| Abstract Detail
Blended Learning and Educational Technology to enhance Biology Petersen, Christine [1], Anttila-Suarez, Carina [2], Gray-Mitsumune, Madoka [3]. Blended Learning and Educational Technology to enhance Biology. The theme is “Blended Learning and Educational Technology to enhance Biology”, a very current direction in education in both Canada and the USA. The various talks include the basics of educational technology (new pedagogical tools) as well as blended learning approaches (general) with specific biology examples. We feel this teaching symposium would be of broad interest for many conference participants. They will have a chance to learn about new teaching approaches in lab and “lecture “that they may adapt for their courses. We have proactively recruited several speakers who have confirmed interest in presenting on a variety of topics such as blended learning, emerging internet technologies, distance education and the “flipped” classroom. Some of the speakers are from Canada (CBA) and some speakers are from the USA Log in to add this item to your schedule
Related Links: • Educational technology integration Dr. Valerie Irvine • Emerging internet technologies and their effects on the classroom and institutions Dr. Heather Kanuka •• Counting the Forest and the Trees: Quantitative Undergraduate Biology Education and Synthesis (QUBES) Dr. Dorothy Belle Poli • Prelab videos, two stage lecture exam and other teaching approaches using technology Dr. Peter Arthur • Techniques and tools in quantitative biology Dr. John Jungck
1 - Thompson Rivers University, Biological Science, 900 McGill Road, Kamloops, BC, V2C 0C8, Canada 2 - Skyline College, Sustainability, 3300 College Drive, San Bruno , CA, 94066, USA 3 - Concordia University, Biology, 7141 rue Sherbrooke O, Montreal, QC, H4B 1R6, Canada
Keywords: Educational Technology Blended Learning QUBES.
Presentation Type: Symposium Presentation Session: SY04 Location: Salon 4/The Shaw Conference Centre Date: Monday, July 27th, 2015 Time: 1:30 PM Number: SY04SUM Abstract ID:12 Candidate for Awards:None |