This article provides teachers with a toolkit for assessing students in the context of data-based individualization (DBI) in mathematics. Assessing students is a critical component of DBI because it provides teachers with information about what they may need to modify in their instructional programs. In this article, we provide teachers with…

Ever-growing expectations exist for educators to use assessments to collect, analyze, and interpret data, but how, if at all, are these processes affecting instruction? This descriptive case study of one team of second grade teachers offers an analysis of the links between teachers' use of data within their collaborative team meetings and…

This mixed method study explored and analyzed instructional strategies utilized by algebra teachers whose students' coursework culminated in the New York State Regents Examination in Integrated Algebra and for whom 50% of the tested cohort earned mastery level (85 or higher) on the examination. The targeted populations were eighth or ninth grade…

Rigorous evidence from around the world has shown that significant improvements in learning can be obtained at comparatively low cost by spending more, focused time ensuring that the bottom half of the class in the early grades does not get left behind. The authors present results from the Teacher Community Assistant Initiative (TCAI) that tests…

Today's building level instructional leader is faced with an enormous challenge in ensuring that all students are meeting end-of-year proficiency targets. The current climate of accountability, particularly in regards to high-stakes end-of-year assessments has placed the burden of assessment upon students, parents, teachers, team or department…

These proceedings contain the papers of the 14th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2017), 18-20 October 2017, 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…

The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…

This is one of a series of reports which provide definitions of and descriptive data on the variables used in the Comparative Study of Phase IV of the Individually Guided Education (IEG) Evaluation Project. Phase IV investigated three curriculum programs specifically designed to be compatible with instructional programming for the individual…

This report was submitted by Education Turnkey Systems, Inc. and its subcontractor, Kirschner Associates, Inc. and key University of Maryland and other consultants in response to the needs of the National Institute of Education as specified in the Request for Proposal "to develop a Design to Study Individualized Instruction, as part of a general…

The research design discussed here focuses on four major questions: (1) what the relative effectiveness of well-implemented "individualized" instruction vs. well-implemented "standardized" instruction for recipients of compensatory education in terms of reading achievement, mathematics achievement and classroom climate is; (2)…

This document includes 14 appendices to a report submitted by Education Turnkey Systems, Inc., and its subcontractor, Kirschner Associates, Inc. and key University of Maryland and other consultants in response to the needs of the National Institute of Education as specified in the Request for Proposal "to develop a Design to Study…

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…