HCOct 12, 2019

Multilevel Visualisation of Topic Dependency Models for Assessment Design and Delivery: A Hypergraph Based Approach

arXiv:1910.05514v11 citations
Originality Synthesis-oriented
AI Analysis

This work addresses assessment design and delivery for educators and course designers, but it appears incremental as it builds on existing graph-based visualization approaches.

The paper tackles the challenge of designing and delivering assessments in evolving educational environments by proposing a two-weighted hypergraph model to represent assessment materials and their mapping to learning objectives, with a case study demonstrating its application using data from an introductory programming course.

The effective design and delivery of assessments in a wide variety of evolving educational environments remains a challenging problem. Proposals have included the use of learning dashboards, peer learning environments, and grading support systems; these embrace visualisations to summarise and communicate results. In an on-going project, the investigation of graph based visualisation models for assessment design and delivery has yielded promising results. Here, an alternative graph foundation, a two-weighted hypergraph, is considered to represent the assessment material (e.g., questions) and their explicit mapping to one or more learning objective topics. The visualisation approach considers the hypergraph as a collection of levels; the content of these levels can be customized and presented according to user preferences. A case study on generating hypergraph models using commonly available assessment data and a flexible visualisation approach using historical data from an introductory programming course is presented

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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