Early Warning Systems and Targeted Interventions for Student Success

Recorded: July 06, 2022

In this session, we will examine current theoretical frameworks, research projects, and empirical studies related to the design, implementation, and evaluation of early warning systems and targeted interventions and discuss their implications for policy and practice.

During the session you will exposed to research and application on how to:

  • Use data to support predictions about your students’ abilities and actions.
  • Support students at the first signs of dropout risk
  • Make holistic inferences about what may cause students to drop out
  • Intervene early enough to successfully improve an outcome

If you are unable to attend the webinar, be sure to register to receive a link to the recording.

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Danny Glick, PhD
Presenter:

Danny Glick, PhDDirector of Pedagogical Implementation

Dr. Danny Glick is the Director of Pedagogical Implementation at Edusoft where he leads a team of EdTech implementation specialists. In his position as Pedagogical Implementation Director, he is responsible for the design, development, implementation and evaluation of technology-enhanced English language solutions. He has trained teachers and administrators in places as diverse as Costa Rica, Kazakhstan and Vietnam. Danny is a Research Affiliate at the University of California, Irvine’s Online Learning Research Center, where he explores ways to improve student persistence and performance in online courses using early warning systems and light-touch interventions. He has presented and published on various topics including self-regulated learning, early warning systems, targeted interventions, and student retention. Dr. Glick is the editor of “Early Warning Systems and Targeted Interventions for Student Success in Online Courses” and “Supporting Self-Regulated Learning and Student Success in Online Courses”. He holds a PhD in Learning Technologies and a Master’s degree in Curriculum & Instruction.