The authors present work towards automatically assessing data collection behaviors as middle school students engage in inquiry within a physics microworld. In this study, the authors used machine learned models that can detect when students test their articulated hypotheses, design controlled experiments, and engage in planning behaviors using…

Paul Jablon's "The Synergy of Inquiry" (2014) is well-timed. The 2014 deadline set by No Child Left Behind (NCLB, 2002) for universal student proficiency has come and gone, and according to the National Assessment of Educational Progress, "proficiency rates last year were below 50 percent for nearly every racial and ethnic group, in…

This article describes research results based on multiple years of experimentation and real-world experience with an adaptive tutoring system named Wayang Outpost. The system represents a novel adaptive learning technology that has shown successful outcomes with thousands of students, and provided teachers with valuable information about students'…

As an organization made up of Michiganders, we know well how our parents once prided themselves on the quality of our state's public schools. Sadly, we have little to be proud of today. Our state's educational performance is lackluster by practically any reliable measure. In this report, we lay out a common-sense agenda to raise Michigan's…

In this paper, the authors examine how information that students receive about their academic performance affects their decisions to enroll in post-secondary education. In particular, they look at one specific piece of data--student performance on the state standardized mathematics test in grades 8 and 10 in Massachusetts. One key feature of such…

Making robust and reliable information about schools accessible is one of the most powerful ways to foster engagement and promote informed decisions that will shape our communities. Though education data is frequently collected and aggregated at the state level, data is rarely synthesized across cities. This report provides comparable information…

The Trends in International Mathematics and Science Study (TIMSS) is an international comparative study of student achievement. TIMSS 2011 represents the fifth such study since TIMSS was first conducted in 1995. Developed and implemented at the international level by the International Association for the Evaluation of Educational Achievement…

The Trends in International Mathematics and Science Study (TIMSS) 2011 is the fifth administration of this international comparative study since 1995 when first administered. TIMSS is used to compare over time the mathematics and science knowledge and skills of fourth- and eighth-graders. TIMSS is designed to align broadly with mathematics and…

The purpose of this qualitative study was to investigate how students at Henry Lord Middle School in Fall River take into consideration their initial college and career aspirations when making their decision for high school. Self-efficacy theory, critical theory, and a literature review related to high school decision-making inform the analysis of…

We present a method for assessing science inquiry performance, specifically for the inquiry skill of designing and conducting experiments, using educational data mining on students' log data from online microworlds in the Inq-ITS system (Inquiry Intelligent Tutoring System; www.inq-its.org). In our approach, we use a 2-step process: First we use…

The Massachusetts Department of Elementary and Secondary Education (Department) created the grades 1-12 Early Warning Indicator System (EWIS) in response to district interest in the Early Warning Indicator Index (EWII) that the Department previously created for rising grade 9 students. Districts shared that the EWII data were helpful, but also…

In this paper we explored whether engaging in two inquiry skills associated with data collection, designing controlled experiments and testing stated hypotheses, within microworlds for one physical science domain (density) impacted the acquisition of inquiry skills in another domain (phase change). To do so, we leveraged educational data mining…

Background: Cluster-randomized experiments that assign intact groups such as schools or school districts to treatment conditions are increasingly common in educational research. Such experiments are inherently multilevel designs whose sensitivity (statistical power and precision of estimates) depends on the variance decomposition across levels.…

NAEP Trial Urban District Assessment (TUDA) results in mathematics and reading are based on representative samples of 1,100 to 2,300 public school students at grade 4 and 900 to 2,100 public school students at grade 8 in each participating urban district in 2013. Twenty-one urban districts participated in the 2013 assessments. The assessments…

In recent years, an increasing number of analyses in Learning Analytics and Educational Data Mining (EDM) have adopted a "Discovery with Models" approach, where an existing model is used as a key component in a new EDM/analytics analysis. This article presents a theoretical discussion on the emergence of discovery with models, its…