Student Evaluations of Blended Learning Teaching Effectiveness via BARS Questionnaire

Student evaluations from a research project analyzing the validity and reliability of a BARS questionnaire for measuring teaching effectiveness in blended learning programs. It includes variables such as Age, Gender, Degree, and multiple dimensions of teaching evaluation like Time management and Overall satisfaction. The dataset was authored by Matosas-López, Luis and was last updated in February 2026.

Use Cases

• Analyze the relationship between student Age, Gender, or Degree and their Overall satisfaction with blended learning courses.
• Assess the reliability of the BARS questionnaire by examining correlations among evaluation dimensions like Explanatory capacity, Ease of follow-up, and Organizational coherence.
• Investigate factors influencing teaching effectiveness by modeling Overall satisfaction based on variables such as Time management and General availability.
• Validate the BARS questionnaire's construct validity by performing factor analysis on items like Implementation of the assessment system and Answering questions.

Strengths

• Dataset is linked to a formal research project focused on validity and reliability analysis.
• Includes 13 distinct evaluation variables covering demographic and multiple teaching effectiveness dimensions.
• Last updated in February 2026, indicating recent maintenance.

Limitations

• Sample size and number of rows are unknown, limiting assessment of statistical power.
• Geographic origin and temporal coverage of the student sample are not specified, which may affect generalizability.
• The dataset description does not provide information on data collection methodology or potential biases.

Provenance

Source

e-cienciaDatos Harvested Dataverse

Collection Method

Collected via a BARS questionnaire from students enrolled in blended learning programs for a research project.

Freshness

Last updated on 2026-02-08.