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The Great Online Learning Reset: Transforming Education in a Digital World for Better Engagement and Success

agentic AI, Continuous Learning, education technology, instructional design, learning effectiveness, Online Learning, professional development

In recent weeks, agentic AI tools have gained attention for completing online training courses independently, raising concerns among educators about academic integrity and security. However, the issue lies not in cheating but in recognizing that traditional online learning models are ineffective. Research shows that separating theory from practice leads to poor retention and skill application. Instead of fearing AI, we should leverage it to create enhanced learning experiences that integrate real-world application. The future of education involves AI-driven frameworks that provide real-time feedback and promote continuous learning in the flow of work. This new approach could transform online learning and better prepare professionals for real-world challenges.



As the world of Learning and Development (L&D) evolves, recent advances in agentic AI tools have sparked widespread discussion. These tools can autonomously complete training courses in record time, answering questions, submitting assignments, and even joining online discussions. While some educators are rushing to block these AIs, it raises an important question: Should we worry about integrity, or should we focus on enhancing learning effectiveness?

This week, I want to highlight a critical perspective: the rise of agentic AI is not destroying online learning—it’s exposing its biggest flaws. For years, the traditional method of asynchronous learning, often based on content and quizzes, has been under scrutiny. Research shows that many of these systems fail for several key reasons:

  1. Cognitive Decoupling: Online training often separates theory from application, leading to gaps in real-world application. Skills learned in isolation can take significantly longer to retain compared to those learned through practice.

  2. Assessment Through Proxy Metrics: Quizzes mainly measure recall rather than actual competency. Surprisingly, many employees who score high on compliance tests demonstrate much lower proficiency in real workplace situations.

  3. Temporal Discontinuity: Without immediate application, most knowledge fades quickly. If learning isn’t practical and timely, it ends up being wasted effort.

Agentic AI tools are not merely exploiting the system; they are unveiling the truth that our traditional online learning methods haven’t effectively measured genuine learning. This reality urges us to rethink how we design learning experiences.

We can adopt agentic AI as a catalyst for creating more effective learning environments. Imagine a world where training merges theory with practical application. Emerging platforms could incorporate AI "coaches" to guide learners through real-world scenarios. For example, platforms like Khanmigo and Duolingo could evolve into dynamic workplace support systems, offering personalized feedback and learning on the job.

Looking ahead, assessments will shift from quizzes and simple metrics to more sophisticated methods. Instead of in-the-moment recall tests, we might see:

  • Behavioral analytics: Observing decision-making in real or simulated environments.
  • Work product analysis: Evaluating actual work like code or design portfolios.
  • Collaborative validation: Using peer reviews enhanced by AI oversight.

As we embrace these technologies, the divide between online and in-person training will blur. Rather than relying solely on traditional classrooms, AI could augment the in-person experience with data-driven insights, enabling deeper, focused learning.

In summary, the disruption caused by agentic AI provides us with a valuable opportunity to redesign learning for the better. Rather than trying to regulate or block these tools, we should make educational systems more flexible and effective, focusing on real-world skill application and continuous reinforcement.

Together, we stand on the brink of a new era in learning, allowing AI to enhance our educational journeys rather than hinder them.

Phil

Tags: Learning and Development, agentic AI, online learning, AI tools, education technology.

What is The Great Online Learning Reset?

The Great Online Learning Reset is a movement aimed at improving the way we learn online. It focuses on making online education more effective and engaging for students, helping them get the most out of their learning experience.

Why is online learning being reset?

Online learning is being reset because many people found challenges during the pandemic. There were issues like lack of engagement, technical problems, and not enough personal interaction. The reset aims to address these issues and create better online education practices.

Who is involved in The Great Online Learning Reset?

Educators, students, institutions, and tech companies are all involved in this initiative. They work together to share ideas, tools, and strategies to enhance online learning for everyone.

How can I participate in The Great Online Learning Reset?

You can participate by joining online discussions, attending webinars, or sharing your experiences and ideas about online learning. Many organizations offer resources and platforms where you can get involved.

What benefits can I expect from better online learning?

With improved online learning, you can expect a more engaging and interactive experience. This could mean better access to resources, more support from teachers, and enhanced communication with fellow students, making learning both fun and effective.

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