{"id":272,"date":"2025-01-30T08:59:49","date_gmt":"2025-01-30T08:59:49","guid":{"rendered":"https:\/\/aied2025.itd.cnr.it\/?page_id=272"},"modified":"2025-04-30T08:30:43","modified_gmt":"2025-04-30T08:30:43","slug":"bluesky","status":"publish","type":"page","link":"https:\/\/aied2025.itd.cnr.it\/index.php\/maintrack\/bluesky\/","title":{"rendered":"BlueSky"},"content":{"rendered":"\n
\n\n\n\n

Call for BlueSky Papers <\/strong><\/h1>\n\n\n\n
\n\n\n\n

Introduction <\/strong><\/h2>\n\n\n\n

The AIED Society organizes the AIED conference and is aimed at  advancing science and engineering of intelligent human-technology  ecosystems that support learning<\/strong>. The AIED 2025 conference will be  the 26th of a longstanding series of international conferences, known for  high quality and innovative research on AI-assisted systems and cognitive  science approaches for educational computing applications. AIED is  ranked A in CORE <\/strong>(top 16% of all 783 ranked venues), the well-known  ranking of computer science conferences.  <\/p>\n\n\n\n

Given the success of this track during the last two years, AIED 2025 will  include the BlueSky special track<\/strong>, which invites papers from  researchers, practitioners, and industry partners to reflect upon the  progress of AIED <\/strong>so far and envision what is to come <\/strong>in the upcoming  future. As technology continues to redefine our world, we must ask: how  will AI innovations transform the way we learn? <\/strong>Imagine a future where  AI seamlessly supports lifelong learning, providing personalized  experiences like never before. The COVID pandemic may have been a  disruption, but it also acted as a catalyst, speeding up the integration of  artificial intelligence in education and altering our perceptions of tech driven learning. So, what’s next for AI in education? <\/strong>Picture AIED  evolving beyond augmenting conventional teaching methods, embracing  a new era of learning that is dynamic, adaptive, and truly transformative.  Whether it’s customizing content to suit individual needs or creating <\/p>\n\n\n\n

immersive learning environments, AI’s potential in education is boundless.  What is coming next for AI in education is going to be an adventure! <\/p>\n\n\n\n

These are questions meant to begin and not limit the discussion <\/strong>in the BlueSky papers. <\/p>\n\n\n\n

Important Dates <\/strong><\/h2>\n\n\n\n
Phase<\/th>Date<\/th><\/tr><\/thead>
Abstracts due<\/td>March 5, 2025 (mandatory)<\/td><\/tr>
Papers due<\/td>March 12, 2025<\/td><\/tr>
Notification of acceptance to authors<\/td>April 21, 2025<\/td><\/tr>
Camera-ready paper due<\/td>May 2, 2025<\/s> May 7, 2025\u00a0<\/td><\/tr>
Conference<\/td>July 22 – 26, 2025<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Note: the submission deadlines are at 11:59 pm AoE (Anywhere on Earth)  time. <\/p>\n\n\n\n

Submission Instructions <\/strong><\/h2>\n\n\n\n

System<\/strong>. Please note that the submissions must be written in English. Papers  should be submitted electronically, as a PDF file, through the AIED 2025  EasyChair conference system  (https:\/\/easychair.org\/conferences\/?conf=aied2025), selecting the \u201cBlue Sky  Papers\u201d track. <\/p>\n\n\n\n

Types<\/strong>. We encourage two types of submissions (reviewers will comment  on whether the size is appropriate for each contribution):  <\/p>\n\n\n\n

– Full papers (between 9 and 14 pages including references; for a long  oral presentation).  <\/p>\n\n\n\n

– Short papers (between 6 and 8 pages including references; for a short  oral presentation).  <\/p>\n\n\n\n

Format<\/strong>. Submissions must be in Springer format. Papers that do not use the  required format may be rejected without review. Authors should consult  Springer\u2019s authors\u2019 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. Submissions  must follow Springer policies on publication (including policies on the use of  AI in the authoring process): https:\/\/tinyurl.com\/3rk3zj3v.  <\/p>\n\n\n\n

Expectations<\/strong>. BlueSky paper submissions do not necessarily require new  empirical results, unlike more traditional AIED submissions. Despite BlueSky  submissions\u2019 focus on novel, exploratory solutions for the future, there is still  the need to support their ideas with sufficient evidence. When BlueSky  submissions focus on novel perspectives on existing problems or a new  research vision, as examples, they might not require empirical results.  However, such submissions are still expected to defend their positions via  robust scientific argument rooted in the relevant literature. A thorough  exploration of implications, with detailed discussions, are considered  important as well.<\/p>\n\n\n\n

Diversity, Equity and Inclusion <\/strong><\/h2>\n\n\n\n

The AIED Society values diversity, equity, and inclusion (and related  principles under this broad umbrella) as essential and fundamental values  for the AIED community to uphold. Thus, in AIED 2025, we incentivize  authors to carefully consider diversity, equity, and inclusion when reporting  on your work.  <\/p>\n\n\n\n

When preparing your paper, please consider the following:  <\/p>\n\n\n\n

\u25a0 Authors should write with care toward inclusive language. This  includes understanding identify-first vs. person-first language,  gender neutral language, appropriate demographic categories and  terminology, and avoiding the conflation of distinct dimensions such  as race and ethnicity, or sex and gender.  <\/p>\n\n\n\n

\u25a0 Authors are encouraged to consider how their theoretical  frameworks and findings are related to diversity, equity, and  inclusion. For example, authors may discuss how these issues  influence key assumptions, hypotheses, and methods. Likewise,  authors might address implications or appropriate interpretations of  their findings with respect to diversity, inclusion and equity.  <\/p>\n\n\n\n

Please consider the following criteria when reporting samples:  <\/p>\n\n\n\n

\u25a0 Authors should be clear and specific about the composition of  human-sourced data. Who were the participants? What was the  distribution of gender, race, ethnicity, or related variables? If  corpus data or training data were sourced from humans, a similar  description could be offered.  <\/p>\n\n\n\n

\u25a0 Skewed or non-representative samples would not necessarily  trigger a “reject” decision, but authors should acknowledge the  demographic imbalances and discuss the potential impact on  data, results, or conclusions. A more compelling paper would <\/p>\n\n\n\n

describe barriers to inclusive and representative sampling and the  steps taken to generate an inclusive and representative sample  (this is basic science, but often overlooked for convenience).  <\/p>\n\n\n\n

\u25a0 Authors should demonstrate some awareness of how equity,  inclusion, accessibility issues impact their data, methods,  products, or findings. How are different demographic groups or  communities differentially connected to the work? People who are  developing educational technologies need to think about access  and use, for example. Corpus analyses need to address the  impact of skewed\/exclusive datasets and potential outcomes  (e.g., algorithmic bias). It is also important to use strategies to  control or reduce bias against populations of any kind (e.g.,  benefit or bring prejudice to a particular gender, race, or people  with different economic status) when collecting, using, or  aggregating data.  <\/p>\n\n\n\n

\u25a0 Authors are encouraged to discuss\/justify how demographic  variables are included in the analyses. If they are not included or  “covaried out” please justify. If they are included, what are the  assumptions? Are there “categorical effects”? Are the effects of  different demographic variables independent, interdependent, or  intersectional? What valid conclusions can be drawn? What  erroneous conclusions need to be avoided or tempered? <\/p>\n\n\n\n

Review Process <\/strong><\/h2>\n\n\n\n

Process<\/strong>. All submissions will be reviewed by three members of the program  committee or other ad-hoc reviewers, followed by a second round of review  conducted by a senior member of the program committee. Papers will be  reviewed for relevance to the track, quality of reflection, originality and  innovation, significance and potential for influence, multidisciplinarity and  societal impact considerations, clarity and coherence of presentation. It is <\/p>\n\n\n\n

important to note that the work presented should not have been published  previously or be under consideration in other conferences of journals. Any  paper caught in double submission will be rejected without review.  <\/p>\n\n\n\n

Anonymity<\/strong>. The process will be double-blind, i.e., both authors and  reviewers will remain anonymous, to meet rigorous academic standards of  publication. Hence, authors should eliminate all information that could lead  to their identification, cite their own prior work (if needed) in third person, and  remove acknowledgments and references to funding sources.  <\/p>\n\n\n\n

Ethics<\/strong>. Authors should demonstrate awareness of how ethical issues  (including but not limited to equity, inclusion, accessibility) impact the content  of their paper, also including if available data, methods, tools, approaches,  products, and findings. If tools such as ChatGPT are used to help in writing  papers, this should be acknowledged in one\u2019s paper. <\/p>\n\n\n\n

Registration and Participation <\/strong><\/h2>\n\n\n\n

Each accepted paper within the BlueSky track must be accompanied by a  unique author registration <\/strong>(i.e., one registration per paper), completed by  the early registration date cut-off. Please note that presenters of papers  accepted to the BlueSky track are expected to be on-site to give their  presentations and interact with the audience<\/strong>, to have the paper included  in the proceedings. An online streaming option will be set-up for remote  observers. <\/p>\n\n\n\n

Accepted papers in the BlueSky track will be published in the second  volume of the AIED 2025 proceedings <\/strong>included in Springer  Communications in Computer and Information Science (CCIS). <\/p>\n\n\n\n

<\/span>
\n

Track Chairs <\/strong><\/h2>\n\n\n\n

If you have any further questions, please, contact the BlueSky Chairs:  <\/p>\n\n\n\n

    \n
  • Prof. Bruce M. McLaren, Carnegie Mellon University, US (bmclaren  at cs.cmu.edu) <\/li>\n\n\n\n
  • Dr Stamos Katsigiannis, Durham University, UK  (stamos.katsigiannis at durham.ac.uk)  <\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n

    <\/p>\n\n\n\n

    <\/span>
    \n

    Program Committee <\/strong><\/p>\n\n\n\n

      \n
    • Prof. Peter Hastings, DePaul University, U.S.A. <\/li>\n\n\n\n
    • Prof. Ryan Baker, University of Pennsylvania, U.S.A. <\/li>\n\n\n\n
    • Prof. Olga Viberg, KTH Royal Institute of Technology, Sweden<\/li>\n\n\n\n
    • Prof. Benedict du Boulay, University of Sussex, UK <\/li>\n\n\n\n
    • Dr. Pablo Arnau Gonz\u00e1lez, University of Valencia, Spain<\/li>\n\n\n\n
    • Dr. Shrikant Malviya, Durham University, UK <\/li>\n\n\n\n
    • Dr. Ana Serrano Mamolar, University of Burgos, Spain <\/li>\n\n\n\n
    • Dr. Donald Sturgeon, Durham University, UK<\/li>\n\n\n\n
    • Prof. Kalina Yacef, University of Sydney, Australia<\/li>\n\n\n\n
    • Dr. Mahboobeh Mehrvarz, Carnegie Mellon University, U.S.A.<\/li>\n\n\n\n
    • Prof. Seyedahmad (Ahmad) Rahimi, University of Florida, U.S.A.<\/li>\n\n\n\n
    • Prof. Ig Bittencourt Universidade Federal de Alagoas, Brasil<\/li>\n\n\n\n
    • Prof. Rafael Ferreira Universidade Federal Rural de Pernambuco, Brasil<\/li>\n\n\n\n
    • Prof. Jelena Jovanovic University of Belgrade, Serbia<\/li>\n\n\n\n
    • Prof. John Stamper, Carnegie Mellon University, U.S.A.<\/li>\n\n\n\n
    • Prof. Seiji Isotani, University of Sao Paulo, Brazil<\/li>\n\n\n\n
    • Prof. Steven Bradley, Durham University, UK<\/li>\n\n\n\n
    • Prof. Paulo Carvalho, Carnegie Mellon University, U.S.A.<\/li>\n\n\n\n
    • Dr Sun\u010dica Had\u017eidedi\u0107, Durham University, UK<\/li>\n\n\n\n
    • Prof. Ivon Arroyo, University of Massachusetts Amherst, U.S.A.<\/li>\n\n\n\n
    • Prof. Vincent Aleven, Carnegie Mellon University, U.S.A.<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n

      <\/p>\n","protected":false},"excerpt":{"rendered":"

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