School-Based STEM Projects for Informatics Teacher Training: Robotics and AI Case Studies

A research study by Meruyert Serik analyzes the impact of two school-based STEM projects on student and teacher competencies. The study involved 96 senior secondary students, five master's students, mentor teachers, and academic consultants from three universities. Data was collected through classroom observations, reflective journals, interviews, artifact evaluation, and competency rubrics.

Use Cases

• Evaluate competency development in future teachers based on rubric scores and performance gains.
• Analyze the effectiveness of project-based learning platforms using engineering prototype error rates and AI model accuracy.
• Study mentoring architectures in educational settings based on the described four-tier model.

Strengths

• Includes quantitative results such as an 18–25% competency gain and an AI perception module accuracy of 92.7%.
• Data collection methods are detailed, including classroom observations, reflective journals, and semi-structured interviews.
• License is CC-BY-4.0, allowing for open sharing and adaptation.

Limitations

• Dataset is a single 11.1 KB DOCX file, which suggests limited raw data scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Multiple case study design with quasi-experimental component.

Freshness

Last updated 2026-06-04 05:39:57