Taxonomy of Active Learning: Undergraduate Student Cognitive and Affective Data
by Ronald Wesonga·Updated 1mo ago
12.8 KB1files
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Description
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