Expert Validation Instrument for AI-Enhanced Project-Based Learning Model

An expert validation sheet assesses the validity and feasibility of an AI-Based Project-Based Learning model. The instrument, created by Ahmad Swandi and uploaded in 2026, evaluates five main aspects using a 5-point Likert scale. Validation results were analyzed using Aiken's V coefficient.

Use Cases

• Analyze expert ratings on the 'conceptual feasibility' aspect to validate alignment with constructivist and PjBL theories.
• Compare scores across 'pedagogical validity', 'technological validity', and 'practical feasibility' to identify areas needing model revision.
• Use the 'overall assessment' Likert scale ratings to gauge general expert consensus on the model's applicability.
• Calculate Aiken's V statistics from the validation scores to quantify the instrument's content validity for each assessed aspect.

Strengths

• Structured instrument covering five defined validation aspects: conceptual, pedagogical, technological, practical, and overall.
• Validation results quantified using Aiken's V coefficient, with most aspects achieving high validity (V ≥ 0.80).
• Explicitly designed for resource-constrained educational contexts, adding practical relevance.

Limitations

• Dataset is a single 22.2 KB document, offering limited scope for statistical analysis.
• No raw expert response data or row count is provided, only summarized validation results.
• The model's validation is specific to a particular AI-PjBL framework, limiting generalizability.

Provenance

Source

Ahmad Swandi via figshare.

Collection Method

Designed as a structured validation instrument for expert judgment.

Freshness

Last updated in April 2026, indicating recent development.