Online placement test based on Item Response Theory and IMS Global standards
This paper aims to present an online placement test. It is based on the Item Response Theory to provide relevant estimates of learner competences. The proposed test is the entry point of our e-Learning system. It gathers the learner response to a set of questions and uses a specific developed algorithm to estimate its level. This algorithm identifies learning gaps, which allows tutors to conceive sequence of courses and remediation adapted to each case of learner, in order to achieve a competence.
Keywords: Online placement test, Item Response Theory, e-Learning Adaptive System, Learner Ability, Competence Modeling, IMS Global Standards.
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ABOUT THE AUTHORS
Farid Merrouch
Engineer degree in Computer Science in 1999; Extended Higher Studies Diploma in software engineering in 2006 from Mohammadia School of Engineers (EMI); PhD Student in Computer Science; Areas of interest: Model driven engineering, patterns, semantically web and eLearning content engineering.
Meriem Hnida
Engineer degree in Computer Science in 2012 From National School of Applied Sciences (ENSA); PhD Student in Computer Science at Mohammadia School of Engineers (EMI), Areas of interest: Adaptive e-Learning systems, Competency-Based Approach, Individualized learning path.
Mohammed Khalidi Idrissi
Doctorate degree in Computer Science in 1986, PhD in Computer Science in 2009; Former Assistant chief of the Computer Science Department at the Mohammadia School of Engineers (EMI); Pedagogical Tutor of the Computer Science areas at the Mohammadia School of Engineers (EMI) Professor at the Computer Science Department-EMI; 14 recent publications papers between 2011 and 2014; Ongoing research interests: Software Engineering, Information System, Modeling, MDA,ontology, SOA, Web services, eLearning content engineering, tutoring, assessment and tracking,
Samir Bennani
Engineer degree in Computer Science in 1982; PhD in Computer Science in 2005; Former chief of the Computer Science Department at the Mohammadia School of Engineers (EMI); Professor at the Computer Science Department-EMI; 14 recent publications papers between 2011 and 2014; Ongoing research interests: SI, Modeling in Software Engineering, Information System, eLearning content engineering, tutoring, assessment and tracking.
Farid Merrouch
Engineer degree in Computer Science in 1999; Extended Higher Studies Diploma in software engineering in 2006 from Mohammadia School of Engineers (EMI); PhD Student in Computer Science; Areas of interest: Model driven engineering, patterns, semantically web and eLearning content engineering.
Meriem Hnida
Engineer degree in Computer Science in 2012 From National School of Applied Sciences (ENSA); PhD Student in Computer Science at Mohammadia School of Engineers (EMI), Areas of interest: Adaptive e-Learning systems, Competency-Based Approach, Individualized learning path.
Mohammed Khalidi Idrissi
Doctorate degree in Computer Science in 1986, PhD in Computer Science in 2009; Former Assistant chief of the Computer Science Department at the Mohammadia School of Engineers (EMI); Pedagogical Tutor of the Computer Science areas at the Mohammadia School of Engineers (EMI) Professor at the Computer Science Department-EMI; 14 recent publications papers between 2011 and 2014; Ongoing research interests: Software Engineering, Information System, Modeling, MDA,ontology, SOA, Web services, eLearning content engineering, tutoring, assessment and tracking,
Samir Bennani
Engineer degree in Computer Science in 1982; PhD in Computer Science in 2005; Former chief of the Computer Science Department at the Mohammadia School of Engineers (EMI); Professor at the Computer Science Department-EMI; 14 recent publications papers between 2011 and 2014; Ongoing research interests: SI, Modeling in Software Engineering, Information System, eLearning content engineering, tutoring, assessment and tracking.
