Title
An Advanced Elearning Environment Developed For Engineering Learners
Abstract
Monitoring and evaluating engineering learners through computer-based laboratory exercises is a difficult task, especially under classroom conditions. A complete diagnosis requires the capability to assess both the competence of the learner to use the scientific software and the understanding of the theoretical principles. This monitoring and evaluation needs to be continuous, unobtrusive and personalized in order to be effective. This study presents the results of the pilot application of an eLearning environment developed specifically with engineering learners in mind. As its name suggests, the Learner Diagnosis, Assistance, and Evaluation System based on Artificial Intelligence (StuDiAsE) is an Open Learning Environment that can perform unattended diagnostic, evaluation and feedback tasks based on both quantitative and qualitative parameters. The base architecture of the system, the user interface and its effect on the performance of postgraduate engineering learners are being presented.
Year
DOI
Venue
2015
10.3991/ijet.v10i3.4484
INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING
Keywords
Field
DocType
Electronic Learning, Engineering Education, Semisupervised Learning, Unsupervised Learning
Evaluation system,Architecture,Open learning,Scientific software,Computer science,Knowledge management,Engineering education,Monitoring and evaluation,Unsupervised learning,User interface,Multimedia
Journal
Volume
Issue
ISSN
10
3
1863-0383
Citations 
PageRank 
References 
2
0.47
11
Authors
5