Human-Robot Collaboration Competency Framework for Construction Workforce Training

A dataset associated with a framework for developing human-robot collaboration (HRC) workforce training modules in construction engineering and management. The dataset includes an augmented HRC competency framework, Bloom-level classifications, learning objectives, module assignments, and expert validation results. It was created by Ebenezer Olukanni and last updated on 2026-05-27.

Use Cases

• Developing training curricula based on the augmented competency framework and learning objectives.
• Validating competency clusters and training modules using the included expert validation results.
• Analyzing semantic relationships between competencies using the semantic similarity outputs.
• Mapping learning objectives to cognitive levels using the Revised Bloom's Taxonomy classifications.

Strengths

• Framework integrates multiple evidence sources, including construction robotics documentation, case studies, and job advertisements.
• Competencies are classified into knowledge, skills, and abilities (KSA) categories and mapped to Bloom-aligned learning objectives.
• Validation involved a multi-round Delphi study with experts from academia, industry, and learning sciences.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the specific industry-facing evidence sources used.

Provenance

Source

Ebenezer Olukanni via figshare.

Collection Method

Derived from a baseline framework augmented with industry-facing evidence sources, then semantically clustered and validated by experts.

Freshness

Last updated 2026-05-27 16:15:39; freshness should be verified.