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Chen, Li; Lu, Min; Goda, Yoshiko; Yamada, Masanori – International Association for Development of the Information Society, 2019
Metacognition is an aspect in self-regulated learning and is necessary to achieve such learning in an effective and efficient manner. However, it is not always easy and accurate for learners to monitor or assess their own metacognition. In this study, we designed a learning analytics dashboard to improve self-regulated learning in online…
Descriptors: Learning Analytics, Metacognition, Learning Strategies, Information Management
Massachusetts Department of Elementary and Secondary Education, 2016
A rise in data availability gives educators the opportunity to tailor instructional practices and interventions to student needs and invest resources in areas where students require the most support. Massachusetts developed the Early Warning Indicator System (EWIS), which synthesizes the wealth of student data available in the state, including…
Descriptors: At Risk Students, Progress Monitoring, Educational Indicators, Ability Identification
Reinders, Hayo – JALT CALL Journal, 2018
If only we could know what our students were up to at any given moment in class. Who is paying attention, and who is falling asleep? Who understands the past perfect and who thinks it is about something wonderful that happened yesterday? And wouldn't it be great if we knew who is motivated and who is ready to drop out of the course? Language…
Descriptors: Data Collection, Data Analysis, Language Teachers, Learner Engagement
Texas Education Agency, 2017
The Texas Education Agency (TEA) prepares an annual report on graduates and dropouts in Texas public secondary schools. This report includes state summaries of the annual dropout rate, longitudinal graduation and dropout rates, and state attrition rates. In addition to statewide statistics, the report provides historical information about dropout…
Descriptors: Secondary School Students, High School Graduates, Graduation Rate, Dropout Rate
Wang, Zhanjun; Qiao, Weifeng; Li, Jiangbo – Chinese Education & Society, 2016
Higher education monitoring evaluation is a process that uses modern information technology to continually collect and deeply analyze relevant data, visually present the state of higher education, and provide an objective basis for value judgments and scientific decision making by diverse bodies Higher education monitoring evaluation is…
Descriptors: Higher Education, Progress Monitoring, School Statistics, Academic Achievement
Pérez Gama, Jesús Alfonso; Vega Vega, Anselmo – Universal Journal of Educational Research, 2017
We look for the High Quality Accreditation of tertiary education in two ways: one, involving large amount of information, including issues such as self-assessment, high quality, statistics, indicators, surveys, and field work (process engineering), during several periods of time; and the second, in relation to the information contained there about…
Descriptors: Foreign Countries, Accreditation (Institutions), Higher Education, Educational Quality
Texas Education Agency, 2015
The Texas Education Agency (TEA) prepares an annual report on graduates and dropouts in Texas public secondary schools. This report includes state summaries of the annual dropout rate, longitudinal graduation and dropout rates, and state attrition rates. In addition to statewide statistics, the report provides historical information about dropout…
Descriptors: Secondary School Students, High School Graduates, Graduation Rate, Dropout Rate
Ola, Ade G.; Bai, Xue; Omojokun, Emmanuel E. – Research in Higher Education Journal, 2014
Over the years, companies have relied on On-Line Analytical Processing (OLAP) to answer complex questions relating to issues in business environments such as identifying profitability, trends, correlations, and patterns. This paper addresses the application of OLAP in education and learning. The objective of the research presented in the paper is…
Descriptors: Profiles, Database Management Systems, Information Management, Progress Monitoring
Data Quality Campaign, 2016
Every state can create secure, robust linkages between early childhood and K-12 data systems, and effectively use the information from these linkages to implement initiatives to support programs and children, answer key policy questions, and be transparent about how the state's early childhood investments prepare students for success in school and…
Descriptors: Early Childhood Education, Elementary School Curriculum, Data, Program Implementation
Texas Education Agency, 2016
The Texas Education Agency (TEA) prepares an annual report on graduates and dropouts in Texas public secondary schools. This report includes state summaries of the annual dropout rate, longitudinal graduation and dropout rates, and state attrition rates. In addition to statewide statistics, the report provides historical information about dropout…
Descriptors: High School Graduates, High School Students, Graduation Rate, Dropout Rate
National Forum on Education Statistics, 2015
The National Forum on Education Statistics (Forum) organized the College and Career Ready (CCR) Working Group to explore how state and local education agencies (SEAs and LEAs) can use data to support college and career readiness initiatives. The working group determined that high-quality data in integrated K12, postsecondary, and workforce data…
Descriptors: Data Analysis, Data Collection, College Readiness, Career Readiness
Data Quality Campaign, 2011
Faced with the need to create a competitive workforce and improve the quality of our education system, states are pursuing policy agendas to better prepare students for postsecondary education and careers. To inform these agendas, statewide longitudinal data systems (SLDSs) have become an invaluable asset and serve as a tool to help states answer…
Descriptors: Stakeholders, Educational Change, Information Utilization, Information Management
Alabama Department of Education, 2011
This guide is a training and supportive tool for use by local education agencies (LEAs) in the state of Alabama that are utilizing the Science, Technology and Innovation (STI) Information-INow-INFocus information system software. The Graduation Tracking System (GTS) utilizes existing STI technology to capture student information pertaining to…
Descriptors: Guides, Computer Software, Information Management, Student Records
Data Quality Campaign, 2011
As state policymakers strive to ensure that every student is taught by an effective teacher and is ready for college and 21st-century careers, they must also make drastic budget cuts. States cannot do more with less without collecting and using quality data to determine which programs and policies increase student achievement and the state's…
Descriptors: Academic Achievement, Outcomes of Education, Longitudinal Studies, Progress Monitoring
Data Quality Campaign, 2010
Data are most useful when they are transformed into actionable information that people are able to access, understand and use. Thanks to both state and federal leadership, political commitment and investment of financial resources, states have made tremendous progress in the building of statewide K-12 longitudinal data systems. However, to ensure…
Descriptors: Educational Policy, Elementary Secondary Education, Longitudinal Studies, Progress Monitoring
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