Although the project team developed the eReflect tool to support the Making Assessment Count process, the primary driver of the project was the conceptual model underlying the tool and the development of eReflect was a pragmatic decision based on the lack of suitable alternative technologies.  The team also contributed a service usage model (SUM) on their feedback process to the eFramework.

The Making Assessment Count Evaluation (MACE) project will see the Westminster team overseeing the implementation of the MAC model in an number of partner institutions, and will see the eReflect tool in use in the Universities of Bedfordshire and Greenwich, and Cardiff Metropolitan University (formerly the University of Wales Institute Cardiff).  By contrast, City University London and the University of Reading will be focusing on implementing the MAC model within Moodle (City) and BlackBoard (Reading), and exploring how the components already provided within those VLEs can be used to support this very different process and workflow.

It is perhaps the experiences of City and Reading that will be of most interest.  It’s becoming increasingly evident that there are very strong drivers for the use of existing technologies, particularly extensive systems such as VLEs, for new activities: there is already clear institutional buy-in and commitment to these technologies, institutional processes will (or at least, should!) have been adapted to reflect their integration in teaching practice, and embedding innovative practice within these technologies increases the sustainability of them beyond a limited funding or honeymoon period.  The challenges around getting MAC into Moodle and BlackBoard are those that led to the need for the eReflect tool in the first place: traditional assessment and survey technology simply isn’t designed to accommodate the process of dialogue and the engagement of a student with feedback provided that the MAC process drives.  Of course, Moodle and BlackBoard, representing community-driven open source software and proprietary commercial systems respectively, present very different factors in integrating new processes, and the project teams’ experiences and findings should be of great interest for future developers more generally.

Deployment of the MAC process in such a wide range of institutions, subject areas and technologies will provide a very thorough test of the model’s suitability and relevance for learners, as well as providing a range of implementer experiences and guidance.  I’m looking forward to following the progress of what should be a fascinating implementation and evaluation project, and hope to see learners in other institutions engage as enthusiastically and with such good outcomes as the participants in the original MAC project.