Call for Practitioner Track
The AIED 2023 Practitioner Track seeks to...
- stimulate the involvement of teachers, educators as well as industries and product developers,
- encourage the participation of policymakers,
- promote cooperations between these participants,
- focus on creative ideas and innovative practices in AIED,
- propagate descriptions and reflections of AIED practical implementations,
- disseminate evidence to facilitate effective practice,
- contribute to discussion and common understanding of AIED in practice,
- stimulate AIED practitioners' participation by voting on what papers they would want to hear more about.
- and of course we welcome submissions related to the AIED2023 theme “AI in Education for Sustainable Society”
Target group and content
The call is open for contributions from a range of different educational contexts and professions to reflect on the manifold implementations and perspectives of AI in education.
We especially invite contributions from:
- Teachers, educators and learners from all educational levels and contexts (e.g. elementary school, high school, higher education, vocational training, lifelong learning)
- Researchers, instructional technologists, analysts, learning designers and other staff from education institutions
- Developers, designers, analysts, and other representatives from commercial and industry entities
- Policy makers and department leads from non-profit organizations and government bodies.
Content and technologies
To meet the call’s goals, we seek submissions that present implementations of AI technologies and reflect on practical experiences with AI-supported education or bring together different stakeholders in this field.
Possible technologies and tools should be based on the practical use of AI technologies in education. Possible lines of research and applications can be found in the AIED general call for papers.
We explicitly welcome descriptions and reflections of practical implementations, qualitative research (case studies, ethnographies), theoretical contributions and descriptions of personal experiences as a practitioner in the field of AIEd. That also means: we do not necessarily seek traditional academic research papers.
For the practitioner track, we accept:
Regular papers (6-8 pages, including references) for participating in a thematic panel.
Papers need to be written in English and include the following details. (Please use the main headings 1-3 as a structure for your paper and use sub-headings of your own choice if necessary.)
- Description of the AIEd implementation or its intended use
- please specify the tool or technology,
- the educational goal that was addressed (e.g. inclusive learning, individualisation of learning…),
- and the educational level (e.g. secondary school).
- Provide a short description of the participating learners or educational institutions,
- and the course, programme or other context of the implementation that is necessary to understand your project.
- Reflection of the challenges and opportunities associated with the implementation
- Describe the process of the implementation and how you evaluate the implementation
- Name and reflect on opportunities or possible benefits
- Name and reflect on challenges or things you would like to improve
- Description of future steps
- describe the next steps you are planning or that are necessary to gain further insight
- describe what you would need to improve your implementation (e.g. a business partner, more participants, an experiment to validate your claims)
It should be noted that sales pitches are not in the spirit of this track and will be dismissed during the review process.
Regular and short papers will be published by Springer Lecture Notes in Artificial Intelligence (LNAI), a subseries of Lectures Notes in Computer Science (LNCS). Submissions must be in Springer format and have to count at least 6 pages. Papers that do not use the required format may be rejected without review. Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made. For further details about the format, please see:
Please submit your paper using easychair: https://easychair.org/conferences/?conf=aied23
Types of presentations and review
To provide enough room and opportunities to collaboratively reflect upon practical experiences and ideas with AIEd, we offer the following type of presentation during the conference:
- Discussion spaces: in thematic panels, with contributions based on a similar tool or educational goal are presented together.
All papers submitted to the practitioner track will be double-blind peer-reviewed according to a set of criteria that focus on practice in teaching and learning with AI. Possible criteria to evaluate the papers are “practical relevance”, “clarity of presentation”, “reflection of the implementation from a practical perspective and “creativity and innovation”.
A special aim of the practitioner track is the open-minded discussion with a practical perspective and constructive interaction among the participants - researchers, teachers, and developers - to learn from the session and each other to find more practical use of AI in the different fields of education. Therefore we intend to send the camera-ready versions two weeks before the conference to the presenters, in order to prepare their comments and questions.
March 1, 2023March 5, 2023
*The deadline has been extended.
- Peer-review process: March 2023
- Decisions: April 3, 2023
- Camera-ready versions: May 8, 2023
- Sending the camera-ready versions to practitioner track presenters: 19 June 2023
Practitioners Track Chairs
- Susan Beudt, GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE, GERMANY, firstname.lastname@example.org
- Berit Blanc, GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE, DFKI, GERMANY, email@example.com
- Diego Dermeval Medeiros da Cunha Matos, FEDERAL UNIVERSITY OF ALAGOAS, BRAZIL, firstname.lastname@example.org
- Hajime Shirouzu, NATIONAL INSTITUTION OF EDUCATIONAL POLICY RESEARCH, JAPAN, email@example.com
- Insa Reichow, GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE, DFKI, GERMANY, firstname.lastname@example.org
- Jeanine Antoinette DeFalco, TRANSFR, US, email@example.com