Group items tagged

"An intelligent tutoring system is computer software designed to simulate a human tutor's behavior and guidance. Because these systems are able to interpret complex student responses and can learn as they operate, they are able to discern where and why a student's understanding has gone astray and to offer hints to help the student understand the material at hand. Intelligent tutors provide many of the benefits of a human tutor to very large numbers of students. Intelligent tutoring systems can also provide real-time data to instructors and developers looking to refine teaching methods."

Community of Practice Design Guide

ECAR Study of Undergraduate Students and Information Technology, 2014

"The Faculty Engagement Strategies Survey centers on faculty engagement in terms of 'educational technology strategies' and aims to collect information about how different administrators, staff and faculty at different institutions engage faculty and course instructors on the topic of effective use of educational technologies inside and outside of the classroom. The hope is that by collecting information on different strategies and their effectiveness we may all be able to make better, more informed decisions on this topic. Data is collected by sending out short monthly questionnaires on the CCUMC mailing list and three different EDUCAUSE mailing lists where a lot of educational technology professionals can be reached. The data collected each month is summarized and shared with the mailing lists. Feel free to explore the FAQ document in the left-hand menu for more information on the survey. You may also study the results of the different survey parts, which are listed under Results. You are welcome to contact the survey administrator Jacob E. Larsen (jlarsen@iastate.edu) if you have any questions."

"[I]f it becomes necessary to use remote synchronous class delivery, instructors should monitor how this mode of delivery impacts students, especially in the areas of participation and exam scores" (¶10).