An Automated Feedback System Based on Adaptive Testing: Extending the Model

• Main Author: Trevor Barker
• Format: Article
• Language: English
• Published: Kassel University Press 2010-06-01
• Series: International Journal of Emerging Technologies in Learning (iJET)
• Subjects: assessment; automated; feedback; computer; adaptive; testing
• Online Access: http://online-journals.org/i-jet/article/view/1235

Abstract—The results of the recent national students survey (NSS) revealed that a major problem in HE today is that of student feedback. Research carried out by members of the project team in the past has led to the development of an automated student feedback system for use with objective formative testing. This software relies on an ‘intelligent’ engine to determine the most appropriate individual feedback, based on test performance, relating not only to answers, but also to Bloom’s cognitive levels. The system also recommends additional materials and challenges, for each individual learner. Detailed evaluation with more than 500 students and 100 university staff have shown that the system is highly valued by learners and seen by staff as an important addition to the methods available. The software has been used on two modules so far over a two year period