Design of an Intelligent Educational Resource Production System

Abstract

In the field of learning, we are witnessing more and more the introduction of new environments in order to better meet the specific needs of the main actors of the process. The shift from face-to-face learning to distance learning or e-learning has overcome some of the challenges of availability, location, prerequisites, but has been rapidly impacted by the development of mobile technology. As a result, m-learning appeared and quickly evolved into p-learning.
 The arrival of the "Open Software" concept has given birth to several "open-something" initiatives, among which are the Open Educational Resource (OER) and the Massive Online Open Course (MOOC). These learning resources have also made progress, although they are fairly recent. Admittedly, this diversity of environments offers a wealth and a multitude of pedagogical resources. However, the question of the capitalization of contents, knowledge and know-how of each of these environments is necessary. How can the exchange and reuse of pedagogical resources be guaranteed between these different learning environ-ments? otherwise-said how to guarantee the interoperability of these resources? In order to contribute to the creation of an pedagogical heritage, we propose to design a case-based system allowing the author, when creating a course in a particular context and environment, to exploit the resources that are already available. The goal is to put in place an intelligent production system based on case-based reasoning. It is based on four phases ranging from indexing to reuse, through the similarity measurement and the evaluation. 
 In the first part, we will detail the evolution of learning environments. In the second part, we will review the existing course production platforms, their prin-ciples and their challenges. In the third part, we will present case-based reasoning systems, and then we will introduce our target system.

Pedagogical Resources Indexation Based on Ontology in Intelligent Recommendation System for Contents Production in d-Learning Environment

“…Open Educational Resources or OERs and MOOCs are also rich learning content that need to be reused. Several studies (Faqihi et al, 2018) show the importance of case-based systems in the field of Artificial Intelligence. We proposed using these systems to solve our problem.…”

“…The principle of case-based systems is essentially based on use cases. (Faqihi et al, 2018) Integration of as much information as possible relating to the educational resource sought Indexing on the basis of ontology New problem.…”

“…In order to widen the field of research, in Linked Open Data, if we align the different vocabularies with the offered semantic web technologies, we can compare the common or different terms and enrich vocabularies with others by introducing (the terms equivalent, translation into other languages,...). Processing an indexed data set with controlled vocabularies makes it easy to search for information and bind data using these vocabularies (Faqihi et al, 2018).…”

“…Finally, we will conclude with perspectives. The first section is to recall the architecture of the design of the intelligent system for producing educational resources (Faqihi et al, 2018), we will detail briefly its stages by focusing on the step concerned by this communication which is "indexing". Then, we will present the indexing process in an intelligent production system with heterogeneous environments.…”

Design and Implementation of an Online Python Teaching Case Library for the Training of Application-Oriented Talents

“…Song and Huang [9], based on the full computing ecosystem of Python, gave a few interesting and useful teaching cases, greatly enriching the system and content of case teaching. Compared with other completed case libraries of program language constructed for a long time [10][11][12][13][14], the online case-based Python teaching methods and effects have been mostly studied [15][16][17], but there are relatively few studies on the construction of related case library and a lack of case resources.…”