St Pete Beach, Florida, USA, May 24-27, 2027
Abstract submission deadline: January 22, 2027
Paper submission deadline: February 1, 2027
Notifications: March 9, 2027
Camera-ready version due: April 5, 2027
What is the GOAL of the track?
The goal of the track is to foster interaction between the AI and education communities and advance research and practice in the use, design, evaluation, and responsible deployment of AI in education. The track will highlight innovative AI methods and applications while addressing how education must evolve to prepare students, educators, and the workforce for an AI-enabled world..
Who might be interested?
This special track is devoted to AI workforce development and supportive education with the aim of presenting new and important contributions in a variety ofResearchers and practitioners in artificial intelligence, computer science, educational technology, learning sciences, instructional design, human-computer interaction, natural language processing, machine learning, data science, educational data mining, and related fields are invited to participate. The track is also intended for K–12 and higher-education educators, instructional designers, curriculum developers, administrators, industry practitioners, and students interested in AI-enabled teaching, learning, assessment, and workforce preparation. areas. Papers and contributions are encouraged for any work related to AI workforce development and supportive education.
What kind of studies will be of interest?
Papers and contributions are encouraged for research, applied research, case studies, experience reports, emerging research, position papers, and vision papers relating to artificial intelligence and education. Of particular interest are studies that present novel AI methods, empirical evaluations, theoretical contributions, educational applications, authentic implementations, prototypes, preliminary results, or forward-looking perspectives that meaningfully contribute to the intersection of AI and education.
Topics of interest may include (but are in no way limited to):
• Artificial intelligence algorithms and applications in education
• Generative AI and large language models (LLMs) for teaching and learning
• Multimodal AI, retrieval-augmented generation (RAG), and agentic AI in education
• AI tutors, teaching assistants, intelligent tutoring and mentoring systems
• Adaptive and personalized learning
• AI-supported instructional design, content generation, feedback, and assessment
• Automated grading, evaluation, and learning analytics
• AI literacy and teaching AI at K–12, undergraduate, and graduate levels
• AI education for non-computing disciplines and the AI-enabled workforce
• Human-AI collaboration and interaction in educational environments
• Knowledge representation, knowledge graphs, NLP, conversational AI, and recommender systems for education
• Educational robotics, embodied AI, virtual/augmented reality, and intelligent learning environments
• Assessment and academic integrity in the age of generative AI
• AI-resistant and AI-enhanced assessment
• Explainable, interpretable, trustworthy, responsible, and ethical AI in education
• Bias, fairness, privacy, security, accessibility, and equity in educational AI
• Faculty development, student experiences, and institutional adoption of AI
• AI for educational administration, advising, mentoring, and student services
• Novel datasets, benchmarks, evaluation methodologies, and emerging AI architectures for education
• Future directions and societal implications of AI in education
Submission Guidelines
Submitted papers must be original, and not submitted concurrently to a journal or another conference. Double-blind reviewing will be provided, so submitted papers must use fake author names and affiliations. Papers must follow the FLAIRS template guidelines (https://www.flairs-40.info/call-for-papers) and be submitted as a PDF through the EasyChair conference system. (Do NOT use a fake name for your EasyChair login; your EasyChair account information is hidden from reviewers.)
FLAIRS will not accept any paper which, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Authors are also required not to submit their papers elsewhere during FLAIRS's review period. These restrictions apply only to journals and conferences, not to workshops and similar specialized presentations with a limited audience and without archival proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission.
Conference Proceedings
Papers will be refereed and all accepted papers will appear in the conference proceedings.
Program committee:
Track Co-Chairs:
William Eberle Tennessee Tech University
Ingrid Russell University of Hartford
Proposed Program Committee Members:
Mia Champion University of Washington Bothell (WA)
Vanessa D'Amario Nova Southeastern University (FL)
Yue Deng Hong Kong University of Science and Technology (HKUST)
Srishti Gupta University at Albany, SUNY (NY)
Brent Harrison University of Kentucky (KY)
Casey Kennington Boise State University (ID)
Roderick Lee Penn State University (PA)
Edgar Lobaton North Carolina State University (NC)
Oyebade Oyerinde Clark Atlanta University (GA)
Chunhua Tsai University of Nebraska at Omaha (NE)
Further Information
Questions regarding the Special Track on Artificial Intelligence and Education should be addressed to the Track Co-Chairs:
William Eberle (weberle@tntech.edu)
Ingrid Russell (irussell@hartford.edu)
Questions regarding Special Tracks should be addressed to Special Track Coordinator AJ Scarlato at ascarlato@stetson.edu .
Invited Speakers
To be announced
Conference Websites
Paper submission site: https://www.flairs-40.info/call-for-papers
FLAIRS-40 conference web page: https://www.flairs-40.info/
Florida AI Research Society (FLAIRS): https://www.flairs.com