Doctoral Consortium

The ICALT2019 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 to the PhD students the opportunity to present, discuss, and receive feedback on their research in the context of a well-known and established interdisciplinary and international conference outside of their usual university environment. Prominent professors and researchers in the field of Advanced Learning Technologies will reflect to the selected papers and get engaged in a scientific dialogue with the PhD students.

The Doctoral Consortium 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 10 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 the respective area.

After the notification of acceptance/rejection, each PhD student with an accepted paper will be assigned to a small group consisting of a few PhD students and one expert in their area. Each group will start to communicate and exchange their papers so that all members of the group are familiar with the papers of each group member. During the second session, each small group will meet individually where each student can discuss his/her work with the expert and with other PhD students.

Topics of Interest:

Topics of interest include, but are not limited to, the following:

• Digital Systems for Open Access to Education and Learning
• Adaptive and Personalized Technology-Enhanced Learning
• Wireless, Mobile, Pervasive and Ubiquitous Technologies for Learning
• Digital Game and Intelligent Toy Enhanced Learning
• Computer Supported Collaborative Learning
• Technology-Enhanced Assessment in Formal and Informal Education
• Big Data in Education and Learning Analytics
• Technology-Enhanced Science, Technology, Engineering and Math Education
• Technology-Enhanced Language Learning
• Motivational and Affective Aspects in Technology-Enhanced Learning
• Technology-Enabled Learning of Thinking Skills
• Recommender and Decision Support Systems for Learning
• Technology-Supported Education for People with Disabilities
• Smart Learning Environments
• Maker Spaces and 3-D Printing Based Innovations
• Wearable Technologies in Education
• Social Media Influence in Academia
• Virtual Worlds in Education and Training

Submission and Publication of Papers

Authors are required to follow ICALT 2019 Important Dates and adhere to the ICALT 2019 author guidelines when preparing their papers and posters, and submit their papers through the ICALT 2019 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 Patricia Jaques (pjaques@unisinos.br) or Ramkumar Rajendran (ramkumar.rajendran@iitb.ac.in).

The 3-page submission of DC Consortium papers should:

• Provide the title of the PhD Research, the name of the PhD Student and the PhD Advisor and the Affiliated Organization
• Provide a motivation for the research, explaining what the problem in the respective field is and why it is a problem that addresses a significant research challenge in the field,
• Clearly formulate the research question(s),
• Sketch the proposed solution and the research methodology applied,
• Describe the expected contributions of the applicant to the research area, and describes how the research is innovative, novel or extends existing approaches to a problem.
• Appropriately acknowledge the possible contribution of non-student advisors or collaborators
• Submissions will be judged on 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 ICALT2019 conference proceedings.

Program Committee

• Silvana Aciar - UNSJ, Argentina
• Anarosa Brandão - ICMC/USP, Brazil
• Debora Barbosa - Feevale, Brazil
• Jorge Barbosa - UNISINOS, Brazil
• Leonidas Brandao - ICMC/USP, Brazil
• Isabela Gasparini - UDESC, Brazil
• Wayne Holmes - The Open University, UK
• Seiji Isotani - USP, Brazil
• Noboru Matsuda - North Carolina State University, USA
• Evandro Miletto - IFRS, Brazil
• Riichiro Mizoguchi - JAIST, Japan
• Magalie Ochs - LSIS, France
• Roberto Pereira – UFPR, Brazil
• Bernardo Pereira Nunes - PUC-RIO, Brazil
• Sandro Rigo - UNISINOS, Brazil
• Sean Siqueira - UNIRIO, Brazil
• Kaoru Sumi - Future University Hakodate, Japan