DocumentCode
2704741
Title
A Dynamic, Real Time and Non-interference Quantitative Measurement Technique on Diagnosing Instructional Condition for Adaptive E-learning
Author
Hsu, Pi-Shan ; Chang, Te-Jeng ; Chuang, Chien-Pen ; Wu, Ming-Hsiung
Author_Institution
Ching Kuo Inst. of Manage. & Health
fYear
2008
fDate
9-12 Dec. 2008
Firstpage
1471
Lastpage
1476
Abstract
Cognitive load theory concludes that the level of learnerspsila expertise influences mental effort directly. The recent developments of evaluating learner expertise by quantitative measurement techniques are discussed in this research. Cognitive efficiency, an optimal measurement technique of expertise, was developed by Kalyuga and Sweller to replace instructional efficiency in e-learning environment for dynamically adapting instruction. But mental effort, a factor of cognitive efficiency, is assessed by a node mode measurement technique which discontinues instruction and causes interference. This research suggests a new measurement technique of assessing and measuring learnerspsila learning effort in dynamic, real-time and non-interference approach for adaptive e-learning. The learning effort curve, a friendly interface in graphic format, is developed by this technique to enhance effective interaction between instructors and learners and navigate adaptive learning.
Keywords
cognition; computer aided instruction; adaptive e-learning; cognitive load theory; dynamic real time noninterference quantitative measurement technique; friendly interface; graphic format; instructional condition diagnosis; learning effort curve; node mode measurement technique; Computer aided instruction; Conference management; Electronic learning; Graphics; Humans; Interference; Measurement techniques; Navigation; Problem-solving; Testing; adaptive e-learning; cognitive load theory; non-interference; quantitative measurement technique;
fLanguage
English
Publisher
ieee
Conference_Titel
Asia-Pacific Services Computing Conference, 2008. APSCC '08. IEEE
Conference_Location
Yilan
Print_ISBN
978-0-7695-3473-2
Electronic_ISBN
978-0-7695-3473-2
Type
conf
DOI
10.1109/APSCC.2008.108
Filename
4780887
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