Instructional Technology
Conference 2005
Proposal #19
Title: CAUSEweb: A Digital Library for Statistics Education
Name: Ginger Holmes Rowell, Ph.D, Scott Noble McDaniel, Ph.D, Megan Duffey & Ileah McKee
Audience Level: All
Audience: Faculty & Students
Length: Not Specified
Abstract:
CAUSEweb, a new digital library for statistics instructors and students, is being developed and operated by the Consortium for the Advancement of Undergraduate Statistics Education (CAUSE) through funding from the National Science Foundation. CAUSE seeks to support and advance undergraduate statistics education in four target areas: resources, professional development, outreach, and research. CAUSEweb serves as a vehicle for collecting, reviewing, developing, and disseminating resources for members of the undergraduate statistics education community.
Description:
CAUSEweb, a new digital library for statistics instructors, is being developed and operated by the Consortium for the Advancement of Undergraduate Statistics Education (CAUSE) through funding from the National Science Foundation. Arising from a strategic initiative of the American Statistical Association, CAUSE is a national organization whose mission is to support and advance undergraduate statistics education in four target areas: resources, professional development, outreach, and research. The resources section of CAUSEweb is designed to provide a single point of contact for anyone who teaches undergraduate statistics. CAUSEweb serves as a vehicle for collecting, reviewing, developing, and disseminating resources for members of the undergraduate statistics education community. Middle Tennessee State University faculty members, Drs. Ginger Holmes Rowell and Scott Noble McDaniel and students from the Department of Mathematical Sciences are leading the development of the resources portion of CAUSEweb by selecting materials for this digital library from existing web-based statistics education materials. Additionally, the MTSU CAUSEweb project team is specializing national standards of indexing guidelines to meet the specific needs of the statistics collection, classifying learning objects in the database to enable users to search and find items in the collection, and writing descriptions of learning objects in the database to enable teachers of statistics to quickly determine if the materials meet their objectives. Some ways in which the resources are categorized include material type (lecture examples, laboratories, out of class materials, datasets, analysis tools, etc.), audience (high school, undergraduate lower division, etc.), mathematical level (non-symbolic math, algebra, calculus), and application area (biology, social sciences, etc.).
Session Type: Poster Session
Contact information/affiliation:
Ginger Holmes Rowell, Ph.D
Middle Tennessee State University
Department of Mathematical Sciences
PO Box 34
Murfreesboro, TN 37132
E-mail: rowell@mtsu.edu
Office: 615-898-5540
Scott Noble McDaniel, Ph.D
Middle Tennessee State University
E-mail: smcdanie@mtsu.edu
Office: 615-904-8367
Megan Duffey
Middle Tennessee State University, Undergraduate Mathematics Student
E-mail: mrd2e@mtsu.edu
Ileah McKee
Middle Tennessee State University, Undergraduate Mathematics Student
E-mail: iam2b@mtsu.edu
Equipment: Wall outlet, wireless internet connection (if reasonable)