[AISWorld] IJWLTT Call for Papers

Raisinghani, Michael MRaisinghani at twu.edu
Fri Dec 30 01:55:15 EST 2016


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International Journal of Web-Based Learning and Teaching Technologies (IJWLTT)

An Official Publication of the Information Resources Management Association<http://www.irma-international.org/membership/2009_irma_form.pdf>

www.igi-global.com/ijwltt<http://www.igi-global.com/ijwltt>



SPECIAL ISSUE on IoT and Big data analytics in e-learning



Submission Due Date: April 10, 2017



Special Issue Editors:

Dr.P.Pasumpon Pandian, Principal, Vaigai College of Engineering, Madurai, India.

Dr.Farhad Memarzadeh , Ph.D., P.E. Director, Division of Technical Resources, National Institutes of  Health, Bethesda, MD 20892-5759, USA.

Introduction
A numerous technologies have been emerged in past decades for e-learning. IoT and big data analytics, a new approach that arises in the learning innovation with advanced emerging technology. Internet of Things actualizes and explores e-learning in educational institutions because of its decisive and effective technology, evolution and augmentation of this technology will make the future educational institutions to realize the necessity to accept and adapt this technology. IoT and big data analytics affords an infrastructure for various communication by connecting internet, it has the efficacy of synchronous storing and exchanging of gathered data on cloud computing systems. Wide range of applications affords internet of learning (IoL), IoT to improve student performance, and IoT potential to transform educational system. Analyzing and processing of IoT will facilitate students in accessing full time educational tools by collaboration with teacher and other students. Bringing down the energy costs by unifying humdrum operations like fee paying alerts, attendance, leave notification, student reports, hall tickets, and examination schedules etc., for easy automation. Big data analytics tracks and gathers data through learning management systems and interaction between learners in social media or other communication media. Scalable and flexible learning analytics tools for performance improvement depending on the need of data with online security measures due to the massive amount of assets in big data, creating big data priority list focuses one issue at a time. Big data management in corporate e-learning is improved by data outsourcing for pinpointing patterns and data that may have missed during information monitoring. IoT and big data analytics creates a sensitive gathering of intelligence data for future development and new learning management systems.

Objective

This special issue on IoT and big data endeavors the problems need to be addressed in a right away by managing various strategies like decision making tools for learning management systems, competent portage mechanism through social media platforms and corporate learning sites, behavior analysis during interaction of course by an individual or group, IoT and big data analytics for specific eLearning strategies, data-driven course personalization enhances the future development in e-learning using Internet-of-things and Big data analytics.



Recommended Topics:
Topics to be discussed in this special issue include (but are not limited to) the following:

•         Big data Computation in e-learning



•         Social and Network e-learning using WLTT



•         IoT and Cloud-based e-Learning



•         Internet of learning and enhancement of teaching experience



•         Interaction system by IoT for education support



•         Design, Model and Framework of IoT based e-Learning Systems



•         Tools and platforms for web based E-learning



•         IoT-based Learning for Oriental Language e-Learning



•         Mobile, Situated and Blended e-Learning



•         Intelligent Learner, Informal Learner and Group Modelling



•         Intelligent Tools for Visual e-Learning using Big data



•         IoT and e-Learning Analytics



•         Human Factors and Affective Computing for IoT based e-Learning



•         Web-based technologies enabled pedagogical systems and programs



•         IoT Personal e-Learning Environments



•         Game-based e-Learning and Serious Games



•         IoT and Big data personalized and Adaptive Learning



•         Web / Cloud -based technologies enabled pedagogical scenarios



•         Decision making in implementation of Web-based e-learning and teaching



•         Open educational resources



•         Knowledge-based learning and teaching technologies using IoT and Big data.



•         IoT digital libraries and Web corpora for e-learning



•         IoT-based learning and teaching by e-learning professionals.



•         IoT and Big data in e-Learning

Submission

Researchers and practitioners are invited to submit papers for this special theme issue on IoT and Big data analytics in e-learning on or before April 10, 2017. All submissions must be original and may not be under review by another publication. Interested authors should consult the journal’s guidelines for manuscript submissions at http://www.igi-global.com/Files/AuthorEditor/guidelinessubmission.pdf.  All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations. Final decision regarding acceptance/revision/rejection will be based on the reviews received from the reviewers. All submissions must be forwarded electronically to either one of this IJWLTT special issue editors.



All submissions and inquiries should be directed to the attention of:

Pasumpon Pandian: pasumponpandian32 at gmail.com<mailto:pasumponpandian32 at gmail.com>

Farhad Memarzadeh memarzaf

Sincerely,
Mahesh (Michael) S. Raisinghani, Ph.D, MBA, MS, PMP, CEC, CISM, PLD
Professor, Executive MBA Program, TWU School of Management
Fulbright Specialist Program Member
Editor in Chief, International Journal of Web based Learning and Teaching Technologies<https://owa.twu.edu/owa/redir.aspx?SURL=W-34Fo9zHXTyVdJUEUZXCKwvpzUlcyaxnXxti7Pn3tB6y48M9fDSCGgAdAB0AHAAOgAvAC8AdwB3AHcALgBpAGcAaQAtAGcAbABvAGIAYQBsAC4AYwBvAG0ALwBqAG8AdQByAG4AYQBsAC8AaQBuAHQAZQByAG4AYQB0AGkAbwBuAGEAbAAtAGoAbwB1AHIAbgBhAGwALQB3AGUAYgAtAGIAYQBzAGUAZAAtAGwAZQBhAHIAbgBpAG4AZwAvADEAMAA4ADEA&URL=http%3a%2f%2fwww.igi-global.com%2fjournal%2finternational-journal-web-based-learning%2f1081>
Member of the Board, Global Information Technology Management Association
Vice President, Global Information Technology Management 2016 World Conference
Advisory Board Member for Bloomberg BusinessWeek, Coscend Communications, CRMG, and World Affairs Council
Academic Advisor, National Society of Leadership and Success; and World Affairs Council
Email: mraisinghani at twu.edu<https://owa.twu.edu/owa/redir.aspx?SURL=Pv15sQuAmqvNMOUKMJNsTeoFocolrf-ftYZ6m3poYlt6y48M9fDSCG0AYQBpAGwAdABvADoAbQByAGEAaQBzAGkAbgBnAGgAYQBuAGkAQAB0AHcAdQAuAGUAZAB1AA..&URL=mailto%3amraisinghani%40twu.edu>
Phone: (940) 898-2930
Fax: (940) 898-2120

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Sent: Thursday, December 29, 2016 11:00 AM
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Subject: AISWorld Digest, Vol 1642, Issue 1

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Today's Topics:

   1. deadline extended ICIST17 CFP (Sean B. Eom)


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Message: 1
Date: Wed, 28 Dec 2016 11:35:38 -0600
From: "Sean B. Eom" <sbeom at semo.edu>
To: aisworld at lists.aisnet.org
Subject: [AISWorld] deadline extended ICIST17 CFP
Message-ID: <201612281735.uBSHZhh8002849 at mailhub.semo.edu>
Content-Type: text/plain; charset="us-ascii"; format=flowed

CALL FOR PAPERS ICIST 2017

7th International Conference on Information Systems and Technologies
Dubai 18 - 20 March 2017

http://www.ijist.net/ICIST2017/

- Abstract submission: January 5, 2016 / Extended

PAPER SUBMISSION:
Paper submission will be handled electronically by means of the
Easychair system. The submission page is available at:
https://easychair.org/conferences/?conf=icist20171

Abstract : 300 words

Publications
- Accepted papers will be published in the ICIST'17 proceedings.
- Selected and papers solicited through an open-call for papers will
be published in the special issue of an appropriate journal.


Local Participants Registration:
- 40 % Discount for local participants of UAE universities and all
Arabian Gulf region universities

For MORE INFORMATION,
Contact us: icist.educ at gmail.com

Best regards,

Sean Eom


*********************************************
Sean Eom
Professor of MIS
Department of Accounting, MS 5815
Southeast Missouri State University
Cape Girardeau, MO 63701
Tel. 573-651-2615 (Office)
       573-271-8770 (Home)
Fax  573-651-2992
e-mail: sbeom at semo.edu
Http://cstl-hcb.semo.edu/eom/
*********************************************




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