Connectionists: Fwd: [staff.info] EASEAI 2022 - Call for papers

Wed Jun 1 06:18:38 EDT 2022

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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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