@inproceedings{9a45b5304eee4085a39ba865fc427042,
title = "Validity of a Content Agnostic Game Based Stealth Assessment",
abstract = "In an attempt to predict the learning of a player during a content agnostic educational video game session, this study used a dynamic bayesian network in which participants{\textquoteright} game play interactions were continuously recorded. Their actions were captured and used to make real-time inferences of the learning performance using a dynamic bayesian network. The predicted learning was then correlated with the post-test scores to establish the validity of assessment. The assessment was moderately positively correlated with the post-test scores demonstrating support for its validity.",
keywords = "Dynamic bayesian network, Educational games, Game based assessment, Sensor-free, Stealth assessment",
author = "Vipin Verma and Ashish Amresh and Craig, {Scotty D.} and Ajay Bansal",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 10th International Conference on Games and Learning Alliance, GALA 2021 ; Conference date: 01-12-2021 Through 02-12-2021",
year = "2021",
doi = "10.1007/978-3-030-92182-8_12",
language = "English (US)",
isbn = "9783030921811",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "121--130",
editor = "{de Rosa}, Francesca and {Marfisi Schottman}, Iza and {Baalsrud Hauge}, Jannicke and Francesco Bellotti and Pierpaolo Dondio and Margarida Romero",
booktitle = "Games and Learning Alliance - 10th International Conference, GALA 2021, Proceedings",
address = "Germany",
}