Researchers' responsibilities towards their research data are changing across all domains of social scientific endeavour. Government, funders and publishers expect greater transparency of, open access to, and re-use of research data, and fears over data loss call for more robust information security practices. Researchers must develop, enhance and…

The Department of Early Learning (DEL) is directed by the state legislature to use currently collected data to compare state-funded child care compensation rates to market rates, cross-compare child care programs in other states and make biennial recommendations to the legislature on compensation models to attract high quality professionals. For…

The purpose of this study was to examine the mathematics instructional practices of 75 second-year elementary teachers (K-5) in terms of the learning opportunities provided to their students. On average, each teacher completed instructional logs for 43 days across the school year. Select items were analyzed in order to better understand the…

This publication describes the methods and procedures used in the 2008/12 Baccalaureate and Beyond Longitudinal Study (B&B:08/12). These graduates, who completed the requirements for a bachelor's degree during the 2007-08 academic year, were first interviewed as part of the 2008 National Postsecondary Student Aid Study (NPSAS:08), and then…

Machine Learning methods for Performance Prediction in Intelligent Tutoring Systems (ITS) have proven their efficacy; specific methods, e.g. Matrix Factorization (MF), however suffer from the lack of available information about new tasks or new students. In this paper we show how this problem could be solved by applying Transfer Learning (TL),…

If our destination is improved student achievement, we cannot get there without valuing and effectively using data in education. Central to reaching this goal is building trust among all those who have a stake in education that individual student data, such as attendance, course taking, grades, and test scores, are being collected for meaningful…

Maggie Kinnaman is an APPA Emeritus Member, APPA Fellow, and Past APPA President. In this article she provides helpful tips for completing the APPA Facilities Performance Indicators (FPI) survey for 2013, which closed on December 16, 2013. She began by calling attention to some enhancements that have been added this past year, and encouraged…

Learning analytics is a relatively new field of inquiry and its precise meaning is both contested and fluid (Johnson, Smith, Willis, Levine & Haywood, 2011; LAK, n.d.). Ferguson (2012) suggests that the best working definition is that offered by the first Learning Analytics and Knowledge (LAK) conference: "the measurement, collection,…

"Library Spaces for 21st-Century Learners: A Planning Guide for Creating New School Library Concepts" focuses on planning contemporary school library spaces with user-based design strategies. The book walks school librarians and administrators through the process of gathering information from students and other stakeholders involved in…

A systematic analysis was conducted of measurement and reporting practices related to procedural fidelity in single-case research for the past 30 years. Previous reviews of fidelity primarily reported whether fidelity data were collected by authors; these reviews reported that collection was variable, but low across journals and over time. Results…

Collaboration between university researchers and community agencies offers the opportunity to pilot innovative, evidence-informed interventions. Partnerships of this nature also present unique ethical dilemmas to community agencies, particularly regarding research and agency policies, navigating privacy protections, adequate and consistent…

This chapter reviews actionable data use--both as an umbrella term and as a specific concept--developed in three different traditions that data/information can inform and guide P-20 educational practice toward better outcomes. The literatures reviewed are known as data-driven decision making (DDDM), education data mining (EDM), and learning…

Various data systems have been long and pervasively used in schools to collect student data. However, very few educators are able to apply their collected data to improve their teaching. The purpose of this article is to investigate how middle school teachers adapt data mining protocols to enhance their teaching and to improve their students'…

Educators employ different methods of teaching and learning to help their students succeed. One such method is personalized learning, which aims to tailor instruction to the needs, talents, and skills of each individual learner. Rapid advances in technology platforms and digital content over the last decade have enabled more widespread use of…

This report describes how chronic absence and conditions for learning are interconnected issues that can have an impact on a child's educational success. The report identifies specific conditions for learning that can improve school experiences for students and staff and help reduce absenteeism and improve academic outcomes. It includes brief case…