Developing a Prototype to Scale up Digital Support for Online Assessment Design

Publisher:
ASSOC COMPUTING MACHINERY
Publication Type:
Conference Proceeding
Citation:
L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale, 2023, pp. 393-397
Issue Date:
2023-07-20
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Educators rarely have access to just-in-time feedback and guiding heuristics when designing or updating assessments in higher education. This study describes the initial development process for an automated support system for designing high-quality online assessments. We identify key elements to embed in this digital artifact to offer just-in-time support for educators to design and evaluate their online assessments. We follow a design science approach in six stages, because it simultaneously generates knowledge about the method used to develop the artifact and the design of the artifact itself. Specifically, we focus on the early stages of problem identification, solution objectives, and initial conceptual design. After reviewing multiple assessment models and frameworks, we discuss a recent framework for evaluating and designing high-quality online assessments, consisting of ten design and contextual elements. This framework underpins the proposed solution which is a digital artifact that encourages consideration of alternate forms of assessment while retaining the flexibility to operate within individual educators' design practices and contexts. We expect the proposed system to help educators and instructional designers to better understand the strengths and weaknesses of their assessments, consider alternate forms of assessment, and incorporate the system into their assessment design process.
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