Survey of 535 FANH Sciences Alumni for Data Analytics Curriculum Design

535 survey responses from alumni of a land-grant university, collected to investigate learner needs for data analytics curricula in Food, Agriculture, Natural Resources, and Human Sciences. The dataset was created by Zhihong Xu and last updated on 2026-05-27. It includes quantitative and qualitative data used to identify distinct learner subgroups based on demographic and linguistic differences.

Use Cases

• Clustering learners into subgroups based on demographic and expressed needs mentioned in the description
• Analyzing text from open-ended responses to identify divergent curriculum priorities
• Comparing tool preferences between younger professionals emphasizing technical skills and older professionals prioritizing strategic competencies
• Informing the design of differentiated learning pathways such as technical labs and strategic modules

Strengths

• Contains 535 survey responses, providing a substantive sample size for analysis
• Uses a mixed-methods approach combining quantitative and qualitative data
• Clustering analysis revealed two distinct learner groups, validated by text mining

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Data may reflect geographic or institutional bias inherent to a single university's alumni

Provenance

Source

figshare

Collection Method

Survey of 535 alumni from a land-grant university, analyzed with clustering and text mining.

Freshness

Last updated 2026-05-27 17:36:54; freshness should be verified