@inbook{903cd68061e04f3fb597bd8117a5e579,
title = "Adaptive and personalized learning based on students{\textquoteright} cognitive characteristics",
abstract = "Working memory capacity (WMC) is a cognitive characteristic that affects students{\textquoteright} learning behaviors to perform complex cognitive tasks. However, WMC is very limited and can be easily overloaded in learning activities. Considering students{\textquoteright} WMC through personalized learning materials and activities helps in avoiding cognitive overload and therefore positively affects students{\textquoteright} learning. However, in order to consider students{\textquoteright} WMC in the learning process, an approach is needed to identify students{\textquoteright} WMC without any additional efforts from students. To address this problem, we introduce a general approach to automatically identify WMC from students{\textquoteright} behavior in a learning system. Our approach is generic and designed to work with different learning systems. Furthermore, by knowing students{\textquoteright} WMC, a learning system can provide teachers meaningful recommendations to support students with low and high WMC. Accordingly, we created a recommendation mechanism that provides recommendations based on the guidelines of cognitive load theory. These recommendations are intended to assist in presentation of information in order to reduce working memory overload. Information about WMC is also the basis for designing adaptive systems that can automatically provide students with individualized support based on their WMC.",
keywords = "Adaptive and personalized learning, Cognitive characteristics, Working memory capacity",
author = "Chang, {Ting Wen} and Jeffrey Kurcz and El-Bishouty, {Moushir M.} and Kinshuk and Sabine Graf",
note = "Funding Information: Kinshuk holds the NSERC/iCORE/Xerox/Markin Research Chair for Adaptivity and Personalization in Informatics, funded by the Federal government of Canada, Provincial Government of Alberta, and by national and international industries. He is also a Full-time Professor in the School of Computing and Information Systems and Associate Dean of Faculty of Science and Technology, at Athabasca University, Canada. After completing first degree from India, he earned his Masters{\textquoteright} degree from Strathclyde University (Glasgow) and Ph.D. from De Montfort University (Leicester), United Kingdom. His work has been dedicated to advancing research on the innovative paradigms, architectures and implementations of online and distance learning systems for individualised and adaptive learning in increasingly global environments. Areas of his research interests include learning analytics; learning technologies; mobile, ubiquitous and location aware learning systems; cognitive profiling; and interactive technologies. Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2015.",
year = "2015",
doi = "10.1007/978-3-662-44659-1_5",
language = "English",
series = "Lecture Notes in Educational Technology",
number = "9783662446584",
pages = "77--97",
booktitle = "Lecture Notes in Educational Technology",
edition = "9783662446584",
}