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Conference proceeding
An Intelligent System Framework for Measuring Attention Levels of Students in Online Course Environments
ICAI 2015 : proceedings of the 2015 International Conference on Artificial Intelligence, p.452
ICAI'15: The 2015 International Conference on Artificial Intelligence, 17th (Las Vegas, NV, USA, 07/27/2015–07/30/2015)
01/01/2015
Abstract
With the growing popularity of online education, new challenges arise. One of those challenges, which results from the loss of face-to-face interaction, is the inability to track students' attentional response to instructional content and resources included in online courses. This paper describes an intelligent system that attempts to address this challenge, by monitoring student attention while participating in a Massive Open Online Course (MOOC). Educators and instructional designers can use the feedback gathered from the system to evaluate both the individual attentional needs of students and the effectiveness of certain instructional content and resources used in an online course, and adapt the course accordingly.
Details
- Title
- An Intelligent System Framework for Measuring Attention Levels of Students in Online Course Environments
- Publication Details
- ICAI 2015 : proceedings of the 2015 International Conference on Artificial Intelligence, p.452
- Resource Type
- Conference proceeding
- Conference
- ICAI'15: The 2015 International Conference on Artificial Intelligence, 17th (Las Vegas, NV, USA, 07/27/2015–07/30/2015)
- Publisher
- CSREA; United States
- Format
- link
- Copyright
- © CSREA 2015
- Identifiers
- 99380461297006600
- Academic Unit
- Office of Teaching, Learning, and Technology; College of Arts, Social Sciences, and Humanities; Center for Cybersecurity and AI
- Language
- English