California's information about opportunities and outcomes in early learning and care, TK-12 schools, colleges, social services, and employment is currently disconnected. A longitudinal data system can be a powerful tool that allows California to identify bright spots, inequities, and roadblocks in our educational system, especially for students of…

In 2019, California passed legislation that called for the creation of its longitudinal data system, the Cradle-to-Career (C2C) Data System. Since then, the state has allocated $40.52 million in funding to support the agency's efforts. Given the substantial state investment and the potential for more, better, and accessible data to answer critical…

This article argues that special and inclusive education policies in Nepal have been influenced by neoliberal policy reforms. The study employs discourse analysis as a theoretical perspective to analyse the effects of market-based schooling practices on students with disabilities in Nepal. The findings of this study are informed to some extent by…

As a follow-up to the National Association of Student Financial Aid Administrators (NASFAA) February 2023 Free Application for Federal Student Aid (FAFSA) Simplification Pre-Implementation Survey, NASFAA administered a post-implementation Survey in October 2024 to at least one contact at NASFAA membership institutions with 2,906 potential…

This report was prepared pursuant to Public Chapter 322 (hereafter referred to as the Act), now codified at T.C.A. §4-1-220; which requires the Tennessee Department of Education (department) to conduct and publish a study of best practices in other states for the use of ninth grade "on-track" indicators in state accountability systems to…

The purpose of this article is to explore the application of qualitative research to establishing a more complete understanding of relational processes inherent in school psychology practice. We identify the building blocks of rigorous qualitative research design through a conceptual overview of qualitative paradigms, methodologies, methods (i.e.,…

From its earliest days, practitioners of computer-assisted language learning (CALL) have collected data from computer-mediated learning environments. Indeed, that has been a central aspect of the field from the beginning. Usage logs provided valuable insights into how systems were used and how effective they were for language learning. That…

Although social scientists devote considerable effort to mitigating measurement error during data collection, they often ignore the issue during data analysis. And although many statistical methods have been proposed for reducing measurement error-induced biases, few have been widely used because of implausible assumptions, high levels of model…

Data collected from online learning and tutoring systems for individual students showed strong autocorrelation or dependence because of content connection, knowledge-based dependency, or persistence of learning behavior. When the response data show little dependence or negative autocorrelations for individual students, it is suspected that…

Supplemental Instruction (SI) is a voluntary, non-remedial, peer-facilitated, course-specific intervention that has been widely demonstrated to increase student success, yet concerns persist regarding the biasing effects of disproportionate participation by already higher-performing students. With a focus on maintaining access for all students, a…

We describe a method for analyzing student data from online programming exercises. Our approach uses contingency tables that combine whether or not a student answered an online exercise correctly with the number of attempts that the student made on that exercise. We use this method to explore the relationship between student performance on online…

A new lecture supporting system based on real-time learning analytics is proposed. Our target is on-site classrooms where teachers give their lectures, and a lot of students listen to teachers' explanation, conduct exercises etc. We utilize not only an e-Learning system, but also an e-Book system to collect real-time learning activities during the…

Analysis of student-level data to inform policy and promote student success is a core function of executive higher education agencies. Postsecondary data systems have expanded their collection of data elements for use by policymakers, institutional staff and the general public. State coordinating and governing boards use these data systems for…

The Integrated Postsecondary Education Data System (IPEDS) collects institution-level data from postsecondary institutions in the United States (50 states and the District of Columbia) and other U.S. jurisdictions (see appendix A for a list of other U.S. jurisdictions). This "First Look" presents findings from the provisional data for…

As state and local education agencies increasingly focus on serving educators with their data systems, a common challenge has arisen: identifying the critical knowledge, skills, and behaviors needed by teachers and administrators to use data effectively. Many states are creating data literacy and data use training programs for pre- and in-service…