To meet the demand for qualified experts from Science, Technology, Engineering and Mathematics (STEM) we developed a set of measures for school children (to raise their interest in STEM and their self-efficacy) and university students (to increase the retention rate).
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End of the project:
Gender Influences On School Students’ Mental Models of Computer Science — A Quantitative Rich Picture Analysis with Sixth Graders
From Boring to Scoring – A Collaborative Serious Game for Learning and Practicing Mathematical Logic for Computer Science Education
The Effect of Tangible Artifacts, Gender and Subjective Technical Competence on Teaching Programming to Seventh Graders