Active Learning

What Is Active Learning?

Active learning is any instructional approach that engages students in doing and thinking, rather than passively receiving information. Instead of listening to a lecture and taking notes, students analyze, discuss, create, apply, and reflect — often in real time during class. Research consistently shows that active learning improves retention, deepens understanding, and increases student engagement across disciplines.

The core principle is simple: class time is too valuable to spend only transmitting information. Students can read or watch recordings on their own. What they can't replicate alone is guided practice, peer dialogue, and immediate feedback.

Getting Started: Low-Effort Techniques for Any Class

You don't need to overhaul your course to get started. These techniques slot into existing lectures with minimal preparation:

Think-Pair-Share. Pose a question, give students 60–90 seconds to think individually, then have them discuss with a neighbor before sharing with the class. Works for any subject.
Muddiest Point. At the end of class (or a major concept), ask students to write down the one thing they found most confusing. Read responses between sessions and address them next time.
Cold calling with wait time. Pause after asking a question and give the full class 30 seconds to think before calling on anyone. This shifts the dynamic from "who has the answer ready?" to "everyone thinks first."
One-minute paper. Give students 60 seconds to write a response to a prompt — a prediction, a connection, a critique. Collect or have them share with a partner.
Polling. Use a free tool (Poll Everywhere, Mentimeter, or a simple show of hands) to surface misconceptions mid-lecture and adjust on the fly.

Ideas for Smaller Classes (Under ~35 Students)

Smaller classes allow for richer discussion, higher individual accountability, and more complex collaborative tasks.

Structured discussion protocols Move beyond open-ended discussion with formats like Socratic Seminar (students lead a text-based dialogue), Jigsaw (each student becomes an "expert" on one piece and teaches it to peers), or Fishbowl (a small inner circle discusses while the outer circle observes, then roles rotate).
Problem-based learning (PBL) Present students with a realistic, messy problem at the start of a unit — before teaching the relevant content. They work in small groups to identify what they need to know, research it, and propose solutions. This mirrors professional practice and makes content feel purposeful.
Case studies and role plays Give groups different stakeholder perspectives on a real scenario (a policy debate, an ethical dilemma, a business decision) and have them argue, negotiate, or present. Debrief together.
Workshop / studio model Reserve a portion of class for students to work on their projects while you circulate and offer feedback in real time. Particularly effective in writing, design, coding, and lab courses.
Student-led teaching Assign pairs or small groups to design and facilitate a 10–15 minute segment of class on a topic. They learn deeply; their peers hear a different voice; you gain formative insight into how students understand the material.

Ideas for Larger Classes (50–200+ Students)

Large lectures present real constraints — noise, anonymity, logistics — but active learning is still achievable with the right structures.

Team-Based Learning (TBL) A highly structured approach where permanent teams of 5–7 complete individual and group readiness tests, then apply concepts to challenging problems in class. Works remarkably well at scale because teams self-manage and peer accountability is built in.
Peer Instruction (PI) Developed by Eric Mazur at Harvard, PI pairs multiple-choice conceptual questions (ConcepTests) with voting technology. Students vote individually, discuss with neighbors, then vote again. The instructor uses the spread of answers to decide whether to explain or move on. Even large lecture halls become active.
Flipped classroom elements Assign short videos or readings to cover foundational content before class. Use face-to-face time for application, problem-solving, and Q&A. You don't have to flip everything — even flipping 20% of sessions frees up significant class time for active work.
Structured small-group work Even in a 200-person auditorium, students can turn to neighbors. Give crisp tasks with a defined output (a written answer, a ranked list, a quick sketch) and a strict time limit (3–5 minutes). Debrief by cold-calling groups or asking for written submissions via poll.
Gallery walk (adapted) Post large questions or problems on slides. Assign different sections of the room to different questions, give groups time to discuss and write their answers in a shared document or response form, then debrief across the whole class.
Low-stakes writing at scale Use digital tools (Google Forms, Canvas) to collect short written responses mid-class. You don't need to read all of them — sampling 10–15 anonymized responses and projecting them sparks rich discussion and makes students feel heard.

Making It Work: Practical Advice

Explain the why. Students who are used to passive learning sometimes resist active methods. Tell them explicitly why you're doing this and what evidence supports it. Resistance drops when students feel respected, not experimented on.
Start small. Add one technique per session before redesigning whole units. Build your own confidence alongside theirs.
Design for accountability. Active tasks need stakes, even small ones: a completion mark, peer feedback, a brief written submission. Without some accountability, off-task behavior creeps in — especially in large classes.
Embrace productive discomfort. Silence, confusion, and imperfect answers are signs of thinking, not failure. Normalize struggle as part of learning.
Get feedback early. Use a mid-semester check-in (a quick anonymous survey) to find out what's working and what isn't. Adjust, and tell students you adjusted. This models intellectual honesty and builds trust.

Additional resources

GenAI Usage Disclosure: This document was created with assistance from genAI tools. The content has been reviewed and edited by humans. For more information on the extent and nature of genAI usage, please contact the CTLO.