges of motivation and retention in Computer Science.