Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: May 24, 2026

Computerized Adaptive Testing System of Functional Assessment of Stroke

Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

Distributed adaptive simulation through standards-based integration of simulators and adaptive learning systems.

Bryan Bergeron¹, Andrew Cline, Jaime Shipley

¹Accella Learning LLC. Bryan@BryanBergeron.com

Studies in Health Technology and Informatics

|February 24, 2012

Summary

This summary is machine-generated.

Related Concept Videos

Statistical Analysis System (SAS)

Statistical Analysis System (SAS)

SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Comparison of AR, ITS, CBT, and Didactic Training and Evaluation of Retinopathy-Based Diagnosis.

Military medicine·2019

Same author

VR Technology.

The Physician and sportsmedicine·2017

Same author

Life history traits and life table analysis of Lobiopa insularis (Coleoptera: Nitidulidae) fed on strawberry.

PloS one·2017

Same author

Modular simulator building blocks: physiologic signaling requirements.

Studies in health technology and informatics·2014

Same author

Application of learning record stores and other forms of electronic competency records in modeling competency degradation.

Studies in health technology and informatics·2014

Same author

The application of technology for the creation of "retention profiles" for use in adaptive learning and the delivery of remedial material.

Studies in health technology and informatics·2012

We created a low-cost system integrating simulators with adaptive learning. This approach uses an electronic competency record and open-source tools for flexible courseware development.

Area of Science:

Educational Technology
Computer Science

Background:

Integrating simulators with traditional courseware presents cost and complexity challenges.
Adaptive learning systems offer personalized educational experiences but are often difficult to implement with existing simulation tools.

Purpose of the Study:

To develop a distributed, standards-based architecture for integrating adaptive learning systems with simulators.
To provide a low-cost, pragmatic solution for enhancing simulator-based training.

Main Methods:

Developed a novel architecture incorporating an electronic competency record.
Utilized open-source learning management systems (LMS) and microcontroller hardware.
Designed a standards-based approach for seamless integration.

Related Experiment Videos

Last Updated: May 24, 2026

Computerized Adaptive Testing System of Functional Assessment of Stroke

Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

Main Results:

The architecture enables effective leveraging of adaptive learning systems by simulators.
The system offers a pragmatic and low-cost alternative for integrating simulators with courseware.
Demonstrated the feasibility of using open-source components for advanced educational technology.

Conclusions:

The developed architecture successfully bridges the gap between simulation technology and adaptive learning.
This approach provides an accessible and cost-effective method for enhancing simulator-based education.
Open-source solutions are viable for creating sophisticated, integrated learning environments.