4R Model Decision Tree Application to University Course Assignments

A table applying the 4R Model decision tree to classify modular assignments from Social Education and Pedagogy degree courses at the University of the Basque Country. The 1.1 MB PDF file, authored by Amaia Lojo-Novo and last updated in April 2026, presents results from a study evaluating GenAI-limiting academic practices. The framework classifies assignments into 8 macro-families and 37 practice families based on the presence of non-automatable evidence.

Use Cases

• Classifying academic assignments based on their vulnerability to generative AI automation using the described decision tree.
• Evaluating the 'GenAI-limiting' potential of course modules based on principles of Reality, Relationship, Responsibility, and Realisation.
• Informing assessment redesign to ensure competency acquisition is not undermined by AI, as referenced in the study's application to ten modular assignments.

Strengths

• Framework is based on a defined 4R Model and a seven-step decision tree.
• Application is documented for specific degree programmes at a named university.
• Results include classification into 8 macro-families and 37 practice families.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The data is contained in a 1.1 MB PDF, which may require extraction for computational analysis.

Provenance

Source

figshare, authored by Amaia Lojo-Novo.

Collection Method

Produced via a Design-Based Research approach involving conceptual delimitation, typology construction, and iterative refinement.

Time Range

Study period not specified; data reflects application to modular assignments from the referenced degree courses.

Freshness

Last updated 2026-04-16 23:44:37; freshness should be verified.

Geography

University of the Basque Country.