"Creative & Innovative Education to Enhance the Quality of Life"

Special Track on Big Data, Analytics & Machine Learning in Education

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.


05 September 2019 : Paper submission FINAL deadline

25 September 2019 : Notification of review outcomes

15 October 2019 : Camera ready submission & Registration (early bird)

31 October 2019 : Camera ready submission & Registration (Regular)

10 December 2019 : Conference opening

CONTACT : analytics@tale2019.org


  1. The connections between data analytics and educational research and practice
  2. Use of data analytics and machine learning in designing for learning in K-12 and higher education; to support workplace learning; and in informal and lifelong learning contexts
  3. Big-data analytics and machine learning methods and tools for understanding and improving learning at scale (e.g., in MOOCs and in massively multiplayer games)
  4. Case studies of institutional and enterprise adoption and implementation of data analytics
  5. Data analytics for providing learner feedback, and for adaptive and personalised learning
  6. Assessment and evaluation of learning processes and outcomes through data analytics
  7. Architectures/infrastructure for data-driven and analytical support of teachers & students
  8. Application of technical standards/specifications for learning analytics (e.g., xAPI, Caliper)


  • Full (6-8 pages) or short (4-6 pages) paper w/ Oral Presentation l
  • Short (4-6 pages) or work-in-progress paper (4-6 pages)) w/ poster Presentation


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.


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.


  • Spits Warnars Harco Leslie Hendric, Binus University, Indonesia.
  • Yaya Heryadi, Binus University, Indonesia
  • Reina Setiawan, Binus University, Indonesia;
  • Vitomir Kovanovic, University of South Australia
  • Chi-Un Lei, The University of Hong Kong, Hong Kong
  • Hiroaki Ogata, Kyoto University, Japan

This Special Track is being organised in cooperation with:


Conference Date
10-13 December 2019
Royal Ambarrukmo Hotel, Yogyakarta - Indonesia

Paper submission FINAL deadline:
05 September 2019

Notification of acceptance:
25 September 2019

Camera ready submission & Registration:
15 October 2019 (early bird)

Camera ready submission & Registration:
31 October 2019 (Regular)
Tutorial proposals:
25 October 2019

Technical co-sponsor:
Hosted by:
Supported by: