Vivek Bachhawat
Advisor: Dr. Brian Ladd (Computer Science)
Client to Project: Dr. Robin Lock (Mathematics)
SLU Festival of Science 2001 Oral Presentation
Computer Aided Instruction Tools in JAVA for Different
On-Campus Departments
My project was to research and create a
software package that can be used by different departments on campus for
instructional purposes. I spent 8 weeks during summer of 2000 learning
Java and designing this package, under the SLU Fellowship program. Using
this package, students can visualize the theoretical ideas they work on
in a class. Texts on any topic provide static information whereas computer
based applets (web software) are interactive and hence helps constructive
learning of the topic. With computer-generated programs, students can see
how changes in a single data point affect the results of data analysis
dynamically. This package can be customized and be used by any department
on campus and as an example, I specialized the package for Mathematics
department at St. Lawrence University. Any student who wishes to explore
introductory statistics can use this package. I created the software to
be used as a teaching-learning tool, which is not achieved by conventional
software. Here students can use one part of the software to learn the concepts
and then use the other part, as a game, to test the skills acquired. The
following applets that I created using the package are targeted for statistics
students but anyone interested in the subject can use it with ease.
(i) Distribution Applet
(ii) Distribution Game Applet and
(iii) Hypothesis Testing Applet
(i) The Distribution
Applet is a tool for learning Statistics Distributions. It generates
different Statistics ‘Random number distributions’ viz Uniform, Discrete
Uniform, Geometric, Normal, Binomial, Exponential and Poisson distribution
based on student’s selection. The Applet has various inputs depending on
the type of distribution chosen and the help files describe the procedure
and gives description of the different types of distribution.
(ii) The Distribution
Game Applet is complementary to the Distribution applet. This applet
is designed as a game that tests the knowledge of the student about Statistics
distributions. Students are presented with a set of data, randomly generated
by the computer, and are asked to make an educated guess of the distribution,
based on the given data. The Distribution applet helps student learn various
Statistics distribution concepts and the Distribution Game applet tests
the skills acquired by the former applet. Thus both the applets work together
as a teaching-learning tool.
(iii) Hypothesis
Testing Applet uses the hypothesis testing procedure of a given statistical
theory and gives the null hypothesis “the benefit of a doubt”, that is
to accept the null hypothesis unless there is strong evidence to support
the alternative. The students can control the various variables of the
given hypothesis and the applet updates the changes dynamically.