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von Wangenheim, Christiane Gresse; Alves, Nathalia Cruz; Rodrigues, Pedro Eurico; Hauck, Jean Carlo – Online Submission, 2017
In order to be well-educated citizens in the 21st century, children need to learn computing in school. However, implementing computing education in schools faces several practical problems, such as lack of computing teachers and time in an already overloaded curriculum. A solution can be a multidisciplinary approach, integrating computing…
Descriptors: Computer Science Education, Interdisciplinary Approach, Social Studies, Programming
Oluk, Ali; Korkmaz, Özgen – Online Submission, 2016
This study aimed to compare 5th graders' scores obtained from Scratch projects developed in the framework of Information Technologies and Software classes via Dr Scratch web tool with the scores obtained from Computational Thinking Levels Scale and to examine this comparison in terms of different variables. Correlational research model was…
Descriptors: Grade 5, Elementary School Students, Educational Technology, Technology Uses in Education
Hong, Zeng-Wei; Huang, Yueh-Min; Hsu, Marie; Shen, Wei-Wei – Educational Technology & Society, 2016
Anthropomorphized robots are regarded as beneficial tools in education due to their capabilities of improving teaching effectiveness and learning motivation. Therefore, one major trend of research, known as Robot- Assisted Language Learning (RALL), is trying to develop robots to support teaching and learning English as a foreign language (EFL). As…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Second Language Learning
Grimm, Kevin J.; Ram, Nilam; Estabrook, Ryne – Multivariate Behavioral Research, 2010
Growth mixture models (GMMs; B. O. Muthen & Muthen, 2000; B. O. Muthen & Shedden, 1999) are a combination of latent curve models (LCMs) and finite mixture models to examine the existence of latent classes that follow distinct developmental patterns. GMMs are often fit with linear, latent basis, multiphase, or polynomial change models…
Descriptors: Models, Computer Software, Programming, Statistical Analysis

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