Abstract
In this paper, we describe the ways of improving knowledge assessment with the help of cognitive maps, made during the process of working with intelligent tutoring system “E-learning center — High-edu”. Cognitive map consists of didactic units — minimal units of knowledge about some discipline’s domain. This article shows, how they can be used in intelligent tutoring systems. The example of algorithm realization of forming the didactic units list from discipline cognitive map for consistency of test task presentation determining is shown. The operator model are presented in this paper, which can be helpful for researchers and engineers for using Prolog language for expert systems and knowledge management systems development as well as for support of educational process and the control of student knowledge that will allow achieving improvement of quality of electronic education.
Highlights
Assessment tests are one of the most powerful, reliable and objective methods of defining students’ learning success [1]
Inasmuch as test units provide a clear and correct indication of a testee on the required testing assertion, it is possible to realize an automated check of the testees’ answer correctness on test units. These include both usual testing systems that provide a random list of questions chosen from a test material bank (TMB) and adaptive systems, which are questions chosen by algorithms that consider previous test tasks and answers on them [2,3,4,5,6]
Knowing the order of learning the didactic units (DU), the discipline cognitive map can be transformed to a knowledge space, which is represented as a combinative structure of the possible conditions of student knowledge [15]
Summary
Assessment tests are one of the most powerful, reliable and objective methods of defining students’ learning success [1]. Inasmuch as test units provide a clear and correct indication of a testee on the required testing assertion, it is possible to realize an automated check of the testees’ answer correctness on test units. These include both usual testing systems that provide a random list of questions chosen from a test material bank (TMB) and adaptive systems, which are questions chosen by algorithms that consider previous test tasks and answers on them [2,3,4,5,6]. Take into account the probably guessed correct answers and the randomly guessed answers by students in the final score
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
