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Writing Assignments in an Introductory Statistics Course

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Title: Writing Assignments in an Introductory Statistics Course


1
Writing Assignments in an Introductory Statistics
Course
  • Joy Jordan, Lawrence University
  • joy.jordan_at_lawrence.edu
  • May 13, 2008 (CAUSE webinar)

2
Important Points from the Writing Literature
  • Use of writing as a learning tool (I think we are
    already sold on this idea)
  • Suggestions about assignment creation
  • Research about revision and feedback
  • Descriptions of different types of writing

3
Assignment Creation
  • Clear definition and articulation of assignments
  • Specify RAFT criteria Role, Audience, Format,
    and Theme/Task/Topic (adapted from Bean, 2001)
  • Include a grading rubric (make expectations clear
    to students)
  • When planning assignments, teachers need to
    consider not only the learning goals they have
    set for their courses but also the thinking and
    writing processes that they want to invoke in
    their students as learners. (Bean, p. 77)

4
Revision and Feedback
  • Importance of revision
  • Research indicates that when teachers make
    remarks on papers and return those papers to
    students while offering them no opportunity to
    revise, the remarks have little effect on
    subsequent papers. (Dohrer, 1991)
  • Student misunderstanding of the revision process
  • Students typically think of revision at the
    micro- or editing-level (e.g., finding the right
    word, correcting grammar), whereas experienced
    writers believe revision involves macro-level
    changes (e.g., restructuring, additions,
    deletions) (Sommers, 1980)

5
Revision and Feedback
  • The message your feedback sends to your students
  • Feedback mistakes (see e.g., Sommers 1982, Bean
    2001)
  • Too vague (comments that are not specific to the
    student text and give no guidance for change)
  • Too many (give no sense of priorities for
    revision)
  • Too micro-level (give the impression that
    revision really is simply an editing process)
  • Too negative (important to additionally point out
    what a student has done well)

6
Revision and Feedback
  • Potential time savers
  • Thoughtful assignment creation (well-planned
    assignments are easier and more enjoyable to
    grade)
  • Smaller microthemes (Bean, 2001)
  • Ways of marking (put simple check marks next to
    lines that contain grammatical errorsHaswell,
    1983 put a straight line under sentences that
    are especially well written and a wavy line under
    passages that are problematicElbow, 1997)
  • Peer review of writing (see e.g., Holt 1992, Bean
    2001)

7
Types of Writing
  • Informal versus formal writing (see e.g., Britton
    1975, Elbow 1997)
  • If we are not so much teaching writing as using
    writing to teach something else, it makes
    particularly good sense to use lots of minimal
    and low stakes response. (Elbow, 1997)

8
Examples for the Statistics Classroom
  • Informal/low-stakes writing assignments
  • In-class, free-response writing in answer to a
    question (e.g., Why is the variability of the
    sample mean smaller than the variability of
    individual observations?)
  • Journal writing (e.g., responses to class
    reading, activities, homework problems, or
    experiences with statistics outside of class)
  • Minute papers at the end of class

9
Examples for the Statistics Classroom
  • Formal/high-stakes writing assignments
  • Press release summarizing, in layperson terms,
    the results of a complicated experimental study
  • Letter home in response to a statistics question
    from a parent
  • Letter to the editor in response to a newspaper
    article that makes use of statistics
  • Statistics project report (intro, methods,
    results, discussion) or just one focused part of
    the report
  • Mathematics or statistics autobiography
  • Meaningful paragraph (write about statistics
    terms appropriately in context)

10
Examples from my Classroom
  • Assignment 1
  • Suppose you receive the following letter from
    your dad
  • Hey Kiddo,
  • I am worried about Grandma. Remember that she
    was diagnosed with high blood pressure? Well,
    shes currently taking the medication Makemewell
    to lower her blood pressure. At the time of
    Grandmas diagnosis, her doctor said that a
    randomized, double-blind experiment had been
    conducted and that Makemewell was shown more
    effective in lowering blood pressure than a
    placebo. To be honest, I have no idea what any of
    that means, but I believed and trusted the
    doctor. Now Ive heard two stories that make me
    think differently. Larry, our next-door-neighbor,
    was taking Makemewell and he got a terrible fever
    that put him in the hospital. Also, my co-worker,
    Sally, actually had her blood pressure go up
    while she was taking Makemewell! Im now very
    suspicious of this medication.
  • I know that youre taking a statistics course at
    college. Based on the information Ive given you,
    do you think Grandma should stop taking her
    medication? Whatever your opinion, will you
    please explain yourself thoroughly and clearly?
    (I will draw on your responses when I talk with
    the doctor.) And please dont use any statistics
    mumbo-jumbo that I wont understand. I really
    appreciate your help with this.
  • Love, Dad
  • Your assignment is to type a 1-2 page letter
    (single-spaced, 12-pt. font) responding to your
    dad.

11
Examples from my Classroom
  • Assignment 1 Grading Criteria (25 points
    possible)
  • ____ The explanation to your dad convinces me
    (your teacher) that you understand the following
    what a randomized, double-blind experiment is
    what anecdotal evidence is and which of these
    data collection methods is appropriate for
    decision making. (10 points)
  • ____ The explanation to your dad is thorough,
    well organized, and clear. (5 points)
  • ____ The explanation to your dad is presented in
    non-technical terms that he will understand. (5
    points)
  • ____ You successfully paid attention to accepted
    conventions of language use (syntax, spelling,
    grammar, readability, etc.) (5 points)

12
Examples from my Classroom
  • Assignment 2
  • Suppose you receive another letter from your dad
  • Hey Kiddo,
  • Thanks so much for your response to my last
    letter. I now understand what a randomized,
    double-blind experiment is, and I feel better
    about the money Im spending on your college
    education. Grandma is still taking Makemewell,
    and were monitoring her progress.
  • I got more information from the doctor about the
    Makemewell experiment. The doctor said that 40
    high-blood-pressure patients took Makemewell and
    40 patients took a placebo (and the patients were
    all around Grandmas age). The average reduction
    in systolic blood pressure was 19.5 millimeters
    of mercury (mm Hg) for the Makemewell group and
    9.1 mm Hg for the placebo group. This much I can
    understand. Then the doctor mentioned
    significance testing (and hypotheses), and she
    said the difference in average blood pressures
    was statistically significant based on a p-value
    that was less than 0.001. Do you know what the
    doctor is talking about? What are all these
    terms, and how can they help me understand the
    effect of Makemewell? As before, please explain
    yourself thoroughly and clearly, and dont use
    any technical language.
  • Im really glad youre taking a statistics class
    this term. Your knowledge has been very helpful.
  • Love, Dad
  • PS Im enclosing a check to get you through the
    rest of the term.
  • Your assignment is to type a 1-page letter
    (single-spaced, 12-pt. font) responding to your
    dad.

13
Examples from my Classroom
  • Lessons learned from letter-to-dad assignments
  • Modification of the rubric for assignment 1
    (from you understand the statistical concepts
    involved in the assignment to something more
    specific)
  • Assignment 2 illuminated more student
    misperceptions than did assignment 1
  • Even though the assignments were focused
    microthemes, the grading load was still too large
    for me (true confession I havent yet truly
    learned the time-saving methods I previously
    mentioned)

14
Examples from my Classroom
  • Elaine Backus, an entomology professor at the
    University of Missouri, created a writing
    assignment called a meaningful paragraph
  • She defines a meaningful paragraph as one
    continuous piece of writing that uses all of the
    words from a given subset and in which the
    sentences make sense and hang together

15
Examples from my Classroom
  • Meaningful Paragraph Assignment 1
  • Write a meaningful paragraph that includes the
    following terms correlation, causation,
    regression line, predicted value(s), scatterplot,
    residual(s), and outlier(s). (The paragraph you
    turn in should be typed, not hand written.
    Furthermore, please proofread your paragraph
    before turning it in.)
  • A meaningful paragraph is one continuous piece
    of writing, which uses all of the listed words
    and in which the sentences make sense and hang
    together. That is, the ideas in the paragraph
    must illustrate you understand the new terms in a
    way that allows you to write meaningfully about
    them in context. You may not simply write seven
    sequential sentences, for example, that merely
    define the terms sentences must demonstrate
    appropriate relationships between the terms.
  • Example Meaningful Paragraph
  • (For the terms mean, median, distribution,
    standard deviation, outlier, and skewed)
  • The CEO of a local company said the mean annual
    salary for the companys employees is 57,000.
    Upon further investigation of the data, though,
    the distribution of annual salaries appears
    severely right skewed. Hence, the median (rather
    than the mean) is really a better measure of
    typical annual salary, since the mean is pulled
    up by the high salaries in the long tail of the
    distribution. Because the mean is not the best
    measure of typical salary, the standard deviation
    should not be used as a measure of the variation
    in the salaries (since it measures the spread
    from the mean). The CEO thought the high average
    value might entice workers to apply for jobs at
    the company. In fact, the CEOs salary (840,000)
    is an extreme outlier in the distribution (its
    well outside even the long right tail), and her
    income value inflates the average company salary
    in a misleading way.

16
Examples from my Classroom
  • Meaningful-paragraph terms used in next three
    assignments
  • bias, nonresponse, parameter, population, random
    sample, statistic, and undercoverage
  • sampling distribution, population mean, sample
    mean, normal distribution, sample size, and
    probability
  • statistical significance (or statistically
    significant), probability, population mean,
    sample mean, P-value, and practical significance
    (or practically significant).
  • Positives about the meaningful paragraphs
  • Much less time grading
  • Gives students the opportunity to be creative,
    yet also clearly shows students misperceptions

17
General Suggestions
  • Heed the advice of the writing-to-learn
    literature (yet adjust to your course goals and
    teaching style)
  • Purposefully design writing tasks to meet
    learning goals (and consider the thinking process
    associated with the writing exercise)
  • Start small (always good advice) and make
    appropriate adjustments along the way
  • Find colleagues to join you on your journey
    (e.g., teaching circle)

18
A Few Resources
  • Bean, J. (2001), Engaging Ideas The Professors
    Guide to Integrating Writing, Critical Thinking,
    and Active Learning in the Classroom, San
    Francisco Jossey-Bass.
  • Britton, J., Burgess, T., Martin, N., McLeod, A.,
    Rosen, H. (1975), The Development of Writing
    Abilities (11-18), London MacMillan.
  • Dohrer, G. (1991), Do Teachers Comments on
    Students Papers Help? College Teaching, 39(2),
    48-58.
  • Elbow, P. (1997), High Stakes and Low Stakes in
    Assigning and Responding to Writing, in
    Sorcinelli Elbow (eds.), Writing to Learn
    Strategies for Assigning and Responding to
    Writing Across the Disciplines (pp. 5-13), San
    Francisco Jossey-Bass.
  • Emig, J. (1977), Writing as a Mode of Learning,
    College Composition and Communication, 28(2),
    122-128.
  • Fulwiler, T. (1982), Writing An Act of
    Cognition, in Griffin, C.W. (ed.), New
    Directions for Teaching and Learning Teaching
    Writing in All Disciplines (pp. 15-26), San
    Francisco Jossey-Bass.
  • Haswell, R. (1983), Minimal Marking, College
    English, 45(6), 600-604.
  • Herrington, A. (1981), Writing to Learn Writing
    Across the Disciplines, College English, 43(4),
    379-387.
  • Holt, M. (1992), The Value of Written Peer
    Criticism, College Composition and
    Communication, 43(3), 384-392.

19
A Few Resources
  • Langer, J.A. and Applebee, A.N. (1987), How
    Writing Shapes Thinking A Study of Teaching and
    Learning, National Council of Teachers of
    English.
  • MacAllistar, J. (1982), Responding to Student
    Writing, in Griffin, C.W. (ed.), New Directions
    for Teaching and Learning Teaching Writing in
    All Disciplines (pp. 59-65), San Francisco
    Jossey-Bass.
  • Radke-Sharpe, N. (1991), Writing as a Component
    of Statistics Education, The American
    Statistician, 45(4), 292-293.
  • Rose, B. (1989), Writing and Mathematics Theory
    and Practice, in Connolly Vilardi (eds.),
    Writing to Learn in Mathematics and Science (pp.
    15-30), New York Teachers College Press.
  • Samsa, G. and Oddone, E. (1994), Integrating
    Scientific Writing into a Statistics Curriculum
    A Course in Statistically Based Scientific
    Writing, The American Statistician, 48(2),
    117-119.
  • Sommers, N. (1980), Revision Strategies of
    Student Writers and Experienced Adult Writers,
    College Composition and Communication, 31(4),
    378-388.
  • Sommers, N. (1982), Responding to Student
    Writing, College Composition and Communication,
    33(2), 148-156.
  • Stromberg, A. And Ramanathan, S. (1996), Easy
    Implementation of Writing in Introductory
    Statistics Courses, The American Statistician,
    50(2), 159-163.
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