Advancing students' computational thinking skills through educational robotics: A study on age and gender relevant differences

By Soumela Atmatzidou, Stavros N. Demetriadis. Robotics Auton. Syst., 2016

563 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Science Applications, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/1819ce1ad99d7236b3243024121464556e9e92ef

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jodi Asbell-Clarke
2. Chen Sun
3. Valerie J. Shute

In Computer Science Applications

1. Jodi Asbell-Clarke
2. Chen Sun
3. Valerie J. Shute

In Molecular Biology

1. Jodi Asbell-Clarke
2. Chen Sun
3. Valerie J. Shute

Citations in the corpus

• Demystifying computational thinking (2017, methodology): “For example, Lego Mindstorms (http://www.lego.com/en-us/mindstorms) was used to improve high school students’ (n = 164) CT skills for a year (Atmatzidou & Demetriadis, 2016).”
• IEA International Computer and Information Literacy Study 2018 Assessment Framework (2019, unknown): “With regard to CT skills, however, some research suggests that the opposite relationship may be expected (Atmatzidou and Demetriadis 2016).”