Christopher Harrington, Ed.D. has served public education as a teacher, an administrator, a researcher, and a consultant for more than 25 years and has experience assisting dozens of school districts across the nation in the design and implementation of blended, online, and personalized learning programs. He has worked on local, regional, and national committees with iNACOL and various other education-based organizations aimed at transforming education through the use of technology.
Research indicates that online learners perform better when they have strong onsite mentor support. But mentors need support, too. Drawing on survey responses, this blog examines mentors’ current practices, key challenges, and unmet needs—and what those insights mean for designing more effective professional learning.
In a two-phase pilot across Michigan schools, educators used Khanmigo, an AI-powered tutor and teaching assistant, to explore how AI might support teaching and learning. Their reflections surfaced both opportunities and challenges. The big takeaway? AI has potential, but only with intentional support.
Cuccolo & Green’s (2025) report highlighted the relationship between students’ assignment submission patterns and final course scores. Given that pacing has important implications for student performance, knowing what assignment submission patterns look like across schools with varying demographics could help prompt early identification and intervention. As such, this blog explores students’ assignment submission patterns based on school-level demographic information.
In this blog, MVLRI researchers synthesize the key findings from two research studies about student assignment submission patterns in Michigan Virtual online courses.
By blending project-based learning with competency-based education, FlexTech aims to provide a personalized path to graduation, meeting both academic standards and students’ personal growth goals.