Moroccan University Student Survey on Learning Outcomes and Teaching Factors

349 Moroccan university students responded to a questionnaire measuring teacher motivation, pedagogical leadership, self-efficacy, instructional innovation, ICT use, and student motivation. Razzouki mustapha collected this data and analyzed it using fuzzy-set Qualitative Comparative Analysis (fsQCA) to identify causal configurations for high academic achievement. The dataset was last updated on April 21, 2026.

Use Cases

• Apply fsQCA to identify causal 'recipes' for academic success based on the described pedagogical and motivational conditions.
• Model the nonlinear effects of teacher motivation and ICT use on learning outcomes.
• Analyze the interaction between student motivation, self-efficacy, and instructional innovation.
• Benchmark integrated educational policy interventions against the identified reliable configurations.

Strengths

• Data from 349 student respondents provides a substantive sample for analysis.
• Explicitly designed for fsQCA, a method suited for identifying complex causal pathways.
• Measures multiple interconnected conditions (e.g., teacher motivation, ICT use, pedagogical leadership) as described.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data reflects a specific geographic and institutional context (Moroccan universities), which may limit generalizability.

Provenance

Source

Razzouki mustapha via figshare

Collection Method

Questionnaire survey of university students using measurement scales for key variables.

Time Range

null

Freshness

Last updated 2026-04-21 17:28:38; freshness should be verified.

Geography

Moroccan universities