Learning Engineering involves the application of evidence-based learning sciences principles and methods, using engineering approaches, to the design and development of technology enabled learning solutions, systems and experiences. The aim of this Special Track is to foster scholarly dialogue and ideas exchange around the establishment and advancement of the new field of Learning Engineering as both an academic and professional discipline. Submissions are especially encouraged that engage deeply with questions about what constitutes a 'learning engineer', and how academia and industry can best prepare these professionals to meet the educational and learning challenges of the future. (Note: As the focus of this track will be on definitional, curricular and industry-needs perspectives and issues relating to Learning Engineering, papers and proposals for presentations reporting on specific learning technology development efforts, applications and studies should be submitted to one of the other TALE 2019 tracks.)
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 : firstname.lastname@example.org
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.