NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Serfaty de Markus, Alicia – Journal of Computers in Mathematics and Science Teaching, 2018
This quasi-treatment study, using a non-equivalent group design, explored how a set of animations related to various concepts in algebra impacted students' ability to learn as measured by changes in quiz and test scores. The concepts that were investigated were addition and subtraction of rational expressions, solving equations involving rational…
Descriptors: Animation, College Mathematics, Mathematics Instruction, Algebra
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Sheehan, Kathleen M. – ETS Research Report Series, 2015
The "TextEvaluator"® text analysis tool is a fully automated text complexity evaluation tool designed to help teachers, curriculum specialists, textbook publishers, and test developers select texts that are consistent with the text complexity guidelines specified in the Common Core State Standards.This paper documents the procedure used…
Descriptors: Scores, Common Core State Standards, Computer Software, Computational Linguistics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Cetintas, Suleyman; Si, Luo; Xin, Yan Ping; Zhang, Dake; Park, Joo Young; Tzur, Ron – Journal of Educational Data Mining, 2010
Estimating the difficulty level of math word problems is an important task for many educational applications. Identification of relevant and irrelevant sentences in math word problems is an important step for calculating the difficulty levels of such problems. This paper addresses a novel application of text categorization to identify two types of…
Descriptors: Probability, Word Problems (Mathematics), Classification, Difficulty Level
Peer reviewed Peer reviewed
Terwilliger, James S.; Lele, Kaustubh – Journal of Educational Measurement, 1979
Different indices for the internal consistency, reproducibility, or homogeneity of a test are based upon highly similar conceptual frameworks. Illustrations are presented to demonstrate how the maximum and minimum values of KR20 are influenced by test difficulty and the shape of the distribution of test scores. (Author/CTM)
Descriptors: Difficulty Level, Item Analysis, Mathematical Formulas, Statistical Analysis