A new way of teaching programming skills to K-12 students: Code.org

By Filiz Kalelioğlu. Computers in Human Behavior, 2015

391 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Science Applications, Developmental and Educational Psychology

View Paper: https://www.semanticscholar.org/paper/932ef33c3f061503c369e32ba1d13bf9c5f01a09

How researchers see this paper

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

In Computer Networks and Communications

1. Justin Chow
2. B. Ericson
3. Tovi Grossman
4. David Weintrop
5. Majeed Kazemitabaar
6. Sumedha Chauhan
7. Carlsen Ma

In Computer Science Applications

1. Justin Chow
2. B. Ericson
3. Tovi Grossman
4. David Weintrop
5. Majeed Kazemitabaar
6. Sumedha Chauhan
7. Carlsen Ma

In Developmental and Educational Psychology

1. Justin Chow
2. B. Ericson
3. Tovi Grossman
4. David Weintrop
5. Majeed Kazemitabaar
6. Sumedha Chauhan
7. Carlsen Ma

Citations in the corpus

• Studying the effect of AI Code Generators on Supporting Novice Learners in Introductory Programming (2023, positive): “Research has provided evidence that computing education offers a platform to practice and improve problemsolving [29, 41, 60, 67], critical thinking [27], collaboration [75], and active learning [40] skills.”
• A meta-analysis of the impact of technology on learning effectiveness of elementary students (2017, background): “…there are a number of recent studies in which experimental group of elementary students were free to learn electronically at unrestricted places (Kalelioğlu, 2015; Zheng & Warschauer, 2015; Barzilai & Blau, 2014; Hansen, Koudenburg, Hiersemann, Tellegen, Kocsev, & Postmes, 2012; Aksoy, 2012).”