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Titlebook: Information Systems and Technologies to Support Learning; Proceedings of EMENA Álvaro Rocha,Mohammed Serrhini Conference proceedings 2019 T

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书目名称Information Systems and Technologies to Support Learning
副标题Proceedings of EMENA
编辑Álvaro Rocha,Mohammed Serrhini
视频video
概述Includes the proceedings of the 2nd international conference Europe Middle East & North Africa Information Systems and Technologies to support Learning (EMENA-ISTL 2018) held in Fez, Morocco from 25 t
丛书名称Smart Innovation, Systems and Technologies
图书封面Titlebook: Information Systems and Technologies to Support Learning; Proceedings of EMENA Álvaro Rocha,Mohammed Serrhini Conference proceedings 2019 T
描述.This book features a selection of articles from the second edition of the conference Europe Middle East & North Africa Information Systems and Technologies to Support Learning 2018 (EMENA-ISTL‘18), held in Fez, Morocco between 25th and 27th October 2018. EMENA-ISTL’18 was a global forum for researchers and practitioners to present and discuss recent findings and innovations, current trends, professional experiences and challenges in information systems & technologies to support learning..The main topics covered are: A) information systems technologies to support education; B) education in science, technology, engineering and Mathematics; C) emerging technologies in education learning innovation in the digital age; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer communications and networks; G) IOT, smart cities and people, wireless, sensor and ad-hoc networks; H) organizational models and information systemsand technologies; I) human–computer Interaction; J) computers & security, ethics and data-forensic; K) health informatics, and medical informatics security; l) information and knowledge management; m) big data analy
出版日期Conference proceedings 2019
关键词Information Systems Technologies; Emerging Technologies in Education Learning Innovation; Software Sys
版次1
doihttps://doi.org/10.1007/978-3-030-03577-8
isbn_softcover978-3-030-13219-4
isbn_ebook978-3-030-03577-8Series ISSN 2190-3018 Series E-ISSN 2190-3026
issn_series 2190-3018
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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A New Model of Learner Experience in Online Learning Environments,ough these environments are becoming increasingly popular, many users stop learning online after their initial experience. This paper aims to develop a new multi-dimensional research model allowing to categorize and to identify the factors that could affect the learning experience (LX) in order to d
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Hybrid Recommendation Approach in Online Learning Environments,on a learner’s profile to offer content that matches his/her preferences, others consider the learner in a collective setting and offer him appreciated or popular content in his/her group..Our contribution consists of proposing a hybrid approach of RS which takes into account the learner’s preferenc
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Performance Scoring at University: Algorithm of Student Performance,ains complexly applicable in education, because of the complexity of the variables that govern it on the one hand, but also because of the performance management systems used in universities, relying instead on publications, ranking, quality standardization, access to job market, etc. The performanc
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Information System of Performance Management and Reporting at University: Example of Student Scorec ourselves if: with all these facilities, is the education system performing well? And how to measure this performance? A survey concerning experienced teachers showed that there is no access to synthetic data allowing visibility on student performance, and therefore there would not be enough monito
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A Learning Style Identification Approach in Adaptive E-Learning System,ms is to offer learns a personal and a unique learning experience based on their preferences, needs, educational background, learning style, etc. The objective of this research is to identify the learning style of the learner. The identification is based on using web Log Mining data which contain le
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