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Dear colleagues,
We have the pleasure to invite you to contribute to the 4th
International Workshop on Education through Advanced Software
Engineering and Artificial Intelligence. It will be co-located with
ESEC/FSE ‘22 in Singapore.
Please find hereby the call for papers. 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,
EASEAI organizers
4th International Workshop on Education through Advanced Software
Engineering and Artificial Intelligence (EASEAI)
Hybrid event, Co-located with ESEC/FSE '22
Monday 14 - Friday 18 November 2022 Singapore
Website:https://easeai.github.io <https://easeai.github.io>
Important Dates
Paper submission: June 27th, 2022 (AoE)
Notification: July 29th, 2022 (AoE)
Camera-ready: September 9th, 2022 (AoE)
Submissions will be handled via https://easeai2022.hotcrp.com/
<https://easeai2022.hotcrp.com/>
Description
In the past few years, the world has seen a tremendous digital
transformation in all of its areas. In consequence, the general public
needs to be able to acquire an ever-increasing amount of digital
literacy and at least some level of proficiency with modern digital tools.
While modern software engineering relies heavily on Computer Assisted
Software Engineering (CASE) tools and development methodologies (to
improve productivity, quality, and efficiency of development teams),
those tools remain targeted towards experienced practitioners and
computer science remains taught in a very classical way.
In the same time, the rise of artificial intelligence allows more and
more easily to provide automated support, automate the processing and
review of documents such as dissertations and other kinds of exercises,
or to predict the needs of students.
This context seems to be a perfect opportunity to foster interesting
discussions in a workshop that gathers people from many different
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.
Topics of interest
Topics include, but are not limited to:
Tools and techniques
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Advances in automated grading of assignments.
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Advances in automated feedback and recommendations to provide
support to students.
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Visualization of technical and/or scientific information in various
fields (chemistry, software engineering, physics, history,
sociology, etc.).
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Efforts related to the improvement of usability of advanced tools
for non experienced users.
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Efforts related to inclusion of users with disabilities in the
learning environment.
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Dropout prediction in a learning environment using machine learning.
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Methods with a focus on explainability and interpretability (either
to students or teachers) are particularly welcome.
Methodologies
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New and unexpected usage of established software engineering
practices in the education environment.
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Integration of agile methods principles in the education environment.
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Integration of software quality standards and methods dedicated to
continuous improvement in the education environment.
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Application to serious game and gamification in the context of
education.
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Team work or individual work in online settings or not.
Evaluations and Lessons Learned
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Feedback on case studies using cutting edge techniques, methods, and
tools applied to the education environment.
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Improvement of computational thinking skills and digital literacy
through software engineering.
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Improvement of critical thinking and research skills of students.
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Integration of software engineering and artificial intelligence
research into teaching and training.
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Introduction to artificial intelligence and machine learning
principles for younger audiences.
Types of Submissions
We invite original papers in the conference format (ACM sigconf, double
column) 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 workshops proceedings.
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.
Workshop Format
The workshop will be a hybrid organization. Presenters will be invited
to submit a video of their work that will be available to attendees
before the workshop begins. The workshop will take place on one day and
include 3 or 4 presentation sessions. Each accepted paper will have 10
minutes for presentation. At the end of each presentation session, there
will be a time for discussion (5 to 10 minutes per accepted paper).
Based on its success during the last editions, discussants will be
assigned to accepted papers to foster and trigger discussions.
Review Process
The workshop will follow a single-blind peer review process. Each
contribution will be reviewed by at least three members of the program
committee. Acceptance will be jointly decided with the reviewers, based
on the reviews and discussions.
As previously published papers have been already reviewed and accepted,
they will not be reviewed again for technical content. If needed, the
presentation's propositions will be prioritized, based on the content
and structure of the sessions.
Organizing Committee
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Andreea Vescan - Babes-Bolyai University, Romania
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Camelia Serban- Babes-Bolyai University, Romania
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Julie Henry - University of Namur, Belgium
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Upsorn Praphamontripong - University of Virginia, USA
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Cheffe de projet STEAM
Doctorante en didactique de l'informatique, Faculté d'Informatique
Université de Namur
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