Automating a Massive Online Course with Cluster Computing
| Autor: | Timothy C. Haas |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Multimedia
Computer Networks and Communications Computer science Cheating 05 social sciences Distance education Educational technology 050301 education computer.software_genre 01 natural sciences Intelligent tutoring system Computer Science Applications Education World Wide Web 010104 statistics & probability Asynchronous communication Computer cluster ComputingMilieux_COMPUTERSANDEDUCATION Plagiarism detection Software system 0101 mathematics 0503 education computer |
| Zdroj: | International Journal of Distance Education Technologies. 14:30-48 |
| ISSN: | 1539-3119 1539-3100 |
| Popis: | Before massive numbers of students can take online courses for college credit, the challenges of providing tutoring support, answers to student-posed questions, and the control of cheating will need to be addressed. These challenges are taken up here by developing an online course delivery system that runs in a cluster computing environment and is designed to support the delivery of a course having 10K or more students. This delivery system enhances synchronous and asynchronous lectures, provides an online intelligent tutoring system, and detects plagiarism. The free software system is shown to provide fast response times when run on a mid-range cluster computer. The system's automatic plagiarism detection system is shown to be able to detect multiple authors of course assignments when used to analyze the work of actual online students. Use of this system on a large scale would allow most colleges to reduce their faculty size by 20 to 40%. |
| Databáze: | OpenAIRE |
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