@inproceedings{dc298d2ec0da46eb96b0815775dbf207,
title = "Classification of Natural Language Descriptions for Bayesian Knowledge Tracing in Minecraft",
abstract = "Application of Bayesian Knowledge Tracing (BKT) has primarily occurred in formal learning settings. This paper presents an integration of BKT in an informal learning context to assess the structure and skill level of learner scientific observations. We compare different approaches to text classification in a Minecraft science simulation. Our models were trained on data collected from two separate middle schools with students of different backgrounds. Experimental results demonstrate the effectiveness of several machine learning models to automatically label observations.",
keywords = "Bayesian Knowledge Tracing, Informal learning, Minecraft",
author = "Samuel Hum and Frank Stinar and Lee, {Hae Jin} and Jeffrey Ginger and Lane, {H. Chad}",
note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; 23rd International Conference on Artificial Intelligence in Education, AIED 2022 ; Conference date: 27-07-2022 Through 31-07-2022",
year = "2022",
doi = "10.1007/978-3-031-11647-6_45",
language = "English (US)",
isbn = "9783031116469",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "250--253",
editor = "Rodrigo, {Maria Mercedes} and Noburu Matsuda and Cristea, {Alexandra I.} and Vania Dimitrova",
booktitle = "Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners{\textquoteright} and Doctoral Consortium - 23rd International Conference, AIED 2022, Proceedings",
address = "Germany",
}