In this work we introduce the system for adaptive practice of foundations of mathematics. Adaptivity of the system is primarily provided by selection of suitable tasks, which uses information from a domain model and a student model. The domain model does not use prerequisites but works with splitting skills to more concrete sub-skills. The student…

With the growing popularity of MOOCs and sharp trend of digitalizing education, there is a huge amount of free digital educational material on the web along with the activity logs of large number of participating students. However, this data is largely unstructured and there is hardly any information about the relationship between material from…

This field report is the ninth in a series produced by the Center on Innovations in Learning's League of Innovators. The series describes, discusses, and analyzes policies and practices that enable personalization in education. This report introduces sessions from the "Conversations with Innovators" event held at Temple University, June…

Course selection can be a daunting task, especially for first year students. Sub-optimal selection can lead to bad performance of students and increase the dropout rate. Given the availability of historic data about student performances, it is possible to aid students in the selection of appropriate courses. Here, we propose a method to compose a…

There is extensive research on the benefits of making data-informed decisions to improve learning, but these benefits rely on the data being effectively interpreted. Despite educators' above-average intellect and education levels, there is evidence many educators routinely misinterpret student data. Data analysis problems persist even at districts…

College and career pathways represent a significant national educational reform movement supported by federal, state, and philanthropic funders. High school pathways combine career and technical education with rigorous academics, work-based learning, and student supports to provide equitable access to postsecondary opportunities. Strong research…

A recent trend in data-informed continuous improvement efforts is the practice of student-involved data use (SIDU), wherein teachers guide students in tracking and analyzing their own learning data. However, as SIDU is a newer emphasis in educational data use, research is scarce as to how teachers (preservice or veteran) develop the knowledge and…

The benefits of making data-informed decisions to improve learning rely on educators correctly interpreting given data. Many educators routinely misinterpret data, even at districts with proactive support for data use. The tool most educators use for data analyses, which is an information technology data system or its reports, typically reports…

This paper aims to present the role, values, and legal policy issues facing public Library resources in supporting students to achieve academic success. Research indicates that majority of people that own or work in the Library tend to ignore some of the vital roles, values and legal policy issues paramount to libraries. Some of these issues are…

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…

Student feedback surveys are an important component of the continuous improvement cycle at the University of Newcastle. This article describes a recently adopted holistic approach to collecting, analysing, reporting and acting on student feedback on courses (units of study), programs (collection of courses leading to an award) and the student…

Building Assets Reducing Risks (BARR) is a social emotional model that achieves academic outcomes through combining use of real-time student data with proven relationship-building strategies and intensive teacher collaboration to prevent course failure. BARR is a recipient of US Department of Education "Investing in Innovation (i3)"…

Districts expend a considerable amount of time, effort, and resources providing student performance data to teachers to inform instruction, and examining those data for organizational decision-making. Yet rarely, if ever, are these outcome data connected to what goes on in classrooms. In this experimental study, the author reports on the…

This paper reviews the question of the cost and benefits of data for the analysis of state policy questions, and concludes that in the abstract the question cannot be answered; rather, it must be considered on a continuing basis whenever data is to be collected in the support of baseline studies or special projects. The paper suggests six criteria…

The purpose of this case study was to provide the Portland Public Schools' Research and Evaluation Department with information to guide the development of improved data collection, reporting, and information delivery systems in order to target these systems to more effectively meet the decision-making needs of teachers, principals, parents and…