2006
MSP Summer
workshop
Questions for the reading for
workshop
Activities-assorted by
days
Day 1: June 22
Technology Warm-Up
Applet and calculator activity: Skip Counting and Hundreds boards
Activity *
Technology-An Intro to Graphing Calculator
Basics: Lists and plots
Technology- Basic stat functions
Activity:
Missing
Values NCTM blackline master (if time permits)
Activity:
Day 2: June 23
Technology Warm-Up
Balanced
Scales Virtual Manipulative
Slope
applet
Activity:
Investigating Linear Relationships from Multiple Perspectives
Technology- An Introduction to Graphing Calculator Basics:
Graphing Functions and Solving Equations.
Activity:
Algebra
Tiles Modeling polynomial multiplication, factoring, etc.
Activity:
Ups
and Downs Patterns NCTM blackline master (if time permits)
Technology: More with lists and sequences
Day 3: June 26
Technology Warm-Up
Voltage
Applet
Applet (TBA)
Activity:
Technology-Lists and their plots on GC
and spreadsheet/GC applet
Activity:
Technology-CBL
(Calculator Based Laboratory) Voltage Experiment
Technology-Graphing collected data
Activity:
Fund
Raising NCTM blackline master
Technology- Lists and their graphs
Activity:
Algebra Tiles-
Further explorations (if time permits)
Day 4: June 27
Technology Warm-Up
Applets (TBA)
Activity:
What
is Linear?
Handout 3: NCTM blackline master
Technology- Lists, functions and plots
Activity:
Graphs
to Stories NCTM blackline master
Stories
to Graphs NCTM blackline master
Activity:
Technology-CBR
(Calculator Based Ranger) Motion Experiment
Breakout Sessions:
Toothpick
Patterns (NCTM blackline master) :for teachers grades 3-5
Interest Problem for teachers grades 6 8
Technology- the spreadsheet
type features of the GC
Day 5: June 28
Technology Warm-Up
Probability Applets
Activity:
Probability I: What is Fair: Dice
and Distributions
Activity(if time):
Probability
II: Probability experiments and ratios
(NCTM blackline master)
Activity:
Technology-CBL
(Calculator Based Laboratory) Temperature Experiment
Wrap-up
Learning Goals
for Day 5:
1) Ability to relate two data sets using the CBL.
Also to understand nonlinear data.
2) Ability to understand the importance of the
Law of Large numbers in probability
3) Ability to recognize the importance of
fairness criteria in probability experiments