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Moore, Colleen; Bracco, Kathy Reeves; Nodine, Thad; Esch, Camille; Grubb, Brock – Education Insights Center, 2019
California does not have a statewide data system that tracks student progress through K-12 and higher education and into the workforce. As a result, educators and policymakers cannot answer critical questions about student progress, which limits their ability to make evidence-based changes to support better and more equitable opportunities for…
Descriptors: Progress Monitoring, Data Collection, Elementary Secondary Education, Higher Education
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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
UK Department for Education, 2021
Education Technology (EdTech) refers to the practice of using technology to support teaching and the effective day-to-day management of education institutions. In 2019, the Department for Education (DfE) set out its vision to support schools and colleges to embed technology effectively by supporting them to better understand the opportunities and…
Descriptors: Educational Technology, Technology Uses in Education, Foreign Countries, Distance Education
Golden, Cindy – Brookes Publishing Company, 2018
Collecting data on behavior, academic skills, and Individualized Education Plan (IEP) goals is an essential step in showing student progress--but it can also be a complicated, time-consuming process. Take the worry and stress out of data collection with this ultra-practical resource, packed with the tools you need to organize, manage, and monitor…
Descriptors: Data Collection, Information Management, Student Records, Student Behavior
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
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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
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Olufunke, Ajayi E.; Sunday, Adodo O.; Olusola, Ajayi O. – Journal on School Educational Technology, 2020
Students' academic achievement outcome hinges on many factors such as attendance, behaviour, motivation and parental monitoring of students' performance. Unlike in primary and secondary schools where there are templates for parents to monitor their wards' academic records, the situation is different in tertiary institutions. Consequently, this…
Descriptors: Foreign Countries, Undergraduate Students, Student Records, Parents
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Charleer, Sven; Klerkx, Joris; Duval, Erik – Journal of Learning Analytics, 2014
This article explores how information visualization techniques can be applied to learning analytics data to help teachers and students deal with the abundance of learner traces. We also investigate how the affordances of large interactive surfaces can facilitate a collaborative sense-making environment for multiple students and teachers to explore…
Descriptors: Information Management, Information Utilization, Student Records, Progress Monitoring
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Hunter, Gerald P.; Williamson, Stephanie; Wilks, Asa; Hanley, Janet M.; Stecher, Brian M. – RAND Corporation, 2020
The Intensive Partnerships for Effective Teaching initiative, which was funded by the Bill & Melinda Gates Foundation, was a multiyear effort to improve student outcomes--particularly high school graduation and college attendance among low-income minority students--by increasing student access to effective teaching. The RAND Corporation worked…
Descriptors: Data Collection, Data Use, Instructional Effectiveness, Teacher Effectiveness
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
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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
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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
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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
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