It’s Sunday night. You’re prepping for three different courses tomorrow, you have 50 discussion posts waiting for feedback, and you just remembered you need to send that midterm reminder. The to-do list feels endless, and you’re exhausted.
If this sounds familiar, you’re not alone. However, here’s what might transform your week: a groundbreaking 2025 poll revealed that educators who integrate AI tools into their weekly practice are reclaiming nearly six hours each week—precious time they’re reinvesting directly into student support, rather than just catching up on lost sleep (Walton Family Foundation and Gallup, 2025).
Let’s be clear: we’re not discussing replacing your teaching expertise or your unique voice in the classroom. Instead, we’re talking about fundamentally reshaping your workflow to strategically offload repetitive cognitive labor. This approach reclaims both your mental bandwidth and your time, allowing you to redirect your energy toward what likely drew you to education in the first place: building genuine connections with students, sparking intellectual curiosity, and being fully present for those magical moments when learning truly happens.
The reality is that generative AI tools like ChatGPT are already present in our educational ecosystems. Our students are actively using them, often without clear guidance. As Gamby and colleagues (2025) powerfully argue in “The AI Tsunami Is Here,” this technological shift demands nothing less than a thoughtful reinvention of our educational practices. The critical question has evolved from whether AI belongs in education to how we can harness it responsibly to alleviate administrative burdens while preserving the essential human touch that gives teaching its profound meaning.
1. Jump-Start Lesson Planning
Staring at a blank document late at night is mentally draining and inefficient. Rather than beginning from zero, use AI as your collaborative brainstorming partner. For instance, when I needed to add a new syllabus requirement explaining “regular and effective contact” for my online courses, I turned to ChatGPT with this specific prompt: “Draft a unique paragraph for a syllabus that explains how ‘regular and substantive contact’ will be met in an asynchronous online course, focusing specifically on instructor-led discussions and personalized feedback mechanisms.”
Within seconds, I had a professional, compliant draft that addressed all the necessary administrative points. This allowed me to spend a productive 15 minutes adapting the text with specific course details and injecting my personal teaching philosophy, rather than wasting a full hour struggling with initial composition. The key is recognizing that AI generates raw material, but you provide the pedagogical expertise and personal touch that makes it effective.
Crucial reminder: Treat the AI’s output as your initial draftsperson. Your role remains that of the expert editor and subject specialist who ensures the final product reflects your standards and addresses your students’ specific needs.
Time saved: 30–45 minutes per lesson plan.
Impact: Preserves creative energy for more complex instructional design challenges.
2. Turn Students into Critical Thinkers
One of the most powerful classroom applications involves transforming AI from an answer-generator into a catalyst for critical analysis. Try this simple, effective exercise: project an AI-generated explanation of a complex concept your class is studying—perhaps Freud’s dream theory or Keynesian economics—then facilitate a collaborative “AI autopsy.” Guide students through essential evaluative questions:
- What key elements did the explanation capture accurately?
- What nuances, exceptions, or cultural contexts did it overlook or oversimplify?
- What potential biases might be embedded in this particular response?
- How would we verify this information using authoritative scholarly sources?
This ten-minute activity fundamentally reframes AI as a tool for collaborative inquiry rather than passive consumption. As Ruth Holbeck (2025) astutely observes, the skill of effective prompting is itself a sophisticated critical thinking exercise. She reframes this competency not as merely extracting good answers from technology, but as “teaching students to interrogate the AI’s thought process.” When students identify gaps, biases, or oversimplifications in the AI’s response, they’re practicing exactly these essential critical evaluation skills.
Key strategy: Position this activity as a shared investigation where you and your students are detective partners, not as a “gotcha” exercise meant to prove AI’s inadequacy. The goal is building durable critical thinking habits.
Time investment: 10–15 minutes of class time.
Impact: Develops essential digital literacy and critical evaluation skills that extend far beyond the classroom.
3. Streamline Feedback and Assessment
Providing meaningful, individualized feedback remains one of the most valuable yet time-intensive aspects of teaching. We’re certainly not suggesting outsourcing final grading or nuanced evaluation to AI. However, these tools can dramatically accelerate the drafting process for formative comments that you then review, personalize, and deliver.
Consider this common scenario: a student submits a paragraph that shows genuine effort but suffers from unclear phrasing and an inappropriate casual tone. Instead of spending ten minutes crafting feedback from scratch, paste the text into an AI tool with this directive: “Provide constructive, supportive feedback on this student paragraph, focusing specifically on improving clarity and academic tone.” The AI might suggest three specific, actionable improvements. You then add a sentence of personal encouragement that reflects your relationship with that student—“You’re clearly engaging with the core concepts here, Sarah—let’s work together to sharpen how we articulate these complex ideas”—and send it off.
The entire process takes two minutes instead of ten but preserves your pedagogical judgment and personal connection. You maintain final editorial control, ensuring all feedback is accurate, encouraging, and tailored to the individual learner’s needs.
Essential practice: Never deliver AI-generated feedback verbatim. Your unique voice, awareness of each student’s journey, and specific encouragement are what make feedback transformative rather than merely corrective.
Time saved: 3–8 minutes per student response.
Impact: Enables consistent and timely intervention across larger classes.
4. Model Ethical and Responsible AI Use
Many students are already actively using AI tools to maintain academic motivation and manage their learning, as Lucas Orfanides (2025) describes in his personal account of ChatGPT serving as a study companion. Rather than ignoring this reality, we can proactively guide students toward ethical, effective use.
Initiate transparent conversations about academic integrity by demonstrating practical methods for verifying AI-generated information against reputable sources. Share concrete examples of AI hallucinations or biases and establish clear protocols requiring students to acknowledge when they’ve used AI for brainstorming or preliminary research.
The California Community Colleges’ HUMANS Framework (2025) offers an excellent structure for these discussions. You can teach students to apply its principles directly to their work:
- H (Human-Centered): Use AI to generate initial drafts, but you must provide the final critical analysis and unique voice.
- U (Unbiased): Actively prompt the AI for “multiple perspectives on [your topic]” to reveal and counter its inherent training biases.
- M (Measured): Critically evaluate every AI output; never accept its first response as factual without verification.
- A (Accountable): You bear ultimate responsibility for any work you submit, regardless of AI assistance in its creation.
- N (Networked): Treat AI as one research tool among many, complementing—not replacing—library databases and expert sources.
- S (Secure): Protect privacy by never inputting sensitive, personal, or student-identifiable information.
Best practice: Don’t simply lecture about these principles—actively model them during class sessions by live-editing an AI-generated paragraph or comparing outputs from different AI tools on the same prompt.
Time investment: 5–10 minutes introduced once or twice per semester.
Impact: Significant. Builds lasting foundations for academic integrity and digital citizenship.
5. Reduce Routine Communication Tasks
Repetitive administrative communication—while necessary—consumes disproportionate mental energy. Weekly reminders, course announcements, encouragement emails, and assignment clarifications can be efficiently drafted with AI assistance while preserving your authentic voice.
For example, when I needed to send a midterm reminder last semester, I prompted ChatGPT: “Draft a friendly, supportive email reminding students about upcoming midterms that encourages those who are struggling to visit office hours for extra help.” Within thirty seconds, I had a complete, professionally worded draft. I added a specific reference to our recent class discussion about imposter syndrome, adjusted a few phrases to sound more like me, and sent it to all my students.
The entire task took three minutes instead of fifteen. Other perfect applications include welcome messages, weekly module introductions, assignment clarification emails, and office hours reminders.
Critical adjustment: AI drafts often sound generic. Always customize with personal anecdotes, specific class references, or encouraging comments that reflect your genuine relationship with students. Avoid the “one-size-fits-all” trap.
Time saved: 10–20 minutes weekly.
Impact: Frees significant mental space for more meaningful, substantive student interactions.
Keeping the Human at the Center
When used strategically, AI excels at automating routine tasks like lesson drafting and feedback formulation. This automation naturally raises a concern: could it lead to intellectual laziness? The answer lies in redefining our role. Used as a draftsperson—not a decision-maker—AI doesn’t replace your judgment; it depends on it. Your expertise is what transforms its raw output into meaningful teaching.
This is not about doing less thinking but about doing more of the kind of thinking that matters. The true “AI dividend” is professional elevation. The time reclaimed from administrative work is reinvested into the highest-impact intellectual work: designing complex assessments, facilitating rich Socratic dialogues, and providing nuanced feedback. In this way, AI doesn’t replace the educator; it elevates our role from content manager to learning mentor, allowing us to focus on the uniquely human aspects of teaching: mentoring, connection, and intellectual inspiration.
Start Small, Start Now
Ready to claim your time? Your first step is simple. This week, use AI as your assistant on one small task—that nagging weekly email or a standard feedback template. Draft, refine with your unique touch, and deploy.
The minutes you save are more than just time; they are the building blocks of a more fulfilling practice. They are the potential for a breakthrough with a struggling student, the seed of an innovative lesson, or simply the creative energy you bring back to your classroom. This is your personal AI dividend. Don’t just count the hours—make the hours count. Start small, start now, and redirect your expertise to where it shines brightest.
Authors’ Note: This article was drafted with the assistance of AI tools, including ChatGPT, Claude, and DeepSeek, and was substantially revised and edited by the authors.
David E. Balch, PhD, teaches at Rio Hondo College, where he specializes in integrating technology and evidence-based practices in community college instruction.
Robert Blanck, MA, is a faculty member in the Department of Education at the University of California, Riverside Extension, specializing in innovative teaching strategies and educational technology.
References
California Community Colleges Chancellor’s Office. 2025. Generative AI and the Future of Learning. Accessed October 24, 2025. https://www.cccco.edu/About-Us/GenAI-and-the-future-of-learning
Gamby, Tyler, David Kil, Riel Koblic, Paul LeBlanc, Marina Moldoveanu, and George Siemens. 2025. “The AI Tsunami Is Here: Reinventing Education for the Age of AI.” EDUCAUSE Review, September 18, 2025. https://er.educause.edu/articles/2025/9/the-ai-tsunami-is-here-reinventing-education-for-the-age-of-ai
Holbeck, Ruth. 2025. “Helping Students Develop AI Prompting Skills for Critical Thinking.” Faculty Focus, June 27, 2025. https://www.facultyfocus.com/articles/teaching-with-technology-articles/helping-students-develop-ai-prompting-skills-for-critical-thinking
Orfanides, Lucas. 2025. “As a College Student, Studying Can Be Difficult and Lonely. ChatGPT Has Become My Go-to Study Buddy.” Insider, October 18, 2025. https://www.insider.com/chatgpt-study-buddy-college-student-2025-10
Walton Family Foundation and Gallup. 2025. Teaching for Tomorrow: Unlocking Six Weeks a Year with AI. Retrieved October 24, 2025. https://news.gallup.com/poll/691967/three-teachers-weekly-saving-six-weeks-year.aspx