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Challenging Mathematics: Data Collection in Kindergarten

Challenging Mathematics: Data Collection in Kindergarten. Nancy B. Hertzog Marjorie M. Klein University Primary School The University of Illinois at Urbana-Champaign. Content Strands. Numeration and Counting Operations and Relations Exploring Data Measures and Reference Frames Money

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Challenging Mathematics: Data Collection in Kindergarten

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  1. Challenging Mathematics: Data Collection in Kindergarten Nancy B. Hertzog Marjorie M. Klein University Primary School The University of Illinois at Urbana-Champaign

  2. Content Strands • Numeration and Counting • Operations and Relations • Exploring Data • Measures and Reference Frames • Money • Geometry • Rules and Patterns

  3. Goals for TodayWe will. . . • Share numeration and problem-solving ideas that challenge young learners while pursuing project investigations. • Demonstrate how math is integrated into other curricular domains • Engage participants in problem-solving activities

  4. University Primary School • Affiliated with the Department of Special Education • University of Illinois at Urbana-Champaign • 75 Students ages 3-7 • 1 3/4 year old classroom • 2 K/1 classrooms • Head Teacher, 1 or 2 assistants • Application Process: Portfolio • Parent Questionnaires • Site Visit • 3 Examples of Children’s “work” • Gifted Education - The New Paradigm • Developing strengths and talents • “Engaging children’s minds”

  5. Key Features of “Everyday Mathematics” • Problem solving about everyday situations • Developing readiness through hands-on activities • Establishing links between past experiences and explorations of new concepts • Sharing ideas through discussion • Cooperative learning through partner and small-group activities • Practice through games

  6. Activities Imbedded in Projects • Sorting • Classifying • Graphing • Patterning • Measurement • Estimation • Computation • Numeration • Problem-Solving

  7. Project Approach(Katz & Chard, 1994) • Phase I • Recalls past experiences • Represents memories of a topic • Phase II • New first-hand experiences • Pursue data gathering • Predict, theorize, hypothesize • Formulate new questions • Phase III • Share understanding of topic • Display

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