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Transforming an Intro to Stats Course Through Technology ICTCM New Orleans, 2004

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Title: Transforming an Intro to Stats Course Through Technology ICTCM New Orleans, 2004


1
Transforming an Intro to Stats Course Through
Technology ICTCM New Orleans, 2004
  • Robb Sinn
  • Mary Fleeman
  • Anna Karlson
  • North Georgia College State University

See Dr. Sinns Web Page for Details
radar.ngcsu.edu/rsinn
2
Overview
  • My Tech Transformation
  • Traditional Stats Fall, 2003
  • Technology Stats Spring, 2004
  • Results
  • Student Outcomes
  • Student Presentations
  • Pitfalls and Workarounds

3
Two Stats Courses
  • Fall 2002
  • By-Hand Calculations
  • Memorized Formulas
  • Calculators Optional
  • Spring 2003
  • No By-Hand Work
  • No Memorization
  • TI-83 Mandatory
  • Key Differences
  • Time Savings
  • Grading Preps
  • Student Interest

4
Course Structure
  • Text Sullivan
  • Study Design and Descriptives (Chap. 1 3)
  • Linear Regression (Chap. 4)
  • Probability (Chap. 5 6)
  • Group Comparisons (Chap. 7 10)
  • Chi-Sqare (Chap. 11)
  • Projects
  • Regression Project
  • Group Comparison Project

5
Whats Gone?
  • 3-Column Standard Deviation Calculations
  • Percentile Calculations
  • By-Hand Histogram-Drawing
  • Probability Formulas
  • Critical Values
  • Z Tables and T Tables

6
What Replaced It?
  • Calculator-Based Numerics
  • Projects
  • Excel Tutoring
  • Study Design Data Collection
  • Student Presentations
  • More Material
  • Chi-Square
  • In-Class Discussions
  • Politics, Polling Elections
  • Type I / Type II Error Bio-Ethics

7
Projects
  • Linear Regression
  • Task Find 2 fun variables that are related.
  • Teams (3 4 Members)
  • Sample Size (100 150)
  • Group Comparison
  • Task Compare 2 groups on some fun variable.
  • Hypothesis Testing
  • Teams (Optional)
  • Sample Size (30 / Team Member)

8
Fun Regression Projects
  • Drinking vs. GPA
  • Smoking vs. GPA
  • Trips to Wal-Mart vs. Stress Levels
  • BMI (Males) vs. Number of Dates / Yr.
  • Class Attendance vs. GPA
  • Penmanship vs. GPA
  • Cookies / Week vs. Workouts / Week

9
Fun Group Comparisons
  • Do blondes have more fun (dates)?
  • Do Greeks drink more alcohol?
  • Are girls smarter?
  • Do Cadets drink more caffeine?
  • Are women worse drivers than men?
  • Do N. Georgia 12-year olds watch less TV than the
    national average?

10
Student Outcomes
  • Positive Student Reactions
  • Projects
  • Power Point Notes
  • Technology Focus
  • My Co-Presenters
  • Mary Fleeman
  • Technology and Projects
  • Anna Karlson
  • Technology and our Daily Classroom

11
Mary Begins Here
12
Mary Fleeman
  • Junior at North Georgia College and State
    University
  • Nutrition Major
  • Discuss my final group comparison project

13
Group Comparison Project
  • I had to select a variable for comparison and
    then select a group on campus to compare to the
    overall statistic.
  • Collect data and run appropriated tests
  • Report your research
  • Dr. Sinn wanted to us to compare something that
    interested us.
  • Something stood out….

14
Dating
  • The average NGCSU student has 2 dates per week.
  • It just didnt make sense.
  • My hypothesis…

15
Collecting Data and Running the Numbers
  • Found my group and collected data
  • Ran my Z-Test
  • My results backed up my hypothesis.
  • Statistics had suddenly became relevant in my
    dating life.

16
What I took away from Statistics…
  • I learned its not just the numbers but the
    meaning behind the numbers.
  • Using Excel and my calculator to run tests saved
    me time and allowed me to focus more on the
    meaning of my work.
  • I didnt just get through the class I enjoyed
    the class.

17
Mary Ends Here
18
Technology
  • Projects necessitate learning…
  • MS Excel
  • MS Word
  • MS PowerPoint
  • Classroom style necessitates…
  • Accessing web-based resources
  • PowerPoint lecture notes
  • Other resources
  • Email attachments, assignments, etc.

19
Anna Begins Here
20
Technology Used
  • PowerPoint
  • Excel
  • Graphing Calculator
  • E-Mail

21
PowerPoint
  • Notes in class
  • Studying
  • Projects

22
Excel
  • Projects
  • Practice
  • Not having to do graphs by hand

23
Graphing Calculator
  • Follow along in class
  • Not have to study as much
  • Learn more formulas since you do not have to work
    problems by hand

24
E-Mail
  • Easier to send documents
  • Able to check ideas before you start projects
  • Able to correspond with group members and check
    work in progress

25
Anna Ends Here
26
What Transformation?
  • Technology saves time.
  • Use it well.
  • I feel my course is better now because the time
    savings was invested in
  • Authentic research experiences for students
  • Time for interesting discussions
  • Ubiquitous use of common technology platforms

27
Is the Course Dumbed-Down?
  • Deemphasize Rigor
  • Emphasize Understanding
  • Deemphasize Calculations
  • Emphasize Interpretations
  • Deemphasize Theory
  • Emphasize Practice Which Test to Run?
  • Deemphasize Details
  • Emphasize Big Real-World Picture

28
My Observations
  • Students
  • Outcomes
  • Interest
  • Questions
  • Instructor
  • Not Boring
  • Not too Time-Consuming
  • Nice Evaluations

29
Technology Suggestions
Each new technology platform utilized costs a
week of class timetime that must be spent
teaching the technology rather than statistics.
  • Robbs Excel Tutorials
  • Help Files and Tutorials on Web
  • Two 50-Minute Classes Dedicated to Excel
  • Evening Office Hours in Computer Lab the Night
    Before Linear Regression Project Presentations
  • TI-83 Also Takes at Least a Week

30
Technology Suggestions
Student server outages will surgically strike 90
minutes before each technology-based assignment
deadline. Same for Email servers, only worse.
  • Work-Arounds
  • Plan for Free Time on Assignment Due Date
  • Be FlexibleAdjust Deadlines When Needed
  • Give Plenty of Lead Time
  • Fewer Last-Second Submissions
  • Practice Crisis Counseling Skills

31
Technology Suggestions
Computers in labs are possessed of evil demons
which unleash inexplicable pestilence on
unsuspecting mathematics faculty.
  • Some Difficulties Encountered
  • Wireless Network Hangs Up on Multiple Log-ins
  • Keyboards Default to Unwieldy Mode
  • No Mice for Laptops
  • Students Do Not Know Their Login Details
  • Work Around Have Patience and an Alternate
    Lesson Planned

32
Technology Suggestions
Cooperative Learning is essential. Find out
which students are technology-proficient, and put
one on each team.
  • Survey For the following activities, rate
    yourself on a scale of 1 to 5, 5 being best…
  • High School Algebra
  • Using a TI-83 or Other Graphing Calculator
  • Using Microsoft Excel
  • Students Teach for You

33
Project Suggestions
Good projects take about a month of dialog and
refining.
  • Teams Email Me Once a Week
  • Research Idea? Sampling? Survey?
  • Soft Deadlines Keep Things Moving
  • Time Line
  • Regression Project 5 ½ Weeks
  • Group Comparison Project 4 Weeks

34
Project Suggestions
Students WILL use class time to organize their
teams projectso schedule it.
  • Schedule Team Work-Time in Class
  • Take 15 20 Minutes (4 5 Times / Project)
  • Give Teams
  • Discussion Topic
  • Task List
  • Assignment (Email)
  • Combine with Soft Deadlines

35
Team Coordination Suggestions
Sorority sisters make incredibly incompatible
project teammates.
  • Teams DO Melt Down
  • Start with Stern Responsibility Lecture
  • Repeat Stern Responsibility Lecture Often
  • Address Individual Problems as they Arise
  • Does Everyone Get the Same Grade?
  • Yes No
  • Is that Fair?
  • Maybe Not

36
Final Suggestions
  • Encourage Students to Have Fun
  • Bonus Points for Interesting Stuff
  • Take Plenty of Time
  • Good Tech Activities and Projects Cant Be Rushed
  • Have Alternate Lessons Ready on Crunch Days
  • Expect High Level Analytical Skills
  • Demand Excellent Writing, Solid Grammar and
    Perfect Spelling
  • Expect Top Students to Start Visiting Your Office

37
Resources
  • My Web Page radar.ngcsu.edu/rsinn
  • PowerPoint Slides
  • Packet in DOC Form
  • Dont Reinvent the Flat Tire!!
  • Regression Report Template
  • Link to Robbs Stats Page
  • Project Pages
  • Student Work Samples (Coming Soon)
  • PowerPoint Class Notes (See What We Do)

38
Transforming an Intro to Stats Course Through
Technology ICTCM New Orleans, 2004
  • Robb Sinn
  • Mary Fleeman
  • Anna Karlson
  • North Georgia College State University

See Dr. Sinns Web Page for Details
radar.ngcsu.edu/rsinn
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