Call for Papers

AI-Enhanced Engineering Education (AI-EEE):
Design, Implementation, and Classroom Impact Symposium

Co-located with the 2026 8th Computing, Communications and IoT Applications Conference (ComComAp 2026)

Hybrid Event | December 14–17, 2026 | Paphos, Cyprus

Workshop Information

Conference Proceedings ComComAp 2026

Date December 14–17, 2026

Location Paphos, Cyprus

Format Hybrid Event

Technical Sponsorship IEEE

Website comcomap.net/2026

Visit Conference Website Submit Your Paper

Workshop Chairs

Nadra Guizani, University of Texas at Arlington, USA
Soumaya Gharsallaoui, University of Texas at Arlington, USA
Abeer Almughrabi, University of Texas at Arlington, USA
Ala Alfuqaha, Hamad Bin Khalifa University, Qatar
Safa Otoum, Zayed University, UAE
Junaid Qadir, Qatar University, Qatar

Scope

The AI-Enhanced Engineering Education: Design, Implementation, and Classroom Impact Workshop aims to bring together educators, researchers, and practitioners to explore how artificial intelligence can help reshape the teaching and learning of Engineering and Sciences curricula.

This Workshop focuses on both theoretical foundations and practical implementations of AI-driven approaches that enhance student learning, engagement, and outcomes in engineering disciplines.

We invite contributions that examine the design, deployment, and evaluation of AI-enabled educational tools, pedagogical strategies, and curricula. Submissions may include empirical studies, system implementations, case studies, or conceptual frameworks that demonstrate measurable impact, scalability, or innovation in engineering education.

This Workshop particularly encourages work that bridges the gap between cutting-edge AI technologies, including generative AI, intelligent tutoring systems, and learning analytics, and real-world classroom practices, with attention to ethical considerations, accessibility, and inclusivity.

Topics of Interest

Authors are welcome to submit original papers that have not been previously published and are not currently under review by another venue. Topics include, but are not limited to:

AI in Teaching and Learning

AI-enhanced pedagogical strategies in engineering education
Use of generative AI tools, including large language models, for teaching and learning
AI-supported problem-solving and project-based learning

Curriculum Design and Integration

Designing AI-integrated engineering curricula
Teaching AI concepts within non-AI engineering courses
Interdisciplinary approaches combining AI and engineering domains
Curriculum alignment with industry needs and AI competencies

Assessment and Evaluation

AI-assisted assessment and automated grading systems
Measuring learning outcomes and student performance using AI
Academic integrity and assessment challenges in the age of AI
Evaluation frameworks for AI-enhanced learning environments

Student Experience and Engagement

Personalization of learning using AI
AI tools for student support, feedback, and mentoring
Impact of AI on student motivation, creativity, and critical thinking
Human-AI collaboration in engineering education

Tools, Systems, and Case Studies

Development and deployment of AI-based educational tools
Classroom implementations and case studies
Scalable and deployable AI solutions for large classrooms or online learning
Integration of AI into lab environments and experiential learning

Ethics, Equity, and Challenges

Ethical considerations in AI use in education
Bias, fairness, and transparency in AI systems
Accessibility and inclusivity in AI-enhanced learning
Faculty readiness and barriers to adoption

Publication

Accepted papers will be published in the IEEE ComComAp 2026 proceedings and will be submitted for inclusion in the IEEE Digital Library / IEEE Xplore.

Best Paper Award: One Best Paper Award will be presented within this workshop.

Important Dates

The workshop will follow the same submission and notification deadlines as the main ComComAp 2026 conference.

Submission

Authors are invited to submit their papers through the official submission system.

Submit Paper