University Student Survey on Online Assessment Performance and Perceptions

Aggregate survey data from university students on their perception of a rapid shift to online assessment methods. The dataset includes Likert-scale and closed questions about exam conditions, difficulty, anxiety, and preferences, collected by Daniel Domínguez Figaredo and last updated in May 2024.

Use Cases

• Analyze correlations between exam conditions and student anxiety levels based on survey questions.
• Model student preferences for assessment modalities based on Likert-scale responses.
• Contrast academic performance indicators between online and face-to-face exam periods as referenced in the project description.

Strengths

• Includes multiple question types: closed, Likert-scale, and an open-ended question for qualitative feedback.
• Covers several specific perception dimensions: time, difficulty, anxiety, control, and preferences.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Daniel Domínguez Figaredo via e-cienciaDatos Harvested Dataverse.

Collection Method

Aggregate data from a student survey and contrast of academic performance indicators.

Time Range

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Freshness

Last updated 2024-05-05 07:33:44; freshness should be verified.

Geography

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