Computer simulations have become widely available to support geometric learning; however, the type and amount of guidance, as well as the freedom to engage in self-directed learning that should be allowed for children from differential socio-cultural backgrounds, have not yet been clarified. On the basis of the cognitive theory of multimedia…

Conventional multilevel modeling works well with purely hierarchical data; however, pure hierarchies rarely exist in real datasets. Applied researchers employ ad hoc procedures to create purely hierarchical data. For example, applied educational researchers either delete mobile participants' data from the analysis or identify the student only with…

In an influential paper, Jesse Rothstein (2010) shows that standard value-added models (VAMs) suggest implausible and large future teacher effects on past student achievement. This is the basis of a falsification test that "appears" to indicate bias in typical VAM estimates of teacher contributions to student learning on standardized…

This paper investigates how the precision and stability of a teacher's value-added estimate relates to the characteristics of the teacher's students. Using a large administrative data set and a variety of teacher value-added estimators, it finds that the stability over time of teacher value-added estimates can depend on the previous achievement…

Randomized controlled trial evidence shows that interventions before age 5 can improve skills necessary for educational success; the effect of these interventions on socioeconomic inequalities is unknown. Using trial effect estimates, and marginal structural models with data from the Avon Longitudinal Study of Parents and Children (n = 11,764,…

School districts and state departments of education frequently must choose between a variety of methods to estimating teacher quality. This paper examines under what circumstances the decision between estimators of teacher quality is important. We examine estimates derived from student growth percentile measures and estimates derived from commonly…

Combining school study with part-time or casual work is an increasing trend for Australian high school students. For some, it is a way of earning some extra cash and having a bit of freedom from their parents, or it is an opportunity to get some experience in an occupation they are interested in. This paper looks at the impact that working while…

A new computer simulation of student performance in the elementary classroom allows the model builder to incorporate into a mathematically precise computer model all the information on variables affecting pupil performance which research has uncovered. (HMD)

The achievement gap between low-income African American students and their White counterparts remains substantial. To address this, researchers have begun to examine the impact of culture on cognitive performance among African American students (Lee, 2001; Foster, Lewis, & Onafowora, 2003). The findings from this work suggest that when aspects of…

An elementary and secondary education cost-effectiveness model is designed, emphasizing evaluation of ESEA's Title I programs for the disadvantaged. Focusing heavily on student achievement, the model presents a means for evaluating by computer simulation the relative school, student, and community effects and associated costs of alternative Title…

This paper focuses attention on the critical importance of zoning and housing to education. It covers the causes of undersirable housing patterns, the apparent effects of these patterns on educational achievement, and possibilities for positive action to reverse the negative effects. Although examples are drawn from Santa Clara County, the thesis…

The document contents divide into (1) the basic flow model of an educational system and its application to the secondary school system of Ontario and (2) a group of interrelated submodels that describe the entrance to higher education in considerably finer detail. In the first section, the principal variable of the model--the transition…

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…