A 2026 study by Xiaoyu Wang used the Fuzzy Delphi Method to gather consensus from 12 experts on designing an instructional framework. The resulting dataset, shared on figshare, outlines key objectives, strategies, and evaluation mechanisms for a Flipped AI-Chatbot Learning module aimed at developing Environmental Literacy. The dataset is 5.5 KB in size and is available in XLS format.
Use Cases
- Designing a flipped classroom curriculum based on the identified instructional objectives and strategies.
- Developing AI chatbot interactions for pre-class learning based on the module's framework.
- Evaluating student-centered learning interventions based on the specified evaluation mechanisms.
- Studying expert consensus methodologies in educational design based on the Fuzzy Delphi Method application.
Strengths
- Dataset is based on consensus from 12 experts using a formal methodology (Fuzzy Delphi Method).
- Framework is explicitly designed to address specific challenges like low motivation and limited interaction.
- Released under a permissive CC-BY-4.0 license for reuse and adaptation.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The 5.5 KB file size suggests a very limited scope, likely containing framework criteria rather than extensive student or performance data.
Provenance
- Source
- Xiaoyu Wang via figshare.
- Collection Method
- Expert consensus gathered via the Fuzzy Delphi Method.
- Freshness
- Last updated 2026-03-18 17:27:36; freshness should be verified.
- Geography
- Likely focused on China, as the study context addresses China's environmental challenges.