1. How to learn online Meeting #1 August 1, 2012 414 ERB

2. Student cohort Pre-freshmen attending UW-COE Anyone planning an online learning experience SOAR – After SOAR have NetID – Claim intent for major

3. Course format online

4. Learning outcomes Proficiency to navigate and use CMS and other learning tools, Skype, LiveMeeting, MS Office Proficiency to navigate and use multiple engineering tools Proficiency to take high stakes online quizzes Proficiency to develop personal strategy for effective and efficient online learning combined with classroom learning—i.e. blended learning, where does 20 hours come from, support system, study skills Structured thinking Get a credit once here 20 hours before, 20 hours at winter break

5. Course features I CMS—eCOW2 or whatever Online lectures – Perhaps different formats Online textual content – Examples and exercises Online quizzes over lecture material and textual content Online search and tools—Google, Wolfram Alpha Scheduled deadlines after course is started – Perhaps using SOAR schedule as guide

6. Course features II Equivalent of 5 traditional course meetings Ratio of 3:1 out of class preparation to in-class meeting implies 20 hours of total activity in 10 total days end-to-end Include real academic content that must be learned at a pace typical of an engineering course. Emphasize the intensity of this.

7. Syllabus Technology enhanced learning I – Technology details Technology enhanced learning II – Blended learning approach—why are you doing this Blooms taxonomy Online vs classroom activity Academic topic Lesson I—feeder into 160, 102 Academic topic Lesson II Academic topic Lesson III Student adviser, guide, support system

8. Technology Enhanced Learning I Personal computer, OS, video formats Internet, bandwidth Web browsers, URL Search tools Remote login Tethered software Forums Security Glossary

9. Technology enhanced learning II

10. Academic topic I Personal plan Time management Personal study skills, structured thinking Alcohol management Quantitative analysis Predictor data for success Shop training for EGR 160

11. Academic topic II

12. Academic topic III