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Independent Interactive InquiryBased I3 Learning Modules

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Title: Independent Interactive InquiryBased I3 Learning Modules


1
Independent Interactive Inquiry-Based (I3)
Learning Modules
  • Lisa Green, Ph.D.
  • Scott McDaniel, Ed.D.
  • Ginger Rowell, Ph.D.
  • Marisella Castro, Graduate Assistant
  • Kai Guo, Graduate Assistant
  • Middle Tennessee State University

2
Outline
  • Hypothesis
  • Project Goals
  • Implementation
  • Results
  • Further Work

3
Hypothesis
  • By using audio-visual technology, interactive
    learning modules for teaching statistics can be
    developed that will provide opportunities for
    students to complete inquiry-based learning
    independent of a teacher.

4
Project Goals
  • Develop discovery-based interactive audio-visual
    instructional modules to improve student learning
    of post-calculus probability and statistics
    concepts.
  • Evaluate the effectiveness of this learning
    approach and these learning objects.

5
Implementation
6
Statistical Significance
http//mcdaniel.mtsu.edu/I_cubed/I_cubed/
Learning Goals Use simulation to help develop
the understanding of the concept of statistical
significance.
7
Evaluation of Module
  • The Statistical Significance module was assigned
    to 110 students in both Calculus-based and
    non-Calculus based classes.
  • Students took a pre-test, then did the module.
    Answers from the wrap-up portion of the module
    were compared to answers from the pre-test.

8
Questions
  • Pretest Question
  • Define p-value in the context of a difference
    between groups.
  • Wrap-up Question
  • If the p-value is around 5 or less, would you
    say that the difference in the two groups is
    likely to have occurred by some treatment other
    than chance? Explain.

9
Rubric
  • 4 points Exemplary Response, All of the
    following characteristics must be present.
  • The answer is correct.
  • The explanation is clear and complete.
  • 3 points Good Response, Exactly one of the
    following characteristics is present.
  • The answer is correct but there is a minor flaw
    in wording
  • The explanation lacks clarity
  • The explanation is incomplete

10
Rubric (Continued)
  • 2 points Inadequate Response, Exactly two of the
    characteristics in the 3-point section are
    present OR One or more of the following
    characteristics are present.
  • The answer is incorrect due to a major flaw the
    wording but implies some understanding of the
    concept.
  • Explanation lacks clarity or is incomplete but
    does indicate some correct and relevant
    reasoning.
  • There is a partial explanation but the thought is
    not carried out
  • 1 point Poor Response, two of the following
    characteristics must be present.
  • The answer is incorrect.
  • The explanation, if any, uses irrelevant
    arguments.
  • The explanation just restates the problem in
    other words
  • 0 points No Response
  • The students paper is blank or contains only
    wording that appears to have no relevance to the
    problem.

11
Rubric (Continued)
  • Examples for Statistical Significance
  • 4 The p-value is the probability of obtaining a
    result at least as extreme as the given data
    point. The p-value of an observed value is the
    probability that, given that the null hypothesis
    is true, it will have a value as or more
    unfavorable to the null hypothesis.
  • 3 The p value provides evidence that the
    results do not occur by random sampling
    variations alone.
  • 2 P-values can indicate if there is a
    significant difference in values or treatments.
  • 1 The probability that an event will occur.
  • 0 I don't know what it means.

12
Graders
  • There were 3 independent graders
  • A Graduate Assistant reviewed and graded each
    response first.
  • Each response was then graded separately by Dr.
    Green and Dr. McDaniel.
  • Lastly, Dr. Green and Dr. McDaniel met to discuss
    any grading issues that may have come up during
    the initial grading.

13
Results
14
Future Work
  • Construct questions so that they can be graded
    more easily.
  • Change the wording of some questions students may
    have found to be confusing.
  • Prepare Learning Modules for release.
  • Create addition modules.

15
I3 Learning Modules
  • This project has been made possible from funding
    by the National Science Foundation (NSF) Division
    of Undergraduate Education Materials Development
    Proof-of-Concept grant.
  • NSF 0443088
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