Title
Cloud Assisted IOT Based Social Door to Boost Student-Professor Interaction.
Abstract
Face to face meetings and physical presence are important concepts in student-professor relations. Many students require flexibility in arranging meetings or the possibility of ad-hoc meeting with their professors. However, adhoc meetings could be difficult to arrange due to busy schedule of professors. It is not unusual for students to attempt several times in a day to catch a professor, or wait an hour behind his door. To overcome this challenge, some professors have teaching assistants (TAs) or office assistant who manage their schedule or provide students with helpful information on how to reach them or handover their documents, projects, etc. Many other professors do not have any secretary or TA. When students look for a professor at his office and he is not there, it is common to leave a message on a whiteboard or some paper outside the office. However, by this approach professors will not be able to update their schedule dynamically or some might not will to share their schedule with public because of their privacy concerns. Some students also intend to contact with the professor by email. Professors usually get a lot of emails every day and they will not be able to read and answer to all of them, besides it will be frustrating for students too when they don't receive feedbacks from their professors. To overcome this problem, recent technological advances could be used. We have been motivated by the problems addressed above to propose a cloud assisted IoT based cyber-physical door to boost student-professor interaction in the absence of the professor at his office. This door can be thought as a virtual secretary and an interface between students and professors to help the students to get in touch with their professors.
Year
DOI
Venue
2016
10.1007/978-3-319-40542-1_69
Communications in Computer and Information Science
Keywords
Field
DocType
Cyber-physical door,Internet of things,Student-professor interaction
World Wide Web,Computer science,Face-to-face,Internet of Things,Multimedia,Handover,Cloud computing
Conference
Volume
ISSN
Citations 
618
1865-0929
0
PageRank 
References 
Authors
0.34
1
5