Sustainable assessment for large science classes : non-multiple choice, randomised assignments through a Learning Management System
Schultz, Madeleine (2011) Sustainable assessment for large science classes : non-multiple choice, randomised assignments through a Learning Management System. Journal of Learning Design, 4(3), pp. 50-62.
This paper reports on the development of a tool that generates randomised, non-multiple choice assessment within the BlackBoard Learning Management System interface. An accepted weakness of multiple-choice assessment is that it cannot elicit learning outcomes from upper levels of Biggs’ SOLO taxonomy. However, written assessment items require extensive resources for marking, and are susceptible to copying as well as marking inconsistencies for large classes. This project developed an assessment tool which is valid, reliable and sustainable and that addresses the issues identified above. The tool provides each student with an assignment assessing the same learning outcomes, but containing different questions, with responses in the form of words or numbers. Practice questions are available, enabling students to obtain feedback on their approach before submitting their assignment. Thus, the tool incorporates automatic marking (essential for large classes), randomised tasks to each student (reducing copying), the capacity to give credit for working (feedback on the application of theory), and the capacity to target higher order learning outcomes by requiring students to derive their answers rather than choosing them. Results and feedback from students are presented, along with technical implementation details.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Journal Article|
|Keywords:||online assessment, non-multiple choice, Assessment; large classes; learning management system; computerised testing; randomised testing, HERN|
|Subjects:||Australian and New Zealand Standard Research Classification > EDUCATION (130000) > EDUCATION SYSTEMS (130100) > Higher Education (130103)|
|Divisions:||Past > Schools > Chemistry
Past > QUT Faculties & Divisions > Faculty of Science and Technology
|Copyright Owner:||Copyright © 2011 Madeleine Schultz|
|Deposited On:||13 Jul 2011 22:48|
|Last Modified:||14 Jul 2011 15:04|
Repository Staff Only: item control page