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PRIME Professional Development Opportunities
Summer 2009

Registration Information: To register for these classes, please contact Dixie Stephens at RCAS Staff Development Office, 394-4067
Title: RELEARNING TO TEACH ARITHMETIC: ADDITION, SUBTRACTION, MULTIPLICATION, AND DIVISION
Instructors: Deb Gilliland & Stacie Tschetter
Target Group: Grades K-7 teachers and Special Education staff
Available Credit: 2 BHSU undergraduate or graduate credits; 2 SD Recertification credits; 30 C.E. credits/Audit
Dates: June 22, 23, 24, 25, 26, 2009
Time: 8:00 AM – 3:30 PM
Location: Valley View Elementary, Mathematics Office
Description: This course guides teachers to think critically about students' comprehension of arithmetic. Participants view and discuss video segments of students solving arithmetic problems, analyze student work, and personally solve related math problems. Discussions focus on students as they demonstrate, record, and explain how they solve problems involving whole-number computation. Consideration is given to learning environments that support students as they build their understanding of concepts related to addition, subtraction, multiplication, and division.
By learning about computation across the elementary grades, participants will be better able to understand how these ideas develop over time, how they are connected, and how students acquire an understanding of whole-number computation.

 

Title: ED 631: DATA ANALYSIS AND PROBABILITY FOR K-12 EDUCATORS
Instructor: Jami Stone
Target Group: Grades K-12 teachers and Special Education staff
Available Credit: 2 BHSU undergraduate or graduate credits; 2 SD Recertification credits; 30 C.E. credits/Audit
Dates: July 6, 7, 8, 9, 10, 2009
Time: 8:30 AM – 4:30 PM
Location: TIE Office, Quartz Room, 1925 Plaza Blvd., Rapid City, SD 57702
Description: This course is designed for K-12 educators to deepen their understanding of data analysis and probability concepts that build from kindergarten through high school.  Consistent with the Principles and Standards for School Mathematics, published by the National Council of Teachers of Mathematics, this course emphasizes methods of collecting, organizing, and displaying data; using appropriate statistical methods to analyze data; evaluating inferences and predictions that are based on data; and understanding and applying basic concepts of probability.  Instruction revolves around rich mathematical tasks and includes explicit attention to questioning, conjectures, and justification. Participants reflect on the benefits and challenges of this kind of learning environment and consider implications for their own teaching.