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Atkins, Rachel M.; McNeal, Karen S. – Journal of Astronomy & Earth Sciences Education, 2018
Communicating climate information is challenging due to the interdisciplinary nature of the topic along with compounding cognitive and affective learning challenges. Graphs are a common representation used by scientists to communicate evidence of climate change. However, it is important to identify how and why individuals on the continuum of…
Descriptors: Eye Movements, Reading Processes, Climate, Graphs
Pelánek, Radek; Rihák, Ji?rí – International Educational Data Mining Society, 2016
In online educational systems we can easily collect and analyze extensive data about student learning. Current practice, however, focuses only on some aspects of these data, particularly on correctness of students answers. When a student answers incorrectly, the submitted wrong answer can give us valuable information. We provide an overview of…
Descriptors: Foreign Countries, Online Systems, Geography, Anatomy
Peer reviewedHayes, Robert M.; Palmer, E. Susan – Library and Information Science Research, 1983
Presents statistics from 1978 survey of public library patrons concerning relationship between distance and library usage and compares them with results from 1968 survey. Data for branch libraries showing effects of age, education, and mode of transportation used are discussed, and three specific contexts are examined. Seven sources are cited.…
Descriptors: Branch Libraries, Case Studies, Comparative Analysis, Decentralization
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


