Making Statistics Make Sense with Web Applets Jonathan Lee and Bethany White eCOTS Conference May 14-18, 2012 Department of Statistical and Actuarial Sciences.

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Presentation transcript:

Making Statistics Make Sense with Web Applets Jonathan Lee and Bethany White eCOTS Conference May 14-18, 2012 Department of Statistical and Actuarial Sciences

The Purpose To measure the effectiveness of web applets in increasing student comprehension, engagement, and sense of mastery. To examine how student attitudes towards statistics changes over time. Making Statistics Make Sense with Web Applets

The Subjects All students registered in the class BIO/SS 2244B – “Analysis and Interpretation of Biological Data”/”Statistics for Science” (421 students) This is a required course for many science and medical science students. 6 out of 7 required lab activity sessions Incentive: Random draw for cash prize $200 1 st place $100 2 nd place $100 3 rd place Making Statistics Make Sense with Web Applets

The Applets Descriptive statistics applets Measure of central tendency Measure of spread Hypothesis testing/Confidence Interval applets Hypothesis testing Confidence intervals All applet activities made available to all students after Term Test 2 Making Statistics Make Sense with Web Applets

Hypothesis Testing Descriptive Statistics Measures of Center Applet (197) Measures of Center Applet (197) Measures of Spread Applet (176) Measures of Spread Applet (176) Term Test 1 (421) Hypothesis Test Applet (182) Hypothesis Test Applet (182) Conf. Interval Applet (171) Conf. Interval Applet (171) Term Test 2 (412) Post-study (233) Post-study (233) Pre-study (395) Final Exam (?) Final Exam (?) Flowchart of Study (number of participants) Randomization of 10 lab sections ARTIST CAOS multiple choice items measuring hypothesis testing/ confidence interval objectives ARTIST CAOS multiple choice items measuring descriptive statistics objectives Letter of information Obtain consent Pre-SATS survey Post-SATS survey Draw for prize ARTIST CAOS multiple choice items measuring descriptive statistics and hypothesis testing/ confidence interval objectives Making Statistics Make Sense with Web Applets

Preliminary Results Making Statistics Make Sense with Web Applets

Preliminary Results Individual attitude components from SATS-36 computed and compared from pretest and posttest Cognitive competence (sense of mastery) might be useful as a predictor of exam outcomes. Making Statistics Make Sense with Web Applets

Next Steps Examine results from final exam Look at demographics as explanatory factors (gender, major, lab section etc.) Reliability analysis of tests and final exams. See forthcoming paper for more details and complete analysis Making Statistics Make Sense with Web Applets

Thank you.