NotesFAQContact Us
Collection
Advanced
Search Tips
Assessments and Surveys
New Jersey High School…1
What Works Clearinghouse Rating
Showing 1 to 15 of 317 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Chang Liu; Charles Downing – Journal of Information Systems Education, 2024
This teaching tip describes using Microsoft Power BI Desktop in a class to analyze unstructured data from an exit survey of prior students from a Master of Science in Management Information Systems program. Results from a short survey administered to these students showed that the students, using the no-code Power BI, were able to accomplish their…
Descriptors: Graduate Students, Program Effectiveness, Information Science, Management Information Systems
Advance CTE: State Leaders Connecting Learning to Work, 2022
This brief, the second in the series, advances a theory of change that centers the learner experience in strategies to improve institutional data collection and use and strengthen college information management systems. It is the second in the Advance CTE's Advancing Postsecondary CTE Data Quality Initiative (PDI) series highlighting five states…
Descriptors: Vocational Education, Program Improvement, Data Use, Data Collection
Yoo, Paul Youngmin; Whitaker, Anamarie A.; McCombs, Jennifer Sloan – RAND Corporation, 2019
Expanded learning intermediaries are nonprofit organizations dedicated to making after-school and summer programs better and more accessible for children and youth. They do this by coordinating efforts and resources in a given community, knitting programs together into a cohesive system, helping individual programs function at a high level, and…
Descriptors: Nonprofit Organizations, After School Programs, Summer Programs, Data Collection
National Council on Teacher Quality, 2025
Despite enacting well-intentioned policies to improve teacher recruitment and retention, many states continue to face significant staffing challenges, particularly in high-need schools and hard-to-staff subjects such as math, science, and special education. Two years ago, the National Council on Teacher Quality (NCTQ) set out to explore the…
Descriptors: Teacher Shortage, Teacher Recruitment, Data Collection, Information Management
Peer reviewed Peer reviewed
Direct linkDirect link
Osman, Esam; Hardaker, Glenn; Glenn, Liyana Eliza – International Journal of Information and Learning Technology, 2022
Purpose: Overall quantitative research aims to observe certain fundamental principles of logic and scientific frame of reasoning. There continues to be challenges on how quantitative research is conducted in the field of information systems. Design/methodology/approach: Structured equation modelling (SEM) research identifies concerns about the…
Descriptors: Structural Equation Models, Management Information Systems, Misconceptions, Scientific Methodology
Peer reviewed Peer reviewed
Direct linkDirect link
Lim, Miguel Antonio – Higher Education Policy, 2021
This article reflects on the 'quantified self at work' (Moore and Robinson in New Media Soc 18(11):2774-2792, 2016), neoliberal government (Miller and Rose in Econ Soc 19(1):1-31, 1990; Rose and Miller in Br J Sociol 43(2):173-205, 1992; Ball in J Educ Policy 18(2):215-228, 2003), and the use of bibliometric technologies that record research…
Descriptors: Neoliberalism, Bibliometrics, Research, Higher Education
Education Trust-West, 2024
California's information about opportunities and outcomes in early learning and care, TK-12 schools, colleges, social services, and employment is currently disconnected. A longitudinal data system can be a powerful tool that allows California to identify bright spots, inequities, and roadblocks in our educational system, especially for students of…
Descriptors: State Programs, Statewide Planning, Data Collection, Information Dissemination
Education Trust-West, 2024
In 2019, California passed legislation that called for the creation of its longitudinal data system, the Cradle-to-Career (C2C) Data System. Since then, the state has allocated $40.52 million in funding to support the agency's efforts. Given the substantial state investment and the potential for more, better, and accessible data to answer critical…
Descriptors: State Programs, Statewide Planning, Data Collection, Information Dissemination
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Adejo, Olugbenga; Connolly, Thomas – Journal of Education and Practice, 2017
The increase in education data and advance in technology are bringing about enhanced teaching and learning methodology. The emerging field of Learning Analytics (LA) continues to seek ways to improve the different methods of gathering, analysing, managing and presenting learners' data with the sole aim of using it to improve the student learning…
Descriptors: Higher Education, Program Implementation, Information Utilization, Evidence Based Practice
Peer reviewed Peer reviewed
Direct linkDirect link
Maxwell, Nan L.; Rotz, Dana; Garcia, Christina – American Journal of Evaluation, 2016
This study examines the perceptions of data-driven decision making (DDDM) activities and culture in organizations driven by a social mission. Analysis of survey information from multiple stakeholders in each of eight social enterprises highlights the wide divergence in views of DDDM. Within an organization, managerial and nonmanagerial staff…
Descriptors: Data, Decision Making, Organizational Climate, Organizational Culture
Tucker, Catlin – Educational Leadership, 2015
Technology makes it easier than ever for educators to generate meaningful, ongoing data to inform their teaching, track student progress, and personalize learning. When the author began to explore how she could use technology to quickly assess student skills, data became exciting and took on a new role in her teaching practice. Now she uses data…
Descriptors: Data Collection, Student Motivation, Data, Evidence Based Practice
Peer reviewed Peer reviewed
Direct linkDirect link
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
von Zastrow, Claus; Perez, Zeke, Jr. – Education Commission of the States, 2019
Every U.S. state and the District of Columbia maintain a system to collect and store education data. These systems vary widely in their scope and sophistication -- and, by extension, in their ability to provide information that can guide decision-making. Most states have developed statewide longitudinal data systems, which establish formal…
Descriptors: Data Collection, Elementary Secondary Education, Early Childhood Education, Postsecondary Education
Spielberger, Julie; Axelrod, Jennifer; Dasgupta, Denali; Cerven, Christine; Spain, Angeline; Kohm, Amelia; Mader, Nicholas – Chapin Hall at the University of Chicago, 2016
To support the effectiveness of afterschool programs in fostering skills youth need to succeed in school and life, a growing number of cities have invested in afterschool systems to coordinate disparate programs and funding streams. A primary function of most afterschool systems is to develop and maintain a data system to collect, analyze, and…
Descriptors: After School Programs, Youth Programs, Skill Development, Data Collection
Spielberger, Julie; Axelrod, Jennifer; Dasgupta, Denali; Cerven, Christine; Spain, Angeline; Kohm, Amelia; Mader, Nicholas – Chapin Hall at the University of Chicago, 2016
To support the effectiveness of afterschool programs in fostering skills youth need to succeed in school and life, a growing number of cities have invested in afterschool systems to coordinate disparate programs and funding streams. A primary function of most afterschool systems is to develop and maintain a data system to collect, analyze, and…
Descriptors: After School Programs, Youth Programs, Skill Development, Data Collection
Previous Page | Next Page ยป
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  22