Call for Practitioner Track Papers

Goals

The AIED 2022 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,
and stimulate AIEd practitioners’ participation by voting on what papers they would want to hear more about.

Target group and content

Persons

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 creative implementations of AI technologies, 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 do not necessarily seek traditional academic research papers. We also 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.

Submission formats

For the practitioner track, we accept:

Regular papers (6 pages, including references) for participating in a thematic panel
Short papers (4 pages, including references) for a poster presentation

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 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.

Formatting Guidelines

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. 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

https://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0.

Please submit your paper using EasyChair: https://easychair.org/cfp/AIED2022.

Types of presentations and review

To provide enough room and opportunities to collaboratively reflect upon practical experiences and ideas with AIEd we offer two types of presentations during the conference:

Discussion spaces: in thematic panels, 3-4 contributions with a similar tool or educational goal are presented together (regular papers accepted).
Poster presentations: give you the opportunity to showcase your practical implementation of AIEd (short papers accepted).

Review process and public vote

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”, “creativity and innovation” and “reflection of the implementation”.

A special component of the practitioner track is a public vote. We intend to publish excerpts of selected contributions on a website and invite the public to vote for their preferred contributions. These audience-elected contributions will be granted additional presentation time. With the public vote we seek to initiate a discussion on successful implementations of AI-enhanced technology for learning in advance of the conference and make AI-enhanced learning graspable for the general public.

Important Dates

Please check the dates page.