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Breen, Sinéad; O'Shea, Ann – PRIMUS, 2019
Research has shown that the types of tasks assigned to students affect their learning. Various authors have described desirable features of mathematical tasks or of the activity they initiate. Others have suggested task taxonomies that might be used in classifying mathematical tasks. Drawing on this literature, we propose a set of task types that…
Descriptors: Undergraduate Students, Mathematics Instruction, College Mathematics, Learning Activities
Tanisli, Dilek; Ozdas, Aynur – Educational Sciences: Theory and Practice, 2009
The main purpose of this study is to determine the strategies of using the generalizing patterns of the primary fifth grade students. The practice of this research is conducted on twelve students, which have high, middle and low success levels. Task-based interviews and students journals are used as the tools for data collection. For the analysis…
Descriptors: Visualization, Grade 5, Generalization, Interviews
Pask, Gordon – 1971
A series of pilot experiments were carried out to investigate the influence of stress induced by load and interference on the acquisition and retention of a path finding skill, and to investigate the relationship between two path finding strategies--retention of strings of instructions and understanding of global relationships--as components of…
Descriptors: Cognitive Processes, Computer Assisted Instruction, Flight Training, Generalization
Presmeg, Norma C. – 1993
Imagery use in high school mathematics classrooms was studied. A visual image was defined as a mental scheme depicting visual or spatial information, but this definition was not spelled out to teachers or students, in order to learn what they meant by the concept. Subjects were 13 high school teachers and 54 of their students interviewed over 3…
Descriptors: Abstract Reasoning, Cognitive Processes, Generalization, High School Students
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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