TEMPLATE DESIGN © 2008 www.PosterPresentations.com From the laboratory to the classroom: Designing a research- based curriculum around the use of comparison.

Slides:



Advertisements
Similar presentations
Professional Development on the Instructional Shift of Focus Lets Focus on Focus.
Advertisements

Kindergarten Instructional Shifts-Focus. Why Common Core? Initiated by the National Governors Association (NGA) and Council of Chief State School Officers.
CCSS Mathematics Instructional Shifts 2 nd Grade Overview.
Department of Mathematics and Science
Focus on Instructional Support
© 2012 Common Core, Inc. All rights reserved. commoncore.org NYS COMMON CORE MATHEMATICS CURRICULUM A Story of Functions A Close Look at Grade 9 Module.
Common Core Math: 2 > 4 Super Week Norms Silence your technology Limit sidebar conversations.
1 Welcome to Module 1 Principles of Mathematics Instruction.
Third International Mathematics and Science Study What does the study show? What does analysis of the data show later (NCES study 2003)? Watch video clips.
Team Task Choose 1 Progression to READ: Number and Operations--Fractions Ratios and Proportional Relationships Develop “Content” Knowledge.
Contrasting Cases in Mathematics Lessons Support Procedural Flexibility and Conceptual Knowledge Jon R. Star Harvard University Bethany Rittle-Johnson.
Explaining Contrasting Solution Methods Supports Problem-Solving Flexibility and Transfer Bethany Rittle-Johnson Vanderbilt University Jon Star Michigan.
Does Comparison Support Transfer of Knowledge? Investigating Student Learning of Algebra Jon R. Star Michigan State University (Harvard University, as.
Compared to What? How Different Types of Comparison Affect Transfer in Mathematics Bethany Rittle-Johnson Jon Star.
NCTM’s Focus in High School Mathematics: Reasoning and Sense Making.
Results (continued) In the sequential student pair’s (A&B) interactions, the students read out the coefficients of the terms (2, 6 and 4) without using.
Improving Students’ Flexibility in Algebra: The Benefits of Comparison Jon R. Star Michigan State University (Harvard University, as of July 2007)
Improving Students’ Flexibility in Algebra: The Benefits of Comparison Jon R. Star Michigan State University (Harvard University, as of July 2007)
Final Session: Whole Group Please sit together with the other associates from your district (as much as possible) April 27, 2005.
Contrasting Examples in Mathematics Lessons Support Flexible and Transferable Knowledge Bethany Rittle-Johnson Vanderbilt University Jon Star Michigan.
When it pays to compare: Benefits of comparison in mathematics classrooms Bethany Rittle-Johnson Jon R. Star.
Division of School Effectiveness1 Common Core State Standards: Transitioning from Awareness to Implementation December 1, 2011 Rutledge Conference Center.
Overview of Cognitively Guided Instruction Research.
Chapter 3 Teaching Through Problem Solving
Algebra Team Session Mark Ellis October 31, 2006.
+ Hybrid Roles in Your School If not now, then when?
Interactive Science Notebooks: Putting the Next Generation Practices into Action
It Pays to Compare! The Benefits of Contrasting Cases on Students’ Learning of Mathematics Jon R. Star 1, Bethany Rittle-Johnson 2, Kosze Lee 3, Jennifer.
Classroom Assessment A Practical Guide for Educators by Craig A
Module 1: A Closer Look at the Common Core State Standards for Mathematics High School Session 2: Matching Clusters of Standards to Critical Areas in one.
Learning Objectives Participants will discuss ways to integrate themes throughout their classroom. Participants will come up with their own ideas to increase.
NCCSAD Advisory Board1 Research Objective Two Alignment Methodologies Diane M. Browder, PhD Claudia Flowers, PhD University of North Carolina at Charlotte.
Does Theory Improve Practice? Can Participation in Research Based Workshops Improve Teachers’ Practice? Ronith Klein Kibbutzim College of Education, Tel.
Choice-based assessments Dan Schwartz
CONCEPT DEVELOPMENT LESSONS Region 5 Mathematics Network Conference September 16, 2013.
Instructional/Program Design Produced by Dr. James J. Kirk Professor of HRD Western Carolina University.
 Participants will teach Mathematics II or are responsible for the delivery of Mathematics II instruction  Participants attended Days 1, 2, and 3 of.
Kristie J. Newton, Temple University Jon R. Star, Harvard University.
Prompts to Self-Explain Why examples are (in-)correct Focus on Procedures 58% of explanations were procedure- based Self-explanation is thought to facilitate.
The Areas of Interaction are…
1. Principles Equity Curriculum Teaching 3 Assessment Technology Principles The principles describe particular features of high-quality mathematics programs.
This module was developed by Carrie Ziegler, Nathan Auck, and Steve Jackson. They are the three principle designers of the course, Principles to Actions,
District Learning Day August 5, 2015
Presented By: Whitney Farris. Levels of Writing Competence The Emergent Writer: At this level the greatest challenge occurs with transcribing the message;
Module 1: A Closer Look at the Common Core State Standards for Mathematics High School Session 3: Exploring Standard Progressions across High School Courses.
Lesson Study Opening Activities (Movement Activity) Grouping Subgroup Article Sharing –Subgroup Reporting.
Successfully Implementing High- Level Tasks Based on work by Dr. Margaret S. Smith, University of Pittsburgh.
Bridge Year (Interim Adoption) Instructional Materials Criteria Facilitator:
Effective Practices and Shifts in Teaching and Learning Mathematics Dr. Amy Roth McDuffie Washington State University Tri-Cities.
Strategy Flexibility Matters for Student Mathematics Achievement: A Meta-Analysis Kelley Durkin Bethany Rittle-Johnson Vanderbilt University, United States.
Knowledge of Procedures (familiar)1. 3(h + 2) + 4(h + 2) = (x + 1) = 10 Knowledge of Procedures (transfer)3. 3(2x + 3x – 4) + 5(2x + 3x – 4) = 48.
The Role of Comparison in the Development of Flexible Knowledge of Computational Estimation Jon R. Star (Harvard University) Bethany Rittle-Johnson (Vanderbilt.
The Power of Comparison in Learning & Instruction Learning Outcomes Supported by Different Types of Comparisons Dr. Jon R. Star, Harvard University Dr.
Teachers’ views about multiple strategies in middle and high school mathematics Jon Star and Kathleen Lynch Harvard Graduate School of Education
Using a Model Teaching Activity to Help Teachers Learn to Use Comparison in Algebra Kristie J. Newton, Temple University Jon R. Star, Nataliia Perova Harvard.
Moving beyond “Fidelity of Implementation” Some Thoughts about Mathematics Curriculum and Teacher Professional Development Moving beyond “Fidelity of Implementation”:
Using Comparison to Develop Teachers’ Flexibility in Algebra Jon R. Star & Courtney Pollack Harvard University Christopher Yakes California State University,
Assessment Amy Walker ECED7259. Assessment There are three main subtopics to think about when dealing with assessment… There are three main subtopics.
Pathways to Flexibility: Leveraging Comparison and Prior Knowledge Bethany Rittle-Johnson Jon Star Kelley Durkin 1.
Mark Roddy, Ph.D. Seattle University Effective Teaching Practices in Mathematics from the Marzano 9, to the NCTM 8, to your classroom.
The Role of Prior Knowledge in the Development of Strategy Flexibility: The Case of Computational Estimation Jon R. Star Harvard University Bethany Rittle-Johnson.
Using Comparison to Support Mathematics Knowledge: From the Lab to the Classroom Bethany Rittle-Johnson Jon Star Kelley Durkin.
Action Research for School Leaders by Dr. Paul A. Rodríguez.
Core Mathematics Partnership Building Mathematical Knowledge and
Classroom Assessment A Practical Guide for Educators by Craig A
CHAPTER 3 Teaching Through Problem Solving
From the laboratory to the classroom: Creating and implementing a research-based curriculum around the use of comparison Courtney Pollack, Harvard University Dr.
Developing Mathematical Thinking Institute (DMTI)
CONSTRUCTIVISM Submitted To: Ma’am Misbah Yasmeen BPGCW (Air University)
Presentation transcript:

TEMPLATE DESIGN © From the laboratory to the classroom: Designing a research- based curriculum around the use of comparison Courtney Pollack, Harvard University Dr. Jon R. Star, Harvard University AbstractDevelopment: Moving from the Lab to the Classroom, cont. Future Directions This poster shares our experience designing and implementing an Algebra I curriculum based on research findings about how students learn using comparison. Our goal was to bridge the gap between experimental lab-based research and classroom practice by transforming a body of research emerging from the psychological literature into usable, palatable, and effective materials for the classroom. We discuss the questions we encountered regarding the design and pilot implementation of the curriculum materials and our resulting decisions. We offer our story in an effort to assist future researchers and curriculum developers who seek to bridge the research-practice gap. Research on Comparison There is a great deal of cognitive research showing the benefits of comparison for learning (e.g., Loewenstein & Gentner, 2001; Namy & Gentner, 2002; Oakes & Ribar, 2005). However, little of this type of research has been done in classrooms. Comparison has also played a fundamental role in mathematics education reform. The National Council of Teachers of Mathematics Standards underscores the sharing and comparing of solution methods (1989, 2000). Comparing, sharing, and discussing solution strategies have been central to the principles of reform pedagogy (Silver, Ghousseini, Gosen, Charalambous, & Strawhun, 2005). Recently, building on existing laboratory studies, we have been engaged in small-scale experimental classroom studies to explore the benefits of comparison for students’ learning of mathematics, focusing on equation solving. Rittle-Johnson and Star (2007) showed initial empirical evidence for the efficacy of comparison for linear equation solving. In this study, seventh grade students compared either a pair of worked examples presented side-by-side on the same page or reflected on a pair of worked examples presented sequentially. In each problem pair, two different solution methods were presented, one conventional method and either a shortcut method or less efficient method. Results of this study showed that students in the comparison condition showed greater procedural knowledge and flexibility than students in the sequential condition. Rittle-Johnson and Star (2009) lent further support to these results, showing that the use of comparison can increase procedural knowledge flexibility and support conceptual knowledge for linear equation solving. Additionally, this study extended the findings in Rittle-Johnson and Star (2007), by showing that comparison of two different solution methods or two different problem types supported students’ procedural flexibility and conceptual knowledge. Taken together, these studies formed the foundation for the beginning of the creation of our research-based curriculum. The central focus of this research foundation is a “worked example pair,” a one page, side-by-side presentation of two problems that differ either by problem type or solution method. The worked example pairs serve as a medium to facilitate students’ comparison of and reflection on multiple strategies. Comparison Curriculum Figure 1. Worked example pair focused on strategy choice. Development: Moving from the Lab to the Classroom Figure 2. Worked example pair focused on understanding why a strategy works. Figure 3. Worked example pair focused on understanding mathematical concept(s) by examining how two problems differ. Figure 4. Worked example pair focused on identifying and explaining which strategy is correct. References Loewenstein, J., & Gentner, D. (2001). Spatial mapping in preschoolers: Close comparisons facilitate far mappings. Journal of Cognition and Development, 2, 189–219. Namy, L. L., & Gentner, D. (2002). Making a silk purse out of two sow’s ears: Young children’s use of comparison in category learning. Journal of Experimental Psychology: General, 131, National Council of Teachers of Mathematics. (1989). Curriculum and evaluation standards for school mathematics. Reston, VA: Author. National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. Reston, VA: Author. Oakes, L. M., & Ribar, R. J. (2005). A comparison of infants’ categorization in paired and successive presentation familiarization tasks. Infancy, 7, 85–98. Rittle-Johnson, B. & Star, J. R. (2007). Does comparing solution methods facilitate conceptual and procedural knowledge? An experimental study on learning to solve equations. Journal of Educational Psychology, 99 (3), Rittle-Johnson, B. & Star, J. R. (2009). Compared with what? The effects of different comparisons on conceptual knowledge and procedural flexibility for equation solving. Journal of Educational Psychology, 101 (3), Silver, E. A., Ghousseini, H., Gosen, D., Charalambous, C., & Strawhum, B. (2005). Moving from rhetoric to praxis: Issues faced by teachers in having students consider multiple solutions for problems in the mathematics classroom. Journal of Mathematical Behavior, 24, Comparison Curriculum When beginning development of the comparison curriculum program, we anticipated that the curriculum would need to be altered considerably in terms of the density and usability of the materials that had been created for our research studies. Density of Materials In moving from the laboratory to the classroom, the goal was to create supplemental materials that ‘infused’ comparison into the classroom and could be used in conjunction with existing curricula. The comparison problems used in our prior research only covered linear equation solving and were restricted to a small set of linear equation types, so we knew the curriculum would require greater coverage of topics in Algebra I. We considered questions about how many worked examples to include, and which mathematical topics would be amenable to learning via comparison. To address some of these issues, we examined the scope of current Algebra I curricula to create a set of topics and sub-topics that we felt were conducive to learning through comparison. We also considered what types of worked example pairs to include. Based on our prior research, we included worked example pairs for comparing solution methods and problem types. We included a new comparison type that we thought would be useful, though it represented a departure from our research findings. In this new problem type, one method is correct, while the other method contains an error and resulting incorrect answer. We present an example of each problem type in Figures 1-4. Finally, we considered how to distribute the worked example pairs across a typical Algebra I curriculum. We found that some topics lent themselves more or less well to a specific worked example pair type. We created multiple worked example pairs for other topics that were more favorable to more than one worked example pair type. Usability of Materials We never intended for classroom teachers to implement the worked example pairs from our research materials as-is. Our experimental materials were designed for use with student pairs and with minimal teacher or whole class time, which would likely not be suitable for most classrooms. To accommodate the need for flexibility in instructional formats, the curriculum materials were given to teachers in both print and electronic form. We also made the materials more engaging by designing two characters, Alex and Morgan, who each correspond to a solution method. To facilitate discussion, each worked example pair has accompanying questions, intended to guide a three-part discussion. Even when basing the development of our comparison curriculum on the principles we gained from prior research, we needed to make decisions for which research did not exist. We believe we have maintained the specific research findings that we sought to instantiate. The creation of our comparison curriculum represents the first step in an iterative development process. As of August 2010, the refined version of our curriculum is in use; the curriculum is being tested for efficacy as well. As we look ahead to further iterations, we will continue to consider questions regarding the nature of research-based curricula and curriculum development more generally.