Educational data mining is an emerging research field concerned with developing methods for exploring the unique types of data that come from educational context. These data allow the educational stakeholders to discover new, interesting and valuable knowledge about students. In this paper, we present a new user-friendly decision support tool for…

This study uses a sequential, mixed method, action research, quantitative to qualitative research design. The purpose of this study was to develop a useful standardized hiring process at a state medical college that brings clarity to the hiring process and policies. Two conceptual frameworks guided the innovations in this study--communities of…

Faced with rising demand for information about early childhood programs, states need to find tools and strategies to monitor the progress of and to identify high-quality early childhood programs. In response, REL Mid-Atlantic convened a regional workgroup for state personnel who work with the systems containing early childhood data. The workgroup…

Explains the design and development of BISTATS, a computer application using dBASEIII for compiling bibliographic instruction statistics that was developed at State University College at Buffalo. Highlights include system design and development, data items included in the records, programming procedures, and testing and modifications. (LRW)

This report and research analysis relate to the Milwaukee Area Technical College Research Project, a study undertaken to determine a curriculum to meet the information processing/management training needs of individuals entering or continuing careers in the information marketing and business data processing occupational clusters. The report of…