Massive open online courses (MOOCs) expansion encounter many challenges related to different aspects, from learner’s perspective to teacher’s perspective, to technological aspects. Previous studies demonstrated the prevailing challenges pertaining to Academic contexts using both qualitative analysis and quantitative analysis of different samples from different countries. In our study, we have tried to look at practices from all over the world regarding MOOCs implementation, we presented a summary of the major challenges of MOOCs as well as their strengths vis as vis the open education in both general and academic contexts. Following the steps of Khan’s framework for online learning, our ultimate objective was to come up with an approach that can bridge the challenges that hinder current effective delivery of MOOCs and calls for metrics that respect the results of previous work in the implementation of blended learning in the Academic context.
Abstract-Computer Supported Collaborative Learning (CSCL) is a new mode of teaching and one of the popular approaches for learning process. It allows virtual interactions between groups by providing tools such as: chat, internal email and discussion forums. One of the major problems caused by this learning process is the neglect and isolation of learners in groups, and usually is the cause of a heterogeneous group through social, cognitive or emotional ways. The method used is based on the exploitation of traces left on the online learning platform by learners and groups. The data collected from the environment can be observed and exploited in order to build social and cognitive indicators. Our approach is to design a model which assists the tutor to rebuild groups who are not homogeneous in order to prevent their isolation and abandonment. Our model offers the tutor the opportunity to rebuild the groups in an automatic way and based on the characteristics of quantitative indicators of all learners. Our work allowed us to test our algorithm from a functional and technical point of view and also identifies real variables from a collaborative online learning. It also allowed us to evaluate six different indicators proposed for this experiment, showing that they may assist the tutor to rebuild many groups again. The results show us that after the rebuilding groups, there has been a lot of participation in the forum and a considerable number of shares and documents deposited to the forum for each group. This high frequency of interaction between learners, lead them to a fruitful collaboration, and a good quality work at the end.
E-learning, or learning via a computer or mobile device, is growing. It can take many forms, such as an annotated PowerPoint presentation, a tutorial, or an interactive role-playing game .The possibilities are endless. Today, 80% of companies and communities have done a number of interesting and effective e-learning solutions, and 30% of all professional training are e-learning courses. The development of these platforms is based mainly on different technologies. This technological diversity can make comparing or managing E-learning platforms difficult, and the choice of a given platform will be also complex. Therefore, to address this problem, this paper proposes a solution to generate a PSM model based on n-tier architecture from a PIM model. The language used is the QVT (Query View Transformation) transformation language.
‘You need to have five fingers touching the factory and five touching the customer.’ Amancio ORTEGA, Inditex Chairman Fast fashion figures among the most lucrative using industries of the modern economies. With $25 billion annual sales in 2018, Zara that pioneered fast-fashion art has achieved an outstanding rapid surge, conquering 96 markets worldwide. The proposed paper presents the results of a critical thinking on how Zara applied innovation and continuous improvement in its operations and strong business model to maintain its unique competitive advantage over time. Our study shows that the secrets behind its exponential success are mainly a sophisticated sustainable supply chain, integrating efficiently the layers of design, sourcing, manufacturing, and distribution to stores for customers. It has to do with the best trade-off between low storage and shorter time response to customers in a contracted volatile market. Concisely, this research on specialized studies done over recent years seeks to help professional leaders grasp the best managerial and relational practices, along with developed operations’ research tools based on demand forecasting, inventory-distribution and clearance pricing optimization models. It aims also at enriching their knowledge with some non-quantitative methods related to clients’ preferences, ‘glocal strategy’ for adaptation, and social responsibility. As such, in view of the frequent conjunctional use of economic intelligence and emotional intelligence by Zara, we coined the neologism ‘ecomotional intelligence’, as a guide to belief and action.
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