Title: Teaching Statistics Online CAUSEweb Webinar December 12, 2006
1Teaching Statistics OnlineCAUSEweb
WebinarDecember 12, 2006
- Michelle Everson
- University of Minnesota
2Overview
- About the course
- Structure of the course website
- Description of student assignments and
assessments - What do students think about the course?
- Things for the online instructor to consider
- Some lessons learned
3The GAISE Recommendations
- According to the GAISE (2005) recommendations,
introductory statistics courses at the college
level should - Emphasize statistical literacy and develop
statistical thinking - Use real data
- Stress conceptual understanding
- Foster active learning
- Use technology
- Integrate assessments that are aligned with
course goals
4Research on Teaching Statistics Online
- How can collaborative activities and technology
can be integrated into an online statistics
course? - Student-to-student interaction and collaboration
- Weekly chats (e.g., Dereshiwsky, 1998)
- Project work (e.g., Davis Chao, 2004 Prater
MacNeil, 2002 Suanpang, Petocz, Kalceff, 2004) - Regular group discussions (e.g., Grandzol, 2004
Jones, 2003) - Technology
- Courses have used Excel, SPSS, Minitab,
Cyberstats, and ActivStats (e.g., Davis Chao,
2004 Dutton Dutton, 2005 Grandzol, 2004
Harrington, 1999 Lawrence Singhania, 2004
Mills Xu, 2005 Prater MacNeil, 2002 Utts et
al., 2003 Zhang, 2004)
5EPSY 3264 Basic and Applied Statistics
- This is a 3-credit, semester-long, upper-level
undergraduate course - Students who take the course come from all over
campus most take the course to fulfill a general
education requirement - The course covers the following topics data
collection and description, normal distributions,
sampling distributions, methods of statistical
estimation and inference, correlation, and simple
linear regression - The course uses the textbook Mind on Statistics
(3rd ed., by Utts Heckard), bundled with Minitab
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16Course Assignments
- Grades are based on
- Small-group Discussion Assignments (7)
- Homework Assignments (8)
- Quizzes (4)
- Project (1)
- Students also have the opportunity to complete
non-graded practice activities and extra credit
assignments
17More on Grades
18Collaborative Group Assignments
- Each student is assigned to a discussion group at
the beginning of the semester - Seven small-group discussion assignments are
completed - Assignments involve discussing concepts and
answering questions as a group - Students must post their own thoughts (by
midnight on Wednesday) AND respond in a
meaningful way to what at least one group member
has posted - One student volunteers to lead each discussion
and submit a summary to the instructor by
midnight on Monday - Grading 3 points for initial posting, 3 points
for responding, 1 point if group summary is
submitted on time
19Group Assignment 1 Designing an experiment
- Students read a 1998 New York Times article about
a Therapeutic Touch experiment conducted by
11-year-old Emily Rosa - Students spend some time critiquing the study
(i.e., discussing sampling issues, possible
confounding variables, etc.) - Students then design a new experiment in order to
assess the efficacy of the Therapeutic Touch
method
20Group Assignment 4 Sampling Distributions
- Students work independently through a lab in
which they use the Sampling SIM program (delMas,
2001) - Students then attempt to answer a series of
questions about the lab as a group - They talk about what they feel a sampling
distribution is and why it is important. - They talk about why they think the sampling
distribution has the characteristics that it
does. - They work as a group to answer a question that
involves applying knowledge of sampling
distributions.
21Group Assignment 6 Hypotheses tests
- Each student posts a research question that
he/she is interested in and that can be addressed
using either a one-sample, two-sample, or paired
t-test procedure - Students talk about
- Why they are interested in this question
- What their null and alternative hypotheses will
be - What procedure is most appropriate to use and why
- After students have posted their own research
question, they each must choose one other
research question to critique
22More on Homework Assignments
- Students complete 8 homework assignments, each
worth 10 points - Assignments involve answering instructor-generated
questions - Most assignments involve using Minitab or other
technology (e.g., Java applets) - For some assignments, student data is analyzed
(i.e., data from a class survey that students
fill out during Week 1 of the course) - Assignments are submitted as Word attachments
through WebCT e-mail - The TA grades each assignment and sends
individual feedback to the student within one week
23More on the Project
- Each student completes a project that involves
gathering data from two groups and
describing/analyzing the data using Minitab - The project is submitted in parts
- Part 1 Project idea
- Part 2 Project data
- Part 3 Introduction and description of data
- Part 4 Inference (confidence intervals and
hypothesis testing) and summary/conclusion
24Quizzes
- Every four weeks (25 points each)
- Quizzes are administered online through the WebCT
quiz tool - Available from noon on Fridays until noon on
Mondays - Students have up to three hours to complete the
quiz (in one sitting) - Quizzes consist almost entirely of short-answer
questions - The BIG question How do you administer quizzes
online and ensure that students are not cheating?
Can you do this????
25Trying to Prevent Cheating
- If all of your quizzes will be online (like they
are in this course), you can do different things
to prevent cheating - Change assessments from semester to semester
- Insist that students complete the quiz in one
sitting, within a certain period of time - Use open-ended questions where students must
explain their answers - You can also randomize the order in which
questions are presented to each student - Ask that students adhere to an honor code of
some kind
26Student Feedback (Spring and Fall, 2006)
- Students are asked to complete a Midterm Feedback
Survey during Week 9 and indicate how they feel
different assignments are contributing to their
understanding of statistics
27Teaching Online Issues to Consider
- What kind of support will you get in developing
the course? How much autonomy do you want to
have? - How large will your class be? Will you get some
TA support? - How will you ensure that students know what is
expected of them in the online course? - What do you want YOUR role in the course to be?
- Are you willing to be online often?
- Are you comfortable providing feedback or
explaining concepts to students via e-mail? - If you use discussion groups, will you
participate in group discussions?
28Some Lessons Learned
- Teaching online can be a big time commitment
- Online courses are NOT for everyone!
- You get to know your students in a much different
way when teaching online - Students appreciate timely communication with the
instructor/TA, organization, and consistent
deadlines - Online discussion assignments can be a great way
to learn more about student difficulties/misconcep
tions - They motivate ALL students to participate
- Discussions can be monitored for ALL GROUPS from
start to finish - Set deadlines discourage students from waiting
until the last minute to participate
29Thank you!!!!
- Contact information
- Dr. Michelle Everson
- Department of Educational Psychology
- University of Minnesota
- gaddy001_at_umn.edu