Navigating Education in the AI Era

A Rudder for Learning

My kayak has a rudder most of the time. This morning, I went on my normal 6-mile kayak paddle and, as happens once in a while, I broke a rudder cable. This, of course, makes the rudder a useless appendage. Now, I paddle a lot. I once calculated that I have over 26,000 miles logged on this particular kayak. Don’t be too impressed; I have had this boat for 15 years.

Losing the rudder did not end the paddle. The Inuit navigated vast Arctic waters without rudders for millennia. But as I compensated with sweep strokes and edging techniques, burning unnecessary energy to maintain course, one truth became clear: when you have a tool that makes navigation more precise and efficient, losing it makes reaching your goal unnecessarily difficult. So yeah, I miss the rudder when it’s gone.

Embracing AI as Education’s Rudder

Just as a kayak’s rudder allows for more efficient and precise navigation, artificial intelligence (AI) can be a transformative tool in the journey of learning (Usdan et al., 2024). Today’s educational landscape is shaped by the rapid integration of generative AI tools such as ChatGPT, which students often use to streamline their work (For better or worse). By 2023, nearly half of college students had experimented with AI-based writing platforms, while a majority of instructors had yet to try them (College of Education, University of Illinois Urbana-Champaign, 2024). In medical education, 96% of students were aware of ChatGPT and more than half used it for tasks such as drafting text and clinical reasoning, mainly to save time (Rodriguez, 2024).

AI’s Value: From Productivity to Deep Learning

Learners are clearly turning to AI as a helpful “rudder,” employing it to manage heavy workloads more efficiently (Usdan et al., 2024); (Boscardin et al., 2024). AI-powered tools enable personalized learning by tailoring content, offering instant feedback, and generating practice materials (College of Education, University of Illinois Urbana-Champaign, 2024). This support allows students to shift their effort from rote tasks toward more meaningful challenges, much as a rudder keeps a kayak on course instead of drifting aimlessly (Ross, 2023).

Educators, too, benefit: AI can automate repetitive work such as grading or lesson planning and analyze student data to catch issues early (College of Education, University of Illinois Urbana-Champaign, 2024). With regard to grading assignments, if you train the AI on the entire textbook and your lecture notes, the feedback can be made more insightful. It’s work but it can improve the quality of your contribution to the teaching moment. Freed from these rote tasks, teachers can focus on mentoring and delivering more impactful instruction. Better yet, they can begin to design better methods for deeper learning.

The Writing Process, Critical Thinking, and AI

It’s crucial not to overlook the enduring value of the writing process itself as a vehicle for building critical thinking and creativity. Decades of research confirm that writing is a catalyst for comprehension and higher-order thinking. It pushes learners to analyze, synthesize, and extend ideas (Sedita, 2025). Studies suggest that when students rely passively on AI to produce text, they may bypass the deep thinking that writing fosters, leading to diminished learning outcomes and weaker critical thinking (Hudson, 2025; Skillicorn, 2025).

Conversely, when students use AI reflectively, integrating its outputs into their own reasoning, revising, and personalizing the results. They achieve stronger mastery and knowledge construction (Boscardin et al., 2024); (Bushnell et al., 2025).

Instructor guidance is essential: even brief modeling on how to use AI within the writing process significantly boosts student creativity and satisfaction (Bushnell et al., 2025). The emerging best practice is to evaluate not just final products, but the process. Requiring students to submit drafts, mind maps, notes on thought process, reflections, and critiques of AI-generated work to verify their engagement with generative learning (Sedita, 2025).

AI as Accelerator: Opportunities and Guardrails

Some worry that using AI is akin to “cheating” or promotes laziness. Indeed, studies show frequent, uncritical use of AI can reduce independent analysis and creativity, especially among younger and less-experienced students (Hudson, 2025; Skillicorn, 2025). The antidote is purposeful integration: AI should serve as a scaffold, not a shortcut. Assignments that prompt evaluation, synthesis, or critique of AI outputs foster critical engagement (Boscardin et al., 2024).

Moreover, AI can inspire creativity by generating options, simulating scenarios, or offering diverse perspectives. This is particularly true when educators frame AI as a brainstorming partner, not the source of final answers (Bushnell et al., 2025).

The Educator’s Role: Helm and Stewardship in the AI Era

If AI is the new rudder, educators remain firmly at the helm. They must stop pretending AI isn’t part of the academic landscape and instead explicitly integrate it with clear expectations, ethics, and boundaries (College of Education, University of Illinois Urbana-Champaign, 2024). Setting guidelines such as when AI assistance is permitted and when it isn’t is essential, especially in integrity-critical fields like healthcare (Boscardin et al., 2024).

Research calls for co-creation of these norms with students, emphasizing AI as an augmentative tool rather than a replacement for human learning. When traditional assignments can be completed by AI alone, it signals the need for richer, more complex tasks that demand human judgment and reflection (Ross, 2023); (Boscardin et al., 2024).

Educators must also foster AI literacy: teaching students to prompt AI thoughtfully, verify its outputs, and remain alert to potential biases or errors (College of Education, University of Illinois Urbana-Champaign, 2024). Faculty themselves must continually upskill, sharing best practices and modeling responsible use (Boscardin et al., 2024).

Productive Effort: Preserving Meaningful Struggle

The goal isn’t to eliminate all student effort, but to make it purposeful and rewarding. AI can strip away busywork, but the art of teaching lies in preserving “desirable difficulties”. These are challenges that lead to long-term retention and problem-solving (Graham et al., 2020; Nosta, 2024). Assignments should leverage AI for support (e.g., fact-checking, preliminary drafts), while ensuring the real intellectual labor of analysis, synthesis, creation remains in students’ hands (Boscardin et al., 2024).

AI in Healthcare Education: Benefits and Boundaries

In healthcare education, thoughtful AI integration is especially vital. Students can use generative AI for quizzing, case analysis, or study organization, but explicit instruction and supervision are needed to prevent overreliance and maintain foundational competencies (Rodriguez, 2024). Curricula are evolving to include critical appraisal of AI recommendations and awareness of algorithmic biases, fostering ethical, human-centered clinicians who treat AI as a complement, not a crutch (Boscardin et al., 2024).

Charting the Course Forward

AI is now an indelible part of education’s landscape. The wise path is neither outright rejection nor uncritical embrace. Instead, educators and students must work together to ensure AI becomes a means for greater precision, empowerment, and mastery. With educators setting the direction and students remaining active paddlers, the future of learning can indeed harness AI’s strengths—without sacrificing human ingenuity and effort (Ross, 2023; Boscardin et al., 2024).

References

Boscardin, C. K., Gin, B., Golde, P. B., & Hauer, K. E. (2024). ChatGPT and generative artificial intelligence for medical education: Potential impact and opportunity. Academic Medicine, 99(1), 22–27. https://doi.org/10.1097/ACM.0000000000005439 (opens in a new tab)

Bushnell, J. T., Harrison, W., & Ecampus Research Unit. (2025). AI improves creativity in student writing when supported by instructor guidance. Retrieved from https://news.oregonstate.edu/news/ai-improves-creativity-student-writing-when-supported-instructor-guidance-study-finds (opens in a new tab)

College of Education, University of Illinois Urbana-Champaign. (2024, October 24). AI in schools: Pros and cons. (Office of Communications). Retrieved from https://education.illinois.edu/about/news-events/news/article/2024/10/24/ai-in-schools--pros-and-cons (opens in a new tab)

Graham, S., Kiuhara, S. A., & MacKay, M. (2020). The effects of writing on learning in science, social studies, and mathematics: A meta-analysis. Review of Educational Research, 90(2).

Hudson, E. (2025, April 26). AI and the teaching of writing. Eric Hudson | Substack. https://erichudson.substack.com/p/ai-and-the-teaching-of-writing (opens in a new tab)

Nosta, J. (2024, December 12). Artificial intelligence and the physics of learning: Rethinking “cognitive energy” in the era of large language models. Psychology Today. https://www.psychologytoday.com/ (opens in a new tab)

Rodriguez, S. (2024, November 13). Study reveals medical students’ use of ChatGPT in education and calls for ethical guidelines [Press release]. Keck School of Medicine of USC News.

Ross, E. M. (2023, July 20). Embracing artificial intelligence in the classroom. Usable Knowledge, Harvard Graduate School of Education. https://www.gse.harvard.edu/ideas/usable-knowledge/23/07/embracing-artificial-intelligence-classroom (opens in a new tab)

Sedita, J. (2025). Writing in the age of AI. Keys to Literacy. https://keystoliteracy.com/blog/writing-instruction-in-the-age-of-ai/ (opens in a new tab)

Skillicorn, N. (2025, January 14). Relying on AI tools can reduce our ability for critical thinking. Idea to Value. https://www.ideatovalue.com/insp/nickskillicorn/2025/01/relying-on-ai-tools-can-reduce-our-ability-for-critical-thinking/ (opens in a new tab)

Usdan, J., Chang, H., & Pensky, A. C. (2024, September). Study finds generative AI significantly boosts graduate-level writing efficiency and quality. Heinz College, Carnegie Mellon University. https://www.heinz.cmu.edu/media/2024/September/study-finds-generative-ai-significantly-boosts-graduate-level-writing-efficiency-and-quality (opens in a new tab)