Come Adapt With Me!

Concurrent Session 8

Session Materials

Brief Abstract

Adaptive learning uses continuous assessment to provide individualized learning paths for students and is built upon the foundation of sound pedagogical theory, learning sciences, machine learning, evidence-based teaching practices, and strong design principles.  Attendees will participate in a collaborative micro-adaptive lesson, so please bring your mobile devices.

Presenters

Dr. Deborah Taylor is a faculty affiliate at the University of Kansas and teaches the foundation course for the OLC’s Online Teaching Certificate Program and facilitates the OLC’s Adaptive Learning, Learning Analytics, and Data Visualization workshops. She enjoys presenting at conferences and workshops where she shares her passion for online learning and teaching technologies. After many years teaching undergraduate biology in the face-to-face classroom and online, Deborah received the coveted 'Henry Louis Teaching Excellence Award' in 2011, the NISOD Teaching Award in 1996 and 2016 has a number of 'Who’s Who Among America’s Teachers' listings. Deborah’s Ph.D. is in Educational Technology from the Educational Leadership and Policy Studies at the University of Kansas where she conducted a multinomial logistic regression analysis to obtain odds ratios for online course interactions and their relationships with student engagement and success. Deborah graduated from the EDUCAUSE Learning Technology Leadership Program and holds a Blended Learning Designer Certificate from the University of Central Florida. Deborah was the primary author for Chapter 2: Adaptive and Personalized Learning in Innovative Learning Environments in STEM Education - Opportunities, Challenges and Looking Forward, J. Ryoo and K. Winkelman (2021). The PDF is available for download and the book can be purchased through Amazon.'

Extended Abstract

 Extended Abstract:

There is great concern that higher education is not meeting the needs of our diverse students. Adaptive learning programs have been shown to promote equity in the classroom by leveling the playing field for academically disadvantaged students who would be unlikely to be successful in their courses without these tools. The personalized adaptive assignments can identify knowledge gaps and direct the delivery of content that provides a learning experience to fill those gaps yet doesn’t require the student to spend time working on content that they have already mastered.

What is adaptive learning?  Every Learner Everywhere defines adaptive learning as a methodology for teaching and learning that strives to personalize lessons, readings, practice activities, and assessments for individual students based on their current skills and performance. Neither adaptive nor personalized learning is a new concept in education, but the affordances of machine learning, computational methods, and big data have now made it possible to bring them to scale and humanize learning for students. Adaptive learning is a learner-centered, machine-mediated technology that creates individualized learning paths for students. One of the main characteristics of adaptive learning is the delivery of robust and varied content as determined by learning objectives followed by continuous assessment and adjustment directed by the results of those continuous assessments. Adaptive learning is built upon the foundation of sound pedagogical theory, learning sciences, machine learning, mastery learning, strong design principles, immediate feedback, scaffolding, and metacognition in conjunction with media-rich content delivered in an interactive format that promotes self-efficacy, student engagement, and student success.

You will have the opportunity to collaboratively work through a micro-adaptive lesson that I have built in order to experience the adaptive learning process.

Additionally, I will provide a few "guided tours" in some selected adaptive learning programs that are currently being used to provide the personalized and adaptive approach to enhance learning.

Level of Presentation:

Individuals attending this session will participate in a micro-adaptive lesson using an audience response system. Please bring your mobile devices and join me in an education exploration.

Session Goals:

After participating in the adaptive lesson, attendees will be able to explain the pedagogical and design elements upon which personalized and adaptive learning is built.  They will also be able to identify how adaptive and personalized systems can promote equity in the classroom.