A Fuzzy Logic Approach to Assess Web Learner's Joint Skills
Author(s) -
Mousumi Mitra,
Atanu Das
Publication year - 2015
Publication title -
international journal of modern education and computer science
Language(s) - English
Resource type - Journals
eISSN - 2075-017X
pISSN - 2075-0161
DOI - 10.5815/ijmecs.2015.09.02
Subject(s) - computer science , task (project management) , set (abstract data type) , fuzzy logic , process (computing) , joint (building) , knowledge management , artificial intelligence , architectural engineering , engineering , management , economics , programming language , operating system
Skill assessment is an important but complicated task in the entire web based teaching and learning process. The learner's performance assessment has a strong influence on learners' approaches to learn and their learning outcomes like professional acceptability on desired skills. Most educators focus either on assessing a learner's technical skill set or non- technical skill set, individually, rather than focusing on both the aspects. This paper bridges the gap by applying fuzzy logic approach to analyze a learner's joint skills incorporating both skills-set. An already proven e-commerce website's evaluation technique has been chosen and applied in two situations of learner's skill assessment through case studies namely: technical skills evaluation, and non-technical skills evaluation. Experiments show that the learner's success depends on both sets of skill attributes. This work then proposed a novel method for skill assessment considering two (instead of one) sets of skill attributes invoking parallel or joint application of the technique. This new technique has also been analysed through a case study. Index Terms—E-learning, fuzzy logic, joint-skill, skill assessment, competencies.
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