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Phase I.
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Unit Mission/Goal(s) |
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Please state your unit’s mission/goal(s): To advance the knowledge of statistics: by teaching statistics and processes, by research in statistics and statistical pedagogy, and by dissemination of this knowledge to students and the community we serve. |
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Please describe how your unit mission/goal(s) relate to the institutional mission The study of
Statistics is central to the liberal arts education. The statistics
curriculum serves as an integral part of students’ active pursuit of
liberal arts education. The discipline’s mission concentrates on the
three main components of the institutional mission, namely, teaching,
research, and outreach. The statistics curriculum is currently serving
students who major/minor in Statistics, major/minor in disciplines which
require statistical background, aim to complete pre-professional programs,
and the whole Campus through its general education courses in areas such as
abstract systems. The discipline’s mission also involves dissemination
of statistical knowledge to the community which supports the
institution’s mission “(UMM) is an educational resource and
cultural center for citizens of west central Minnesota (and it has) strong
sense of community”. The discipline aims to be a leader in statistics
education at the undergraduate level in a liberal arts environment. Under
this objective, the discipline created a model curriculum given in the
following figure. The discipline also has a goal of being a leader in service
learning/civic engagement and technology enhanced learning.
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Assessment Areas in General Based on the discipline’s goals and objectives, assessment of student learning has been carried out in the following general areas:
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Student Learning
Objectives/Expected Outcomes |
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Learning Objective 1. Students will gain the basic knowledge and skills to make statistical contributions to modern society, whether in the form of theoretical statistics or statistics applied to the other disciplines. |
Expected Outcome 1. Demonstrated
basic knowledge of probability, statistics, and ability to describe these
areas and see importance of these in their statistics education. |
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Learning Objective 2. Students will be able to perform an appropriate statistical analysis using at least one statistics computer package. |
Expected Outcome 2. • Demonstrated ability to model and solve real-world problems, formulate a problem statistically, and determine an appropriate approach towards its solution using a statistical software package. |
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Learning Objective 3. The
curriculum will prepare students to enter graduate school, pursue
careers in applied statistics or statistical fields. |
Expected Outcome 3. Students should be able to use their statistics background to get a job or admission to graduate school. |
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Learning Objective 4. The
students will be able to identify and communicate statistical
ideas effectively. |
Expected Outcome 4. Demonstrated ability to describe and explain a theorem, statistical formula/model, and a solution of a problem in broad terms to a non-specialist audience. |
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Assessment Methods
& Tools |
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Method(s), Measure(s), and Instrument(s) for Expected
Outcome 1. •
Statistics Major Student Portfolio •
Exit Interviews •
Senior Projects |
Outcome 1 Starting Date for the Implementation: • Statistics Major Student Portfolio: Spring, 2003. • Exit Interviews: Spring, 2003. • Senior Projects: Spring, 2002. Anticipated Date for the First Results: • Statistics Major Student portfolio: Spring, 2003. • Exit Interviews: Spring, 2003. • Senior Projects: Spring, 2002. |
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Method(s), Measure(s), and Instrument(s) for Expected
Outcome 2. •
Statistics Major Student Portfolio • Senior Project (senior seminar presentation) |
Outcome 2 Starting Date for the Implementation: • Statistics Major Portfolio: Spring, 2003. • Senior Project: Spring, 2002. Anticipated Date for the First Results: • Statistics Major Student Portfolio: Spring, 2003. • Senior Project: Spring, 2002. |
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Method(s), Measure(s), and Instrument(s) for Expected
Outcome 3. •
Survey of Graduates •
Graduate school acceptance rates • Reports from outside sources like the Mayo Clinic, and other major employers or graduate educators. |
Outcome 3 Starting Date for the Implementation: Acceptance Rates: Summer, 2002 Success Rates: Summer, 2002 Anticipated Date for the First Results: Acceptance Rates: Summer, 2003 Success Rates: Summer, 2003 |
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Method(s), Measure(s), and Instrument(s) for Expected
Outcome 4. • Student papers from
various courses in student portfolio. •
Student presentations in some courses with attendance of faculty from and
outside the Statistics discipline (including community representatives in
some cases) •
Senior seminar presentation and paper. • Student publications, UROP and MAP reports. |
Outcome 4 Starting Date for the Implementation: • Student Portfolio: Spring, 2003. • Senior Project: Spring, 2002. Anticipated Date for the First Results: • Student Portfolio: Spring, 2003. • Senior Project: Spring, 2002. |
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(*) Statistics Major Portfolio
will have the following sections:
A. Characteristics of Entering
Students
An
essay written by students on their expectations and academic plans
B. Learning Development of
Students in Statistics during their Stay at UMM
Specially
designed examinations from the core courses
Course
project reports
An
essay on development of statistical ideas
A
self-report of learning by students on each Statistics course that they have
taken (which will include
answers to questions like: What did you learn?, Why do you think that this
course is important
in your Statistics education?, How will you be able to use the knowledge that
you have
gained in this course after your graduation?)
C. After graduation
Survey
of Graduates
After the
review of the Statistics faculty, the results of the assessment and the
portfolios prepared by the students will be delivered to the external
consultants/reviewers for input.
Phase II.
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Use of Observed
Outcomes and Possible Actions |
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Please comment on the possible use of the findings of
your assessment plan. (In responding to this question you may want to consider the following issues; how would the results of the assessment be communicated to faculty in you own and other disciplines? how could the results be used to improve the student learning and programs? how could the results produce input to other related processes (e.g., academic and nonacademic planning, curriculum review)? how could the results of the assessment change your unit’s mission/goal(s)? with which other units would you like to share the results of your assessment?) Each statistics faculty member will examine the student portfolios
and other relevant data and give comments to the discipline. The Statistics Discipline will assemble and distribute a report to
the discipline and to other departments by paper, e-mail, or web posting. We propose to produce a report every two years. This process will help identify areas that are successful and ones
that need further work. These areas will be identified and communicated back
to the discipline for possible course or program changes. |
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The Implementation
Needs |
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Please comment on the information and assistance
necessary for the successful implementation of your assessment process. (In responding to this question you may want to consider
issues like; what are the other units (e.g., other disciplines, programs,
administrators and/or committees that should produce input for the successful
completion of your assessment cycle? what type of input do you need from
other units? what should be the function of the Assessment of Student
Learning Committee and Coordinator to increase the effectiveness of your
unit’s assessment process? what type of support might your unit need
for the planning and application of your assessment cycle?) We need
convenient reporting of the Career Center survey of past graduates. We need
convenient access to the graduating senior survey that will be conducted by
the UMM Campus Assessment group. We need some
sort of convenient mechanism for getting input from outside the statistics
discipline. For example, a survey filled out by other disciplines regarding
the statistics program. We need
institutional support for outside reviewers to evaluate our program on a
periodic basis. We need an
e-mail list, and a paper list of all statistics majors so that we can
communicate better. |
Phase III.
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Application: Observed
Outcomes |
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Please comment on your findings of the implementation
of the assessment methods and tools. (In responding to this question you may want to summarize
your findings, provide data that supports your interpretations, discuss the
validity of your results, and suggest ways of improving the methods and tools
that you have used.) In our broad experience in classes, we have found that
the ability of students to clearly describe the meaning of a statistical
finding was impaired. The assessment of our technology enhanced learning
environments yielded a survey result that students found technology
enhancements made to existing courses beneficial. |
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Actions Taken |
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Please comment on the actions that you have taken or
planning to take based on your findings. (In responding to this question you may want to consider
the following issues; what other units were involved with the actions that
you have taken? what was the impact of the actions that you have taken on the
students’ learning? what other structures do you propose to increase
the success of you actions?) In response
to finding a need to improve statistical communication of results we have
stressed writing and speaking about statistical findings in all of our
courses. In response
to the positive feedback about the technology enhanced learning environments,
we have focused even more attention on developing these abilities for our
courses. |
Appendices
You may want to provide the
following optional information that may be relevant to your unit’s
assessment of student learning plan.
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Number of degrees granted within the past 10 years |
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Major Minor Area of
Concentration Emphasis Teacher
Education |
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Please
list the graduates of your program who are(were) in the graduate programs and
provide approximate acceptance rate for your graduates Brett
MacAlpine (94) graduated, MS,
University of Minnesota, Statistics Michele
Johnson (95) University of
Minnesota, Statistics Lee
Ann Wirth (95) University of
Iowa, Statistics Michelle Mathiason (97) Oregon State University, StatisticsRoss
Dierkhising (97) Iowa State
University, Statistics Lisa
Hollerman (97) Iowa State
University, Computer Science Ben
Winchester (97) University of
Missouri, Sociology Joanna
Turner (96) University of
Wisconsin, Statistics Wen
Hong Wong (98) University of Iowa, Statistics/Actuarial Science Jessica
Stoering (99) University of Minnesota, Statistics. Matthew
Soukup (99) University
of Virginia, Statistics. Rufino
Rodriguez (99) University of Minnesota, Medical School. Mollie
Jo Poehlman (00) Kansas State University, Statistics. Danelle
Schuster (00) Kansas State University, Statistics. B.J.
Friedrichs (00) South Dakota State University, Athletic Management Angela
Bos (01) University of Minnesota, Political Science. Katie
Forbes (01) North Dakota State University, Pharmacy. Penny
Sinner (01) University of Minnesota, Epidemiology, School of Public Health Lisa
Thackeray (01) University of Minnesota, Biostatistics, School of Public
Health Nicole
Wyman (01) University of Minnesota, Biostatistics, School of Public Health Amanda
Wobbema (01) University of Michigan, Epidemiology, School of Public Health Jillian
Evans (02) University of Maryland, Public Policy. Allison
Harell (02) McGill University, Political Science. Ivan
Ramler (02) Iowa State University, Statistics. Julie
Retrum (02) University of Kansas, Geology. Nick
Urick (03) Oklahoma State University, Statistics. Paul
Buzinec (03) University of Iowa, Statistics. |
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Please
list the post graduate activity of your students and provide approximate
percentages for each group Actuarial
Career(10%): Craig
Schwaegerl (91-92) Melissa
Ahman (95) Alliance Life Insurance Company of America Daniel
Seyfield (96) Lutheran Brotherhood, Minneapolis Brad
Zarn (99) St. Paul Companies Statistics
Career(40%): Mayo
Clinic/Allina Health System Ryan Bolduan (97 Emphasis Statistics) Ross
Dierkhising (97) Mayo Clinic Jeff
Thostenson (99) Mayo Clinic Gina
Garding (99) (Statistics Concentration) Mayo Clinic Debra
Kielhold (99) (Statistics Concentration) Medtronic Inc. Eric
Bass (98) (Statistics
Concentration) Mayo Clinic Aaron
Koelman (98) (Statistics emphasis) Augsburg Publishing/? Ed
Blok (00) (Statistics Emphasis) Unknown Susan
Bakken (00) (Statistics Emphasis) Musicland. Danelle
Schuster (00) Prachs Institute, Fargo ND. Mollie
Jo Poehlman (00) University of Minnesota, Division of Biostatistics, School
of Public Health. Shaun
Maloney (02) USDA, Ann Arbor Michigan, Statistics. Dave
Borgerding (03) Insurance Company, Wisconsin. Graduate
School: (40%) See
above Other
Career(10%): Deanne
Nordberg (99) Unisys Ron
Morris (99) U. Wisconsin Green Bay Barbara
Baratto (99) Unknown Jered
Schmillen (00) Unknown Chad
Logid (00) Unknown Aaron
Arneberg (01) Unknown Joel
Leet (01) Unknown |
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Please
list student publications in your program that took place within the past 10
years Anderson,
Kershner, Long, Garding (99) "Violence Against Women in West-Central
Minnesota. CURA Reporter, 29,
13-19. |
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Please
list student projects in your program that implemented within the past 10
years, such as UROP, MAP, etc. Ross
Dierkhising (97) MAP with Jon Anderson (95-96) Ross
Dierkhising (97) UROP with Jon Anderson (96-97) Eric
Bass (98) MAP with Jon Anderson (96-97) Ryan
Bolduan (97) UM Graduate School Grant with Jon Anderson (96-97) Gina
Garding (99) UM CURA Grant with Jon Anderson (97-98) |
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Please
list student presentations/performances/artistic exhibitions in your program
that took place within the past 10 years Ryan Bolduan - SAS Users Group Conference, San Diego, 97Nick
Urick (03) UMM Undergraduate Research Symposium Jelena
Kmezic (03) UMM Undergraduate Research Symposium Dave
Borgerding (03) UMM Undergraduate Research Symposium |
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Please
list honors and awards that the students in your program earned within the
past 10 years Jelena
Kmezic (03) Scholar of the College Angela
Bos (01) Scholar of the College |
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Please
comment on the success of your graduates on professional and graduate program
exams Those students that enter graduate school in statistics and in other fields find their statistical education is excellent preparation for graduate work. References by Ivan Ramler, Angela Bos, Allison Harell, and Mollie Jo Poehlman. |
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Please
list participation of your students in special programs such as study abroad,
internships etc. Jelena
Kmezic (03) Study Abroad, New Zealand. |
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Please
present some case studies that present other learning outcomes not reflected
elsewhere Our efforts on producing technology enhanced learning environments is assessed in the document: http://www.morris.umn.edu/~sungurea/telassessment/survey.html Our efforts to assess the civic engagement activities in our courses are given at: http://www.morris.umn.edu/services/cst/statbook/ |