TY - GEN
T1 - Recommendation mechanism based on students' working memory capacity in learning systems
AU - Chang, Ting Wen
AU - El-Bishouty, Moushir M.
AU - Graf, Sabine
AU - Kinshuk,
PY - 2013
Y1 - 2013
N2 - Students' learning performances are susceptible to their cognitive abilities, such as working memory capacity (WMC). WMC is very limited and can be easily overloaded in learning activities that require complex cognitive tasks. This study aims to provide teachers with meaningful recommendations for designing and improving learning contents and learning presentation based on students' WMC. Our previous research successfully detects students' WMC from their learning behaviours in learning systems. This paper proposes the next step of providing meaningful recommendations to the teachers based on different levels of students' WMC. The recommendations are based on the guidelines of cognitive load theory that are intended to assist in presentation of information in order to reduce working memory overload.
AB - Students' learning performances are susceptible to their cognitive abilities, such as working memory capacity (WMC). WMC is very limited and can be easily overloaded in learning activities that require complex cognitive tasks. This study aims to provide teachers with meaningful recommendations for designing and improving learning contents and learning presentation based on students' WMC. Our previous research successfully detects students' WMC from their learning behaviours in learning systems. This paper proposes the next step of providing meaningful recommendations to the teachers based on different levels of students' WMC. The recommendations are based on the guidelines of cognitive load theory that are intended to assist in presentation of information in order to reduce working memory overload.
KW - cognitive load theory
KW - instructional design
KW - learning system
KW - working memory capacity
UR - http://www.scopus.com/inward/record.url?scp=84885211025&partnerID=8YFLogxK
U2 - 10.1109/ICALT.2013.103
DO - 10.1109/ICALT.2013.103
M3 - Published Conference contribution
AN - SCOPUS:84885211025
SN - 9780769550091
T3 - Proceedings - 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013
SP - 333
EP - 335
BT - Proceedings - 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013
T2 - 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013
Y2 - 15 July 2013 through 18 July 2013
ER -