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Why AI-Driven Video Matters for The Future of Education—The Student’s Perspective

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A new era of education was virtually manifested in 2020. With all learning and social exchanges routed to a screen for more than a year, the pandemic made some significant and long-lasting impacts on schools and their students. Although this came with its challenges, many were overcome and advantages were also discovered as innovations in technology rose to the occasion with learning from home. 

The incorporation of various different apps, platforms, and dashboards has helped to keep students engaged—despite the caveats of learning digitally. Many of these adaptive implementations helped to widen the scope of what online education can offer. What is more, a survey even showed 55% of parents believe that digital schooling is conducive to their child’s learning style. Let’s take a look at how one particular digital tool, Artificial Intelligence (AI)-driven video, is increasing the possibilities in remote schooling for students. 

AI driven video to help invigorate learning

In the remote learning world, the need for variety in a student’s day is vital to combat screen-based fatigue. A video brings images to life, which is already a major advantage when it comes to offsetting the challenge of engaging attention for long periods of time. With the application of AI, however, video can go even further—shifting it from a passive form of media that you simply watch to something that you can engage with.  

Ziotag makes video an asset that students can control through an actionable table of contents, allowing for dynamic engagement in searching for information and answers in school. With Ziotag’s visual content gallery, users can jump to the clips they need in that moment of learning and not waste time on irrelevant material. Students no longer have to toil through an hour-long video just to get to the five-minute section they need to answer a question—whether that be on a worksheet or in their head. 

 

This opens up the capacity for better comprehension because students can go back to the things that piqued their interest or that they found confusing, increasing the retention of their learning. Using what we like to call ZioNotes™, students can use AI-driven video the way they use Cliff’s Notes today, curating their own collection of helpful clips to make content more easily discoverable. This results in understanding things in the ways that make the most sense for the individual, and encourages students to bolster their own learning.

 With a more commonsensical platform for gathering content, a student’s interaction with their screen is more effective. Learners can determine in an instant if there’s anything else of value where they are and thereby be more proficient with their time. This capacity can help with many of the larger challenges that have occurred since the transition to online learning—mainly in gathering content, helping to improve the retention of information, and bandwidth issues like distracted attention spans. 

Advancing the future of student learning

AI-driven video can expand the discovery in a student’s workday. With the capacity to search and find a variety of topics related to a subject in video format—a homework assignment can be brought to life.

For example, let’s say a teacher has a lesson plan on marine life. Rather than simply reading a textbook on what’s under the sea, students have access to a curated collection of media that adds breadth, depth, and context. Scholarly journals, classroom lecture videos, TED talks, and videos of the subject in real life can all be assembled to deliver relevant assets that truly involve students in their education. What’s more is that experiential learning can even be brought in by finding an expert, like a marine biologist in this example, to call via Zoom—allowing students to ask questions about what they learned in real-time. 

In higher education, this allows for the customization of degrees, no matter the level. Majors, minors, and specializations can all be form-fitted to the individual via various types of pertinent media in a student’s learning. This allows those in university to flex their autonomy and through AI-driven video find the content they are interested in, or even the content they need to further their education and career. 

 For all of the reasons listed above, AI in video can have a huge impact on the virtual classroom. Implementing Ziotag can be a determinate metric in how well students learn, as it can breathe life into content, curriculum, and learning—even if it is via a screen. Stay tuned for our blog next week where we explore how AI in video improves specific types of learning styles. 

 

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