Practical Use of Machine Learning in the Minecraft Computer Game

Bezzubov, Sam S.; Frolov, Aleksey A.

doi:10.1109/elconrus51938.2021.9396731

Cited by 1 publication

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Minecraft has been used in machine learning (Bezzubov and Frolov, 2021) as well as in teaching artificial intelligence (Singh, 2020). The article (Singh, 2020) describes the use of Minecraft as a platform for teaching artificial intelligence (AI) through projectbased learning.…”

Section: Recent Approaches Of Minecraft In Educationmentioning

confidence: 99%

Help students learn interpreted Petri nets with Minecraft

Grobelna¹,

Mazurkiewicz²,

Janus³

2022

Informatics in Education

View full text Add to dashboard Cite

Background: Petri nets are a formal specification technique for modelling of control processes and modern flexible manufacturing systems. Interpreted Petri nets take into account input and output signals, allowing to apply them in any control system or even in control part of a cyber-physical system. Due to the fact that Petri nets are not used in the industrial practice, the students sometimes lack motivation to learn them. Contributions: In the paper we propose how to help students learn interpreted Petri nets with Minecraft (as a game-based learning). We show how interpreted Petri nets can be modelled in Minecraft and how they communicate with the surrounding environment via input and output signals to visualize control processes. The proposed approach has been validated experimentally among university students. Hypotheses: (1) Creating interpreted Petri net models with Minecraft helps to understand the basic principles; (2) Minecraft makes the course more attractive. Methodology: Students were divided into an experimental group (with game-based learning) and a control group (with traditional learning). The experimental group filled in a knowledge test twice (on the entry and on the exit) and a questionnaire. The control group filled in the same knowledge test at the end of the course. Findings: The observations confirm that the Minecraft-based teaching of interpreted Petri nets allows to gain better results in final tests, making at the same time the course more attractive and enjoyable.

show abstract

Section: Recent Approaches Of Minecraft In Educationmentioning

confidence: 99%