Expert Validation Sheet for an AI-Based Project-Based Learning Model

A 22.2 KB structured instrument assesses the validity and feasibility of an AI-PjBL learning model using a 5-point Likert scale. The sheet, authored by Ahmad Swandi and last updated in April 2026, evaluates five main aspects: conceptual feasibility, pedagogical validity, technological validity, practical feasibility, and overall assessment. Validation results analyzed with Aiken's V indicate most aspects achieved high validity (V ≥ 0.80), with minor improvements suggested for some technological and implementation indicators.

Use Cases

• Assessing the alignment of a learning model with constructivist and PjBL theories based on the conceptual feasibility aspect.
• Evaluating the clarity of AI integration across learning phases based on the technological validity aspect.
• Determining the suitability of a model for teachers in resource-constrained contexts based on the practical feasibility aspect.
• Analyzing the consistency between objectives, syntax, and learning outcomes based on the pedagogical coherence assessment.

Strengths

• Validation results are quantified using Aiken's V, with most aspects achieving a high validity score of V ≥ 0.80.
• The instrument systematically evaluates five distinct aspects of a learning model, providing a multi-faceted assessment.
• The description explicitly details the evaluated aspects, including conceptual, pedagogical, technological, and practical feasibility.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 22.2 KB, indicating limited scope and likely a single validation instrument.

Provenance

Source

Ahmad Swandi via figshare

Collection Method

Likely a structured survey instrument for expert judgment.

Time Range

Validation data likely corresponds to the model development period, unspecified in input.

Freshness

Last updated 2026-04-23 04:09:48; freshness should be verified.

Geography

Geographic coverage of the experts or intended implementation context is unspecified.