<i>Call for Special Issue Papers:</i> Multimedia Big Data Analytics for Engineering Education

Big DataVol. 8, No. 3 Calls for PapersFree AccessCall for Special Issue Papers: Multimedia Big Data Analytics for Engineering EducationDeadline for Manuscript Submission: July 31, 2020Guest Editors: Priyan Malarvizhi Kumar, Hari Mohan Pandey, and Gautam SrivastavaGuest Editors: Priyan Malarvizhi KumarMiddlesex University, United KingdomSearch for more papers by this author, Hari Mohan PandeyEdge Hill University, United Kingdom;Search for more papers by this author, and Gautam SrivastavaBrandon University, CanadaSearch for more papers by this authorPublished Online:1 Jun 2020https://doi.org/10.1089/big.2020.29034.cfp2AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail Big data analytics based on multimedia has become one of the major technological contributors across many sectors. Engineering education is one such prominent sector where the learning path is quite vast for multimedia-based big data analytics and other innovative mainstream technologies related to it. Multimedia big data analytics can create an advanced academic platform between the faculty and students in terms of education. In Engineering education, the implementation of multimedia big data analytics can strengthen the sector by enhancing the teaching methods, mapping their concepts with various information, and creating a new learning experience that has never been seen before. Integration of multimedia and big data analytics together in engineering education can also change the teaching and learning process.The evolution of Engineering education has seen massive changes in the past few years by innovative technological implementation in the digital space. In this multimedia era, Engineering education can have a very progressive future with the implementation of multimedia technologies with big data analytics. This emergence of multimedia big data may face many complications and challenges and also provide prospective opportunities in the development of applications related to engineering education.This Big Data journal special issue on “Multimedia Big Data Analytics for Engineering Education” creates a platform for the researchers and academicians to anchor various opportunities and latent directions for the development and implementation of multimedia-based big data technology and analytics in education related to Engineering. This issue will also discuss the systematic lags and potential future research directions of multimedia big data-related technologies in Engineering education.Scope and topics may include, but are not limited to:Building of Multimedia management system with the integration of Big Data AnalyticsMultimedia Data based Student-Centered Learning EnvironmentsEngaging Undergraduate Students in Multimedia Big data AnalyticsMultimedia Big Data Analytics for improved evaluation methodologyThe Need of Big data Analytic Virtual and Remote Labs in Engineering EducationActive and Collaborative Multimedia big data learningMultimedia based big data tools for Engineering educationMultimedia big data Analytics for distance and online learning for engineeringFuture of big data analytics in Basic Engineering EducationMultimedia Big Data Analytics for Educational ResearchImpact of Multimedia data in dissemination of knowledge on learning and teachingOpportunities and challenges in adapting to new Multimedia Big Data Analytics outcomesWe also encourage submission of papers that have been published in conference proceedings, with the requirement that the authors have made significant extensions as compared to the already published version of the study.Please visit the Instructions for Authors at www.liebertpub.com/bigQuestions or pre-submission queries?Please contact Guest Editor Dr. Priyan Malarvizhi Kumar at P.Malarvizhikumar@ieee.orgVisit the Instructions for Authors:www.liebertpub.com/bigSubmit your paper for peer review online:https://mc.manuscriptcentral.com/bigFiguresReferencesRelatedDetailsCited ByComputer-Aided Reading Classes for Enhancement of Critical Thinking Skills Using AI Techniques21 August 2021 | Arabian Journal for Science and Engineering, Vol. 13Application Research on Big Data of Military Training in Military Academy Teaching Volume 8Issue 3Jun 2020 InformationCopyright 2020, Mary Ann Liebert, Inc., publishersTo cite this article:Guest Editors: Priyan Malarvizhi Kumar, Hari Mohan Pandey, and Gautam Srivastava.Big Data.Jun 2020.165-166.http://doi.org/10.1089/big.2020.29034.cfp2Published in Volume: 8 Issue 3: June 1, 2020Online Ahead of Print:April 28, 2020PDF download