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Rihák, Jirí – International Educational Data Mining Society, 2015
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…
Descriptors: Mathematics Achievement, Mathematics Skills, Models, Reaction Time
Groves, Garrett; Palmer, Iris – NGA Center for Best Practices, 2015
Governors plays a central role in ensuring that public educational institutions provide students with the knowledge and abilities required for a successful life and career. The systemic use of data from education and labor markets informs governors and other policymakers of the effectiveness and efficiency of their existing postsecondary systems…
Descriptors: College Graduates, Education Work Relationship, Labor Market, Data
Malloy, Courtney L.; Lee, Janet S.; Cawthon, Stephanie W. – Odyssey: New Directions in Deaf Education, 2016
In today's world, much of what used to be individual work has become collaborative. Moreover, complex change initiatives often require individuals within and across organizations to team up to set and achieve meaningful goals. The role of researchers and evaluators is to offer support that can be used to strengthen the work of organizations and…
Descriptors: Deafness, Hearing Impairments, Evaluative Thinking, Abstract Reasoning
Prinsloo, Paul; Slade, Sharon – Journal of Learning Analytics, 2016
In light of increasing concerns about surveillance, higher education institutions (HEIs) cannot afford a simple paternalistic approach to student data. Very few HEIs have regulatory frameworks in place and/or share information with students regarding the scope of data that may be collected, analyzed, used, and shared. It is clear from literature…
Descriptors: Data Collection, Data Analysis, Educational Research, Information Security
Baker, Ryan; Twyman, Janet S. – Center on Innovations in Learning, Temple University, 2016
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…
Descriptors: Information Technology, Technology Uses in Education, Technology Integration, Educational Improvement
Hordosy, Rita – Comparative Education, 2014
Many current national and institutional education policies address the issue of raising participation amongst young people and enhancing employability after leaving school or university. What sort of information are these policies built on? This paper compares national information systems from the last three decades across Europe that gather…
Descriptors: Foreign Countries, Information Systems, Graduates, Dropouts
McDaniel, Rudy; Fanfarelli, Joseph R. – British Journal of Educational Technology, 2015
This dataset contains participant data related to the use of badging (achievement) feedback in pedagogical design. Two sections each of web-based graphic design and web design undergraduate courses were offered at the University of Central Florida. A badging system for achievements was included in one section of each. Performance, engagement and…
Descriptors: Recognition (Achievement), Evaluation Methods, Information Storage, Feedback (Response)
Pence, Harry E. – Journal of Educational Technology Systems, 2014
Big Data Analytics is a topic fraught with both positive and negative potential. Big Data is defined not just by the amount of information involved but also its variety and complexity, as well as the speed with which it must be analyzed or delivered. The amount of data being produced is already incredibly great, and current developments suggest…
Descriptors: Data Analysis, Data Collection, Privacy, Definitions
Data Quality Campaign, 2014
Most personal student information stays local. Districts, states, and the federal government all collect data about students for important purposes like informing instruction and providing information to the public. But the type of data collected, and who can access them, is different at each point. This graphic shows how student data--from…
Descriptors: Data Collection, Information Utilization, Graphs, Access to Information
Whitfield, Christina; Armstrong, John; Weeden, Dustin – State Higher Education Executive Officers, 2019
Since 2010, the State Higher Education Executive Officers Association (SHEEO) has periodically administered the "Strong Foundations" survey, which documents the content, structure, and effective use of state postsecondary student unit record systems (PSURSs). This report highlights the results of the fourth administration of the survey,…
Descriptors: Postsecondary Education, Information Systems, Student Records, Data Collection
Traxler, John – Journal of Learning for Development, 2016
Mobile learning has moved in the last decade from being a small, scattered research interest to being viewed by many international agencies as a way of delivering their humanitarian missions to the developing contexts of the global South. This paper explores and documents fundamental concepts and concerns that characterize or perhaps jeopardise…
Descriptors: Electronic Learning, Educational Research, Educational Policy, Policy Analysis
Gummer, Edith; Mandinach, Ellen – Teachers College Record, 2015
Background: The increasing focus on education as an evidence-based practice requires that educators can effectively use data to inform their practice. At the level of classroom instructional decision making, the nature of the specific knowledge and skills teachers need to use data effectively is complex and not well characterized. Being able to…
Descriptors: Information Literacy, Information Utilization, Data Analysis, Data Collection
Bocala, Candice; Boudett, Kathryn Parker – Teachers College Record, 2015
Background: Institutions of higher education, specifically schools of education, should play a pivotal role in supporting educators' development of data literacy for teaching. While novice teachers are often prepared to use test-based assessment data, they learn these experiences in isolated courses that do not connect to instruction or school…
Descriptors: Teacher Educators, Colleges, Teacher Education Programs, Evaluation Methods
Sparks, Betsy H. – ProQuest LLC, 2014
Business Intelligence is a major expenditure in many organizations and necessary for competitive advantage. These expenditures do not result in maximum benefits for the organization if the information obtained from the Business Intelligence System (BIS) is not used in the management decision-making process. This quantitative research study used an…
Descriptors: Management Information Systems, Decision Making, Information Utilization, Performance Factors
Frank, Stephen; Trawick-Smith, Joseph – Education Resource Strategies, 2014
K-12 education resources are often allocated non-strategically, with schools spending time and money on activities that have little relationship to student outcomes. Most of these decisions take place within districts, rooted in the processes of setting schedules, staffing levels, and assignments, and creating final budgets. Local Education…
Descriptors: State Agencies, School Districts, Elementary Secondary Education, Resource Allocation

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