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Newton, Kristie J.; Leonard, Jacqueline; Buss, Alan; Wright, Christopher G.; Barnes-Johnson, Joy – Journal of Research on Technology in Education, 2020
This mixed methods study examined how engagement in robotics and game design influenced students' self-efficacy, STEM attitudes, and computational thinking (CT) skills. Predominantly African-American students engaged in engineering and computer science tasks during informal learning environments. Results revealed students' self-efficacy scores on…
Descriptors: Robotics, STEM Education, Self Efficacy, Student Attitudes
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Shim, Jaekwoun; Kwon, Daiyoung; Lee, Wongyu – IEEE Transactions on Education, 2017
In the past, computer programming was perceived as a task only carried out by computer scientists; in the 21st century, however, computer programming is viewed as a critical and necessary skill that everyone should learn. In order to improve teaching of problem-solving abilities in a computing environment, extensive research is being done on…
Descriptors: Robotics, Educational Games, Programming, Teaching Methods
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Jenson, Jennifer; Droumeva, Milena – Electronic Journal of e-Learning, 2016
While advances in game-based learning are already transforming educative practices globally, with tech giants like Microsoft, Apple and Google taking notice and investing in educational game initiatives, there is a concurrent and critically important development that focuses on "game construction" pedagogy as a vehicle for enhancing…
Descriptors: Media Literacy, Computation, Thinking Skills, Foreign Countries
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection