Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 2 |
| Since 2016 (last 10 years) | 3 |
| Since 2006 (last 20 years) | 3 |
Descriptor
Source
| Association for Institutional… | 3 |
Author
| Andrea Chambers | 1 |
| Arlyn Y. Moreno Luna | 1 |
| Emily Oakes | 1 |
| Hollie Daniels | 1 |
| John Dooris | 1 |
| Michalski, Greg V. | 1 |
| Sean Riordan | 1 |
| Victor Borden | 1 |
| Yih Tsao | 1 |
| Zilvinskis, John | 1 |
Publication Type
| Reports - Research | 2 |
| Numerical/Quantitative Data | 1 |
| Reports - Evaluative | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
| Two Year Colleges | 2 |
| Adult Education | 1 |
Audience
Location
| New York | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Beginning Postsecondary… | 1 |
| National Survey of Student… | 1 |
What Works Clearinghouse Rating
Download full textEmily Oakes; Yih Tsao; Victor Borden – Association for Institutional Research, 2023
Accelerating advancements in learning analytics and artificial intelligence (AI) offers unprecedented opportunities for improving educational experiences. Without including students' perspectives, however, there is a potential for these advancements to inadvertently marginalize or harm the very individuals these technologies aim to support. This…
Descriptors: Learning Analytics, Artificial Intelligence, Student Participation, Decision Making
Andrea Chambers; Hollie Daniels; John Dooris; Arlyn Y. Moreno Luna; Sean Riordan – Association for Institutional Research, 2023
Using the National Center for Education Statistics (NCES) 2012/17 Beginning Postsecondary Students Longitudinal Study (BPS:12/17), this research study explores the persistence to bachelor's degree attainment of adult students. Specifically, this study looks at adult students who expected to earn a bachelor's degree or higher, and analyzes whether…
Descriptors: Bachelors Degrees, Educational Attainment, Learning Analytics, Longitudinal Studies
Zilvinskis, John; Michalski, Greg V. – Association for Institutional Research, 2016
Text mining presents an efficient means to access the comprehensive amount of data found in written records by converting words into numbers and using algorithms to detect relevant patterns. This article presents the fundamentals of text mining, including an overview of key concepts, prevalent methodologies in this work, and popular software…
Descriptors: College Freshmen, Learner Engagement, College Seniors, National Surveys
