2nd International Workshop on Education through Advanced Software
Engineering and Artificial Intelligence (EASEAI)
Co-located with ESEC/FSE '20 in Sacramento, California, United States.
On November 9, 2020.
Website: https://easeai.github.io
** DESCRIPTION **
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
they can be combined. Specifically, this workshop brings together
researchers, teachers, and practitioners who use advanced software
engineering tools and artificial intelligence techniques in the
education field and through a transgenerational and transdisciplinary
range of students to discuss the current state of the art and practices,
and establish new future directions.
** TOPICS OF INTEREST **
Topics include, but are not limited to:
- New and unexpected usage of established software engineering practices
in education environments.
- Integration of agile methods principles in education environments.
- Integration of software quality standards and methods dedicated to
continuous improvement in education environments.
- Application to serious game and gamification in the context of education.
- Advances in automated grading of assignments.
- Advances in automated feedback and recommendations to provide support
to students.
- Visualization of technical and/or scientific information in various
fields (chemistry, software engineering, physics, history, sociology,
etc.).
- Efforts related to the improvement of the usability of advanced tools
for non-experienced users.
- Dropout prediction in learning environments using machine learning.
- Feedback on case studies using cutting edge techniques, methods, and
tools applied to educational environments.
- Improvement of computational thinking skills and digital literacy
through software engineering.
- Integration of software engineering and artificial intelligence
research into teaching and training.
- Introduction to artificial intelligence and machine learning
principles for younger audiences.
** TYPES OF SUBMISSIONS **
We invite original papers in the conference format (two columns ACM
sigconf publication format) describing positions and new ideas, as well
as new results and reporting on innovative approaches (up to 6 pages).
All accepted papers will be published in the ACM digital library,
together with the other ESEC/FSE 2020 workshops proceedings. The review
process is single-blind. Each contribution will be reviewed by at least
three members of the program 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 presentation
propositions will be prioritized, based on the content and structure of
the sessions.
** IMPORTANT DATES **
Submission of full papers: July 8th, 2020
Notification of acceptance: August 26th, 2020
Camera-ready: September 18th, 2020
Workshop date: November 9th, 2020
Submission: see https://easeai.github.io/#call
** WORKSHOP CHAIRS **
Benoît Vanderose, PReCISE, University of Namur (Belgium)
Julie Henry, PReCISE, University of Namur (Belgium)
Benoît Frénay, PReCISE, University of Namur (Belgium)
Xavier Devroey, Delft University of Technology (Netherlands)
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