A Tutorial Supervisor for Automatic Assessment in Educational Systems
Duncan Mullier, Leeds Metropolitan University, United Kingdom
International Journal on E-Learning Volume 2, Number 1, ISSN 1537-2456 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA
This article reports on work completed on an automated "Tutorial Supervisor" for a hypermedia-based educational system. The Tutorial Supervisor (TS) is an automatic system for grading a student into an ability level in response to the student's interaction with tutorial questions. Once the student has been graded then a question or tutorial can be selected which is inline with best pedagogic practice. Our TS is able to adapt to both students and questions/tutorials as the system is in use, as opposed to requiring the system to be taken off-line and reprogrammed/trained. The TS's ability to respond in real-time to a student's changing ability and how a population of students perceive a particular tutorial or question is brought about by the use of a specialist neural network device that is able to learn and adapt without human intervention. Such an automated system is seen as imperative for multimedia-based educational systems, since it allows the use of adaptive techniques for material presentation with which to challenge and engage the student.
Mullier, D. (2003). A Tutorial Supervisor for Automatic Assessment in Educational Systems. International Journal on E-Learning, 2(1), 37-49. Norfolk, VA: Association for the Advancement of Computing in Education (AACE).
© 2003 Association for the Advancement of Computing in Education (AACE)