%0 Conference Proceedings
%T Computational Linguistics and Its Implementation in e-Learning Platforms
%+ Faculty of Informatics and Management [Hradec Králové]
%A Pikhart, Marcel
%Z Part 9: Learning and Education
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 18th Conference on e-Business, e-Services and e-Society (I3E)
%C Trondheim, Norway
%Y Ilias O. Pappas
%Y Patrick Mikalef
%Y Yogesh K. Dwivedi
%Y Letizia Jaccheri
%Y John Krogstie
%Y Matti Mäntymäki
%I Springer International Publishing
%3 Digital Transformation for a Sustainable Society in the 21st Century
%V LNCS-11701
%P 634-640
%8 2019-09-18
%D 2019
%R 10.1007/978-3-030-29374-1_51
%K Artificial intelligence
%K Computational linguistics
%K e-Learning
%K m-Learning
%K Blended learning
%K Corpus linguistics
%K Natural language processing
%K Deep learning
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X We have experienced in the past few years massive use of various kinds of e-Learning methodology, such as m-learning and blended learning etc. Despite this ubiquitous implementation of these modern approaches, we still lack their proper use regarding their full exploitation in the virtual learning environment. M-learning platforms are ubiquitous, however, they lack the potential which is given to us from computational linguistics, deep learning, and artificial intelligence. The paper attempts to highlight this fact and brings this neglected topic to the attention of the creators and designers of these mobile apps because their potential is much greater and we should put our undivided attention to this issue if we want to improve the technology which we use.
%G English
%Z TC 6
%Z WG 6.11
%2 https://inria.hal.science/hal-02510090/document
%2 https://inria.hal.science/hal-02510090/file/I3E2019_paper_27.pdf
%L hal-02510090
%U https://inria.hal.science/hal-02510090
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC6
%~ IFIP-WG6-11
%~ IFIP-I3E
%~ IFIP-LNCS-11701