Online placement test based on Item Response Theory and IMS Global standards

TL;DR

This paper introduces an online placement test utilizing Item Response Theory and IMS Global standards to accurately assess learner skills and identify gaps for personalized learning pathways.

Contribution

It presents a novel online placement test framework that combines IRT and IMS standards with a new algorithm for precise learner competence estimation.

Findings

Effective estimation of learner levels using IRT

Identification of learning gaps for personalized remediation

Integration with e-Learning systems for adaptive course sequencing

Abstract

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.