Next-Generation Technology Impacts on Quality in Online Learning
A Rating Tool for Online Textbook Supplemental Learning Materials
Jean Taylor, senior Director Assessment and Program Evaluation SLA, Excelsior College
My Doctoral degree is from the University of NY at Albany in Education, Theory & Practice.
I have been actively teaching adult students in both face to face and online courses for many years.
Margie Dunn, Program Director Mathematics, Geology and Physics, Excelsior Colege
Dr. Margie Dunn is Program Director of Geology, Mathematics, and Physics at Excelsior College. She received her doctorate in Math Education from Rutgers University, and has taught mathematics, mathematics education, and computer science at colleges and universities in New York and New Jersey, including SUNY Albany, Rensselaer (RPI), and Rutgers.
The presenters will show a rating scale developed to efficiently review and evaluate online tools offered by publishers of math and science texts. The rating scale is derived from the QM Rubric Standards and best practices for online course development. It focuses on supporting student success by identifying the latest technologies that add maximum value to the course and learning experience at the lowest possible cost. The participants engage in an interactive application of the rating scale.
Learning Objectives
Utilize the rating scale results to identify the most appropriate and cost effective third party content and services for attendees' courses.
Identify ways to modify the rating scale to fit attendees' needs.
More easily prepare attendees' courses to meet QM Standards before a review.
Audience: Faculty 
Audience: Administrator
Audience: Instructional Designer