The most effective use of emerging technology is in support of better online learning experiences for both students and faculty alike.

Reimagining online learning: How emerging technologies can better serve learners


The most effective use of emerging technology is in support of better learning experiences for both students and faculty alike

Key points:

Once considered a supplement to traditional classrooms, online learning now sits at the center of higher education’s innovation agenda. Institutions have made significant progress in expanding access and improving digital infrastructure. As learning modalities continue to evolve in both scale and sophistication, there is a growing opportunity to enhance how students engage with digital learning environments in ways that support equity, participation, and long-term success. 

Emerging technologies–such as generative AI, adaptive platforms, and immersive simulations–are opening the door to more responsive and personalized experiences. With thoughtful strategy and the right tools, institutions can turn online classrooms into spaces where students don’t just consume content, but connect ideas, practice new skills, and build real confidence in their learning.

This piece explores three areas where innovation is advancing online learning and offers guidance on how institutions can build on this progress.

Enhancing engagement with personalized and adaptive tools

Adaptive technologies are reshaping how students interact with online coursework by tailoring learning experiences to their individual needs. AI-powered platforms use real-time data to adjust pacing and content based on student progress and performance, helping them stay focused and supported throughout a course.

These tools also encourage student agency by allowing learners to work at their own pace and engage with materials in ways that suit their preferences. Interactive elements such as smart tutoring, automated check-ins, and modular content give learners a sense of control that strengthens both motivation and confidence. When students see their experience shaped by their input and progress, courses feel more personal, and students are more likely to stay engaged when they see their progress reflected in the learning experience.

 Faculty also benefit from insights generated by these technologies. Real-time data highlights where students are excelling and where they may need additional guidance. Instructors can use this information to provide timely and relevant touchpoints, enhancing the sense of connection and enabling more targeted support.  Institutional leaders can support this shift by embedding assessment reform into digital learning strategy–providing the right tools, training, and governance structures to support faculty.

Supporting universal access to emerging technologies

New tools like virtual labs, simulations, and AI-powered learning assistants help students move from theory to practice within digital environments. These tools create opportunities for hands-on engagement, allowing learners to experiment, explore, and build understanding through doing rather than only observing.

Experiential formats help students apply concepts in meaningful ways, reinforcing learning and supporting the development of transferable skills. For example, a virtual lab may allow a student to run repeated experiments safely and asynchronously, while a simulation might walk learners through professional decision-making scenarios. These formats also align well with competency-based education and microcredentialing, enabling students to demonstrate skills in real-world contexts.

Importantly, these technologies can also make learning more inclusive. Students with different schedules, backgrounds, or needs can access interactive and applied learning opportunities that may not be feasible in traditional settings. As more programs incorporate applied technologies, institutions should focus on infrastructure and inclusive design to make these innovations scalable and effective.

Rethinking assessments

Technology is reshaping assessment into a more continuous, learner-centered process. AI-powered feedback tools provide immediate insight into student performance, helping learners identify strengths, address gaps, and make adjustments as they progress. This real-time feedback supports reflection and persistence, reinforcing assessment as an active part of the learning journey rather than a final checkpoint. When students receive feedback they can act on immediately, they’re more likely to stay engaged and take ownership of their learning outcomes.

When formative feedback is clearly aligned with learning outcomes, students better understand the purpose behind each activity and how it contributes to long-term goals. LMS-integrated AI tools are increasingly helping faculty and instructional designers map assessments to course and program objectives, making this alignment easier to achieve and more scalable across departments.

Authentic assessments, supported by AI-generated prompts or simulations, allow students to engage in realistic tasks that connect learning to future careers—whether in healthcare, education, or business. Institutions can support this shift by encouraging outcome-aligned assessment design, expanding access to integrated tools, and equipping faculty with the training and support needed to use learning data to guide instruction.

Creating pathways to deeper learning

The most effective use of emerging technology is in support of better learning experiences for both students and faculty alike. With a focus on quality, access, and thoughtful design, institutions can use these tools to make learning more engaging, applied, and meaningful.

As higher education prepares learners for a world that is increasingly dynamic and interdisciplinary, the most valuable environments will be those that challenge students to think critically, solve problems, and make connections across contexts. Institutions that cultivate a culture of continuous improvement, strategic innovation, and inclusive practice will be well-positioned to lead in this evolving space. As we integrate more AI and automation into online learning, it’s essential we lead with a human-centered, ethical framework—one that amplifies, rather than replaces, the critical relationship between faculty and students.

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