Implementation of a Modified Multi Objective Optimization GA Algorithm in A Stealth Assessment for School Readiness
Iyad Suleiman, Bradford University, United Kingdom ; Maha Arslan, Sakhnin College, Israel ; Reda Alhajj, University of Calgary, Canada ; Mick Ridley, University of Bradford, United Kingdom
Global Learn, in Berlin, Germany Publisher: Association for the Advancement of Computing in Education (AACE)
Assessment of children for school readiness is a crucial process that requires extensive effort to select the sequence of tests most appropriate for the particular case to be investigated. It is preferred to apply an optimization technique capable of finding an appropriate test case that better fits the skills of a given child. It is preferred to develop and employ web-based assessment systems which integrate the skills of professional domain experts. A web-based stealth assessment is used for evaluating school readiness of a child by having the child play a series of games comparing the child's performance with a database of performance results for a population. It includes a processor for processing the child's performance data, for comparing the performance data with the performance results of the population, and for applying a GA to determine the most appropriate next test for the child.
Suleiman, I., Arslan, M., Alhajj, R. & Ridley, M. (2015). Implementation of a Modified Multi Objective Optimization GA Algorithm in A Stealth Assessment for School Readiness. In Proceedings of Global Learn Berlin 2015: Global Conference on Learning and Technology (pp. 433-442). Berlin, Germany: Association for the Advancement of Computing in Education (AACE).
© 2015 Association for the Advancement of Computing in Education (AACE)