The fairy performance assessment: measuring computational thinking in middle school
By Linda L. Werner, Jill Denner, Shannon Campe, Damon Chizuru Kawamoto. Technical Symposium on Computer Science Education, 2012
344 citations recorded by the source corpus.
Subfields: Computer Science Applications, Developmental and Educational Psychology, Software
View Paper: https://www.semanticscholar.org/paper/7b67ab34f3ab05010926a7132040c4bf7392b4e6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Science Applications
- Jodi Asbell-Clarke
- Chen Sun
- Valerie J. Shute
- Stephen Cooper
- Roy D. Pea
- Shuchi Grover
- Stavros N. Demetriadis
- Soumela Atmatzidou
In Developmental and Educational Psychology
- Stephen Cooper
- Shuchi Grover
- Roy D. Pea
- Jodi Asbell-Clarke
- Stavros N. Demetriadis
- Soumela Atmatzidou
- Chen Sun
- Valerie J. Shute
Citations in the corpus
- Advancing students' computational thinking skills through educational robotics: A study on age and gender relevant differences (2016, background): “There is also lack of empirical evidence in defining the explicit CT boundaries [37], although recent articles begin to describe what it looks like [4,30,38,39].”
- Demystifying computational thinking (2017, background): “However, no gender differences were reported by Werner et al. (2012) and Yadav et al. (2014).”
- Designing for deeper learning in a blended computer science course for middle school students (2015, methodology): “Student learning was assessed through a Fairy Assessment created in Alice that tested students on algorithmic thinking, and how effectively they made use of abstraction and modeling (Werner, Denner, Campe, & Kawamoto, 2012).”