AI as Your Teaching Assistant: Reimagining Education in the Age of Artificial Intelligence
By George Chacko, Sr. Director Academic and Classroom Technology, Pace University
Artificial Intelligence is no longer a futuristic concept it’s here, integrated into nearly every facet of our lives. Whether you embrace it or resist it, its presence is undeniable. From automating administrative workflows to organizing workout routines and even assisting with homework assignments, AI has become central to how we operate.
In higher education, AI is no longer just a tool; it’s becoming a dynamic partner in the teaching and learning process. It empowers faculty to evolve from the traditional “sage on the stage” role into mentors and facilitators of innovation and creativity. As an adjunct professor, I think of AI as my digital teaching assistant, one that helps engage students, allowing me to dig deeper into concepts that require more attention or to better support individual learning needs.
As we stand at this crossroads of education and innovation, the future isn’t about choosing between humans and machines; it’s about forging a partnership where each enhances the other.
AI as an Assistant in Higher Ed
Personalized Learning
AI tools such as Coursera and Realizeit are revolutionizing the way students learn and how instructors teach. Coursera allows learners to explore topics at their own pace while receiving real-time feedback via quizzes and skill-based assessments. Instructors can supplement classroom discussions with curated content, making sessions more targeted and impactful.
Realizeit takes it a step further by adapting content in real time. It builds individualized learning paths based on each student’s performance, helping instructors identify knowledge gaps and provide focused interventions. Meanwhile, lecture capture and video repository platforms allow students to access recorded lectures on demand. Its AI features analyze viewer behavior, identifying sections that students frequently rewind or pause, insights that help faculty refine future instruction. These innovations create more flexible, engaging, and student-centered learning environments.
Administrative Efficiency
Lumi, the AI assistant embedded in the D2L learning management system, is transforming the backend of education. It assists teachers in automating repetitive processes such as developing discussion starters, assigning readings, preparing quizzes, and establishing weekly modules. The time saved can then be reinvested in higher-impact activities such as mentoring students, innovating curricula, or designing deeper assessments.
Lumi doesn’t stop at task automation. It also offers intelligent suggestions based on historical data, course objectives, and real-time student performance. It can recommend supplementary resources for struggling students, flag underperforming materials, and propose changes to improve engagement and retention. These capabilities contribute to more consistent course delivery and ensure that students receive timely, personalized support.
Pedagogical Innovation
“Flipping the classroom” has long been an aspirational concept, but with AI, it becomes more actionable. Tools like Perusall enable students to collaboratively engage with readings before class, with the platform flagging sections that cause confusion, letting instructors focus class time on deeper exploration.
ChatGPT and other generative AI platforms can act as virtual teachers, available around-the-clock to assist students with inquiries or subject revision. Quizlet AI creates flexible study aids to help students remember important ideas outside of the classroom. And once again, lecture capture tools like Panopto provide vital engagement analytics that help guide instructors on where to focus in-person time. Together, these tools don’t just complement instruction they help redefine it. AI turns hybrid and flipped learning models into more effective and personalized teaching strategies.
The Human Element Still Matters
Despite these technological advances, the human element in education remains irreplaceable. Empathy, emotional intelligence, and mentorship form the cornerstone of the student-teacher relationship. These elements carry far more influence than any algorithmically generated quiz or lecture breakdown.
Peer collaboration, group work, and in-person engagement form the social and emotional fabric of a meaningful academic experience. Trust, connection, and shared growth are outcomes of human interaction, not machine output. While AI can personalize content and streamline grading, it cannot replace the intuitive judgment and emotional support that only educators can provide.
AI should support not substitute teaching. Faculty must stay at the center of the educational experience, guiding ethical use, fostering engagement, and maintaining accountability. An over-reliance on automation could weaken learning’s relational and egalitarian components. The human experience should be enhanced by technology, not diminished.
Final Thoughts
It’s not necessary or feasible for every institution or individual to invest in all the platforms and tools mentioned here. The key takeaway is to identify and develop a model that works for your institution’s goals, your students’ needs, and your teaching philosophy. The goal isn’t to chase every shiny new AI tool, but to build a thoughtful, scalable, and student-centric model of digital enhancement.
Last but not least, a word of advice: fact-check any work produced by generative AI. Despite their strength, these instruments are not perfect. Instead of taking the role of critical thinking, they ought to enhance it.
As we stand at this crossroads of education and innovation, the future isn’t about choosing between humans and machines; it’s about forging a partnership where each enhances the other. In that space, educators can focus more on what only they can do: inspire, connect, and lead.