Expert Validation Sheet for an AI-Based Project-Based Learning Model
by Ahmad Swandi·Updated 1mo ago
22.2 KB1files
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Description
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.
Data is provided in a DOCX file format, which may require conversion for programmatic analysis.