Program Outline
Preface
Preface to the Proceedings by Robert Gould
Monday, July 2
How can technology best be used to provide resources to teachers of statistics? What qualities should a resource possess? Can strong resources improve the teaching of statistics? What are the challenges in providing teachers with resources?
| 8:30 – 9:00 | Registration | ||
| 9:00 – 10:30 | Opening | ||
| 10:30 – 10:45 | Break | ||
| 10:45 – 11:45 | Nicholson, Ridgway, McCusker | Getting real statistics into all curriculum subject areas — can technology make this a reality? | paper |
| 11:45 – 13:00 | Lunch | ||
| 13:00 – 14:00 | Ridgway, Nicholson, McCusker | The Semantic web demands ‘new’ statistics | paper |
| 14:00 – 15:00 | Small Group Discussions | ||
| 15:00 – 15:15 | Break | ||
| 15:15 – 16:00 | Plenary Discussion Taerim Lee, Sharleen Forbes | ||
| 17:30 – 19:30 | Welcome Dinner | CAFA Theater & Lobby, University of San Carlos (transportation provided) |
Tuesday July 3
How can technology be used in the classroom to deepen understanding of statistical concepts and improve statistical reasoning?
| 8:30 | Announcements | ||
| 8:45 – 9:45 | Finzer | The Data Science Education Dilemma | paper |
| 9:45 – 10:00 | Break | ||
| 10:00 – 11:00 | Erickson | Designing Games for Understanding in a Data Analysis Environment | paper |
| 11:00 – 11:45 | Small Group Discussions | ||
| 12:00 – 13:30 | Lunch | ||
| 13:30 – 14:30 | Hernandez, Kataoka, Avila | The use of free web-based software to help statistics teaching | paper |
| 14:30 – 14:45 | Break | ||
| 14:45 – 15:45 | Budgett, Pfannkuch, Regan, Wild | Dynamic Visualization for Inference | paper |
| 15:45 – 16:30 | Small Group Discussions | ||
| 16:30 – 17:30 | Plenary Discussion Jennifer Kaplan, Oyelola Adegboye |
Wednesday July 4
How can technology be used to teach statistical practice?
| 8:30 | Announcements | ||
| 8:45 – 9:45 | Stern D, Coe, Stern R, McDermott | MSc Training in Research Methods Support | paper |
| 9:45 – 10:00 | Break | ||
| 10:00 – 11:00 | Baglin, Da Costa | A Theoretical Framework for Developing Statistical Package Competence as an Outcome of Statistical Literacy | paper |
| 11:00 – 11:45 | Plenary Discussion Ayse Bilgin, Zachariah Mbasu | ||
| 12:00 – 13:00 | Lunch | ||
| 13:00 – 18:00 | Metro Cebu Tour |
Thursday July 5
What do instructors of statistics need to know about technology, and how can they best be taught?
| 8:30 | Announcements | ||
| 8:45 – 9:45 | Krishnan, Idris | Challenges in using the graphics calculator in teaching statistics in a matriculation course | paper |
| 9:45 – 10:00 | Break | ||
| 10:00 – 11:00 | Hassad | Faculty attitude toward technology-assisted instruction for introductory statistics in the context of educational reform | paper |
| 11:00 – 11:45 | Small Group Discussions | ||
| 12:00 – 13:30 | Lunch | ||
| 13:30 – 14:30 | Stern D | Developing Statistics Education in Kenya Through Technological Innovations at All Academic Levels | paper |
| 14:30 – 14:45 | Break | ||
| 14:45 – 15:45 | Bedford, Baglin, Bulmer | Students’ Experiences and Perceptions of Using A Virtual Environment for Project-based Assessment in an Online Introductory Statistics Course | paper |
| 15:45 – 16:30 | Small Group Discussions | ||
| 16:30 – 17:30 | Plenary Discussion D.S. Hooda, Robert Molnar |
Friday July 6
How do we assess the affects of technology on statistical learning outcomes? What role does the choice of “suites” of technology play in affecting student learning?
| 8:30 | Announcements | ||
| 8:45 – 9:45 | Reston | An Outcome-based Framework for Technology Integration in Higher Education Statistics Curricula for Non-majors: Phillipine Context | paper |
| 9:45 – 10:00 | Break | ||
| 10:00 – 11:00 | Mocko | Selecting Technology to Promote Learning in an Online Introductory Statistics Course | paper |
| 11:00 – 11:45 | Plenary Discussion James Musyoka, Chita Evardone | ||
| 12:00 – 13:30 | Lunch | ||
| 13:30 – 15:00 | Small Group Reports and Wrap-up |
