Smart e-Learning Systems with Big Data
Abstract
Nowadays, the Internet connects people, multimedia and physical objects leading to a new-wave of services. This includes learning applications, which require to manage huge and mixed volumes of information coming from Web and social media, smart-cities and Internet of Things nodes. Unfortunately, designing smart e-learning systems able to take advantage of such a complex technological space raises different challenges. In this perspective, this paper introduces a reference architecture for the development of future and big-data-capable e-learning platforms. Also, it showcases how data can be used to enrich the learning process.
References
N.Contractor,“TheEmergenceofMultidimensionalNetworks”,Journal of Computer-Mediated Communication, Vol. 14, pp. 743 - 747, April 2009.
S. Manca, L. Caviglione, J. E. Raffaghelli, “Big data for Social Media Learning Analytics: Potentials and Challenges”, Journal of e-Learning and Knowledge Society, Vol. 12, No. 2, pp. 27 - 39, May 2016.
B, Kedzierska, J. Wnek-Gozdek, “Modern Didactics in Contemporary Education”, International Journal of Electronics and Telecommunica- tions, Vol. 61, No.3, pp. 251-260, 2015.
The New Media Consortium, “Horizon Report - 2017 Higher Ed- ucation Edition”, on-line: http://cdn.nmc.org/media/2017-nmc-horizon- report-he-EN.pdf [Last Accessed: Oct. 2017].
L. Cen, D. Ruta, J. Ng, “Big Education: Opportunities for Big Data Analytics”, IEEE International Conference on Digital Signal Processing, Singapore, pp. 502-506, July 2015.
S. B. Shum, R. Ferguson, “Social Learning Analytics”, Journal of Educational Technology & Society, Vol. 15, No. 3, pp. 3 - 26, July 2012.
A. Singh, “Mining of Social Media Data of University Students”, Education and Information Technologies, Vol. 22, No. 4, pp. 1515-1526, July 2017.
M. Coccoli, P. Maresca, L. Stanganelli, “The Role of Big Data and Cognitive Computing in the Learning Process”, Journal of Visual Languages & Computing, Vol. 38, pp. 97-103, Feb. 2017.
L. Caviglione, F. Davoli, “Peer-to-Peer Middleware for Bandwidth Allocation in Sensor Networks”, IEEE Communications Letters, Vol. 9, No. 3, pp. 285-287, March 2005.
M. Anshari, Y. Alas, L. S. Guan, “Developing Online Learning Re- sources: Big Data, Social Networks, and Cloud Computing to Support Pervasive Knowledge”, Education and Information Technologies, Vol. 6, No. 21, pp.1663-1677, 2016.
M. Coccoli, I. Torre, “Interacting with Annotated Objects in a Semantic Web of Things Application”, Journal of Visual Languages & Computing, Vol. 25, No, 6, pp. 1012-1020, Dec. 2014.
V. Mayer-Scho ̈nberger, K. Cukier, “Learning with Big Data: the Future of Eeducation”, Houghton Mifflin Harcourt, 2014.
B. Logica, R. Magdalena, “Using Big Data in the Academic Environ- ment”, Procedia Economics and Finance, Vol. 33, pp. 277-286, 2015.
B. Dietz-Uhler, J. E. Hurn, “Using Learning Analytics to Predict (and Improve) Student Success: a Faculty Perspective”, Journal of Interactive Online Learning, Vol. 12, No. 1, pp. 17-26, Spring 2013.
T. Yu, I. H. Jo, “Educational Technology Approach Toward Learn- ing Analytics: Relationship Between Student Online Behaviour and Learning Performance in Higher Education”, in Proceedings of the Fourth International Conference on Learning Analytics and Knowledge, Indianapolis, IN, USA, March 2014 pp. 269-270.
M. El Mabrouk, S. Gaou, M. K. Rtili, “Towards an Intelligent Hybrid Recommendation System for e-learning Platforms Using Data Mining”, International Journal of Emerging Technologies in Learning, Vol. 12, No. 6, pp. 52-76, 2017.
S. V. Kolekar, R. M. Pai, M. M. M. Pai, “Prediction of Learner’s Profile Based on Learning Styles in Adaptive e-learning System”, International Journal of Emerging Technologies in Learning, Vol. 12, No. 06, pp. 31-51, 2017.
B. Habegger, O. Hasan, L. Brunie, N. Bennani, H. Kosch, E. Damiani, “Personalization vs. Privacy in Big Data Analysis”, International Journal of Big Data, pp. 25-35, 2014.
D. Dagger, A. O’Connor, S. Lawless, E. Walsh, V. P. Wade, “Service- oriented e-Learning Platforms: from Monolithic Systems to Flexible Services”, IEEE Internet Computing, Vol. 11, No. 3, pp. 28-35, 2007.
Z. Zheng, J. Zhu, M. R. Lyu, “Service-generated Big Data and Big Data-as-a-Service: an Overview”, in Proceedings of the 2013 IEEE International Conference on Big Data, Santa Clara, CA, USA, Oct. 2013, pp. 403-410.
L. Berruti, L. Caviglione, F. Davoli, M. Polizzi, S. Vignola, S. Zappatore, “On the Integration of Telecommunication Measurement Devices within the Framework of an Instrumentation Grid”, in F. Davoli, N. Meyer, R. Pugliese, S. Zappatore (Ed.s), Grid Enabled Remote Instrumentation, Springer, pp. 283 - 300, 2009.
S. C. Kong, Y. Song, “An Experience of Personalized Learning hub Initiative Embedding BYOD for Reflective Engagement in Higher Ed- ucation”, Computers & Education, Vol. 88, pp. 227-240, Oct. 2015.
D.-H. Shin, Y.-J. Shin, H. Choo, K. Beom, “Smartphones as Smart Ped- agogical Tools: Implications for Smartphones as u-Learning Devices”, Computers in Human Behavior, Vol. 27, No. 6, pp. 2207-2214.
P. Ducange, R. Pecori, L. Sarti, M. Vecchio, “Educational Big Data Mining: how to Enhance Virtual Learning Environments”, in M. Grana, J. Lopez-Guede, O. Etxaniz, A. Herrero, H. Quintian, E. Corchado. (Eds.), Advances in Intelligent Systems and Computing, Vol. 527, pp. 681 - 690, Oct. 2016.
J.Miguel,S.Caballe ́,F.Xhafa,J.Prieto,“AMassivedataProcessing
Approach for Effective Trustworthiness in Online Learning Groups”, Concurrency and Computation: Practice and Experience, Vol. 27, No. 8, pp. 1988 - 2003, 2015.
C. Romero, S. Ventura, “Educational data Mining: a Review of the State of the art”, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), Vol. 40, No. 6, pp. 601-618, Nov. 2010.
L. Caviglione, “Introducing Emergent Technologies in Tactical and Disaster Recovery Networks”, International Journal of Communication Systems, Vol. 19, No.9, pp. 1045-1062, April 2006.
P. Chen, C.-Y. Zhang, “Data-intensive Applications, Challenges, Tech- niques and Technologies: a Survey on Big Data”, Information Sciences, Vol. 275, pp. 314-347, Aug. 2014.
M. Sharples, D. Spikol, “Mobile Learning”, in E. Duval, M. Sharples, R. Sutherland (Eds.), Technology Enhanced Learning, pp. 89-96, 2017. [30] L. Caviglione, M. Coccoli, A. Grosso, “A Framework for the Delivery of Contents in RFID-driven Smart Environments”, in Proc. of the IEEE International Conference on RFID-Technologies and Applications, Sitges, Spain, pp. 45-49, Sept. 2011.
A. del Blanco, A. Serrano, M. Freire, I. Martinez-Ortiz, B. Fernandez-
Manjon, “E-Learning Standards and Learning Analytics: can data Col- lection be Improved by Using Standard Data Models?”, IEEE Global Engineering Education Conference, Berlin, Germany, pp. 1255-1261, March 2013.
G. Cardenas, R. E. Sanchez,“Security Challenges of Distributed e- learning Systems”, in F. F. Ramos, V. Larios Rosillo, H. Unger, (Eds.), Advanced Distributed Systems, Lecture Notes in Computer Science Vol. 3563, pp. 538-544, Springer, 2005.
L. Caviglione, M. Coccoli, A. Merlo, “A Taxonomy-based Model of Security and Privacy in Online Social Networks”, International Journal of Computational Science and Engineering, Vol. 9, No. 4, pp. 325-338, 2014.
W. Mazurczyk, L. Caviglione, “Information Hiding as a Challenge for Malware Detection”, IEEE Security & Privacy, Vol. 13, No. 2, pp. 89-93, Mar.-Apr. 2015.
Downloads
Published
Issue
Section
License
Copyright (c) 2018 International Journal of Electronics and Telecommunications
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
1. License
The non-commercial use of the article will be governed by the Creative Commons Attribution license as currently displayed on https://creativecommons.org/licenses/by/4.0/.
2. Author’s Warranties
The author warrants that the article is original, written by stated author/s, has not been published before, contains no unlawful statements, does not infringe the rights of others, is subject to copyright that is vested exclusively in the author and free of any third party rights, and that any necessary written permissions to quote from other sources have been obtained by the author/s. The undersigned also warrants that the manuscript (or its essential substance) has not been published other than as an abstract or doctorate thesis and has not been submitted for consideration elsewhere, for print, electronic or digital publication.
3. User Rights
Under the Creative Commons Attribution license, the author(s) and users are free to share (copy, distribute and transmit the contribution) under the following conditions: 1. they must attribute the contribution in the manner specified by the author or licensor, 2. they may alter, transform, or build upon this work, 3. they may use this contribution for commercial purposes.
4. Rights of Authors
Authors retain the following rights:
- copyright, and other proprietary rights relating to the article, such as patent rights,
- the right to use the substance of the article in own future works, including lectures and books,
- the right to reproduce the article for own purposes, provided the copies are not offered for sale,
- the right to self-archive the article
- the right to supervision over the integrity of the content of the work and its fair use.
5. Co-Authorship
If the article was prepared jointly with other authors, the signatory of this form warrants that he/she has been authorized by all co-authors to sign this agreement on their behalf, and agrees to inform his/her co-authors of the terms of this agreement.
6. Termination
This agreement can be terminated by the author or the Journal Owner upon two months’ notice where the other party has materially breached this agreement and failed to remedy such breach within a month of being given the terminating party’s notice requesting such breach to be remedied. No breach or violation of this agreement will cause this agreement or any license granted in it to terminate automatically or affect the definition of the Journal Owner. The author and the Journal Owner may agree to terminate this agreement at any time. This agreement or any license granted in it cannot be terminated otherwise than in accordance with this section 6. This License shall remain in effect throughout the term of copyright in the Work and may not be revoked without the express written consent of both parties.
7. Royalties
This agreement entitles the author to no royalties or other fees. To such extent as legally permissible, the author waives his or her right to collect royalties relative to the article in respect of any use of the article by the Journal Owner or its sublicensee.
8. Miscellaneous
The Journal Owner will publish the article (or have it published) in the Journal if the article’s editorial process is successfully completed and the Journal Owner or its sublicensee has become obligated to have the article published. Where such obligation depends on the payment of a fee, it shall not be deemed to exist until such time as that fee is paid. The Journal Owner may conform the article to a style of punctuation, spelling, capitalization and usage that it deems appropriate. The Journal Owner will be allowed to sublicense the rights that are licensed to it under this agreement. This agreement will be governed by the laws of Poland.
By signing this License, Author(s) warrant(s) that they have the full power to enter into this agreement. This License shall remain in effect throughout the term of copyright in the Work and may not be revoked without the express written consent of both parties.