Active Learning Is Not About Keeping Students Busy: Lessons for the AI Era

 

By Xi Lin

Imagine walking into an online class where students are constantly clicking buttons, posting comments, and answering polls. It certainly looks active. But are students learning?

For many years, higher education instructors have embraced active learning to increase engagement and improve student outcomes. We have replaced long lectures with discussions, group projects, simulations, and collaborative activities. These approaches often lead to better participation and deeper learning than passive instruction.

However, a recent article published in Active Learning in Higher Education challenges us to rethink what active learning really means. The authors argue that active learning should not simply be about having students do more. Instead, it should focus on purposeful activity, learner agency, and meaningful participation in knowledge creation.

In other words, active learning is not about keeping students busy. It is about helping students become active thinkers.

The Problem with “Activity for Activity’s Sake”

As instructors, we sometimes fall into a common trap. We assume that if students are participating, they must be learning.

Discussion boards are full.

Poll responses are submitted.

Breakout rooms are active.

Everyone appears engaged.

But participation alone does not guarantee meaningful learning. Students can complete activities without deeply processing ideas or making connections to prior knowledge.

Think about the last online professional development session you attended. Did clicking through polls automatically make the session memorable? Probably not.

The same is true for our students.

This article encourages educators to move beyond the simple question, “Are students active?” and instead ask, “What kind of activity is taking place, and why does it matter?”

Active Learning in an AI World

This conversation becomes even more important as artificial intelligence becomes a common part of higher education.

A few years ago, active learning often meant students discussing ideas with classmates, solving problems together, or creating projects. Today, students may also collaborate with AI systems.

For example, students can:

• Brainstorm ideas with ChatGPT.
• Practice job interviews with AI role-play tools.
• Generate case studies and scenarios.
• Receive instant feedback on writing.
• Explore multiple perspectives on complex issues.

These possibilities create exciting opportunities, but they also raise important questions.

If AI generates the first draft of a student’s work, where does learning occur?

If AI suggests solutions, how can students develop independent judgment?

If students rely heavily on AI, how can instructors support agency and ownership of learning?

The authors argue that future active learning designs must carefully consider the relationship between human learners and AI tools. The goal should not be replacing thinking with technology. Instead, AI should create more opportunities for reflection, critique, creativity, and decision-making.

Three Questions for Designing Active Learning

As higher education instructors, we can use three simple questions to guide the design of online learning activities.

1. Are Students Making Meaning?

Students should do more than repeat information.

For example, rather than asking students to summarize a reading, ask them to apply the concepts to a real-world situation, evaluate competing viewpoints, or connect the ideas to their professional experiences.

Meaningful learning happens when students actively construct understanding.

2. Do Students Have Agency?

Agency refers to students having some ownership over their learning process.

Can students choose topics?

Can they select tools or resources?

Can they decide how to demonstrate their learning?

Giving students appropriate choices often increases motivation and engagement while encouraging self-directed learning.

3. Are Students Creating Something New?

The strongest active learning activities often involve creation rather than consumption.

Students might develop a proposal, design a solution, produce a podcast, create an infographic, or develop an AI-supported project.

When learners create something meaningful, they move beyond remembering information and begin to apply, analyze, and synthesize knowledge.

Practical Ideas for Online Courses

The good news is that active learning does not require a complete course redesign.

Here are a few simple strategies that align with these emerging ideas:

·      AI Debate Partner: Students ask an AI tool to argue an opposing viewpoint and then evaluate the strengths and weaknesses of the response.

·      Real-World Problem Challenges: Present authentic workplace problems and ask students to develop evidence-based solutions.

·      Student-Generated Resources: Have students create study guides, instructional videos, or collections of resources for future learners.

·      Reflective AI Journals: Ask students to document how they used AI during a project and critically evaluate its strengths and limitations.

·      Choice-Based Assignments: Allow students to select from multiple project formats such as presentations, podcasts, infographics, or reports.

These activities emphasize thinking, decision-making, and ownership rather than simply completing tasks.

Looking Ahead

The future of active learning is not about adding more activities to our courses. It is about designing experiences that help students become thoughtful participants in their own learning.

As AI continues to reshape higher education, this distinction becomes increasingly important. Students will always have access to information. They will increasingly have access to AI-generated answers as well.

What they need from higher education is something different: opportunities to question, analyze, create, and make informed judgments.

The next time you design an online activity, consider asking yourself one simple question:

Does this activity help students think, or does it merely keep them busy?

The answer may be the difference between active participation and active learning.

Reference

Børte, K., & Zeivots, S. (2026). Active learning in higher education: Inheriting pasts and emerging futures. Active Learning in Higher Education, 27(2), 207–219. https://doi.org/10.1177/14697874261426575

 

Active Learning Online: Five Strategies That Make Students Want to Click “Join”

 

 

By Xi Lin

Have you ever spent hours creating online lectures, only to discover that students watched the videos at double speed—or perhaps did not watch them at all? If so, you are not alone. One of the biggest challenges in online higher education is keeping students engaged in meaningful learning rather than simply completing course requirements.

Recent research offers some encouraging news. A 2025 study published in Frontiers in Education found that active learning strategies can significantly improve students' learning experiences and attitudes in online courses. Rather than treating students as passive recipients of information, active learning encourages them to discuss, collaborate, analyze, and apply what they are learning in authentic ways.

The message is clear: online learning works best when students are actively involved in the learning process.

What Is Active Learning?

Active learning is any instructional approach that requires students to do more than simply listen, read, or watch. Students engage with ideas, solve problems, participate in discussions, create products, and reflect on their learning.

Think of it this way:

• Passive learning asks students to consume information.
• Active learning asks students to use information.

In online environments, active learning is particularly important because it helps address common challenges such as isolation, disengagement, and lack of interaction.

Five Active Learning Strategies for Online Higher Education

1. Think-Pair-Share Goes Digital

Think-pair-share is a classic active learning strategy that works surprisingly well online.

Start by presenting a question or scenario. Give students time to think independently and post their responses. Then place them in pairs or small groups to compare ideas before sharing key insights with the class.

For example, in an educational technology course, students might discuss whether generative AI should be used to provide feedback on student writing. The initial reflection encourages independent thinking, while the discussion exposes students to diverse perspectives.

2. Use Case Studies Instead of Content Dumps

Students often remember what they do more than what they read.

Instead of assigning another chapter summary, present a realistic problem that requires students to apply course concepts. Case studies encourage critical thinking and help students connect theory with practice.

Adult learners, in particular, often appreciate case-based learning because it allows them to draw on their professional experiences and compare new ideas with real-world situations.

3. Try the Jigsaw Method Online

The jigsaw strategy transforms students into experts.

Assign different groups different resources, topics, or perspectives. Each group becomes responsible for mastering one section of the content and then teaching it to classmates.

This approach promotes accountability and collaboration while reducing the tendency for students to rely solely on the instructor as the source of knowledge.

In online courses, students can create short videos, discussion posts, infographics, or presentations to share their expertise.

4. Conduct Structured Interviews

One strategy highlighted in the 2025 study is the three-step interview.

Students interview one another about a topic, summarize what they learned, and then share insights with a larger group. This simple technique promotes active listening, communication skills, and deeper understanding.

The activity works particularly well in graduate and professional programs where students bring diverse experiences to the learning environment.

5. Use AI as a Learning Partner

Generative AI tools create exciting opportunities for active learning when used thoughtfully.

Students can use AI to brainstorm ideas, simulate workplace scenarios, generate examples, critique arguments, or practice professional conversations. The goal is not to let AI do the thinking. Instead, students should evaluate, refine, and build upon AI-generated responses.

When used this way, AI becomes a tool for inquiry and reflection rather than a shortcut.

Why Active Learning Matters More Than Ever

Today’s students have access to more information than any previous generation. The challenge is no longer finding information; it is making sense of it.

Active learning helps students move beyond memorization toward higher-order thinking skills such as analysis, evaluation, and creation. These skills are increasingly important in a world where artificial intelligence can provide instant answers but cannot replace human judgment, creativity, or critical thinking.

Moreover, active learning helps create a sense of community in online courses. Students are more likely to remain engaged when they interact regularly with peers, instructors, and course content.

Final Thoughts

Online learning should not feel like watching an endless playlist of recorded lectures. The most effective online courses invite students to participate, collaborate, and apply their knowledge in meaningful ways.

As instructors, a useful question to ask is not, “What content should I cover?” but rather, “What should students do with this content?”

That small shift in perspective can transform an online course from a passive experience into an active learning community.

Reference

Rakha, A. H. (2025). Promoting online teaching through active learning strategies: Applications and innovations. Frontiers in Education, 10, 1546208. https://doi.org/10.3389/feduc.2025.1546208