2026 ASEE Annual Conference & Exposition

Elevating Engineering Education through Adaptive Learning: Building an Interconnected Spine of Courses and Faculty Readiness Models

Presented at Educational Research and Methods Division (ERM) Poster Session

This work-in-progress paper presents a collaborative initiative focused on advancing adaptive learning (AL) integration in undergraduate engineering education across three institutions—North Carolina A&T State University, North Carolina State University, and the University of North Carolina at Charlotte. The project aims to elevate student learning and institutional capacity by developing an interconnected spine of AL courses and readiness models for faculty and institutions.

The proposed “spine” links Statics, Dynamics I, and Dynamics II through the Realizeit adaptive platform, enabling cross-course prerequisite support, consistent concept progression, and unified analytics. This framework personalizes instruction, providing just-in-time remediation and automated interventions that support students with diverse learning backgrounds. Through quantitative and qualitative evaluation, the project investigates how AL-driven interventions influence performance, engagement, and equity—particularly for underrepresented and first-generation students in engineering.

A complementary faculty and institutional training program supports sustainable AL adoption. Readiness assessments, competency models, and coaching modules guide faculty in adaptive pedagogy, content design, analytics interpretation, and student engagement strategies. Institutional readiness and deployment guides are also being developed to address technical, administrative, and policy requirements for scaling AL practices.

This presentation outlines the project’s research design, implementation framework, and early outcomes from pilot integration efforts. By connecting adaptive courseware across multiple universities and fostering faculty development, this initiative seeks to create a replicable model for personalized, data-driven instruction that enhances student success, promotes inclusivity, and transforms the engineering learning experience.

Authors
  1. Dr. Amirhossein Ghasemi University of North Carolina at Charlotte [biography]
  2. Dr. Katherine Saul North Carolina State University at Raleigh [biography]
  3. Kiran Budhrani University of North Carolina at Charlotte [biography]
  4. Dr. Elise Demeter University of North Carolina at Charlotte [biography]
  5. Dr. Robert S. Keynton Orcid 16x16http://orcid.org/0000-0001-5581-0500 University of North Carolina at Charlotte [biography]
Note

The full paper will be available to logged in and registered conference attendees once the conference starts on June 21, 2026, and to all visitors after the conference ends on June 24, 2026