MOOC Course Descriptions and Teacher Team Characteristics for Attractiveness Research

Harvard Dataverse hosts a dataset used in the study "Behind the Enroll Button: How Course Descriptions and Teacher Teams Characteristics Affect MOOC Attractiveness." The dataset was authored by QIU, SHOUXIANG and was last updated on June 9, 2026. It likely contains variables related to course descriptions and instructor team composition.

Use Cases

• Predicting course enrollment based on textual features of course descriptions.
• Analyzing the relationship between teacher team composition (e.g., size, credentials) and course attractiveness.
• Training NLP models to identify persuasive language patterns in educational marketing materials.
• Conducting feature importance analysis to determine which course description elements most impact student interest.

Strengths

• Dataset is associated with a specific, named research paper, providing academic context.
• Hosted on Harvard Dataverse, a reputable academic data repository.
• Last updated date (2026-06-09) is provided.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Harvard Dataverse, authored by QIU, SHOUXIANG.

Collection Method

Likely collected for the associated research paper on MOOC attractiveness.

Freshness

Last updated 2026-06-09 16:19:07; freshness should be verified.