Taxonomy of Active Learning: Undergraduate Student Cognitive and Affective Data

57 undergraduate students' data were collected to investigate relationships among cognitive learning constructs, affective competencies, demographics, and instructional format. Composite indicators for Knowledge, Application, and Integration were constructed from formative assessments, while additional measures captured engagement and learning orientation. The dataset was authored by Ronald Wesonga and last updated on April 25, 2026.

Use Cases

• Analyze relationships between cognitive constructs and instructional format based on composite indicators mentioned in the description
• Model the influence of affective competencies on learning outcomes based on engagement and orientation measures
• Investigate demographic characteristics' impact on key learning domains based on the collected student data

Strengths

• Data from 57 undergraduate students provides a specific sample size
• Composite indicators for three key learning domains (Knowledge, Application, Integration) are constructed
• Includes both cognitive and affective measures as described

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• The dataset is 12.8 KB, indicating a very limited scope

Provenance

Source

figshare

Collection Method

Data collected from undergraduate students, likely via surveys or assessments.

Freshness

Last updated 2026-04-25 14:51:23; freshness should be verified