Dynamic assessment approach for science subjects, modeling the performance of the learning operation

  • Okacha Diyer Faculty of Sciences Ben M'Sik - University Hassan II - Casablanca, Morocco
  • Naceur Achtaich Faculty of Sciences Ben M'Sik - University Hassan II - Casablanca, Morocco
  • Khalid Najib Superior National School of Mines - Rabat, Morocco

Abstract

We are interested in the dynamic assessment progression of scientific subjects through an intelligent approach, which will allow the teacher to manage his learning method as the session progresses. Indeed this approach allows the creation of a more effective motivating environment for any exchange between the participants in classroom. As the session progresses, the teacher assesses the students' achievements through evaluation components of scientific subjects, namely: Course questions, Examples, Application exercises and Deepening exercises. Thus, the teacher has information about the progress, the difficulties encountered by the learners and the necessary remedies which must be brought up in a timely manner. In our research, we study an approach of dynamic assessment progression for scientific subjects according to the components mentioned above. We model the dynamic assessment progression by functions, taking necessary intervention actions according to the students performance. The results of this study show that the dynamic assessment approach used, by taking into account the actions, allows the teacher to make good decisions and instantly adjust his teaching method. This assessment approach also allows each student to improve their learning according to their abilities, which promotes intrinsic motivation.
Published
Oct 29, 2021
How to Cite
DIYER, Okacha; ACHTAICH, Naceur; NAJIB, Khalid. Dynamic assessment approach for science subjects, modeling the performance of the learning operation. International Journal of Information Science and Technology, [S.l.], v. 5, n. 2, p. 30 - 39, oct. 2021. ISSN 2550-5114. Available at: <https://innove.org/ijist/index.php/ijist/article/view/203>. Date accessed: 27 nov. 2022. doi: http://dx.doi.org/10.57675/IMIST.PRSM/ijist-v5i2.203.
Section
Special Issue : Learning Systems and Innovation in Education