Aimad Belboukhari

Work place: Interdisciplinary Research Laboratory in Bio-Resources Environment and Materials "LIRBEM", Ecole Normale Superieure, University Cadi Ayyad Marrakech, Morocco



Research Interests:


Belboukhari Aimad was born in 1983 at Marrakesh, Morocco. Aggregate Professor degree in Physics in 2016. PhD in Physical sciences and techniques in 2013, and master’s degree in Materials sciences in 2009 at Cadi Ayyad Uneversity/Marrakesh, Morocco. He is now a PhD teacher of physical sciences at Ecole Normale Superieur (ENS), Cadi Ayyad University/Marrakesh. His research area is on Elaboration, characterization, and ab-initio simulation of material’s functional properties (ceramics and thin films). Coordinator of the License's degree in teaching and training professions in physics and chemistry.

Author Articles
The Effect of Two Computer Simulations on Learning Quantum Measurement Concepts

By Khalid Ait Bentaleb Saddik Dachraoui Taoufik Hassouni Aimad Belboukhari El Mehdi Alibrahmi

DOI:, Pub. Date: 8 Jun. 2024

The majority of undergraduate students finddifficulty to understand the concept of  postulates of quantum mechanics, precisely the postulates of measurement, reduction and evolution. Here, we include In this context we propose a pedagogical innovation technique based on the integration of two simulation projects of Quvis and Quilts. Then, we assess the student's understanding capacity. Here, Our results demonstrate , that the explanation of the postulates of quantum mechanics by manipulating the two simulations by the experimental group , For evaluated our pedagogical innovation , a pre-test and a post-test were administered for two experimental and control groups; the pre-test is composed of 19 multiple choice questions, and the post-test is composed of 12 questions for two groups, one using the simulations during quantum mechanics lectures and the other group learned the course of quantum mechanics without using simulations. A statistical analysis of the results showed that the distribution of pre-test results of the experimental group wasn't normal. In contrast, the distribution of the results of the control group was normal, so the Mann-Whitney U Test analysis showed that there is no difference between the results of the two groups in the pre-test, which shows the homogeneity of the two groups. The distribution of the post-test results of the two groups is normal, so the T-test analysis showed that there is a difference between the results of the two groups, with the average of results of the control group is 7.4, and of the experimental group is 11.4, the comparison of the pre-test and post-test results of the experimental group shows that there is a significant increase in the students' results after the integration of two simulations. The analysis of the results of the quiz showed that there was a significant improvement in understanding of the concepts of measurement and evolution in the group that benefited from the use of the simulations. 

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