Konferenzen zum Thema Computergestütztes Lernen in Marokko

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EMENA-ISTL-2019 — 3th International Conference Europe Middle East & North Africa On Information System Technology and Learning Researches
21. Nov 2019 - 23. Nov 2019 • Marrakech, Marokko
EMENA-ISTL 2019 attracts researchers, scientists, PhD students, and technologists from some of the top companies, universities, research firms and government agencies from around the world. Each paper will be reviewed by at least three regular PC members or two senior PC members. The acceptance decisions will take into account paper novelty, technical depth, elegance, practical or theoretic impact, and presentation.
Email: emena2019@emena.org
Topics: Original papers are solicited in, but are not limited to, the following topics: A) Information Systems Technologies to Support Learning; B) Smart Emerging Technologies in Education, Learning Innovation in Digital Age; C) Big Data Analytics and Applications, Intelligent Data Systems, Machine Learning; D) Software Systems, Architectures, Applications and Tools; E) IOT, Smart Cities, Healthcare and People, Wireless, Sensor and Ad-Hoc Networks; F) Computer Communications and Networks; G) Human-Computer Interaction, Multimedia Systems and Applications; H) Organizational Models, Information Systems and Technologies; I) Language and Image Processing, Computer Vision, & Pattern Recognition J) Computers & Security, Ethics and CyberCrime & Data-forensic; K) Health Informatics, and Medical Informatics Security; L) Distributed, parallel and HPC systems; M) Social networks, e-comerce, e-management, e-finance & e-markiting N) Artificial Intelligence, High Performance Computing, O) Mobile, Embedded and Ubiquitous Systems; P) Cryptography, Watermarking and Blockchain; Q) Interdisciplinary Field of Fuzzy Logic and Data Mining; R) Bioinformatics and Computational Biology, S) Intelligent Robotics and Multi-agent systems; T) Information storage, indexing and retrieval
EDM 2020 — 13th International Conference on Educational Data Mining
10. Jul 2020 - 13. Jul 2020 • Ifrane, Marokko
Educational Data Mining is a leading international forum for high-quality research that mines datasets to answer educational research questions, including exploring how people learn and how they teach. These data may originate from a variety of learning contexts, including learning and information management systems, interactive learning environments, intelligent tutoring systems, educational games, and data-rich learning activities. Educational data mining considers a wide variety of types of data, including but not limited to raw log files, student-produced artifacts, discourse, and multimodal streams such as eye-tracking and other sensor data. The overarching goal of the Educational Data Mining research community is to support learners and teachers more effectively, by developing data-driven understandings of the learning and teaching processes in a wide variety of contexts and for diverse learners.
Improving Learning Outcomes for All Learners
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Stand vom 15. November 2019