@inproceedings{40c906f2421c4083924dbee68a3a825e,
title = "Empirical investigation of cognitive load theory in problem solving domain",
abstract = "The cognitive load theory has been mainly investigated in declarative knowledge learning, typically learning with hyper-media material. In this study, the preceding findings are examined in problem solving domain with a different type of experimental task such as Reversi game. The experimental results were consistent with preceding studies, showing that extraneous cognitive load is harmful to the learning process, but the effects of intrinsic load are subject to debate. Additionally, the participants correctly evaluated each cognitive load, using a questionnaire. In addition, it was confirmed that the subjective evaluation predicted learning outcomes.",
keywords = "Cognitive load theory, Extraneous load, Germane load, Intrinsic load",
author = "Kazuhisa Miwa and Hitoshi Terai and Kazuaki Kojima",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 14th International Conference on Intelligent Tutoring Systems, ITS 2018 ; Conference date: 11-06-2018 Through 15-06-2018",
year = "2018",
doi = "10.1007/978-3-319-91464-0\_12",
language = "英語",
isbn = "9783319914633",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "120--129",
editor = "Julita Vassileva and Roger Nkambou and Roger Azevedo",
booktitle = "Intelligent Tutoring Systems - 14th International Conference, ITS 2018, Proceedings",
address = "ドイツ",
}