Track description and topics of interest
The ICALT2020 Doctoral Consortium aims to support and inspire PhD students during their ongoing research efforts on topics related to Advanced Learning Technologies. The Doctoral Consortium will provide PhD students with the opportunity to present, discuss, and receive feedback on their research in the context of a well-known and established interdisciplinary and international conference (i.e., outside of their usual local research environment). Prominent professors and researchers in the field of Advanced Learning Technologies will reflect on the selected papers and get engaged in a scientific dialogue with the PhD students.
The Doctoral Consortium itself will consist of two sessions. The first session aims at giving students the chance to present their work to others and get familiar with the work of other PhD students in their area. Each PhD student will give a brief presentation (about 15 minutes) about his/her work, with focus on motivation and research problem. The second session aims at giving students feedback from an expert in their area and let them discuss their work with him/her as well as with few other PhD students doing research in similar research areas.
Topics of interest include, but are not limited to, the following:
Submission and publication of papers
Authors are required to follow ICALT 2020 Important dates (i.e., submission by January 12, 2020) and adhere to the ICALT 2020 author guidelines when preparing their papers, and submit their papers through the usual ICALT 2020 submission system. Additionally, at the same time as the paper is submitted via the conference system, an email from the main supervisor must be sent to the Doctoral Consortium Program Chairs to confirm that he/she supports this submission. For information regarding the Doctoral Consortium, please contact Luis Pablo Prieto Santos (lprisan@tlu.ee) or Maria Jesus Rodriguez Triana (mjrt@tlu.ee).
A 3-page submission to the Doctoral Consortium should:
Submissions will be accepted for presentation in the Doctoral Consortium on the basis of their originality, significance, correctness, and clarity.
Applicants to the Doctoral Consortium should have progressed to the point where a clear plan of investigation has been laid out.
Accepted papers will be published in the ICALT2020 conference proceedings.
Patricia A. Jaques Maillard, UNISINOS, Brazil
Maria Jesús Rodríguez-Triana, Tallinn University, Estonia
Luis P. Prieto, Tallinn University, Estonia
Silvana Aciar, UNSJ, Argentina
Juan Ignacio Asensio-Pérez, Universidad de Valladolid, Spain
Anarosa Brandao, ICMC/USP, Brazil
Debora Barbosa, Feevale, Brazil
Jorge Barbosa, UNISINOS, Brazil
Leonidas Brandao, ICMC/USP, Brazil
Irene A. Chounta, Tartu University, Estonia
Yannis Dimitriadis, Universidad de Valladolid, Spain
Isabela Gasparini, UDESC, Brazil
Denis Gillet, EPFL, Switzerland
Rita Kuo, New Mexico Tech, USA
Tobias Ley, Tallinn University, Estonia
Andreas Lignau, Ruhr West University of Applied Sciences, Germany
Evandro Miletto, IFRS, Brazil
Magalie Ochs, LSIS, France
Margus Pedaste, Tartu University, Estonia
Bernardo Pereira Nunes, The Australian National University, Australia
Sandro Rigo, UNISINOS, Brazil
Patricia Schank, Digital Promise, USA
Kshitij Sharma, NTNU, Norway
Sean Siqueira, UNIRIO, Brazil
Kaoru Sumi, Future University Hakodate, Japan