|
Activity Number:
|
69
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Sunday, August 2, 2009 : 4:00 PM to 5:50 PM
|
|
Sponsor:
|
Section on Statistical Education
|
| Abstract - #303398 |
|
Title:
|
Automated Individual Student Assessment System
|
|
Author(s):
|
Stanislav Kolenikov*+
|
|
Companies:
|
University of Missouri-Columbia
|
|
Address:
|
Department of Statistics, Columbia, MO, 65211,
|
|
Keywords:
|
grading ; simulated data ; Stata
|
|
Abstract:
|
Statisticians use Monte Carlo methods routinely to simulate random data and run new estimation procedures on those. How about simulating data for students to use in their homework? Each student gets a unique copy of a data set, which serves at least two purposes. First, each student has to interact with the software and interpret their own answers. Second, verbatim copying of answers is not meaningful. Since the random number generator seeds are fixed, we can also generate the answer keys and match students' answers to those keys. A system that automatically manages all the students grading tasks using Stata software will be presented. Applications in the classroom and students' reaction to the system will be discussed.
|
- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
Back to the full JSM 2009 program |