NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)20
Since 2006 (last 20 years)32
Assessments and Surveys
Program for International…1
What Works Clearinghouse Rating
Showing 1 to 15 of 41 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Prinsloo, Paul; Slade, Sharon – New Directions for Institutional Research, 2019
As institutions of higher education increasingly look to data as evidence to support planning, allocate resources, and inform teaching and pedagogy, ethical considerations regarding learning analytics have evolved from being on the margins to more central in the conversations surrounding institutional uses of student data. After outlining this…
Descriptors: Higher Education, College Students, Student Records, Data
Peer reviewed Peer reviewed
Direct linkDirect link
Yeung, Fanny P. F.; Fallucca, Amber – New Directions for Institutional Research, 2017
This chapter illustrates two campus processes that utilized student-level data management systems, such as student record systems, assessment platforms, and comprehensive student records, to assess student outcomes relevant to campus missions, goals, and learning outcomes.
Descriptors: College Students, Student Records, Management Systems, Student Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
Porter, Stephen R.; Conzelmann, Johnathan G. – Research in Higher Education, 2017
Students filling out the FAFSA list colleges and universities where they wish their data sent. Until recently, colleges were provided this list, and the practice was suspended, given concerns that colleges were using the list to strategically allocate aid. Using the, 2011-2012 NPSAS, we analyze student financial aid packages to determine if list…
Descriptors: Strategic Planning, Information Utilization, Use Studies, Colleges
Peer reviewed Peer reviewed
Direct linkDirect link
Linley, Jodi L.; Kilgo, Cindy Ann – Journal of College Student Development, 2018
This article details the process the authors--a doctoral student at the time, and a faculty member--engaged in to change the ways the University of Iowa (UI) asks for and reports student name, gender pronouns, sex, and gender identity. The UI Inclusive Student Records Initiative raises implications for practice and research. Two focus groups--one…
Descriptors: Student Records, Focus Groups, Gender Issues, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Maldonado, Edgar; Seehusen, Vicky – Journal of Education for Business, 2018
The authors used a clustering technique to analyze business course choices made by students who completed an individualized degree in a large, urban, public university. They looked for patterns to answer the research question, "What can we learn from students' choices to inform the curricular redesign process in business programs?" The…
Descriptors: Business Administration Education, Curriculum Development, Cluster Grouping, Course Selection (Students)
Peer reviewed Peer reviewed
Direct linkDirect link
Reidenberg, Joel R.; Schaub, Florian – Theory and Research in Education, 2018
Education, Big Data, and student privacy are a combustible mix. The improvement of education and the protection of student privacy are key societal values. Big Data and Learning Analytics offer the promise of unlocking insights to improving education through large-scale empirical analysis of data generated from student information and student…
Descriptors: Data Collection, Information Security, Student Records, Privacy
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Sanya; Ni, Cheng; Liu, Zhi; Peng, Xian; Cheng, Hercy N. H. – International Journal of Distance Education Technologies, 2017
Nowadays, Massive Open Online Courses (MOOCs) have obtained a rapid development and drawn much attention from the areas of learning analytics and artificial intelligence. There are lots of unstructured data being generated in online reviews area. The learning behavioral data become more and more diverse, and they prompt the emergence of big data…
Descriptors: Online Courses, Student Records, Learning Strategies, Cognitive Style
Peer reviewed Peer reviewed
Direct linkDirect link
Gannon-Slater, Nora; La Londe, Priya G.; Crenshaw, Hope L.; Evans, Margaret E.; Greene, Jennifer C.; Schwandt, Thomas A. – Journal of Educational Administration, 2017
Purpose: Data use cultures in schools determine data use practices. Such cultures can be muted by powerful macro accountability and organizational learning cultures. Further, strong equity-oriented data use cultures are challenging to establish. The purpose of this paper is to engage these cultural tensions. Design/methodology/approach: The data…
Descriptors: Accountability, Organizational Culture, Information Utilization, Observation
Peer reviewed Peer reviewed
Direct linkDirect link
Barra, Cristian; Zotti, Roberto – Tertiary Education and Management, 2017
The main purpose of the paper is to estimate the efficiency of a big public university in Italy using individual student-level data, modeling exogenous variables in human capital formation through a heteroscedastic stochastic frontier approach. Specifically, a production function for tertiary education has been estimated with emphasis on…
Descriptors: Efficiency, School Statistics, Student Records, Information Utilization
Kajitani, Alex – Educational Horizons, 2015
In this article, the author argues that student data is more than just test scores. Alex Kajitani notes that data matter because they provide crucial information to teachers that enable them to better serve their students. Teachers can use data to determine students' strengths and areas of need. The effective use of data means being able to…
Descriptors: Student Records, Scores, Statistical Data, Information Utilization
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Stahl, William M.; Karger, Joanne – Journal of Special Education Leadership, 2016
The rapid adoption of digital content and delivery systems, each with its own capacity to track, store, and analyze student usage, interactions, and academic outcomes at both a highly detailed and granular level, has emerged as an area of widespread opportunity, but also of concern. The comingling of various student data sets (demographics, usage,…
Descriptors: Privacy, Electronic Learning, Special Education, Disabilities
Peer reviewed Peer reviewed
Direct linkDirect link
Kilgore, Wendy – College and University, 2018
The American Association of Collegiate Registrars and Admissions Officers (AACRAO) examined nine research areas of interest to its members in 2017. Six took the form of 60-Second Surveys; one was a career profile; another examined community college completion initiatives including student attitudes about community college; and one was completed in…
Descriptors: Professional Associations, Registrars (School), Admissions Officers, Educational Research
Krueger, Keith R.; Moore, Bob – Phi Delta Kappan, 2015
As technology has leaped forward to provide valuable learning tools, parents and policy makers have begun raising concerns about the privacy of student data that schools and systems have. Federal laws are intended to protect students and their families but they have not and will never be able to keep up with rapidly evolving technology. School…
Descriptors: Student Records, Data, Privacy, Technological Advancement
Mandinach, Ellen B.; Parton, Brennan M.; Gummer, Edith S.; Anderson, Rachel – Phi Delta Kappan, 2015
Data use should be a continuous, integrated part of practice, a tool that is used all the time. Good teachers have been doing data-driven decision making all along, it just has not been recognized by that term. But there is more work to be done to ensure that educators know how to continuously, effectively, and ethically use data; that is, to help…
Descriptors: Data, Information Utilization, Decision Making, Ethics
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
Previous Page | Next Page ยป
Pages: 1  |  2  |  3