Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 6 |
Since 2006 (last 20 years) | 7 |
Descriptor
Foreign Countries | 7 |
Data Analysis | 5 |
Higher Education | 4 |
Ethics | 3 |
Learning Analytics | 3 |
Program Implementation | 3 |
Adoption (Ideas) | 2 |
College Faculty | 2 |
College Students | 2 |
Data Collection | 2 |
Data Use | 2 |
More ▼ |
Source
Journal of Learning Analytics | 7 |
Author
Rienties, Bart | 2 |
Tsai, Yi-Shan | 2 |
Alexander, Shirley | 1 |
Boroowa, Avinash | 1 |
Clow, Doug | 1 |
Cormack, Andrew | 1 |
Dawson, Shane | 1 |
Ferguson, Rebecca | 1 |
Gasevic, Dragan | 1 |
Gaševic, Dragan | 1 |
Herodotou, Christothea | 1 |
More ▼ |
Publication Type
Journal Articles | 7 |
Reports - Research | 6 |
Information Analyses | 1 |
Reports - Descriptive | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 5 |
Postsecondary Education | 5 |
Audience
Location
United Kingdom | 7 |
Europe | 2 |
Australia | 1 |
Estonia | 1 |
Spain | 1 |
Switzerland | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Cormack, Andrew; Reeve, David – Journal of Learning Analytics, 2022
With student and staff wellbeing a growing concern, several authors have asked whether existing data might help institutions provide better support. By analogy with the established field of Learning Analytics, this might involve identifying causes of stress, improving access to information for those who need it, suggesting options, providing rapid…
Descriptors: Foreign Countries, Well Being, Data Use, Ethics
Tsai, Yi-Shan; Whitelock-Wainwright, Alexander; Gasevic, Dragan – Journal of Learning Analytics, 2021
The adoption of learning analytics (LA) in complex educational systems is woven into sociocultural and technical challenges that have induced distrust in data and difficulties in scaling LA. This paper presents a study that investigated areas of distrust and threats to trustworthy LA through a series of consultations with teaching staff and…
Descriptors: Learning Analytics, Program Implementation, Trust (Psychology), Higher Education
Nguyen, Quan; Huptych, Michal; Rienties, Bart – Journal of Learning Analytics, 2018
Extensive research in learning science has established the importance of time management in online learning. Recently, learning analytics (LA) has shed further lights on the temporal characteristics of learning by allowing researchers to capture authentic digital footprints of student learning behaviours. Nonetheless, students' timing of…
Descriptors: Time Management, Online Courses, Educational Technology, Technology Uses in Education
Tsai, Yi-Shan; Moreno-Marcos, Pedro Manuel; Jivet, Ioana; Scheffel, Maren; Tammets, Kairit; Kollom, Kaire; Gaševic, Dragan – Journal of Learning Analytics, 2018
This paper introduces a learning analytics policy and strategy framework developed by a cross-European research project team -- SHEILA (Supporting Higher Education to Integrate Learning Analytics), based on interviews with 78 senior managers from 51 European higher education institutions across 16 countries. The framework was developed adapting…
Descriptors: Data Analysis, Learning, Educational Policy, Higher Education
Ferguson, Rebecca; Macfadyen, Leah P.; Clow, Doug; Tynan, Belinda; Alexander, Shirley; Dawson, Shane – Journal of Learning Analytics, 2014
A core goal for most learning analytic projects is to move from small-scale research towards broader institutional implementation, but this introduces a new set of challenges because institutions are stable systems, resistant to change. To avoid failure and maximize success, implementation of learning analytics at scale requires explicit and…
Descriptors: Educational Research, Data Collection, Data Analysis, Barriers
Herodotou, Christothea; Rienties, Bart; Verdin, Barry; Boroowa, Avinash – Journal of Learning Analytics, 2019
Predictive Learning Analytics (PLA) aim to improve learning by identifying students at risk of failing their studies. Yet, little is known about how best to integrate and scaffold PLA initiatives into higher education institutions. Towards this end, it becomes essential to capture and analyze the perceptions of relevant educational stakeholders…
Descriptors: Prediction, Data Analysis, Higher Education, Distance Education
Sclater, Niall – Journal of Learning Analytics, 2016
Ethical and legal objections to learning analytics are barriers to development of the field, thus potentially denying students the benefits of predictive analytics and adaptive learning. Jisc, a charitable organization that champions the use of digital technologies in UK education and research, has attempted to address this with the development of…
Descriptors: Data Analysis, Information Policy, Ethics, Standard Setting