• Learning and Development

Five AI Trends Shaping the Future of Education

The era of artificial intelligence in higher ed is here. So how can technology help smart institutions get even smarter?

 If you’re a higher education administrator, you might wonder how to best utilize AI for institutional goals. Whether that means personalizing learning, making content more accessible, improving administration, or innovating learning models, leveraging AI technology is top-of-mind for leaders.

 Here’s a snapshot of five ways AI impacts higher education today.

1. Predictive AI That Helps Student Retention

Higher education has long struggled with enrollment decline. Yet second to enrollment is a related priority: keeping students who do enroll on track to completion. How can AI help?

Institutions can now use AI to advance retention efforts. Predictive modeling, for example, integrates data analytics into generative AI solutions to forecast campus-wide insights for at-risk students.

One such solution, AIBLE, helps schools like Nova Southeastern University improve student retention and optimize student welfare. The solution analyzes student data to help administrators identify undergraduates most likely to leave–which then triggers intervention efforts.

While interventions for retention have traditionally been reactionary–that is, helping students in need after it’s clear they need help–predictive analytics reverses this. Instead, administrators can be proactive. And that means getting in front of support before it’s too late.

2. AI Engines That Craft Unique Learning Journeys–and Outcomes

In an increasingly diverse world of education, a one-size-fits-all approach to learning no longer suffices. And that’s true not just for learning modalities, but individual student goals and preferences.

Enter AI, the architect of personalized learning experiences. By analyzing individual student data–from engagement to completion and content–global education leaders predict AI engines will build infrastructure, “to help understand how to connect the dots to alternative credentials and smaller, more modular content experiences.”

Such engines might produce nuanced learning journeys. Micro-credentialing, for example, can grow to support this trend. If AI engines can craft content and course paths that resonate with individual students, institutions might also guide more optimal and varied levels of success.

3. AI-Generative Content That Increases Accessibility

Education should be a right, not a privilege. And AI is at the forefront of this mission, offering technology tools that address a spectrum of learners to create more inclusive learning environments.

 For students with learning challenges–from language barriers to diverse learning needs–AI can help level the classroom, ensuring every student gets an equitable shot at success. 

 Real-time captioning tools–like Panopto’s AI-powered language captioning for videos–ensure global student bodies from diverse backgrounds can engage video content seamlessly. For students with disabilities, tools like speech-to-text and text-to-speech help bridge the gap.

Flexible asynchronous learning and digital content improve accessibility and move instructional pedagogy toward a Universal Design for Learning framework. Leveraging AI to make content accessible to all learners can help institutions meet accessibility needs today.

4. Immersive AI Reimagining Traditional Classrooms

The classic classroom model is getting an AI makeover. AI-powered platforms offer immersive experiences, from virtual labs to simulations, allowing students to explore simulated learning environments. 

AI also ensures that students can get the help they need whenever and wherever they are. For example, 24/7 AI tutors provide round-the-clock academic support, ensuring students have access to help whenever they need it. 

The future of learning is not just digital; it’s intelligent, interactive, and incredibly innovative. Beyond the classroom walls, AI is expanding the horizons of what’s possible in education.

4. Data-driven Decisions

In the information age, data-based decisions can improve student outcomes and performance. AI can sift through vast amounts of student data, providing insights into performance trends that can ultimately be used to optimize your curriculum. 

 By analyzing student feedback and global academic trends, AI can suggest modifications to learning materials by tracking how often and for how long students engage with content in their LMS. These insights can fine-tune courses based on student needs and quickly spot learners needing extra help, driving personalized outcomes.

The Future of Smarter Institutions

For higher education, the AI revolution is not just a new trend but a radical shift that promises enhanced outcomes, streamlined administration, and more inclusive learning environments. 

Embracing it could mean the difference between merely keeping up and getting ahead.



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