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

By Okacha Diyer, Naceur Achtaich, Khalid Najib


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.

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K. Ficher, ``Environnements p'edagogiques actifs facilit'es par la technologie: Une 'evaluation,'' Paris OECD, 2010.

M. Lebrun, C. Lison, and C. Batier, `` Les effets de l'accompagnement techno-p'edagogique des enseignants sur leurs options p'edagogiques, leurs pratiques et leur d'eveloppement professionnel,'' Revue internationale de p'edagogie de l'enseignement sup'erieur, Vol. 32-1, 2016.

R. Puentedura,``Building upon SAMR,'' Hippassus, 2012.

C. Lemke, and E.C Coughlin,``Technology in American Schools. Seven dimensions for gauging progress,'' Santa Monica, CA: Milken Exchange Commission on Educational Technology, 1998.

Y. Yakovleva, and N. Goltsova,``Information and communication technologies as a means of developing pupils' learning motivation in elementary school, '' Social and Behavioral Sciences 233, vol. 428--432, 2016.

E. M"aki"o-Marusik, A. W. Colombo, J. M"aki"o,and A. Pechmann,``Concept and case study for teaching and learning industrial digitalization,'' Procedia Manufacturing, Vol. 31, pp. 97--102, 2019.

M. Tisch M, C. Hertle, E. Abele, J. Metternich, and R. Tenberg,``Learning factory design: A competency-oriented approach integrating three design levels,'' Int. Journal of CIM 29(12):1355- 375, 2015.

J. M"aki"o, E. M"aki"o-Marusik, and E. Yablochnikov,``Task-centric holistic agile approach on teaching cyber physical systems engineering, '' IECON 2016-42nd Annual Conference of the IEEE, pp. 6608--6614, 2016.

C. Gottfredson, B. Mosher, ``Innovative performance support: Strategies and practices for learning in the workflow,'' McGraw-Hill, 2011.

H. Oestreich, T. T"oniges, M. Wojtynek, and S. Wrede,``Interactive learning of assembly processes using digital assistance,'' Procedia Manufacturing, vol. 31, 14--19, 2019.

Z. Hodaie, J. Haladjian, B. Bruegge,``TUMA: Towards an intelligent tutoring system for manual-procedural activities,''

Intelligent Tutoring Systems, ITS 2018. Lecture Notes in Computer Science, vol. 10858, pp.326--331. Springer, Cham, 2018.

C. Prinz, D. Kreimeier, and B. Kuhlenkotter,``Implementation of a learning environment for an industrie 4.0 assistance system to improve the overall equipment effectiveness,'' Procedia Manufacturing, vol. 9, 159--166, 2017.

B. Suniti,``From research skill development to Work skill development,'' Journal of University Teaching and Learning Practice, vol. 15(4), 2018.

M. Sullivan, and S. Bandaranaike,``Challenges of the new work order: A work skills development approach,'' in Proceedings of the 20th World Conference on Cooperative and Work Integrated Learning, Chiang Mai, 2017.

E. Baafi, R. Tolhurst, and K. Marston,``The work skills development framework, applied to minerals industry employability - A Story of Practice,'' Proceedings of the International Conference on Models of Engaged Learning and Teaching, Adelaide, pp. 11--13 December 2017.

N. Tvenge, D. Ogorodnyk,``Development of evaluation tools for learning factories in manufacturing education,'' Procedia Manufacturing, 23, 33-38, 2018.

D. Arena, S. Perini, M. Taisch, and D. Kiritsis, ``The training data evaluation tool: Towards a unified ontology-based solution for industrial training evaluation,'' Procedia Manufacturing, vol. 23, pp. 219--224, 2018.

S. A. D. Popenici, and S. Kerr,``Exploring the impact of artificial intelligence on teaching and learning in higher education,'' Popenici and Kerr Research and Practice in Technology Enhanced Learning, pp. 12--22, 2017.

M. Chassignol, A. Khoroshavin, A. Klimova, and A. Bilyatdinova, ``Artificial intelligence trends in education: a narrative overview, '' Procedia Computer Science, vol.136, pp. 16--24, 2018.

G. Rao, M. Shuker, and R. Loudon,``Implementing emerging technologies to support work-integrated learning in allied health education, '' The Journey From Exploration to Adoption Emerging Technologies and Work-Integrated Learning Experiences in Allied Health Education, pp. 266--300, 2018.

S. Chattopadhyay, S. Shankar, R. B. Gangadhar, and K. Kasinathan, ``Applications of artificial intelligence in assessment for learning in schools,'' In J. Keengwe (Ed.), Handbook of Research on Digital Content, Mobile Learning, and Technology Integration Models in Teacher Education, pp. 185--206, Hershey, PA: IGI Global, 2018.

G. Herrera, L. Vera, J. Sevilla, C. Portal'es and S. Casas, ``On the development of VR and AR learning contents for children on the Autism spectrum: From real requirements to virtual scenarios,'' Augmented Reality for Enhanced Learning Environments, pp. 106--141, 2018.

B. O. Ogunlade, and L. K. Bello, ``Pre-service teachers' perceived relevance of educational technology course, digital performance: Teacher perceived of educational technology,'' International Journal of Technology Enabled Student Support Services, pp. 41--54, 2019.

O. Diyer, N. Achtaich and K. Najib, `` Artificial Intelligence in Learning Skills Assessment: a Pedagogical Innovation,'' NISS2020: Proceedings of the 3rd International Conference on Networking, Information Systems & Security, pp. 1--5, 2020.

O. Diyer, N. Achtaich and K. Najib. ``An Intelligent Strategy for Developing Scientific Learning Skills,'' Advances in Science, Technology & Innovation, (Eds): Emerging Trends in ICT for Sustainable Development. 978-3-030-53439-4, 496016-1-En, 2020.

O. Diyer, N. Achtaich and K. Najib. ``An Intelligent Procedure for Dynamic Evaluation in a Scientific Learning Session,'' Journal of Physics : Conference Series. (1743) 012012, 2021.

O. Diyer, N. Achtaich and K. Najib. ``An Intelligent System for the Dynamic Assessment of Scientific Subjects,'' 3rd IEEE Conference on E-Learning and innovation in EDucation, 6th IEEE Congress on Information Science and Technology, 2020.

International Journal of Information Science and Technology (iJIST) – ISSN: 2550-5114