We explore in this paper if automated scaffolding delivered via a pedagogical agent within a simulation can help students acquire data collection inquiry skills. Our initial analyses revealed that such scaffolding was effective for helping students who initially did not know two specific skills, designing controlled experiments and testing stated…

The Massachusetts Department of Elementary and Secondary Education (DESE) released proposed Science and Technology/Engineering standards in 2013 outlining the concepts that should be taught at each grade level. Previously, standards were in grade spans and each district determined the method of implementation. There are two different methods used…

When validating assessment models built with data mining, generalization is typically tested at the student-level, where models are tested on new students. This approach, though, may fail to find cases where model performance suffers if other aspects of those cases relevant to prediction are not well represented. We explore this here by testing if…

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…

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…

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…

Six years after passage of No Child Left Behind and midway to the nation's goal of having students on grade level or better in reading and math by 2014, more data than ever before has been collected about the academic performance of American students and schools. Information in this brochure charts student demographics, achievement-to-date and…

The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…

This paper presents the appendices to the "High-Stakes Testing and Student Achievement: Problems for the No Child Left Behind Act" report. It contains the following appendices: (1) Example of Context for Assessing State-Level Stakes Sheet--Connecticut; (2) Example of Completed Rewards and Sanctions Worksheet--Connecticut; (3) Directions…