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Help Desk Hours
Monday – Friday
8:00 a.m. – 7:00 p.m.

Phone: 765-285-7090
Fax: 765-285-0124,
ATTN: Julie Gentry
digmid@bsu.edu


For information
contact:
Dr. Bizhan Nasseh
Information Technology
AD 209
Phone: 765-285-1034
Fax: 765-285-4260
bnasseh@bsu.edu


Digital Middletown--Information Technology at Ball State University
Data Evaluation
Evaluation will include regular and on-going measurement of program progress against the project benchmarks for each goal. The evaluation combines traditional methods such as interviews, questionnaires, artifact analysis with more dynamic methods such as focus groups and online interviewing, data gathering and analysis. The following table displays evaluation activities.

DATES

CORE PROJECT ACTIVITIES

EVALUATION ACTIVITIES

Summer 2004

  • June 2004 – Two on campus meetings with BSU Teacher liaison.
  • July 2004 – Independent investigation of content for lesson integration.
  • August 2004 – School-based planning meeting with BSU Teacher liaison.
  • August 2004 – Two lessons in development for implementation
  • Teacher survey
  • Lesson/Unit Plan analysis
  • Network deployment and testing
  • Content preparation

Fall 2004

  • September 2004 – School-based project meeting with parents
  • September/October 2004 – Implementation of lesson #1
  • November/December 2004 - Implementation of lesson #2
  • Ongoing – 2 lessons in development for spring implementation
  • Teacher Survey
  • Teacher Interview
  • Lesson/Unit Plan analysis
  • Classroom video
  • Artifact analysis
  • Student survey
  • Post-lesson student survey
  • Network analysis

Spring 2005

  • January/February 2005 - Implementation of lesson #3
  • April/May 2005 - Implementation of lesson #4
  • Teacher Survey
  • Teacher Interview
  • Lesson/Unit Plan analysis
  • Classroom video
  • Artifact analysis
  • Network analysis

Teachers will be asked to participate in data collection for evaluation purposes including completing surveys, interviews, and student product analysis.

Evaluation of Machine Generated Data:

During the project, Ball State University's Information Technology network division will monitor network activity to determine network performance trends and to prevent network problems. A subset of this data will be stored, without personal identifying information, for Ball State University to use for research analyses. 

Data collected will include (1) network traffic (speed and network performance data) and (2) access to relevant content available through the project portal.