A Study of Problem Difficulty Evaluation for Semantic Network Ontology Based Intelligent Courseware Sharing

Khan, Javed; Hardas, Manas; Ma, Yongbin

doi:10.1109/wi.2005.15

Cited by 10 publications

(1 citation statement)

References 3 publications

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“…Applied science fields like Software Engineering and Medical Science need identifying internal cognitive relations to simplify the assessment structure and to give an accurate assessment result. The difficulty in assessing the knowledge in one domain studied by [3] introduced ontological relation between the concepts in the course and test questions. In addition, the research work [4] proposed a skill that can be characterized as a pair consisting of a concept and an activity.…”

Section: Introductionmentioning

confidence: 99%

Inferring of Cognitive Skill Zones in Concept Space of Knowledge Assessment

Aboalela¹,

Khan²

2018

ijacsa

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Abstract-In these research zones of the knowledge, the assessed domain is identified. Explicitly, these zones are known as Verified Skills, Derived Skills and Potential Skills. In detail, the Verified Skills Zone is the set of tested concepts in the knowledge domain, while Derived Skills Zone is the set of the prerequisite concepts to the tested concepts based on the cognitive skills relation, whereas Potential Skills Zone is the set in the domain that have never been tested or prerequisite to the tested concepts but they are related to the tested concept based on the cognitive relation skills. Identifying cognitive relations between the concepts in one domain simplifies the structure of the assessment, which helps to find the knowledge state of the assessed individual in a short time and minimum number of questions. The existence of the concepts in the assessment domain helps us to estimate the set of the concepts that are known or not known or ready to be known or not ready to be known. In addition, it provides the output of the assessment in concept centric values in addition to the quantity values. The assessment result gives binary values of the assessed domain. "1" implies knowing the concept, whereas "0" implies not knowing the concept. The output is six sets of concepts: 1) Verified Known Skills; 2) Verified Not Known Skills; 3) Derived Known Skills; 4) Derived Not Known Skills; 5) Potential Known Skills; and 6) Potential Not Known Skills. The experiment is conducted to show the binary output of the assessed domain based on the participants' answers to the asked questions. The results also highlight the efficiency of the assessment.

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Section: Introductionmentioning

confidence: 99%