Towards a new approach of measure of skills applied to an adaptive assessments system used in e-learning and e-recruitment

It is no coincidence that distance learning platforms are increasingly used in universities, colleges and companies seeking effective and continuous training of their employees without constraint of time and space. The effectiveness of such a learning system depends mainly on the degree of information assimilated by the learner at the end of training. In this article, we focus on the implementation of a system for measuring competence for computer sciences. This system uses the model of item response theory. The results provided by this system are presented to the student, as a dashboard. They will allow the teacher or tutor to have the necessary elements to monitor their learning by identifying the causes blocking and checking its achievements. This system can also help to improve the recruitment process of companies using it in a near-selection process of candidates for jobs.

[1]  Les estimateurs de capacité dans la théorie des réponses aux items et leur biais , 2011 .

[2]  F. Garcia,et al.  Importance of online assessment in the e-learning process , 2005, 2005 6th International Conference on Information Technology Based Higher Education and Training.

[3]  Bernard R. Gifford,et al.  Computer-Based Assessment in E-Learning: A Framework for Constructing "Intermediate Constraint" Questions and Tasks for Technology Platforms , 2006 .

[4]  Ruimin Shen,et al.  The intelligent assessment system in Web-based distance learning education , 2001, 31st Annual Frontiers in Education Conference. Impact on Engineering and Science Education. Conference Proceedings (Cat. No.01CH37193).

[5]  L. Steinberg,et al.  Computerized adaptive testing: A primer (second edition) , 2004, Quality of Life Research.

[6]  Dirk Ifenthaler,et al.  Understanding models for learning and instruction , 2008 .

[7]  Jim Reye,et al.  Student Modelling Based on Belief Networks , 2004, Int. J. Artif. Intell. Educ..

[8]  Howard Wainer,et al.  Computerized Adaptive Testing: A Primer , 2000 .

[9]  Dato N.M. De Gruijter,et al.  Statistical Test Theory for the Behavioral Sciences , 2007 .

[10]  R. Hambleton,et al.  Fundamentals of Item Response Theory , 1991 .

[11]  Nicola Henze,et al.  Implementation of a Personalized Assessment Web Service , 2006, Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06).