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Can You List Five Good Reasons for Teaching Mathematics? Science? What are the Big Five?

  • Year 2019
  • NSF Noyce Award # 1136322
  • First Name Jim
  • Last Name Matthews
  • Institution Siena College
  • Role/Position Professor
  • Workshop Category Track 1: Scholarships and Stipends
  • Workshop Disciplines Audience Chemistry
  • Target Audience Evaluators/Education Researchers, Noyce Master Teachers, Noyce Teaching Fellows, Project PIs / Co-PIs / Other Faculty/Staff, School and District Administrators, Undergraduate and/or Graduate Noyce Scholars
  • Topics Supporting New Teachers
  • Session Length 30 minutes

Goals

1. Develop a list of the main reasons for teaching mathematics and science. We think reasons are basically the same.
2. Share challenging mathematics problems that have a focus of understanding the world and universe in which we live. This is one of the Big Five reasons for teaching mathematics and science.
3. Share research results that indicate successful methods for addressing the Big Five.

Evidence

1. Alan Schoenfeld, (November 2017)- Learning to Think Mathematically: Problem Solving, Metacognition, and Sense Making in Mathematics
2. National Council of Teachers of Mathematics (April 8, 2010 post)- Why is Teaching With Problem Solving Important to Student Learning.
3. Jo Boaler (December 1997) Journal for Research in Mathematics Education- Open and Closed Mathematics: Student Experiences and Understandings.

Proposal

During a long school year, it’s not unusual to lose sight of the big picture of why we teach what we teach. It’s easy to become consumed with the immediate needs of students, lesson plans, classroom management, and everything associated with assessments. This loss of vision can also occur while participating in a teacher preparation program. In this very interactive session, participants will discuss the reasons for teaching mathematics and science. We will share examples that connect to the Big Five and discuss ways to on keeping us focused on what really counts.

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This material is based upon work supported by the National Science Foundation (NSF) under Grant Numbers DUE-2041597 and DUE-1548986. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.

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