Investigating And Visualizing Measurement Error for Novice “STEM” Learners Scott A. Sinex Department of Physical Sciences and Engineering Prince George’s.

Slides:



Advertisements
Similar presentations
Conceptual thinking versus plug-and-chug problem solving: Radiocarbon dating and interactive animated spreadsheets Scott A. Sinex and Barbara A. Gage Prince.
Advertisements

Math CAMPPP 2011 Plenary 1 What’s the Focus? An Introduction to Algebraic Reasoning Ruth Beatty and Cathy Bruce 1.
THE AMERICAN ASSOCIATION FOR THE ADVANCEMENT OF SCIENCE VISION AND CHANGE CONFERENCE AUGUST 29, 2013 Dr. Sylvia Hurtado: Higher Education Research Institute,
Simulation Software Integration Connect Velocity and Acceleration to Mathematical Models.
Graphing data.
Developing online collaboration skills in general chemistry Scott Sinex and Ted Chambers Prince George’s Community College Largo, Maryland Presented at.
Excelets: A Learning Tool to Captivate the Google Generation Scott A. Sinex Department of Physical Sciences and Engineering Prince George’s Community College.
Algebra I Model Course Background. Education Reform Act signed into law by Governor Rell May 26, 2010 Includes many recommendations of the ad hoc committee.
Graphing & Interpreting Data
Modeling and Visualization in Chemistry Workshop Scott Sinex Prince George’s Community College Sponsored by EdGrid and MVHS June 2003.
Cookies, Spreadsheets, and Modeling: Dynamic, Interactive, Visual Science and Math Scott A. Sinex Prince George’s Community College Presented at Network.
Non – Linear Equations Quadratic Equations
Sciences with TI-Nspire TM Technology Module F Lesson 1: Elementary concepts.
Click-and-Think over Chalk-and-Talk: The New Pedagogy via Interactive Excel Spreadsheets in Mathematics and the Sciences Scott A. Sinex Department of Physical.
Scaffolding a Conceptual Understanding of the Gas Phase in General Chemistry Enriched with Technology Scott A. Sinex and Barbara A. Gage Department of.
Welcome to EHC STEM Night. STEM Interview What is STEM STEM refers to the areas of Science, Technology, Engineering, and Math. However, STEM initiatives.
-Learn and Apply Functions in a Real Setting -Recognizing the STEM in mathematics -Supporting Common Core & Mathematical Practices.
Using Technology to Increase Student Engagement in the STEM Classroom Innovations for Learning Conference: Fayette County Schools June 4, 2013 Presenters:
Energize, Engage, Empower Student Thinking & Learning with Spreadsheet Simulations Scott A. Sinex Physical Sciences & Engineering Prince George’s Community.
Forging Chemical Connections among the Symbolic, Macroscopic, and Microscopic Realms: Getting Students to Visualize and Understand Using Technology Scott.
Excelets: A Discovery Learning Tool for Revitalizing College Algebra Scott A. Sinex Dept. of Physical Sciences & Engineering Prince George’s Community.
1. An Overview of the Algebra Standard for School Mathematics? 2.
A Collaboration between: Los Angeles Unified School District University of California, San Diego San Diego State University University of California, Irvine.
Simulations in the Math/Science Classroom: Creating an Engaging Pedagogy with Excel! Scott A. Sinex Prince George’s Community College, Maryland Mark Clemente.
Interactive Excel Spreadsheets: A Visualization Tool for Mathematics and Science Scott A. Sinex Department of Physical Sciences and Engineering Prince.
Materials Science Excelets Created by Scott Sinex Prince George’s Community College Materials Science Excelets can be downloaded at
Learning comes alive using MODSIM Presenters: Janet Hammer- Mathematics Algebra I, Algebra II Sabrina Shumate- Science Biology, Earth Science “When you.
Modeling + Simulating + Visualizing  Engaging + Discovering + Thinking Scott A. Sinex How do you get this process into the classroom? October 13–15, 2010.
Interactive animated spreadsheets: Visualizing multivariable systems for discovery learning in general chemistry Scott A. Sinex Prince George’s Community.
Interactive Animated Spreadsheets: A Powerful Tool for Simulations Scott A. Sinex Prince George’s Community College Presented at 194 th 2YC3 Conference.
IT’S ALIVE: DYNAMIC VISUALIZATION IN MATHEMATICS AND SCIENCE Scott A. Sinex & Barbara A. Gage Department of Physical Sciences Prince George’s Community.
COMPILED BY: GARRETT SCHATTE SCIENTIFIC METHOD. OBJECTIVES 1.Develop a hypothesis 2.Develop an experiment to test a hypothesis 3.Collect data 4.Make measurements.
Y7 Engineering project Maths Lesson 1. Remember you will be assessed on this work All work to be Done on A4 paper You can add to this project at home.
Overview: Physics Modules Global Climate Change Education for Alabama NASA/Auburn/ALSDE/ASIM.
Algebra 1 26, 27 Oct ) Put papers from your group folder into your binder. 2) Put your binder, hw and text on your desk. CHECK YOUR HOMEWORK CHECK.
Preparing a Technically Literate Chemistry Student: Acquiring and Using Tools for Conceptual Understanding of Systems Scott A. Sinex & Barbara A. Gage.
Interactive Excel Spreadsheets: A Computational and Conceptual Learning Tool for Mathematics and Science Scott A. Sinex Department of Physical Sciences.
Ms. Sana Dabeer Senior Girls PECHS Mathematics, level 10
“INTEGRATING TECHNOLOGY INTO THE MATHEMATICS CLASSROOM” “Technology is essential in teaching and learning mathematics; it influences the mathematics that.
Investigating and Visualizing Measurement Error for Novice “STEM” Learners Scott A. Sinex Department of Physical Sciences and Engineering Prince George’s.
Circles Students will be able to transform an equation of a circle in standard form to center, radius form by using the complete the square method.
Small Square Value = 1 Rectangle x Value = x Large Square x x Value = x 2 Algebra Tiles.
WHAT IS THE APPROPRIATE MATHEMATICS THAT COLLEGES STUDENTS SHOULD KNOW AMATYC Conference November 20, 2015 Phil Mahler & Rob Farinelli.
Simulations in the Classroom: Creating an Engaging Pedagogy Presented at the Computation and Science for Teachers Workshop held at the Pittsburgh Supercomputing.
Chapter 8 Spreadsheets. Examining Spreadsheets  Basic Functions Performing Calculations Sorting Data Selecting Data Creating Graphs and Charts.
Supporting your Student with STEM Fair O District Vision: Preparing Students for life. O District Mission: To provide an education and the supports which.
Use of Technology in Course and Clinical Experiences The University of Toledo UToledo. UTeach.UTouch the Future (UT 3 ) Program Add Corporate Logo Here.
By: Jill Robinson Hands on Lab: Newton’s Law of Cooling.
Mass, Measurement, Materials, and Mathematical Modeling: The Nuts and Bolts of Extrapolation Ted Chambers – Prince George’s Community College Scott Sinex.
Explain the trend the graph shows. Extrapolate the graph to make predictions. Outcomes Draw a line graph with all labels and units. How are these 4 pictures.
Professional Development Training: Student Centered Learning Beth Parsons Tech 507 June 14, 2013 Melissa Sands All presentation sources are used in accordance.
This lesson plan will review logarithms and exponential equations by applying the mathematical concepts to real world applications in science and engineering.
Vista Unified School District Meaningful Algebra.
Affordances of an iPad-based Physics Curriculum
Module 2A Modeling Tool: Excel
Mary Nelson Harnam Arnega George Mason University
Students will be able to calculate and interpret inverse variation.
CAST Workshop 2007 Sinex Venturing into Computation Science and Dynamic Visualization with Excelets “Excel with a New Twist” Scott A. Sinex Department.
Scott A. Sinex Dept. of Physical Sciences & Engineering
Turning Multivariable Models into Interactive Animated Simulations
CAST Workshop 2006 Interactive Excel Spreadsheets: A Computational and Conceptual Learning Tool for Mathematics and Science Scott A. Sinex Department.
Scott A. Sinex Prince George’s Community College
Scott A. Sinex Dept. of Physical Sciences & Engineering
Scott A. Sinex Department of Physical Sciences and Engineering
Packet #1 Limits (Visual)
Balance Scale Addition
Oral Reviews: Helping Students Make Connections
Google Apps and STEM.
3-2: Solving Linear Systems
Graphing data.
Presentation transcript:

Investigating And Visualizing Measurement Error for Novice “STEM” Learners Scott A. Sinex Department of Physical Sciences and Engineering Prince George’s Community College Largo, MD Presented at ASEE Conference 2014 in the Best Zone Paper Competition held in Indianapolis, IN on June.

…want students to be able to Know how good a measurement is Graph and transform data Derive mathematical models Judge goodness-of-fit Use simulations to explore multivariable models Make predictions, interpret results, draw conclusions Develop conceptual understanding 2

think like a novice and not an expert! craft an experiment with careful scaffolding 3 Calculate %error List some possible causes Change the mindset of students about how to think about errors Propagation of error Students… Faculty…

Developed four experiments… Stacking cookies Nuts & Bolts of extrapolation Stacking nested Styrofoam cups Nuts & Bolts of let’s make an error 4 ruler balance Each has data collection, model development, and simulations with error analysis

…and what do students do? So let’s examine the stacking cookies experiment 5

Just add data and presto you get a model Enter data Model (by linear regression) Simulation to manipulate a variable Predictions 6 Best-fit line

How would you characterize the use of the “just add data” interactive Excel spreadsheet for this activity? Scale: very easy/easy/so, so /difficult/very difficult Fall 2006 (n = 19 students)3.5 out of 589% no difficulty Fall 2007 (n = 10 students)3.4 out of 5100% no difficulty Fall 2008 (n = 15 students)3.6 out of 593% no difficulty Fall 2010 (n = 15 students)3.5 out of 580% no difficulty Did you happen to notice that the rulers did not have the zero centimeter mark at the end? (all rulers had the zero mark off from the end) Yes No Fall % noticed error Fall % noticed error Fall % noticed error Fall % noticed error If you did (circled yes in question 2), did you correct for it? Be honest! Yes No Fall % of total corrected error Fall % of total corrected error Fall % of total corrected error Fall % of total corrected error For the Stacking Cookies Experiment 7

…and what about ruler error? 8 Here we have induced a constant error

Nuts & Bolts of Extrapolation Mass of bolt by extrapolation M total = M nut * n + M bolt Determine mass of the bolt on a balance - % error Student data …and they whine over the finding the equation Verify model by just add data spreadsheet n M total 9 Enter data into Google form for discussion Mass bolt with from one thru five nuts on it

The extrapolated value of the bolt 10

The pedagogical approach… …so now we can extent concepts using simulations 11

Suppose we used magnesium nuts? 12

Why change? NRC Framework  Next Generation Science Standards Common Core Standards in Mathematics AMATYC - The Right Stuff MAA CRAFTY College Algebra ASEE Innovation with Impact Enhance 21 st -century technology in classroom (ISTE, Educause…) 13

…and students Are actively engaged Are using accessible technology Are involved in science process Must think Must develop an understanding of the model See many multivariable systems More interactive Excel spreadsheets, see 14

Questions and more info… Scott Sinex –See the paper in proceedings atlantic/spring-2013/Investigating-and-Visualizing- Measurement-Error-for-Novice-STEM-Learners.pdf atlantic/spring-2013/Investigating-and-Visualizing- Measurement-Error-for-Novice-STEM-Learners.pdf –Contact me - My thanks to the ASEE Zone 1 selection committee! This work was supported by the NSF Division of Materials Research Partnership for Research and Education in Materials (PREM) Grant Numbers DMR and DMR Thanks for coming today!!! 15