Nordplus Workshop
Culturally Diverse Approaches to Learning Mathematics and Computational Thinking
in cooperation with
the International Doctoral Consortium on Informatics and Informatics Engineering Education Research

December 2–6, 2019, Druskininkai, Lithuania

International annual event, organized by Vilnius University
Institute of Data Science and Digital Technologies and Institute of Educational Sciences
in cooperation with Lithuanian Computer Society

The aims

Each PhD Student, coming to Doctoral Consortium, should prepare a Poster (recommended A1 format, could be printed, drawn, handwritten, as collage and etc.) and submit a brief bio including information about your studies, and publications if any, and an Extended Abstract of five A4 pages research description covering central aspects of his/her PhD work. The key points include:

  1. Your situation, i.e., the university doctoral program context of your work.
  2. A clear formulation of the research question(s).
  3. A very short background/literature review of key works that frames your research.
  4. An identification of the significant problems in the field of the research.
  5. Research objectives/goals.
  6. A sketch of an applied research methodology (methods of data collection and analysis).
  7. The results to date and their validity.
  8. Current and expected contributions.

Please download a template to prepare your Extended Abstract.

The prepared summary will be made available for other participants of the Doctoral Consortium to allow feedback and questions on the research. Since the goals of the DC include building the community, participants will be expected to read all of the Extended Abstracts of your colleagues prior to the beginning of the consortium with a goal of preparing careful and thoughtful critique.

Applicants should send the research proposal by email to Gabrielė Stupurienė (gabriele.stupuriene@mif.vu.lt) by November 15th, 2019. When submitting the applications, please put "VU-DC-2019-<Last Name>" in the Subject line.

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Vilnius University Institute of Data Science and Digital Technologies, Education Systems Group
Updated: 2019-11-12