BACKGROUND: Faculty members in higher education participate in a diversity of scholarly activities. Feedback performance and data on these academic contributions must be tracked for multiple formative and summative purposes including faculty development, promotions, and annual reporting requirements. However, this data are frequently not captured, primarily because most teaching institutions have not implemented a system to effectively collect and report this data.
PURPOSE: This thesis designed prototypes for an online performance analytics dashboard for Health Sciences faculty members, including researchers, teachers, administrators, leaders, and clinical educators. This project incorporated UCD (user-centered design) to focus on the end-users and seek to understand their needs and wants.
METHOD: McMaster University was used as a case study for this Design-Based Research study. Dashboard preferences were gathered from literature reviews, stakeholder interviews, document analysis, focus groups and interviews. These findings informed the build of a dashboard prototype. Multiple iterations of end-user evaluation and prototype revisions were conducted to refine the design. A constructivist grounded theory approach was utilized to analyze qualitative data from focus group and interviews to generate theory.
RESULTS: 25 key resources from the literature review were listed in an annotated bibliography. 10 stakeholders were interviewed. Several McMaster policies and forms were reviewed. 18 faculty members reviewed the dashboard and provided feedback. Qualitative data from focus groups and interviews revealed 4 main themes pertaining to dashboard needs.
CONCLUSION: By designing prototypes, this study revealed several requirements and considerations for the construction of a faculty performance dashboard. The dashboard must be customizable, dynamic, organized by user groups, and include specific requirements for the relevant faculty roles. The quality, governance and weighting of data in the dashboard must be considered. Notably, the implementation of this solution would enhance faculty learning and assessment, data reporting and faculty development in the Health Sciences. / Thesis / Master of Science (MSc)
Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/27045 |
Date | January 2021 |
Creators | Munford, Vanessa |
Contributors | Chan, Teresa, Lokker, Cynthia, Barr, Neil, Crowther, Mark, eHealth |
Source Sets | McMaster University |
Language | English |
Detected Language | English |
Type | Thesis |
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