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Hanson, Jana M.; Moore, Erica J.; Morseau, Amber; Taylor, Darius D. – Tribal College Journal of American Indian Higher Education, 2023
The U.S. Department of Education has required educational collection and reporting. For postsecondary institutions, this requirement has evolved from the Higher Education General Information Survey (HEGIS), which was used from the 1960s to the 1980s, to the Integrated postsecondary Education Data System (IPEDS) (Aliyeva, Cody, & Low, 2018).…
Descriptors: Evaluation Methods, Tribally Controlled Education, Minority Serving Institutions, Data Collection
Hansen, David M. – Strategic Enrollment Management Quarterly, 2020
In recent years we have developed a data analytics pipeline using artificial neural networks to predict prospective student matriculation for university admissions using very limited demographic data. Predictions are generated at the earliest stages of the admissions process and successfully inform recruiting and admissions staff about the…
Descriptors: Artificial Intelligence, Data Analysis, College Admission, Enrollment Management
Martínez-Ávila, Daniel – Education for Information, 2018
The paper intends to briefly present a view on current trends on our society, highlighting the technical aspects introduced by the big data phenomenon and the machine learning and artificial intelligence algorithms. It covers the threats that privacy and human rights can suffer by the general ignorance about this issues, and calls for a discussion…
Descriptors: Social Change, Trend Analysis, Mathematics, Information Security
Apfeldorf, Michael – Social Education, 2018
Big data analysis involves the examination of large sets of data in order to uncover patterns and trends. Within the social studies or history classroom, such analyses can be effective for gaining insights into historical trends over time or across geographical regions. For instance, using simple technology tools, students can perform word…
Descriptors: Data Collection, Data Analysis, Social Studies, Geographic Regions
Culbertson, Michael J.; Billig, Shelley H. – Regional Educational Laboratory Central, 2016
Rural districts have long faced challenges in closing achievement gaps between subgroups of students. This brief report describes key decision points and considerations for decision-makers interested in identifying rural districts that have closed academic achievement gaps. Examining practices in these districts may suggest activities associated…
Descriptors: Rural Schools, School Districts, Academic Achievement, Achievement Gap
Dillenbourg, Pierre – International Journal of Artificial Intelligence in Education, 2016
How does AI&EdAIED today compare to 25 years ago? This paper addresses this evolution by identifying six trends. The trends are ongoing and will influence learning technologies going forward. First, the physicality of interactions and the physical space of the learner became genuine components of digital education. The frontier between the…
Descriptors: Artificial Intelligence, Educational Trends, Trend Analysis, Educational Technology
Lee, Victor R. – Educational Technology, 2013
The Quantified Self (QS) movement is a growing global effort to use new mobile and wearable technologies to automatically obtain personal data about everyday activities. The social and material infrastructure associated with the Quantified Self (QS) movement provides a number of ideas that educational technologists should consider incorporating…
Descriptors: Educational Technology, Handheld Devices, Educational Practices, Educational Change
North Central Comprehensive Center, 2012
Schools and school districts are data-rich environments, with heaps of data on student demographics, achievement, outcomes, and perceptions. With so much data available, it can be easy to get caught up in the sheer enormity of the data sets. A cohesive data analysis and decision-making process can help schools, districts, and additional…
Descriptors: Data Collection, Data Analysis, Guides, Inquiry
North Central Comprehensive Center, 2012
Schools and school districts are data-rich environments, with heaps of data on student demographics, achievement, outcomes, and perceptions. With so much data available, it can be easy to get caught up in the sheer enormity of the data sets. A cohesive data analysis and decision-making process can help schools, districts, and additional…
Descriptors: Data Collection, Data Analysis, Guides, Inquiry
Huff-Eibl, Robyn; Miller-Wells, John; Begay, Wendy – Journal of Access Services, 2014
This article describes the process and role frontline access and public service staff play in needs assessment and evaluation of user services, specifically in understanding the voice of the customer. Information includes how the University of Arizona Libraries have incorporated daily data collection into the strategic planning process, resources…
Descriptors: Library Services, Library Development, Decision Making, Data
Xu, Yonghong Jade – New Directions for Institutional Research, 2012
There is a steady line of research to understand faculty diversity and its impact on the work life quality of faculty and learning outcomes of students in the U.S. higher education systems. What makes this volume unique is that, rather than treating diversity as a static and simplistic concept, the chapter authors presented information to show…
Descriptors: Institutional Research, Diversity (Faculty), College Faculty, Population Trends
New Jersey Department of Education, 2018
This report presents information provided by New Jersey public schools for the 2016-17 school year on incidents of violence; vandalism; weapon offenses; substance offenses; and harassment, intimidation, and bullying (HIB). The information is presented annually by the New Jersey Department of Education (NJDOE) to the Governor and Legislature to…
Descriptors: Weapons, Charter Schools, Substance Abuse, Violence
Kezar, Adrianna; Maxey, Daniel – New Directions for Institutional Research, 2012
Institutional researchers might know more about non-tenure-track (NTT) faculty than leaders on many college campuses, particularly four-year institutions and research universities (Cross and Goldenberg, 2009). As such, institutional researchers play an important role in educating campus leaders about this growing segment of the academic workforce.…
Descriptors: College Faculty, Tenure, Institutional Research, Researchers
New Jersey Department of Education, 2017
This report presents information provided by New Jersey public schools for the 2015-16 school year on incidents of violence; vandalism; weapon offenses; substance offenses; and harassment, intimidation, and bullying (HIB). The information is presented annually by the New Jersey Department of Education (NJDOE) to the Governor and Legislature to…
Descriptors: Weapons, Charter Schools, Substance Abuse, Violence
Malerba, Cathy; Herrera, Angelica Ware – Online Submission, 2009
This report summarizes external research requests submitted to and reviewed by AISD staff during the 2008-2009 school year.
Descriptors: Research Proposals, Educational Research, Trend Analysis, Participant Characteristics