Computational thinking and tinkering: Exploration of an early childhood robotics curriculum
By Marina Umaschi Bers, Louise P. Flannery, Elizabeth R. Kazakoff, Amanda Sullivan. Comput. Educ., 2014
880 citations recorded by the source corpus.
Subfields: Computer Science Applications, Education
View Paper: https://www.semanticscholar.org/paper/2b46c2e979f15170de15f6f372b944ac7c87c9a2
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
- H. Ö. Demircan
- Joke Voogt
- Stavros N. Demetriadis
- Soumela Atmatzidou
- Mustafa Çetin
In Education
- Joke Voogt
- H. Ö. Demircan
- Punya Mishra
- Petra Fisser
- Stavros N. Demetriadis
- Soumela Atmatzidou
- Mustafa Çetin
- Aman Yadav
Citations in the corpus
- Advancing students' computational thinking skills through educational robotics: A study on age and gender relevant differences (2016, methodology): “This conclusion is in line with studies emphasising that skill development in general requires adequate amount of training time [33,53].”
- Computational thinking in compulsory education: Towards an agenda for research and practice (2015, background): “Along the same lines, Bundy (2007) posited that the ability to think computationally is essential to conceptual understanding in every field, through the processes of problem solving and algorithmic thinking.”
- Demystifying computational thinking (2017, background): “Studies on transfer of CT are also needed (Bers et al., 2014).”
- Empowering technology and engineering for STEM education through programming robots: a systematic literature review (2018, methodology): “Some studies provide some curricula, that can become the basis for the usage of robotic construction kits, such as TangibleK and KIBO robotics (Bers et al., 2014; Elkin et al., 2016; Kazakoff et al., 2013; Kazakoff & Bers, 2012, 2014; Sullivan & Bers, 2017).”