Abstract
This study represents an adaptive learning partnership among The University of Central Florida, Colorado Technical University, and the platform provider Realizeit. A thirteen-variable learning domain for students forms the basis of a component invariance study. The results show that four dimensions: knowledge acquisition, engagement activities, communication and growth remain constant in nursing and mathematics courses across the two universities, indicating that the adaptive modality stabilizes learning organization in multiple disciplines. The authors contend that similar collaborative partnerships among universities and vendors is an important next step in the research process.
Highlights
Introduction to AlgebraAnalytic College AlgebraTrends in Contemporary NursingStudents learn how to use symbols for numbers, basic transformations of algebraic expressions, linear relationships of real-life quantities, and solving quadratic equations
Students encounter a substantiality increased cognitive load in any learning environment where they must navigate a curriculum and select content. The system alleviates this issue with its Adaptive Intelligence Engine (AIE), a collection of structures, algorithms, and processes that help bridge the gap between the curriculum, content, and the learner
From the array of metrics collected by Realizeit, a small subset of key performance aggregate indicators becomes available for review within the system and may be exported to other analysis platforms
Summary
Introduction to AlgebraAnalytic College AlgebraTrends in Contemporary NursingStudents learn how to use symbols for numbers, basic transformations of algebraic expressions, linear relationships of real-life quantities, and solving quadratic equations. Students review basic algebra and continue to rational and radical expressions, functions, computation with complex numbers, and solving systems of linear equations with matrices and determinants. This course will prepare nurses for roles that can effectively respond to all the changes and challenges facing today’s health care environment; this includes completing a change management project. Given the high level of internal similarity of solutions for each institution, one can expect the solution for each entire sample to capture the course-level solutions quite well This can be verified by examination of the component-level Tucker congruence coefficients. The enthusiasm is likely to continue, with several national reports pointing to adaptive learning as one of the important and influential developments in education (Becker et al, 2017; Legon & Garrett, 2018; Office of Educational Technology, 2017)
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