Publication Date
| In 2026 | 0 |
| Since 2025 | 2 |
| Since 2022 (last 5 years) | 13 |
| Since 2017 (last 10 years) | 14 |
| Since 2007 (last 20 years) | 14 |
Descriptor
| Intervention | 14 |
| Learning Analytics | 14 |
| Learning Management Systems | 14 |
| Foreign Countries | 6 |
| Teaching Methods | 5 |
| Academic Achievement | 4 |
| At Risk Students | 4 |
| Higher Education | 4 |
| Learner Engagement | 4 |
| Educational Technology | 3 |
| Electronic Learning | 3 |
| More ▼ | |
Source
Author
| Alice Brown | 1 |
| Allen Taylor | 1 |
| Alper Tolga Kumtepe | 1 |
| Anutariya, Chutiporn | 1 |
| Aylin Ozturk | 1 |
| Bernacki, Matthew | 1 |
| Bostock, Paul | 1 |
| Cano García, Elena | 1 |
| Gao, Xiaopeng | 1 |
| Garcia, Antero | 1 |
| Garg, Deepak | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 11 |
| Reports - Research | 11 |
| Speeches/Meeting Papers | 4 |
| Information Analyses | 3 |
| Reports - Descriptive | 1 |
Education Level
Audience
Location
| Australia | 1 |
| China | 1 |
| Egypt | 1 |
| New Zealand | 1 |
| Spain (Barcelona) | 1 |
| Turkey | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Zilong Pan; Lauren Biegley; Allen Taylor; Hua Zheng – Journal of Learning Analytics, 2024
The learning management system (LMS) is widely used in educational settings to support teaching and learning practices. The usage log data, generated by both learners and instructors, enables the development and implementation of learning analytics (LA) interventions aimed at facilitating teaching and learning activities. To examine the current…
Descriptors: Learning Analytics, Learning Management Systems, Intervention, Teacher Improvement
Yousri Attia Mohamed Abouelenein; Shaimaa Abdul Salam Selim; Tahani Ibrahim Aldosemani – Smart Learning Environments, 2025
Learning analytics provides valuable data to inform the best decisions for each learner. This study, based on adaptive environment (AE) learning analytics dashboards, examines how instructor interventions affect student self-regulation abilities and academic performance. It identifies the self-regulation categories requiring the most support to…
Descriptors: Foreign Countries, Higher Education, Preservice Teachers, Learning Analytics
Aylin Ozturk; Robin Schmucker; Tom Mitchell; Alper Tolga Kumtepe – International Educational Data Mining Society, 2025
This study investigates the heterogeneity in the effects of a Learning Analytics Dashboard (LAD) intervention, which provides personalized feedback messages, across a diverse population of learners. Specifically, it evaluates the impact of the LAD on learners' total material usage and final grades, considering variables such as age, sex, prior…
Descriptors: Learning Analytics, Learning Management Systems, Feedback (Response), Grades (Scholastic)
Shabnam Ara, S. J.; Tanuja, R.; Manjula, S. H.; Venugopal, K. R. – Journal of Educational Technology Systems, 2023
Learning analytics (LA) is considered a promising field of study as it's helping to improve learning and the context in which it occurs. A learner's performance can be defined as how well students are learning in terms of knowledge and skills development and can be analyzed based on students' outcomes and engagement in the course. We have…
Descriptors: Learning Analytics, Learning Management Systems, Academic Achievement, Prediction
Pangrazio, Luci; Stornaiuolo, Amy; Nichols, T. Philip; Garcia, Antero; Philip, Thomas M. – Harvard Educational Review, 2022
In this contribution to the Platform Studies in Education symposium, Luci Pangrazio, Amy Stornaiuolo, T. Philip Nichols, Antero Garcia, and Thomas M. Philip explore how digital platforms can be used to build knowledge and understanding of datafication processes among teachers and students. The essay responds to the turn toward data-driven teaching…
Descriptors: Teaching Methods, Learning Analytics, Vignettes, Learning Processes
Utamachant, Piriya; Anutariya, Chutiporn; Pongnumkul, Suporn – Smart Learning Environments, 2023
Apart from good instructional design and delivery, effective intervention is another key to strengthen student academic performance. However, intervention has been recognized as a great challenge. Most instructors struggle to identify at-risk students, determine a proper intervention approach, trace and evaluate whether the intervention works.…
Descriptors: Intervention, Learning Analytics, Learning Management Systems, Programming
Tepgeç, Mustafa; Ifenthaler, Dirk – International Association for Development of the Information Society, 2022
Learning analytics includes interventions that will support learning and improve learning environments. Despite the fact that learning analytics is a promising field of study, the lack of empirical evidence on the effects of learning analytics-based interventions has been widely addressed in recent years. In this context, insights validated by…
Descriptors: Learning Analytics, Intervention, Meta Analysis, Learning Management Systems
Mingyu Feng; Natalie Brezack; Megan Schneider; Kelly Collins; Wynnie Chan; Melissa Lee – Grantee Submission, 2024
Many U.S. districts are investing in education technologies to improve student learning. Yet, when technologies with established promise of evidence are deployed at scale, they frequently encounter challenges that compromise their efficacy. MathSpring is a technology-based math learning platform that offers personalized content, remedial tutoring,…
Descriptors: Mathematics Instruction, Teaching Methods, Learning Management Systems, Barriers
Hilpert, Jonathan C.; Greene, Jeffrey A.; Bernacki, Matthew – British Journal of Educational Technology, 2023
Capturing evidence for dynamic changes in self-regulated learning (SRL) behaviours resulting from interventions is challenging for researchers. In the current study, we identified students who were likely to do poorly in a biology course and those who were likely to do well. Then, we randomly assigned a portion of the students predicted to perform…
Descriptors: Learning Theories, Independent Study, Artificial Intelligence, Biology
Gupta, Anika; Garg, Deepak; Kumar, Parteek – IEEE Transactions on Learning Technologies, 2022
With the onset of online education via technology-enhanced learning platforms, large amount of educational data is being generated in the form of logs, clickstreams, performance, etc. These Virtual Learning Environments provide an opportunity to the researchers for the application of educational data mining and learning analytics, for mining the…
Descriptors: Markov Processes, Online Courses, Learning Management Systems, Learning Analytics
Kay, Ellie; Bostock, Paul – Student Success, 2023
Providing timely nudges to students has been shown to improve engagement and persistence in tertiary education. However, many studies focus on small-scale pilots rather than institution-wide initiatives. This article assesses the impact of a pan-institution Early Alert System at the University of Canterbury that utilises nudging when students are…
Descriptors: At Risk Students, Learner Engagement, Undergraduate Students, Handheld Devices
Lluch Molins, Laia; Cano García, Elena – Journal of New Approaches in Educational Research, 2023
One of the main generic competencies in Higher Education is "Learning to Learn". The key component of this competence is the capacity for self-regulated learning (SRL). For this competence to be developed, peer feedback seems useful because it fosters evaluative judgement. Following the principles of peer feedback processes, an online…
Descriptors: Learning Analytics, Learning Management Systems, Peer Evaluation, Higher Education
Jill Lawrence; Alice Brown; Petrea Redmond; Marita Basson – Student Success, 2019
Universities increasingly implement online delivery to strengthen students' access and flexibility. However, they often do so with limited understanding of the impact of online pedagogy on student engagement. To explore these issues, a research project was conducted investigating the use of course-specific learning analytics to 'nudge' students…
Descriptors: Learner Engagement, Learning Analytics, Data Use, Electronic Learning
Wan, Han; Zhong, Zihao; Tang, Lina; Gao, Xiaopeng – IEEE Transactions on Learning Technologies, 2023
Small private online courses (SPOCs) have influenced teaching and learning in China's higher education. Learning management systems (LMSs) are important components in SPOCs. They can collect various data related to student behavior and support pedagogical interventions. This research used feature engineering and nearest neighbor smoothing models…
Descriptors: Online Courses, Learning Management Systems, Higher Education, Student Behavior

Peer reviewed
Direct link
