TITLE:
Towards Designing an Intelligent Educational Assessment Tool
AUTHORS:
Thair Hamtini, Shahd Albasha, Marwa Varoca
KEYWORDS:
Artificial Intelligent, Evaluation, Knowledge Space Theory, Precedence Relation, Competences
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.8 No.2,
February
10,
2015
ABSTRACT: Assessment is an important part of learning
process. It can be defined as the process of gathering information for the
purpose of making judgments about a current state of affairs presumably for the
purpose of enhancing future outcomes [1]. It determines whether or not the
goals of education are being met. Typically, most assessment tools give a
numerical score as the result of the assessment. This may not be enough to
improve the student’s progress. In this paper we defined main problems in
current assessment tools and proposed a new assessment model that uses notions
in knowledge space theory to overcome the shortage of the current assessment
models. The experiment result showed that this new prototype made the
assessment process easier and more effective. However, assessment affects
decisions about grades, instructional needs and curriculum. This is an
important phase of the learning process being showed in this paper in knowledge
states framework. Future research will focus on making the tool behave intelligently
to improve students’ learning momentum.