Feasibility of Machine Scoring of Concept Maps: CRESST Technical Report

CRESST Technical Report 460 documents research by the Center for Research on Evaluation, Standards, and Student Testing on the feasibility of scoring concept maps using technology. The report describes an integrated simulation approach with an online concept mapping construction and scoring system, as well as studies on collaborative concept mapping in networked environments. It was authored by Harold F. O'Neil, Jr. and Davina C. D. Klein for the UCLA Center for the Study of Evaluation.

Use Cases

• Developing automated scoring algorithms based on expert criterion maps mentioned in the description.
• Researching collaborative learning assessment using networked concept mapping environments described in the report.
• Building educational software that provides real-time feedback to students during concept map construction.
• Exploring technology solutions for scoring paper-and-pencil concept maps in low-resource school settings.

Strengths

• Report includes 2 tables and 3 figures, providing structured data visualizations.
• Research is documented by CRESST, a center focused on educational evaluation and testing.
• The description references 12 cited sources, suggesting a foundation in prior literature.

Limitations

• The actual dataset of concept maps, scores, or features is not available; only a research report is provided.
• Row count and column-level documentation for any underlying data are unknown.
• Last update date is unknown; freshness unverified.

Provenance

Source

Center for Research on Evaluation, Standards, and Student Testing (CRESST), UCLA Center for the Study of Evaluation.

Collection Method

Research report documenting feasibility studies and technology exploration.