Call for Submissions: IEEE FIE

Conference dates: 11 -14 October, 2026 | Paphos, Cyprus

Frontiers in Education Conference (FIE)

The Frontiers in Education (FIE) Conference is a premier international forum bringing together a global community to share ideas, challenge assumptions, and shape the future of teaching and learning. Since 1971, FIE has been co-sponsored by the IEEE Education Society, IEEE Computer Society, and ASEE ERM Division, and is recognized for its rigorous peer-review process, diverse program, and impact on the field.

The Call for Abstracts for FIE 2026 invites researchers, educators, and practitioners to contribute innovative work in engineering and computing education.

The 2026 conference theme is Engineering and Computing Education in the Large Language Model Era, reflecting FIE’s role in advancing timely, transformative conversations.

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Why Participate?

Share your work with international experts and peers, and gain valuable feedback

Opportunities

Present your emerging ideas and applications
Showcase your demos of innovative systems, tools, prototypes, and interactive experiences
Utilize your platform to share new advances, ideas, and solutions
Highlight your contributions
Contribute to event programming and technical content
Experience groundbreaking workshops, special sessions, panels, and student panels

Topics

Advanced placement courses and Pre-college preparations
AI and Machine Learning Tools to Enhance Student Learning
AI and Machine Learning Tools to Enhance Instruction
AI and Machine Learning Tools to Assess Student Outcomes
Assessment
Computing (Algorithms, AI, Machine Learning, Data Science, Cybersecurity, software engineering)
Curriculum and Course Development
Diversity and Broadening Participation
Informal Learning Environments
Pedagogical and Instructional Approaches
Teacher Professional Development
Industry involvement and sponsorship
Informal Learning Environments
Instructional Design
Mental health (anxiety, stress, depression, advising, coaching, well-being)
Nontraditional students
Distance learning (e.g., MOOCs, synchronous, asynchronous)
Instructional methods (e.g., project-based, collaborative learning, flipped classroom, active learning)
Personal and Professional Development
Program evaluation
Teaming and Teamwork
Workplace culture
Continuing Education

Submit Your Content

In addition to submitting your paper to IEEE FIE 2026, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE’s data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission. Thank you!