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Download full textLondoño, Daniel; Alsina, Ángel – International Electronic Journal of Mathematics Education, 2023
A review of studies analyzing the statistical knowledge of primary schoolchildren (6-12 years old) is carried out. Based on a review in JCR/SSCI, Scopus, Eric, Google Scholar, Science Direct, World Scientific, Springer, and Wiley Online library, 18 articles (2003-2021) have been identified and analyzed based on two objectives: (1) to identify the…
Descriptors: Elementary School Students, Statistics Education, Knowledge Level, Research Methodology
Direct linkVitale, Jonathan M.; Lai, Kevin; Linn, Marcia C. – Journal of Research in Science Teaching, 2015
We present a new system for automated scoring of graph construction items that address complex science concepts, feature qualitative prompts, and support a range of possible solutions. This system utilizes analysis of spatial features (e.g., slope of a line) to evaluate potential student ideas represented within graphs. Student ideas are then…
Descriptors: Scoring, Graphs, Scientific Concepts, Prompting
Stacey, Kaye; Price, Beth; Steinle, Vicki – Mathematics Education Research Group of Australasia, 2012
This paper discusses issues arising in the design of questions to use in an on-line computer-based formative assessment system, focussing on how best to identify the stages of a learning hierarchy for reporting to teachers. Data from several hundred students is used to illustrate how design decisions have been made for a test on interpreting line…
Descriptors: Mathematics Instruction, Formative Evaluation, Evaluation Methods, Graphs
Eskritt, Michelle; Olson, David – Journal of Cognition and Development, 2012
The purpose of the present study was to explore children's understanding of external symbols by examining the relationship between children's production and comprehension of graphic notations and verbal messages. Fifty-six children between the ages of 5 and 7 years were asked to produce both notations and a spoken message relaying to their…
Descriptors: Figurative Language, Puppetry, Graphs, Identification
Taylor, Jonte'; Villanueva, Mary Grace – Science and Children, 2014
Ensuring science for all in the classroom requires that all students are afforded ways to grasp key science and engineering practices; however, we know that the practice of "obtaining, evaluating, and communicating information" can be a challenging task for children with high incidence disabilities (NGSS Lead States 2013, p. 15).…
Descriptors: Science Instruction, At Risk Students, Learning Disabilities, Behavior Disorders
Lingo, Amy S.; Jolivette, Kristine; Barton-Arwood, Sally M. – Preventing School Failure, 2009
On a routine basis, educators collect data on their students' academic and social performance to make informed decisions regarding curricular and social instruction. The authors conducted a case study for a student with emotional and behavioral disorders. The student's teacher provided oral and visual feedback during reading instruction. Data…
Descriptors: Feedback (Response), Social Behavior, Behavior Disorders, Reading Instruction
Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2014
These proceedings contain the papers of the 11th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2014), October 25-27, 2014, which has been organized by the International Association for Development of the Information Society (IADIS) and endorsed by the Japanese Society for Information and Systems in…
Descriptors: Conference Papers, Teaching Methods, Technological Literacy, Technology Uses in Education
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
