Showing posts with label Online Learning. Show all posts
Showing posts with label Online Learning. Show all posts

Thursday, June 25, 2026

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

Wednesday, August 27, 2025

Danmaku in Online Learning: Turning Lonely Study Sessions into Lively Conversations

 


By Xi Lin

 

Picture this: You’re watching an online lecture, alone in your room, trying to stay focused while your phone buzzes temptingly nearby. Suddenly, a stream of floating comments glides across the video: someone cracks a joke about the professor’s example, another student drops a link to a helpful article, and a third points out a mistake in the slides. You’re not just watching anymore—you’re part of a conversation.

 

That’s the magic of danmaku—real-time (or pseudo-real-time) on-screen comments—that researchers Yixuan Zhu, Xi Lin, Jinhee Kim, Ahmad Samed Al-Adwan, and Na Li explored in their study on how it can boost online self-regulated learning (OSRL).

 

The Problem: Asynchronous Learning = Asynchronous Loneliness

Online self-paced courses give students flexibility, but they often strip away something essential—social interaction. Without peers to bounce ideas off or instructors to nudge you forward, it’s easy to feel isolated and disengaged. And disengagement leads to one thing: higher dropout rates.

Enter danmaku. Popular on platforms like Bilibili, it lets viewers comment directly on specific moments in a video—so even if you’re watching later, it feels like your classmates are right there with you. But could this playful, chatty tool actually help students learn better?

 

The Experiment: Danmaku Meets Self-Regulated Learning

The team surveyed 100 university students (and interviewed a few brave volunteers) who used danmaku while watching educational videos. They wanted to know:

  1. Why do students interact with danmaku?
  2. How does it affect their ability to manage their own learning?

Students’ motivations boiled down to three big ones:

  • Information and Entertainment: “Some danmaku give extra info the teacher didn’t cover… plus, funny comments make studying less boring.”
  • Social Connection: “When I see others learning with me, I feel less lonely.”
  • Self-Expression: “If I spot something missing or wrong, I’ll add my take.”

Peer pressure? Surprisingly low on the list—turns out, students didn’t feel forced to join in; they just wanted to.

 

The Good, the Better, and the “Wow, I’m Actually Engaged”

Boosted Engagement: Students stayed more focused when they could respond to danmaku in real time.
Stronger Reflection Skills: Commenting encouraged them to think critically and synthesize ideas.
Self-Efficacy Boost: Helping others or getting replies built confidence.
Community Feel: “The comment section feels like a classroom without walls.”

One student summed it up:

“If I can answer a question and get a reply from the teacher later, I feel more motivated to keep learning.”

 

The Catch

Not all interactions are equally helpful.

  • Some students ignored instructor replies if they weren’t immediate.
  • Low-value comments (spam, off-topic chatter) could distract.
  • Without guidance, discussions sometimes stayed surface-level.

 

The Big Takeaway: Interaction Feeds Motivation

The study found that responding and reflection strategies were the most powerful for boosting self-efficacy—and that self-efficacy, in turn, made learning more enjoyable. It’s a feedback loop: the more confident students feel in contributing, the more they enjoy participating, and the more they participate, the more confident they become.

 

Try This in Your Online Class

If you’re a teacher designing video-based lessons:

  1. Seed the conversation: Post thought-provoking or clarifying questions in danmaku.
  2. Highlight student contributions: Recognize helpful comments in follow-up videos.
  3. Set community norms: Encourage useful, respectful, and creative contributions.
  4. Review and adapt: Use danmaku analytics to tweak your teaching.

 

Final Thought: Danmaku Won’t Replace Teachers… But It Might Replace the “Lonely Scroll”
This study shows that danmaku isn’t just a gimmick—it’s a bridge between solitary study and social learning. In the words of one participant:

“Even if we’re not in the same room, the danmaku makes me feel like we’re learning together.”

By turning passive watching into active engagement, danmaku can make asynchronous learning feel a lot more alive.

 

Reference

Zhu, Y., Lin, X., Kim, J., Al-Adwan, A. S., & Li, N. (2025). Exploring Human Interaction in Online Self-Regulated Learning Through Danmaku Comments. International Journal of Human–Computer Interaction, 1-14. https://doi.org/10.1080/10447318.2025.2480826