The Special Track on Big Data, Analytics & Machine Learning in Education at IEEE TALE 2019 will focus on the use of big data in conjunction with data mining, analytics and other machine learning techniques for understanding and enhancing learning experiences and for improving learning outcomes, in all sectors and at all levels of education. Papers and presentations are encouraged that address questions such as: “Which aspects of education can benefit the most from the use of data-informed and data-driven approaches?” and “What are the best practices for the use of big data and analytics in various learning domains and disciplines?”. The track especially welcomes, but is not restricted to, submissions relating to education in engineering and computing disciplines that are represented within the IEEE community.
23 August 2019 : Paper submission HARD deadline
20 September 2019 : Notification of review outcomes
20 October 2019 : Camera-ready papers due
09 October 2019 : Early-bird and presenter registration deadline
10 December 2019 : Conference opening
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POTENTIAL TOPIC AREAS
PRESENTATION FORMATS FOR ACADEMICS AND PRACTITIONERS
PAPER/PROPOSAL SUBMISSION AND REVIEW
Submissions will be accepted only electronically through the conference website, from which guidelines and templates are available. A double blind peer-review process will be used to evaluate all submitted papers and presentation proposals. Please submit your paper via online submission as shown in http://tale2019.org/authors-and-presenters/paper-submission.
PUBLICATION AND INDEXING
All accepted and registered full, short, and work-in-progress papers that are presented at TALE 2019 in the Academic Stream will be published in the conference proceedings (USB with ISBN) and submitted to the IEEE Xplore® digital library. Content loaded into Xplore is made available by IEEE to its abstracting and indexing partners, including Elsevier (Scopus, Ei Compendex), Clarivate Analytics (CPCI—part of Web of Science) and others, for potential inclusion in their respective databases. In addition, authors of selected papers may be invited to submit expanded versions of their papers for consideration for special issues of a number of journals to be published in conjunction with the Special Track.
This Special Track is being organised in cooperation with: