Publication Date
| In 2025 | 1 |
| Since 2024 | 2 |
| Since 2021 (last 5 years) | 2 |
| Since 2016 (last 10 years) | 3 |
| Since 2006 (last 20 years) | 5 |
Descriptor
Source
| EDUCAUSE | 5 |
Author
| Almes, Guy T. | 2 |
| Jenay Robert | 2 |
| Zottola, Ralph J. | 2 |
| Brooks, D. Christopher | 1 |
| Hillegas, Curtis W. | 1 |
| Jamie Reeves | 1 |
| Kathe Pelletier | 1 |
| Lance, Timothy | 1 |
| Lynch, Clifford A. | 1 |
| Mark McCormack | 1 |
| Monaco, Gregory E. | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 3 |
| Reports - Descriptive | 2 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 5 |
| Postsecondary Education | 5 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkJenay Robert – EDUCAUSE, 2025
In the "2024 EDUCAUSE Horizon Report: Cybersecurity and Privacy Edition," a panel of experts agreed that a key practice for advancing the future of higher education cybersecurity and privacy is supporting agency, trust, transparency, and involvement among stakeholders. In fact, these are such important topics for the higher education…
Descriptors: Higher Education, Futures (of Society), Educational Trends, Trust (Psychology)
Kathe Pelletier; Mark McCormack; Nicole Muscanell; Jamie Reeves; Jenay Robert; Nichole Arbino – EDUCAUSE, 2024
In the denouement of the COVID-19 pandemic, talk of a return to "normalcy" in higher education belies the great challenges and ongoing disruptions that yet lie ahead for many institutions. Public perceptions of the value of postsecondary education continue their downward slide, placing institutions in the position of having to…
Descriptors: Trend Analysis, Technology Uses in Education, Educational Technology, Artificial Intelligence
Almes, Guy T.; Zottola, Ralph J. – EDUCAUSE, 2014
This paper is part of series of the EDUCAUSE Center for Analysis and Research Campus Cyberinfrastructure (ECAR-CCI) Working Group. The topic of big data continues to receive a great deal of publicity because of its promise for opening new avenues of scholarly discovery and commercial opportunity. The ability to sift rapidly through massive amounts…
Descriptors: Data Collection, Data Analysis, Higher Education, Technology Uses in Education
Almes, Guy T.; Hillegas, Curtis W.; Lance, Timothy; Lynch, Clifford A.; Monaco, Gregory E.; Mundrane, Michael R.; Zottola, Ralph J. – EDUCAUSE, 2014
This paper is part of series of the EDUCAUSE Center for Analysis and Research Campus Cyberinfrastructure (ECAR-CCI) Working Group. The topic of big data continues to receive a great deal of publicity because of its promise for opening new avenues of scholarly discovery and commercial opportunity. The ability to sift rapidly through massive amounts…
Descriptors: Data Collection, Data Analysis, Higher Education, Technology Uses in Education
Brooks, D. Christopher; Pomerantz, Jeffrey – EDUCAUSE, 2017
For the fourteenth year, the EDUCAUSE Center for Analysis and Research (ECAR) has conducted research on information technology and higher education's most important end users, undergraduate students. For the 2017 report, 43,559 students from 124 institutions in 10 countries and 40 U.S. states participated in the research. The quantitative findings…
Descriptors: Undergraduate Students, Information Technology, Technology Uses in Education, Use Studies
