UMPSA STEM Lab custom FPGA Board (1st Iteration)
Month: July 2026
Reimagining the Engineering Classroom: New Collection on GenAI and the Cognitive Learning Curve
When Springer Nature first approached me to submit a proposal for a new journal collection, it happened to be Week 5 of the lecture semester. As I stood in front of my class, a realization crossed my mind about how much the landscape of teaching has shifted.
Today’s students have an incredible wealth of resources right at their fingertips. With the rise of Generative AI (GenAI), sourcing facts, generating code, or finding answers is no longer a challenge. Information is practically instantaneous.
But as educators, we face a dilemma – well, at least, I do.
You can ask AI to generate an answer, but you cannot outsource “understanding.” True understanding is an internal, deeply personal cognitive process. It is that suara hati (the inner voice) where a student rationalizes a problem, wrestles with the logic, and finally externalizes it by explaining or applying it.
In engineering education, where technological breakthroughs move at breakneck speed, simply banning or restricting AI in the classroom is an outdated approach. Yet, granting unfettered access without a proper pedagogical framework presents a dangerous risk: it dilutes the actual human learning curve and breeds cognitive dependency. How do we ensure our future engineers are still learning how to think, not just how to prompt?
Driven by this exact tension, I submitted a proposal that was recently accepted by Springer Nature’s Discover Education journal: “Reimagining Engineering Pedagogy: Balancing Cognitive Development and Generative AI in Computational Learning.” 🙂
The ultimate aim of this collection is to create a collaborative space where we can learn from best practices, empirical observations, and innovative frameworks developed by educators across the global engineering segment. We want to uncover how to design learning environments where GenAI acts as a technical accelerant without bypassing the essential human cognitive processing required for true mastery.
Join the Conversation & Submit Your Work
To all fellow engineering educators, researchers, and practitioners out there: if you are actively navigating this paradigm shift in your classrooms—whether in electrical, mechanical, civil, chemical, or software engineering—I warmly invite you to submit your research, case studies, or conceptual frameworks to this collection.
Let’s work together to shape the future of how engineering is taught.
View the official collection webpage and submission guidelines here: Click here to view the Collection Webpage
Note: The official Call for Papers document containing the detailed scope and submission timelines is attached below/on the website for your reference. Please feel free to reshare this call within your academic networks! Looking forward to your valuable submissions.
