Empowering Universal Design for Learning | Vivian Tzu-I Chiang, Ph.D. | TEDxValparaisoUniversity

TL;DR

With the help of AI, schools can overcome challenges in providing personalized learning by consolidating data from school administrators, teachers, and students, leading to better predictions, increased enrollment rates, and improved marketing strategies.

Transcript

that's begin with a myth about education which is that schools are trapped in a one- siiz fits-all paradigm how many of us are making this assumption based on the traditional academic model that we grew up in because with my firsthand experience as a teacher the majority of the teachers are actually embracing the universal desire for learning which... Read More

Key Insights

• 🧑‍🏫 Teachers are embracing personalized learning through various engagement methods and assessment options.
• 🫵 Scattered data across stakeholders hinder a holistic view of a student's learning journey.
• ☠️ AI can consolidate data to improve predictions, enrollment rates, and marketing strategies.
• ❓ Timely outreach significantly boosts enrollment in online programs.
• 👨‍🏫 Unexpected factors, like distance to school, can influence enrollment decisions.
• 🤔 AI can foster creative thinking in classrooms through prompt engineering.
• 🤔 Effort and process are emphasized through mandatory thinking periods.

Questions & Answers

Q: How are teachers embracing personalized learning in schools?

Teachers are providing multiple ways to engage with students, such as different content representations and assessment options. Additionally, they take the time to build personal connections with students, understanding their potential and changing lives in unexpected ways.

Q: What is hindering the success of personalized learning in schools?

The scattered data across school administrators, teachers, and students limit their ability to see the whole picture of a student's learning journey. This makes it challenging to answer questions about program fit and aligning interests with the real world.

Q: How can AI help increase enrollment rates?

AI can analyze data to pinpoint students serious about starting classes and enable academic advisers to reach out at the most effective time. The data reveals that the first contact within the six to seven days significantly boosts online program enrollment.

Q: How can AI improve marketing strategies in education?

AI can identify unexpected factors that influence enrollment, such as the distance to the school for online engineering students. Institutions can use this insight to launch local campaigns or events to attract more students. This has been shown to increase enrollment rates.

Summary & Key Takeaways

• Schools are not trapped in a one-size-fits-all paradigm, as many teachers are embracing personalized learning through multiple engagement methods and assessment options.

• The challenge lies in the scattered data across school administrators, teachers, and students, making it difficult to obtain a holistic view of a student's learning journey.

• AI can be leveraged to consolidate data, leading to improved predictions, increased enrollment rates, and better marketing strategies in education.