Overall Aim / Goal:

Investigating Interoperability between Learning Management Systems.

Project Duration:

Full-time over 1 semester, or part-time over 2 semesters.

Project Description:

A Learning Management System (LMS) is a software platform designed to facilitate the management and tracking of student learning. A crucial part of an LMS is its ability to support the creation, delivery, and grading of questions that aid in the learning process and assessment.

Creating  quality  questions  is  a  time-consuming  task that  requires  expert  domain knowledge. Once such questions are created, academics may wish to share them to build  large  question  pools.  Unfortunately,  there  are  several  LMS  platforms,  each employing a different format for exporting and importing questions. Question and Test Interoperability (QTI) is a standardised format for creating, sharing, and exchanging assessment content. However, while some LMS platforms claim to support QTI, the exported content can rarely be imported seamlessly into a different LMS platform.

There are over two dozen LMS platforms (see R. Kraleva, M. Sabani, and V. Kralev, “An Analysis of Some Learning Management Systems,” Int. J. Adv. Sci. Eng. Inf. Technol.,  vol.  9,   no.  4,   pp.   1190–1198,  Aug.  2019),   making  interoperability  a challenging task.

The first goal of this  project  is  to  study the  extent of the  problem —  that  is,  to systematically analyse how interoperable LMS platforms are in the context of question sharing. The second goal  is  to  investigate  machine  learning  models  to  assist  in translating exports from one system so they can be imported into another system.