AESA Perspectives Journal
After thoughtful consideration, AESA has made the decision to discontinue Perspectives Journal. This change aligns with our evolving communications strategy and our commitment to exploring new, more dynamic ways to share member stories and research. Many of our members are now publishing thought leadership on other platforms, and we encourage you to continue doing so. Please contact Claire Sowder when your work is published so she can share it with the AESA network.
Although new issues will no longer be produced, the Perspectives archive will remain available and searchable on the AESA website, preserving the journal’s legacy and continuing to serve as a valuable resource for our members.
Machine Learning Methods for K-12 Early Warning Systems by Michael L. Fuller, Muskingum Valley Educational Service Center and Mackenzi Brozovich, Muskingum Valley Educational Service Center In educational settings, an early warning system (EWS) identifies students who are at-risk for one or more adverse educational outcomes related to student achievement, progression, and graduation. Specific examples include…
Read MoreAbstract Crisis response work in our schools is a necessary service as an educational setting must be stable and free from disturbance in order for meaningful learning to take place. Now more than ever, our efforts to ensure that educational environments are fortresses of safety and acceptance have become a paramount concern within American schools.…
Read MoreA Partnership between Pittsburg State University and Greenbush Education Service Center By Dawn R. Martin, Pittsburg State University In this edition of Perspectives, the author Dawn Martin examines the “pipeline” for future education leaders via a research project involving a University-ESA partnership. Kansas, along with the rest of the United States, is experiencing increasing turnover in…
Read MoreThis is Part II of a two-part series about AI and the ESA By Thomas Collins and Susan Leddick “AI will be economically significant precisely because it will make something important much cheaper. What will AI technologies make so cheap? Prediction.” “Organizations can exploit prediction machines by adopting AI tools to assist with executing current…
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