Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 8 |
Since 2016 (last 10 years) | 12 |
Since 2006 (last 20 years) | 12 |
Descriptor
Data Use | 12 |
Learning Analytics | 12 |
Universities | 12 |
Foreign Countries | 10 |
Academic Achievement | 3 |
College Administration | 3 |
College Faculty | 3 |
College Students | 3 |
Privacy | 3 |
Program Implementation | 3 |
Stakeholders | 3 |
More ▼ |
Source
Author
Publication Type
Reports - Research | 10 |
Journal Articles | 9 |
Dissertations/Theses -… | 1 |
Numerical/Quantitative Data | 1 |
Reports - Descriptive | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 12 |
Postsecondary Education | 12 |
Secondary Education | 2 |
Elementary Education | 1 |
Audience
Location
Australia | 1 |
Austria | 1 |
Belgium | 1 |
Europe | 1 |
Italy (Milan) | 1 |
Malaysia (Kuala Lumpur) | 1 |
Maryland (Baltimore) | 1 |
Mexico | 1 |
Namibia | 1 |
New Zealand | 1 |
Nigeria | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Rosa, Maria J.; Williams, James; Claeys, Joke; Kane, David; Bruckmann, Sofia; Costa, Daniela; Rafael, José Alberto – Quality in Higher Education, 2022
Drawn from the SQELT Erasmus+ project, this article explores how learning analytics is implemented at a set of six European universities in the context of their performance data management models, including its multiple functions and ethical issues. It further identifies possible good practice and policy recommendations at decision-making level.…
Descriptors: Learning Analytics, Data Use, Ethics, Information Management
Qian Liu; Tehmina Gladman; Julia Muir; Chen Wang; Rebecca Grainger – SAGE Open, 2023
One apparent challenge associated with learning analytics (LA) has been to promote adoption by university educators. Researchers suggest that a visualization dashboard could serve to help educators use LA to improve learning design (LD) practice. We therefore used an educational design approach to develop a pedagogically useful and easy-to-use LA…
Descriptors: Learning Management Systems, Learning Analytics, Visual Aids, Instructional Design
Tomás Bautista-Godínez; Gerardo Castañeda-Garza; Ricardo Pérez Mora; Hector G. Ceballos; Verónica Luna de la Luz; J. Gerardo Moreno-Salinas; Irma Rocío Zavala-Sierra; Roberto Santos-Solórzano; Carlos Iván Moreno Arellano; Melchor Sánchez-Mendiola – Journal of Learning Analytics, 2024
The adoption of learning analytics (LA) in higher education institutions (HEIs) in Mexico is still at an early stage despite increasing global interest and advances in the field. The use of educational data remains a challenging puzzle for many universities, which strive to provide students, teachers, and institutional administrators with…
Descriptors: Foreign Countries, Learning Analytics, Universities, Program Implementation
Chinsook, Kittipong; Khajonmote, Withamon; Klintawon, Sununta; Sakulthai, Chaiyan; Leamsakul, Wicha; Jantakoon, Thada – Higher Education Studies, 2022
Big data is an important part of innovation that has recently attracted a lot of interest from academics and practitioners alike. Given the importance of the education industry, there is a growing trend to investigate the role of big data in this field. Much research has been undertaken to date in order to better understand the use of big data in…
Descriptors: Student Behavior, Learning Analytics, Computer Software, Rating Scales
Ishari Amarasinghe; Konstantinos Michos; Francisco Crespi; Davinia Hernández-Leo – Journal of Computer Assisted Learning, 2024
Background: Data-driven educational technology solutions have the potential to support teachers in different tasks, such as the designing and orchestration of collaborative learning activities. When designing, such solutions can improve teacher understanding of how learning designs impact student learning and behaviour; and guide them to refine…
Descriptors: Learning Activities, Educational Technology, Design, Cooperative Learning
Esomonu, Nkechi Patricia-Mary; Esomonu, Martins Ndibem; Eleje, Lydia Ijeoma – International Journal of Evaluation and Research in Education, 2020
As a result of increasing complexity of assessing all aspects of human behaviours, a lot of data are generated on individual learner and from teachers and the system. What qualifies as big data in assessment in Nigeria? This research identifies the sources of assessment big data in Nigeria, investigates how the big data are generated and…
Descriptors: Foreign Countries, Expertise, Learning Analytics, Student Evaluation
Gasevic, Dragan; Tsai, Yi-Shan; Dawson, Shane; Pardo, Abelardo – International Journal of Information and Learning Technology, 2019
Purpose: The analysis of data collected from user interactions with educational and information technology has attracted much attention as a promising approach to advancing our understanding of the learning process. This promise motivated the emergence of the field of learning analytics and supported the education sector in moving toward…
Descriptors: Learning Analytics, Adoption (Ideas), Technology Integration, Foreign Countries
Lim, Soo Mang; Ghavifekr, Simin; Kenayathulla, Husaina Banu – Malaysian Online Journal of Educational Sciences, 2021
Dramatic shifts brought about by globalization, technological innovation, and data-driven decision-making practices are immensely reflected in the landscape of 21st century higher education. Learning Analytics or LA is an emerging multidisciplinary, technological practice with the ultimate goal of producing effective learning to improve students'…
Descriptors: Learning Analytics, Strategic Planning, Leadership Styles, Administrative Policy
Varun Mandalapu – ProQuest LLC, 2021
Educational data mining focuses on exploring increasingly large-scale data from educational settings, such as Learning Management Systems (LMS), and developing computational methods to understand students' behaviors and learning settings better. There has been a multitude of research dedicated to studying the student learning process, leading to…
Descriptors: Models, Student Behavior, Learning Management Systems, Data Use
Clark, Jo-Anne; Liu, Yulin; Isaias, Pedro – Australasian Journal of Educational Technology, 2020
Critical success factors (CSFs) have been around since the late 1970s and have been used extensively in information systems implementations. CSFs provide a comprehensive understanding of the multiple layers and dimensions of implementation success. In the specific context of learning analytics (LA), identifying CSFs can maximise the possibilities…
Descriptors: Learning Analytics, Program Implementation, Data Use, Accuracy
Raudonyte, Ieva – UNESCO International Institute for Educational Planning, 2021
Although the number of countries conducting large-scale assessments has increased significantly over the past two decades, this has not necessarily led to the effective use of learning assessment data in policy-making and planning. To better understand the reasons for this, the UNESCO International Institute for Educational Planning (IIEP)…
Descriptors: Learning Analytics, Policy Formation, Educational Planning, Educational Policy
Hewitt, Rachel; Natzler, Michael – Higher Education Policy Institute, 2019
Higher education institutions collect and hold huge amounts of data on students, whether for regulatory purposes or to gather information about students' experiences. In this report we explore students views on data security, learning analytics and the information universities hold and share on students' health and wellbeing. [This report was…
Descriptors: Information Security, Student Attitudes, Young Adults, Learning Analytics