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Nardie Fanchamps; Emily van Gool; Lou Slangen; Paul Hennissen – Education and Information Technologies, 2024
Learning basic concepts of programming resulting in a development on computational thinking (CT) can be reached by means of digital programming environments. As a counterpart, the application of unplugged programming activities seems also to have promising potential regarding the impact on CT. The main characteristic of unplugged programming is…
Descriptors: Computation, Thinking Skills, Programming, Computer Peripherals
Murat Adnan Tamer; Nesrin Özdener – Online Submission, 2023
Physical programming (PP) is defined as the design of interactive physical systems between the real and virtual worlds using a combination of software and hardware. A physical programming platform (PPP) defines a structure that includes hardware and software where such applications can be made. The aim of this study is to introduce the MIDEP…
Descriptors: Programming, Computer Science Education, Kindergarten, Elementary Secondary Education
Lane, Alison E.; Ziviani, Jenny M. – Computers & Education, 2010
Effective use of computers in education for children requires consideration of individual and developmental characteristics of users. There is limited empirical evidence, however, to guide educational programming when it comes to children and their acquisition of computing skills. This paper reports on the influence of previous experience and…
Descriptors: Computers, Programming, Computer Literacy, Academic Achievement
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

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