Part of the Curriculum Integration Series
Target Audience:
Any interested educator or technology specialist.
Requirements for Participation:
This program is open to MAGPI members with H.323 videoconferencing capabilities.
This seminar is an overview of Internet2/MAGPI and distributed learning over advanced networks. Find out what educators are currently doing with their connectivity and what resources are available to MAGPI members. Participants will understand the structure and function of MAGPI within the tri-state region and Internet2 community. After gaining knowledge of the various types of Internet2 applications, participants in this session will analyze their own learning environments and how high-performance networking applications could enhance the teaching and learning that happens at their institution. Participants are encouraged to come with lots of questions - - the more interactive the discussion, the more informative it will be!
Please note that all participants (or small groups of participants) should have access to a computer with Internet2/MAGPI access during this training session.
Seminar Objectives:
- Participants will understand the structure and function of MAGPI within the tri-state region and Internet2 community.
- Participants will have knowledge of the various types of Internet2 applications, and analyze the implications of high-performance networking applications in their own institutions.
Program Outline:
- Welcome/Introductions (5 Minutes)
- Collaborative "Ideal Learning Environment" Exercise (10 Minutes)
- Overview of MAGPI/Internet2 (20 Minutes)
What is it? What can you do with it?
- Applications Virtual Tour! (45 Minutes)
Videoconferencing, Remote Instrumentation, Virtual Reality, Simulation and Digital Library Sources
- Where to get started? (20 Minutes)
The Price is Right… FREE! MAGPI Programs and K20 Community, Internet2 K20 Initiative and Other Resources
- Discussion (20 Minutes)
What are the possible implications in the classroom? Teaching, Learning, Student Engagement and Project-based Learning