Extracting information efficiently from game/simulation-based assessment (G/SBA) logs requires two things: a well-structured log file and a set of analysis methods. In this report, we propose a generic data model specified as an extensible markup language (XML) schema for the log files of G/SBAs. We also propose a set of analysis methods for…

The Center for the Integration of IDEA Data (CIID) Data Integration Toolkit is designed to support SEA [state education agency] efforts to integrate Individuals with Disabilities Education Act (IDEA) data with their statewide longitudinal data systems (SLDSs) and includes: (1) A sample road map articulating typical steps and tasks required for…

The questionnaires' origin (sources from which elements of the questionnaire are derived) and initial development (process of making a questionnaire from elements) should be assessed before their measurement properties. There is no Critical Appraisal Tool (CAT) that comprehensively assesses the origin and initial development of questionnaires…

In this project, students use a real-world, complex database and experience firsthand the consequences of inadequate data modeling. The U.S. Environmental Protection Agency created the database as part of a multimillion dollar data collection effort undertaken in order to set limits on air pollutants from electric power plants. First, students…

Over the last decade, state efforts to build stronger data infrastructure and integrate data about early childhood services have continued to grow. A stronger data infrastructure supports states in more easily linking data across programs, which in turn makes it easier to analyze and use that data to answer important policy questions. An Early…

Introduction: The purpose of this study was to determine how many young children and students (birth to 22 years old) were identified with visual impairments and receiving special education services in the United States. Professionals estimate at least 50% of students with visual impairments have additional disabilities and are not identified as…

The value of a study relies heavily on the quality of data collection and analysis. No matter the skill level of the researchers or what journal the study is published in, poor collection and management of data result in a poor study. Our personal experiences and impressions of collecting, storing, protecting, and retrieving data for a U.S.…

National College Access Network (NCAN) has heard repeatedly and consistently over the years that one of the best aspects of network membership is the ability to collaborate with and learn from other members. In an effort to further the transfer of ideas, in the summer of 2016 NCAN hosted a series of four Idea Incubators across the country, which…

Quality data allow programs to provide context and meaning to research, evaluation, and accountability efforts and provides evidence to evaluate and demonstrate the effectiveness of programs. Data integration, the process of taking data from disparate systems, combining them, and transforming them into something meaningful, can increase data…

There is demand among policy-makers for the use of state education longitudinal data systems, yet laws and policies regulating data disclosure limit access to such data, and security concerns and risks remain high. Well-developed synthetic datasets that statistically mimic the relations among the variables in the data from which they were derived,…

IEA's International Computer and Information Literacy Study (ICILS) 2018 investigated how well students are prepared for study, work, and life in a digital world. ICILS 2018 measured international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and communicate at…

The world of work is being impacted by a fourth industrial revolution, transformed by artificial intelligence and other emerging technologies. With forecasts suggesting large shares of workers, displaced by automation, in need of upskilling/reskilling, the design of active skills policies is necessary. Conventional methods used to anticipate…

The paper focuses on the field of learning styles in e-learning. The study is structured in two main parts: (1) a brief overview of traditional approaches to learning styles is presented and their role in the process of instruction is set; this part results in the reflection of current state, when learning styles are considered within e-learning;…

With over 37 million residents, California is the most populous state in the country. California's primary and secondary schools enroll over 6.2 million students,1 and there are 3.4 million undergraduates attending 683 postsecondary institutions in California. Yet, because of the lack of a strong data infrastructure, we are unable to answer basic…

Because the relationship between computer use and achievement is still puzzling, there is a need to prepare and analyze good quality datasets on computer use and achievement. Such a dataset can be derived from TIMSS data. This paper describes how this dataset can be prepared. It also gives an example of how the dataset may be analyzed. The…