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Assessment of Learning (AOL) in Undergraduate Business Analytics (BSAN) Courses BSAN I: Business Statistics BSAN II: Introduction to Management Science.

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Presentation on theme: "Assessment of Learning (AOL) in Undergraduate Business Analytics (BSAN) Courses BSAN I: Business Statistics BSAN II: Introduction to Management Science."— Presentation transcript:

1 Assessment of Learning (AOL) in Undergraduate Business Analytics (BSAN) Courses BSAN I: Business Statistics BSAN II: Introduction to Management Science Ping Wang, Ph.D Department of Computer Information Systems / Business Analytics James Madison University Harrisonburg, VA 22807

2 Assessment at James Madison University
University – wide assessment For many years All of the programs on campus The university assessment day in Spring semester College of Business Assessment activities for each major Comments from AACSB campus visit For majors in the last ten to fifteen years

3 Assessment of Learning for Business statistics
Business Analytics Curriculum Committee For the last ten to fifteen years Confidential policy: the results are either shared nor reported at department / college level Communications among business courses that have Business Statistics as prerequisite course What to assess? Basic concepts, statistical reasoning skills, and problem solving skills Assessment instruments: Course – wide common final exam, and Excel skills for graphical and numerical statistics

4 Course – wide Common Final Exam
From basic concepts to hypothesis tests Comprehensive, but more on central limit theorem and inferential statistics 55 questions for the contents of the whole course Reports: Done by one senior faculty member Average percentage of students answered correctly for each question The instructor’s percentage of students answered correctly for each question Marking of within, below, or above the two standard deviation limits for each question Improvements in teaching 

5 Assessment of using Excel skills
Instruments Excel for graphical descriptive statistics Excel for numerical descriptive statistics


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