Mining for STEM Interest Behaviors in Minecraft

Matt Gadbury, H. Chad Lane

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We consider how pre-existing STEM interest influences the way in which adolescents engage an astronomy-themed Minecraft environment. Participants in an after-school program met for five sessions over the course of five weeks and explored a variety of hypothetical versions of Earth, such as Earth with no moon, in Minecraft. An association rule mining approach was taken to understand how differing levels of STEM interest influence in-game science tool usage and observations across worlds. Highest science tool use was observed among participants with moderate STEM interest, suggesting high engagement and desire to learn compared with the low and high STEM interest groups. High recorded observations among the high STEM interest group suggests confidence or high prior knowledge, while moderate tool use among low STEM interest learners might suggest development of interest in content.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium - 23rd International Conference, AIED 2022, Proceedings
EditorsMaria Mercedes Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova
PublisherSpringer
Pages236-239
Number of pages4
ISBN (Print)9783031116469
DOIs
StatePublished - 2022
Event23rd International Conference on Artificial Intelligence in Education, AIED 2022 - Durham, United Kingdom
Duration: Jul 27 2022Jul 31 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13356 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference23rd International Conference on Artificial Intelligence in Education, AIED 2022
Country/TerritoryUnited Kingdom
CityDurham
Period7/27/227/31/22

Keywords

  • Association rule mining
  • Minecraft
  • Motivation
  • STEM interest

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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