Title :
Causal Analysis of Student´s Characteristics of Note-Taking Activities and Learning Performance during a Fully Online Course
Author :
Nakayama, Minoru ; Mutsuura, Kouichi ; Yamamoto, Hiroh
Author_Institution :
Human Syst. Sci., Tokyo Inst. of Technol., Tokyo, Japan
Abstract :
A fully online learning environment requires support procedures in order to promote pro-active learning. This paper presents the causal relationships between student´s characteristics, note-taking skills, learning experience, note assessment and test scores. A structural equation modeling technique is used to trace student´s learning activity as note-taking occurs. The results of this modeling technique suggest that key factors and their contributions to course performance can be measured. Also, the factors which contribute to note-taking activity were examined.
Keywords :
Internet; computer aided instruction; educational courses; statistical analysis; causal analysis; fully online course; fully online learning environment; learning experience; learning performance; note assessment; note-taking activities; note-taking skills; proactive learning; structural equation modeling technique; student characteristics; test scores; Analytical models; Correlation; Educational institutions; Equations; Iron; Materials; Mathematical model; Note-taking; causal analysis; fully online learning; student´s characteristics;
Conference_Titel :
Trust, Security and Privacy in Computing and Communications (TrustCom), 2012 IEEE 11th International Conference on
Conference_Location :
Liverpool
Print_ISBN :
978-1-4673-2172-3
DOI :
10.1109/TrustCom.2012.102