The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
A New Diagnostic Mechanism of Instruction: A Dynamic, Real-Time and Non-Interference Quantitative Measurement Technique for Adaptive E-Learning
|
|
Author(s): Pi-Shan Hsu (Ching Kuo Institute of Management and Health, Taiwan), Te-Jeng Chang (National Taiwan Normal University, Taiwan)and Ming-Hsiung Wu (National Taiwan Normal University, Taiwan)
Copyright: 2009
Volume: 7
Issue: 3
Pages: 7
Source title:
International Journal of Distance Education Technologies (IJDET)
Editor(s)-in-Chief: Maiga Chang (Athabasca University, Canada)
DOI: 10.4018/jdet.2009070105
Purchase
|
Abstract
The level of learners’ expertise has been used as a metric and diagnostic mechanism of instruction. This metric influences mental effort directly according to the applications of cognitive load theory. 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 proposes a new adaptive e-learning measurement technique which assesses learning effort in a dynamic, real-time, and non-interference instructional process. The learning effort curve is a key diagnostic to enhance interaction between instructors and learners in an adaptive e-learning instructional process.
Related Content
|
XiFeng Liao.
© 2024.
19 pages.
|
|
Ahmed Abdulateef Al Khateeb, Tahani I. Aldosemani, Sumayah Abu-Dawood, Sameera Algarni.
© 2024.
16 pages.
|
|
Hao Yang.
© 2024.
17 pages.
|
|
Mohammed Abdullatif Almulla.
© 2024.
26 pages.
|
|
Kyosuke Takami, Brendan Flanagan, Yiling Dai, Hiroaki Ogata.
© 2024.
23 pages.
|
|
Shaobin Chen, Qingrong Li, Tao Wang.
© 2024.
22 pages.
|
|
Yan Zhang.
© 2024.
16 pages.
|
|
|