#83 Can Flexibility Hurt Online Learners? What Pacing Data Reveals with Kristen DeBruler

In this episode of Why Distance Learning, your hosts talk with Kristen DeBruler — Assistant Director of the Michigan Virtual Learning Research Institute — about what makes online learning work for K-12 students, and what quietly undermines it. Drawing on survey data from over a thousand virtual teachers and fresh findings on student and teacher AI perceptions, her work reveals where the conventional promises of online learning diverge from what the data actually shows. The episode centers on a tension that practitioners rarely name directly: the flexibility that makes online learning valuable for some students can work against those who are still developing the self-regulation skills to use it well.

Together, the hosts and Kristen explore how a researcher inside a state virtual learning organization sets and pursues a research agenda — including the unusual advantage of having direct access to student data. They examine common failure modes in classroom-level research, particularly how vague research questions leave teachers vulnerable to the biases they're trying to surface. Kristen walks through her team's findings on the gap between how students and teachers define acceptable AI use, and why that ambiguity is already showing up in the classroom. The conversation turns to teacher feedback as the connective tissue of asynchronous online learning — and what the data shows about what makes it work and what makes it hollow. And Kristen makes a pointed case about applying adult learning research to K-12 populations: the data doesn't transfer as cleanly as the field sometimes assumes, and the consequences land on students who are still building the executive functioning skills that adult learners already have. Her pacing research is illustrative: students who cross unit boundaries — not just move around within one — end up with final grades 9.5 points lower on average, a gap large enough that teachers should treat it as a warning signal, not background noise.

Key topics:
  • Researcher role inside a state virtual learning organization
  • Setting a research agenda: legislative directives vs. internal needs
  • Avoiding bias in classroom-level research
  • The AI acceptable-use gap between students and teachers
  • Teacher feedback as the primary relationship-building mechanism in async courses
  • What makes feedback substantive (personal, formative, actionable) vs. hollow
  • AI-generated feedback and trust erosion in online learning
  • Student pacing deviation and its effect on learning outcomes
  • Executive functioning support for K-12 online learners
  • Cautions in applying adult learning research to adolescents

Links & Resources

Guest Bio: Kristen DeBruler
Kristen DeBruler is the Assistant Director of the Michigan Virtual Learning Research Institute, where she has spent more than 14 years studying K-12 online learning — including student pacing, teacher communication, mentor support, special populations, and AI use in virtual environments. Her research is oriented toward practitioners: she publishes findings in formats designed for teachers, administrators, and program leaders to act on, not just cite. She holds a PhD in Educational Psychology and Educational Technology from Michigan State University.

About the Hosts
Seth Fleischauer is the founder of Banyan Global Learning and host of Why Distance Learning. Through Banyan, he designs live virtual programs that connect K-12 classrooms to global peers and expert facilitators — building the kind of structured, human-centered distance learning the podcast explores. See https://banyangloballearning.com/
Tami Moehring and Allyson Mitchell work with CILC, the Center for Interactive Learning and Collaboration, to help educators implement high-quality live virtual learning experiences across grade levels. Discover more at CILC.org.
#83 Can Flexibility Hurt Online Learners? What Pacing Data Reveals with Kristen DeBruler