Academic Computing offers several modes of training and support for faculty and course developers:
Scheduled throughout the semester, these sessions focus on specific topics such as the Blackboard gradebook, creating discussion forums, using rubrics, and managing content.
Fall 2013 Schedule:
On specific days of the semester, faculty are invited to walk-in at any time to seek help for their online/hybrid course development, course redesign, using Blackboard Learn, Bb Collaborate and other teaching & learning applications, or related instructional technology questions.
Fall 2013 Availability:
No registration required, but appointments recommended.
BBLRN100 is intended for anyone who is currently teaching or will teach online or hybrid courses through BSU Online. It is a self-paced course; therefore each participant is her or his own master in the selection of course modules and schedule of learning. It covers basic to intermediate aspects of content creation, course communications, collaboration teams, assessment, grade center and performance dashboard. Materials from the Blackboard Training Center have been organized in instructional sequences with instructions for hands-on-activities. Accessed via Blackboard.
Sponsored by the Center for Excellence in Teaching and Learning, the LOTTO Institute is a week-long, summer faculty development experience for 15 faculty participants that provides a collegial environment for exploring online teaching and learning. Workshops on various learning management system and live classroom tools are provided as well as advanced workshops on emerging technology and social media, best practices in technology and online pedagogy. Participants also receive personalized support and hands-on opportunities to develop their courses. Faculty who attend all LOTTO sessions and complete all LOTTO activities will receive a certificate of completion.
The next session is scheduled for June 2014. The institute is limited to 15 faculty for personalized attention, and it is therefore essential that instructors indicate their interest as soon as possible.