Knowledge-Based Recommender System in a Gamified Environment for Computational Thinking Development

Klinge Villalba-Condori, Julio Vera-Sancho, Cesar Vera-Vasquez, Jorge Mamani-Calcina, Hector Cardona-Reyes

Research output: Contribution to journalConference articlepeer-review


There is currently a great digital divide in Peru, only 48.7% of the population aged six and over have access to the Internet, preventing them from accessing resources for the development of computational thinking. Gamification in the educational context helps the development of computational thinking by understanding concepts of its application, but many of them do not have a data processing approach from interactions, in this research project we propose the development of a knowledge-based recommender system, in a supervised learning model, which is implemented in a video game, helping the student learning process, under the STEM framework, in this proposal students obtained improvements in the learning process, going from obtaining a 5.658 out of 14 to 10.150, and noting the interest of students in this type of technology..

Original languageEnglish
Pages (from-to)94-103
Number of pages10
JournalCEUR Workshop Proceedings
StatePublished - 2022
Event8th Iberoamerican Workshop on Human-Computer Interaction, HCI-COLLAB 2022 - Havana, Cuba
Duration: 13 Oct 202215 Oct 2022


  • Gamification
  • STEM
  • recommender system


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