Process-based Assistance Method for Learner Academic Achievement

Autor: Leblay, J., Mourad Rabah, Champagnat, R., Nowakowski, S.
Přispěvatelé: Laboratoire Informatique, Image et Interaction - EA 2118 (L3I), Université de La Rochelle (ULR), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), La Rochelle Université (ULR), Knowledge Information and Web Intelligence (KIWI), Department of Complex Systems, Artificial Intelligence & Robotics (LORIA - AIS), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria), Leblay, Joffrey
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: E-Learning
E-Learning, Jul 2018, Madrid, Spain. pp.89-96
Scopus-Elsevier
Popis: International audience; How can we learn to use properly business software, digital environments, games or intelligent tutoring systems (ITS) ? Mainly, we assume that the new user will learn by doing. But what about the efficiency of such a method? Our approach proposes an answer by introducing on-line coaching. In learning process, learners may need guidance to help them in their academic achievement. In this paper, we introduce a process-based assistance method to provide this help. Our method proposes to build a model using process mining upon the observations collected during previous users' experiences with the considered application. It represents the steps chaining and their impacts on the states of the overall process and is used to recommend the most suitable step to guide the current user or learner. We implemented our coaching approach in the La Rochelle University Institute of Technology jury decision system to show its relevance.
Databáze: OpenAIRE