Artificial Intelligence in Engineering Education

Dear Colleagues,

This Special Issue examines the growing role of Artificial Intelligence (AI) in transforming engineering education. We seek contributions that address how AI tools, methods, and computational frameworks can enhance instructional design, enable personalized and adaptive learning, and optimize data-driven assessment and decision -making in engineering programs.

Topics of interest include (but are not limited to) AI-driven adaptive and intelligent tutoring systems, generative AI for engineering problem-solving and automated content generation, simulation-based and virtual laboratories, data analytics for learning performance modeling, curriculum redesign for AI literacy and competency alignment, and approaches that promote innovation and technical skill development for the future engineering workforce.

We particularly welcome work that evaluates the performance and scalability of AI-enhanced learning environments, investigates algorithmic models for knowledge tracing and student modeling, and analyzes the integration of AI technologies into core engineering courses and laboratory experiences. Both theoretical and applied research are encouraged, as well as implementation case studies demonstrating measurable learning outcomes and instructional advancements.

By gathering interdisciplinary perspectives, this Special Issue aims to showcase how AI can advance engineering pedagogy, assessment, and instructional design while redefining the computational infrastructure supporting engineering education.

Dr. Ghazal Barari
Dr. Kouroush Jenab
Dr. Omar Ochoa
Dr. Leila Halawi
Guest Editors

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