Every U.S. state and the District of Columbia maintain a system to collect and store education data. These systems vary widely in their scope and sophistication -- and, by extension, in their ability to provide information that can guide decision-making. Most states have developed statewide longitudinal data systems, which establish formal…

Many school district strategic plans and education conferences are aggressively embracing technology to improve teaching and learning. Classroom technology typically includes blended learning, personalized learning, online courses for students, and professional development for teachers, among many other things. As districts wrestle with tighter…

Apprentice and trainee data are reported by the State and Territory Training Authorities to the National Centre for Vocational Education Research (NCVER) on a quarterly basis, starting at the September quarter of 1994. The set of data submitted that quarter is referred to as Collection 1. The sets of data submitted in subsequent quarters are…

Presents an overview of an approach in training Black masters-level students in research, with emphasis on research design, data collection, data analysis, and computer usage. (JCD)

Prepared as part of a joint effort by the Maryland State Board for Community Colleges (SBCC) and the Maryland State Board of Education to promote high-quality occupational programs and services, this report provides information on the state's management information system and program data monitoring system. Following the text of a resolution…

The author has developed a model for transferring and implementing educational innovations from one institution to another. The model consists of an organized set of variables whose precedence relationships were determined by statistical analysis of collected data. A questionnaire was sent to a sample of prospective consumers of educational…

A series of national meetings with a professional working group were held to discuss data issues, needs, and priorities in order to determine national data needs for vocational education. The study team gathered detailed information on current federal-level data collection efforts relevant to vocational education. Local and state data collection…

The quality of educational data in Nepal was evaluated by investigating three questions: (1) the extent of reporting error in national education data; (2) accuracy of error estimation; and (3) levels at which error is introduced. Evidence suggests that data may be more accurate than decision makers suppose. (SLD)