Increasing Personalized Learning in Modern Classrooms

 

Personalized learning is gaining traction in the rapidly evolving education landscape. With the integration of technology and the push for more individualized instruction, educators seek ways to cater to each student’s unique needs and strengths.

In a recent episode of Unbox Innovation, a Boxlight Podcast, host Amy Chodroff sat down with Nick Gearing, Training and Development Specialist with EOS Education by Boxlight. The discussion revolved around the nuances of personalized learning, its potential benefits, and the challenges educators face in its implementation.

Gearing emphasizes increasing personalized learning is more than just creating individualized plans for each student. It encompasses elements of choice, diverse methods of knowledge demonstration, and varied ways of data collection. While some might associate it with accommodations for students with learning differences, Gearing clarified that it’s about tailoring instruction for every student, moving away from the “factory model” of education. He acknowledged teachers’ challenges, especially with large class sizes, but encouraged them to start small and build from there.

The conversation also touched on the role of technology in facilitating personalized learning. While tech tools can enhance the process, they aren’t the sole solution. Gearing highlighted the potential of AI-driven tools, like magicschool.ai, which can assist teachers in crafting individualized plans without being overly time-consuming.

The push for personalized learning is evident as the education sector continues to evolve. With the right tools, mindset, and strategies, educators can make learning more tailored, engaging, and effective for every student.

Recent Episodes

AI is everywhere—and it’s evolving rapidly. From predictive algorithms to large language models like ChatGPT, artificial intelligence is reshaping how we work, communicate, and learn. As schools explore AI in the classroom, educators and researchers are asking: Does AI really understand us? Or are we projecting human-like thinking onto systems that are fundamentally different? The…

A growing healthcare staffing crisis is forcing institutions to rethink how the next generation of clinical talent is trained. A study by Mercer and Lightcast, cited by the American Hospital Association, projects that the U.S. could be short of as many as 100,000 critical healthcare workers by 2028. This urgent gap is pushing innovators to…

As artificial intelligence becomes increasingly embedded in our everyday lives, AI and education are becoming more tightly intertwined. Many teachers and students are experimenting with AI in education, from personalized tutoring tools to automated lesson planning. While traditional edtech tools struggled to deliver on the promise of personalized learning, today’s generative AI appears poised to…