A Study on the Relations of Learner's Characteristics, Learning Participation and Learning Performance in e-Learning Logistics Education

2010 ◽  
Vol 11 (3) ◽  
pp. 239-264
Author(s):  
김영민
Keyword(s):  
Learning Performance ◽  
E Learning

Information Security Awareness On-Line Materials Design with Knowledge Maps

2014 ◽  
pp. 288-303 ◽  
Author(s):  
Ruey-Shiang Shaw ◽  
Huan-Chao Keh ◽  
Nan-Ching Huang ◽  
Tien-Chuan Huang
Keyword(s):  
Information Security ◽  
Learning Performance ◽  
Knowledge Map ◽  
Security Awareness ◽  
Public And Private ◽  
Knowledge Maps ◽  
Information Security Awareness ◽  
Training Materials ◽  
E Learning ◽  
Security Awareness Training

Information Security Awareness, though known as a primary and important issue in the domain of Information Security, CSI computer crime and security survey showed poor security awareness training in public and private sectors. In many studies, the authors have found that the usage of knowledge maps helps the process of learning and conception building. Therefore, the authors have tried to figure out if the implementation of knowledge maps on the training materials of Information Security Awareness will improve the learning performance. Based on the e-learning materials for E-Mail Information Security Awareness, the authors designed them in the format of knowledge maps and compared the learning performance with common browsing-based materials. The results showed the knowledge map-based materials lead to higher learning performance than browse-based ones.

End-User Quality of Experience-Aware Personalized E-Learning

2011 ◽  
pp. 281-301
Author(s):  
Cristina Hava Muntean ◽  
Gabriel-Miro Muntean
Keyword(s):  
Learning Process ◽  
User Satisfaction ◽  
Quality Of Experience ◽  
Learning System ◽  
Learning Performance ◽  
End User ◽  
Delivery Performance ◽  
E Learning ◽  
Result Analysis

Lately, user quality of experience (QoE) during their interaction with a system is a significant factor in the assessment of most systems. However, user QoE is dependent not only on the content served to the users, but also on the performance of the service provided. This chapter describes a novel QoE layer that extends the features of classic adaptive e-learning systems in order to consider delivery performance in the adaptation process and help in providing good user perceived QoE during the learning process. An experimental study compared a classic adaptive e-learning system with one enhanced with the proposed QoE layer. The result analysis compares learner outcome, learning performance, visual quality and usability of the two systems and shows how the QoE layer brings significant benefits to user satisfaction improving the overall learning process.

Learning performance prediction via convolutional GRU and explainable neural networks in e-learning environments

Computing ◽  
2019 ◽  
Vol 101 (6) ◽  
pp. 587-604 ◽  
Author(s):  
Xizhe Wang ◽  
Pengze Wu ◽  
Guang Liu ◽  
Qionghao Huang ◽  
Xiaoling Hu ◽  
...  
Keyword(s):  
Neural Networks ◽  
Learning Environments ◽  
Performance Prediction ◽  
Learning Performance ◽  
E Learning
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