Difference between revisions of "SOCR Events SOCR CAUSEway Workshop2007"

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Revision as of 15:51, 21 August 2006

SOCR Events - SOCR CAUSEway 2007 Workshop

Title: Pedagogical Utilization of SOCR and CAUSEweb Resources in Probability and Statistics Courses

Workshop Summary and Goals

The 2007 joint SOCR/CAUSEway continuing education workshop aims at demonstrating the functionality, utilization and assessment of the current UCLA, SOCR and CAUSEweb resources. This workshop will be of most value to AP teachers and college instructors of probability and statistics classes who have interests in exploring novel IT-based approaches for enhancing statistics education. The workshop will provide an interactive forum for exchange of ideas and recommendations for strategies to integrate computers, modern pedagogical approaches, the Internet and new student assessment techniques.

Presenters

Attendees

Workshop Attendees List

Logistics

We anticipate to be able to host 30-40 workshop participants for the 3-day event. All participants will be partially supported to attend the workshop (travel, accommodation), by the NSF-funded SOCR & CAUSEway resources.

  • Date: Mon-Wed, August 06-08, 2007
  • Times: AM & PM Sessions (9AM - 12PM & 1PM - 4 PM)
  • Venue/Place: Powell Library (CLICC Classroom B, Powell 320B)
  • Accommodation - UCLA Guest House
  • Local Information: Maps & local visitor information
  • To Apply: Please submit an application, including a cover letter, a current vitae and a statement of your expertise and philosophy of teaching with technology (we are in the process of developing the web-based application form). Women, minorities and persons with disabilities are encouraged to apply.

Program

Day 1 (Mon 08/06/07)

Morning Session - Distributions (8AM - 12PM)

  • Registration and Coffee (8:00 - 9:00 AM)
  • Welcome and State of the SOCR Resource, Ivo Dinov, SOCR Director (9:00 - 9:30 AM)
  • SOCR Distributions - Overview and Class Utilization, TBD (9:30 - 10:30 AM)
  • Break (10:30 - 10:45 AM)
  • SOCR Distribution Activities, Juana Sanchez (10:45 - 11:15 AM)
  • Interactive Discussion on Distributions - What works, what doesn't, how to extend the collection and how improve teaching of discrete and continuous distributions (11:15AM - 12:00 PM)

Lunch Break (12:00 - 1:00 PM)

Afternoon Session - Experiments & Games (1PM - 4PM)

Day 2 (Tue 08/07/07)

Morning Session - Analyses (9AM - 12PM)

  • SOCR Analyses - Overview and Class Utilization, Ivo Dinov & Annie Che (9:00 - 10:00 AM)
  • Break (10:00 - 10:15 AM)
  • SOCR Analyses Activities, Juana Sanchez & Nicolas Christou (10:15 - 11:15 AM)
  • Break (11:15 - 11:30 AM)
  • Group Interactive Discussion on Analyses - What works, what doesn't, how to extend the collection and how improve teaching of statistical analysis methodologies? (11:30AM - 12:00 PM)

Lunch Break (12:00 - 1:00 PM)

Afternoon Session - Modeler (1PM - 4PM)

  • SOCR Modeler - Overview and Class Utilization, TBD (1:00 - 1:30 PM)
  • SOCR Modeler Activities, Juana Sanchez & Nicolas Christou (1:30 - 2:30 PM)
  • Break (2:30 - 2:45 PM)
  • Group Interactive Discussion on Model-Fitting - What works, what doesn't, how to extend the Modeler collection and how improve teaching of techniques for fitting and assessing models (2:45 - 3:15 PM)
  • Student Evaluation Methodologies, Mahtash Esfandiari (3:15 - 4:00 PM)
  • Barbeque (6-8 PM, UCLA Sunset Recreation Area)

Day 3 (Wed 08/08/07)

Morning Session - EDA (9AM - 12PM)

  • SOCR Charts - Overview and Class Utilization, Ivo Dinov & Jenny Cui (9:00 - 10:00 AM)
  • Break (10:00 - 10:15 AM)
  • SOCR Charts Activities, Juana Sanchez & Nicolas Christou (10:15 - 11:00 AM)
  • Break (11:00 - 11:15 AM)
  • Group Interactive Discussion on Blended Instruction - What works, what doesn't, how to improve statistics education using modern IT tools? (11:15AM - 12:00 PM)

Lunch Break, Workshop Evaluation & Adjourn (12:00 - 1:00 PM)

Afternoon Session - Visit to J. Paul Getty Museum (1PM - 4PM)

Sponsorship

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UCLA Logo.gif
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SOCR CAUSE UCLA Statistics UCLA OID NSF

Additional Workshop Resources




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