Connectionists: 1st Int. W. on Education through Advanced Software Engineering and Artificial Intelligence

[Benoît Frénay]

Dear colleagues,


We have the pleasure to invite you to contribute to the 1st 
International Workshop on EducationthroughAdvanced Software 
Engineeringand Artificial Intelligence.  It will be co-located with 
ESEC/FSE '19at Tallin, Estonia on Monday 26 August 2019.


This workshop will be a perfect opportunity to foster interesting 
discussions across complementary communities(software engineering, 
education science, artificial intelligence, machine learning, natural 
language processing, etc.), through the common lens of how advanced 
software tools and techniques

  *

    might be used as a catalyst for a better way to teach various types
    of students;

  *

    might require innovative teaching techniques to make the less
    specialized public aware of their importance and peculiarities.


We strongly encourage contributions focusing on out-of-the-box tools, 
ideas, methodologies, experimentations, etc. pertaining to education 
through and to digital technologies.


We would also be grateful if you could help us advertise the workshop by 
forwarding this CFP to your research collaborators.


Best regards,


Benoît Vanderose - UNamur / PReCISE - benoit.vanderose at unamur.be 
<mailto:benoit.vanderose at unamur.be>

Benoît Frénay - UNamur / PReCISE - benoit.frenay at unamur.be 
<mailto:benoit.frenay at unamur.be>

Julie Henry - UNamur / PReCISE - julie.henry at unamur.be 
<mailto:julie.henry at unamur.be>

Xavier Devroey - TU Delft / SERG - X.D.M.Devroey at tudelft.nl 
<mailto:X.D.M.Devroey at tudelft.nl>


    Call for Papers

In the past years, with the development and widespread of digital 
technologies, everyday life has been profoundly transformed. The general 
public, as well as specialized audiences, have to face an 
ever-increasing amount of knowledge and learn new abilities. The EASEAI 
workshop addresses that challenge by looking at software engineering, 
education, and artificial intelligence research fields to explore how 
these fields can cross-fertilize and benefit from each other. 
Specifically, this workshop brings together researchers, teachers, and 
practitioners who use advanced software engineering tools (such as 
software development tools and methods, productivity tools, software 
inspection and analysis tools, automated testing techniques, etc.) and 
artificial intelligence techniques in the education field as well as 
researchers and teachers in education science who tackle how to improve 
awareness regarding digital technologies through a transgenerational and 
transdisciplinary range of students.


    Topics of Interest

Topics include, but are not limited to:

      o

        New and unexpected usage of established software engineering
        practices in education environments.

      o

        Integration of agile methods principles in education environments.

      o

        Integration of software quality standards and methods dedicated
        to continuous improvement in education environments.

      o

        Application to serious game and gamification in the context of
        education.

      o

        Advances in automated grading of assignments.

      o

        Advances in automated feedback and recommendations to provide
        support to students.

      o

        Visualization of technical and/or scientific information in
        various fields (chemistry, software engineering, physics,
        history, sociology, etc.).

      o

        Efforts related to the improvement of usability of advanced
        tools for non experienced users.

      o

        Dropout prediction in learning environments using machine learning.

      o

        Feedback on case studies using cutting edge techniques, methods,
        and tools applied to educational environments.

      o

        Improvement of computational thinking skills and digital
        literacy through software engineering.

      o

        Integration of software engineering and artificial intelligence
        research into teaching and training.

      o

        Introduction to artificial intelligence and machine learning
        principles for younger audiences.


    Types of Submissions

We invite original papers in the conference format (two columnsACM 
sigconf publication format 
<https://www.acm.org/publications/proceedings-template>) describing 
positions and new ideas (short papers up to 4 pages) as well as new 
results and reporting on innovative approaches (long papers up to 8 
pages). All accepted papers will be published in the ACM digital 
library, together with the other ESEC/FSE 2019 workshops proceedings. 
The review process is single-blind. Each contribution will be reviewed 
by at least three members of the programme committee.

The workshop also welcomes presentations of previously peer-reviewed 
published papers. We will invite authors to submit a one-page extended 
abstract that will not be included in the proceedings. As previously 
published papers have been already reviewed and accepted, they will not 
be reviewed again for technical content. If needed, the presentations 
propositions will be prioritized, based on the content and structure of 
the sessions.


    Important Dates

  *

    Submission of full papers: June 7th, 2019

  *

    Notification of acceptance: June 24th, 2019

  *

    Camera Ready: July 1st, 2019

  *

    Workshop date: August 26th, 2019


    Submission Site

Submissions will be handled via 
EasyChair:https://easychair.org/conferences/?conf=easeai2019

-- 

Benoît FRÉNAY
Associate Professor
Faculty of Computer Science

T. +32 (0)81 724 976 (secr. 725 252)
F. +32 (0)81 724 967
benoit.frenay at unamur.be <mailto:benoit.frenay at unamur.be>

Université de Namur ASBL
Rue de Bruxelles 61 - 5000 Namur

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