The Benefits of Using a Course Disk to Aid in the Instruction of Statistics Courses


Authors: 
Jamis J. Perrett
Volume: 
18(3)
Pages: 
online
Year: 
2010
Publisher: 
Journal of Statistics education
URL: 
http://www.amstat.org/publications/jse/v18n3/perrett.pdf
Abstract: 

A course disk in either CD or DVD format can be very beneficial to online, hybrid, or distance courses in statistics as well as traditional on-campus courses, augmenting existing technologies like course management systems. A typical course disk may include the syllabus and course outline, calendar, instructions, lecture notes and lecture outlines, handouts, assignments, interactive content such as quizzes and surveys, software, statistical tables, example program files, program code, data files, video lectures and tutorials, and pertinent website links. In most cases, a course disk would be used in addition to traditional methods like course management systems rather than in place of these traditional methods. Most of the benefits of a course disk are shared with course management systems like Blackboard or Moodle; however, a course disk has the distinct advantages that it need not rely on internet access and it provides access to course materials after a course has ended.<br><br>One course disk was developed and used in teaching a graduate-level introductory statistical methods course in three different settings: distance learning off-campus condensed course, online course, and traditional on-campus course. The course disk provided a variety of benefits across delivery formats as well as benefits unique to each delivery format.<br><br>This article will (1) review relevant literature, (2) describe the course disk and compare its use to other content delivery methods, (3) discuss the experiences and evaluation of using the course disk in three different settings and how the students in each setting benefited from using the course disk, and (4) discuss the necessary hardware and software and the process of making a course disk.

The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education