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2 guides to support UDL course redesign: - faculty development workshop guide (2 hour) - UDL Institute Guide (one or 2 day) UDL-U supports postsecondary faculty and staff by providing resources and examples to improve postsecondary education for all students, including those with disabilities. UDL-U is designed to be useful for individual inquiries related to small UDL topics, issues, or problems, as well as scalable to larger faculty development efforts (e.g., faculty Learning Communities). UDL-U frames course redesign as a three-tier professional development process: 1. Application of UDL principles to enhance teaching and learning 2. Utilization of accessible instructional media and practices 3. Awareness of assistive technology enablers and barriers

Status of UCF (2nd largest univ in the US) blended learning and online learning systemic approach for quality to assure improvement - faculty development is required; social-constructivist paradigm and faculty engaged in action research; measure "student success" via grades earned A,B,C and blended does better with web-based or video-based; withdrawal and satisfaction rates nearly the same as f2f tho video has slightly higher; online learning benefits for students = convenience, reduced logistical demands, increased flexibility, information fluency; for faculty = professional devt, flexibility, teaching/research support; UCF expanded capacity, ability to serve students anywhere, buffers competition; online learning costs a little more but provides capacity equivalent to >$64M of classroom construction (which would have an annual operating cost of $4.1M = cost avoidance model), more efficient use of existing CR space, growth with quality

Kimberly Arnold (Purdue) on Signals, John Fritz (UM, Baltimore Co), Eric Kunnen (Grand Rapids CC) on Astro Fritz refers to his presentation at EDUCAUSE 2 years ago where he presented on using Blackboard user stats (for informing faculty/departments who then analyze it) in a panel with John Campbell of Purdue who had just come out with his Signals program. 5 stages of analytics on campus (extraction/reporting, analysis/monitoring, what-if scenario building, predictive modeling/simulation, automatic triggers of business processes)