Title :
Using the Rasch model to assess examination Beyond students´ scores
Author :
Ibrahim, Faridah Mohamed ; Aziz, Azrilah Abdul ; Zubairi, Yong Zulina ; Zaharim, Azami
Author_Institution :
Centre for Found. Studies in Sci., Univ. Malaya, Kuala Lumpur, Malaysia
Abstract :
Similar to most institutions of higher learning (HLI) around the globe, the admission requirements for all HLI in Malaysia offering engineering courses include good grades in physics, mathematics or other numerate subjects. Students´ evaluations are based on the grades scored from administrative tests, quizzes and assignments are convenient as it provides a summative measure of students´ cognitive ability. However, such measure is said be lacking in precision and low in reliability when measuring achievement levels of individual students. The aim of this paper is to reassess the method of evaluation by taking into account of the measurements of items and linear measures for persons and items. Using the stochastic Rasch model, performance of the matriculation students in the Physics examination paper is examined. The study suggests that the item model gives a good fit but persons and items measurement gives a fair fit. The measurement also indicates that a number of students encounter significant difficulties in grasping some of the fundamental topics in physics. These findings provide valuable insights into the structure and functionality of the examination paper. In general terms, it provides useful information in ensuring quality delivery of teaching and learning at the matriculation level.
Keywords :
cognition; educational courses; further education; mathematics; physics education; stochastic processes; teaching; Malaysian HLI; administrative tests; admission requirements; assignments; engineering courses; fair fit; good fit; grades; higher learning institutions; item measurement; item model; linear measures; mathematics; matriculation student performance; physics examination paper; quiz; stochastic Rasch model; student achievement levels; student evaluation; student scores; summative student cognitive ability measures; teaching; Analytical models; Engineering education; Instruments; Measurement uncertainty; Physics; Reliability; Rasch Model; higher learning; items; matriculation; teaching and learning;
Conference_Titel :
Global Engineering Education Conference (EDUCON), 2012 IEEE
Conference_Location :
Marrakech
Print_ISBN :
978-1-4673-1457-2
Electronic_ISBN :
2165-9559
DOI :
10.1109/EDUCON.2012.6201058