NOOC Evaluations: Qualitative Analysis of Flexible Teaching Methodologies in Europe

Santoveña Casal, Sonia's dataset contains a qualitative analysis of 17 interviews with university professors. The professors, who participated as students in a training program on digital methodologies, were interviewed to evaluate the quality of five Nano Open Online Courses (NOOCs). The dataset was last updated on November 23, 2025.

Use Cases

• Analyzing educator perceptions of course structure based on the 'structure' dimension mentioned in the description.
• Evaluating the effectiveness of gamification and collaborative methodologies in teacher training.
• Studying technology integration and user satisfaction in hybrid and flexible learning environments.
• Comparing pedagogical approaches across different European university contexts.

Strengths

• Analysis is based on 17 detailed interviews, providing qualitative depth.
• Focuses on six defined evaluation dimensions: structure, content, methodology, technology, cohesion, and overall satisfaction.
• Sample consists of 23 female professors from universities in Italy, Bulgaria, Romania, and Haiti, offering a multinational perspective.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The sample is limited to 23 female professors, which may not be representative of all educators.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Santoveña Casal, Sonia via e-cienciaDatos Harvested Dataverse.

Collection Method

Data gathered through interviews and focus groups conducted in English.

Time Range

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Freshness

Last updated 2025-11-23 05:10:12; freshness should be verified.

Geography

Sample includes professors from universities in Italy, Bulgaria, Romania, and Haiti.