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Sutarman; Sunendar, Dadang; Mulyati, Yeti – International Journal of Instruction, 2019
This study aims to investigate and create a writing learning process that can generate both motivation and results from writing activities. The effectiveness of this model can be seen from students' improvement both the quality of the process and the results of writing learning. Based on preliminary study, this study found a number of data about…
Descriptors: Writing (Composition), Learning Processes, Writing Processes, Student Motivation
Smith, Kenneth J. – Gifted Child Today, 2014
Research suggests that experts and beginners use qualitatively different writing processes when given the same text to write. Throughout their writing, experts tend to create a network of executive, structural, and content problems that they continually refine and coordinate as they bring the text to fruition. Novices, in contrast, tend to focus…
Descriptors: Problem Solving, Writing Processes, Elementary Education, Writing Skills
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis