On Mar, 29th 2022

This presentation starts with a discussion on the profound technological changes that have taken place around us during the last two decades, supported by the new disruptive advances both on the software and the hardware sides.

In recent years, in an attempt to change the whole format of industrial automation, these developments have been taken further, especially in Germany, under the label “Industry 4.0” that has recently evolved into “Industry 5.0.” Such engineered systems are named Cyber Physical Systems that are built from, and depends upon, the seamless integration of computational algorithms and physical components.

The dominant feature of the changes is the integration of the virtual world with the physical world through the Internet of Things (IoT). The most recent development is the radical paradigm shift from “connected things” to “connected intelligence.” After reviewing these profound changes, the presentation concentrates on education. A brief history of engineering education is presented, and the recent paradigm changes are discussed, which essentially stress that skills must prevail over degrees to deal with the challenges posed by the trends of the fifth industrial revolution.

On Mar, 28th-31st 2022

The IEEE Global Engineering Education Conference (EDUCON) 2022 is the thirteenth in a series of conferences that rotate among central locations in IEEE Region 8 (Europe, Middle East and Africa). EDUCON is the flagship conference of the IEEE Education Society.
Held every year since 2010, EDUCON provides an opportunity to scientists, professional engineers, and students to present their work, publish their results, exchange ideas and network for future scientific and industrial collaborations.
The conference will continue to serve as a catalyst for connecting local and international stakeholders hence adding value to the global dialogue on how to positively contribute to the solution of the world’s engineering education.

On Jan, 29th 2022

WIMTA’34: Technical research workshop on new trends in education engineering.

Speaker: Malak Chniter, PhD Student, MIRACL Lab, University of Sfax, Tunisia
Email: [email protected]

Clustering or cluster analysis is the task of analyzing, categorizing and grouping data into a meaningful groups according to their similarities/dissimilarities measures. In the context of building best collaborative learning system, clustering/grouping students’ is an essential clustering task to impact learning in a positive way.

However, with the quickly evolution of students’ data and their different settings, the grouping task becomes more harder and time-consuming. Then, the traditional clustering algorithms are not suffcient to cope with large amount of data. They require much more power to cope with the increase of the data and acheive good clustering accuracy in reasonable time.

Recently, clustering based on the collective behaviour of ants are most promising and they showed high clustering performance. Nonetheless, these algorithms are not able to deal with huge amount of data if they are not implemented in parallel. So, parallelization  and multiagent approach are recognized solutions to improve system performances, especially in a real-time collaborative learning context.