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Phage, Itumeleng B.; Lemmer, Miriam; Hitge, Mariette – African Journal of Research in Mathematics, Science and Technology Education, 2017
Students' graph comprehension may be affected by the background of the students who are the readers or interpreters of the graph, their knowledge of the context in which the graph is set, and the inferential processes required by the graph operation. This research study investigated these aspects of graph comprehension for 152 first year…
Descriptors: Foreign Countries, Graphs, Comprehension, Cognitive Processes
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Idil, Feriha Hande; Narli, Serkan; Aksoy, Esra – International Journal of Education in Mathematics, Science and Technology, 2016
The aim of this study is to examine middle school students' attitude towards mathematics in the context of their mathematic learning preferences using data mining which is data analysis methodology that has been successfully used in different areas including educational domains. "How do I actually learn?" questionnaire and attitude scale…
Descriptors: Mathematics Instruction, Middle School Students, Student Attitudes, Secondary School Mathematics
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Wilson, Damian Vergara – Heritage Language Journal, 2012
This paper illustrates a method of item analysis used to identify discriminating multiple-choice items in placement data. The data come from two rounds of pilots given to both SHL students and Spanish as a Second Language (SSL) students. In the first round, 104 items were administered to 507 students. After discarding poor items, the second round…
Descriptors: Heritage Education, Graphs, Item Analysis, Correlation
Hopp, David I. – 1980
A reporting and study format for the investigation of university student retention is presented. Student progression and loss is shown graphically and in tabular form to enable ready comprehension and encourage data exploration. Data obtained at Virginia Commonwealth University for 1977-80 are used as illustration. Two ways of viewing student…
Descriptors: Academic Persistence, Cohort Analysis, College Students, Comparative Analysis
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