NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 9 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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)
Peer reviewed Peer reviewed
Direct linkDirect link
Barragán, Sandra; González, Leandro; Calderón, Gloria – Interchange: A Quarterly Review of Education, 2022
A combination of mathematical and statistical modelling techniques may be used to analyse student dropout behaviour. The aim of this study is to combine Survival Analysis and Analytic Hierarchy Process methodologies when identifying students at-risk of dropping out. This combination favours the institutional understanding of dropout as a dynamic…
Descriptors: Undergraduate Students, Gender Differences, Age Differences, Decision Making
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Cohausz, Lea – Journal of Educational Data Mining, 2022
Student success and drop-out predictions have gained increased attention in recent years, connected to the hope that by identifying struggling students, it is possible to intervene and provide early help and design programs based on patterns discovered by the models. Though by now many models exist achieving remarkable accuracy-values, models…
Descriptors: Guidelines, Academic Achievement, Dropouts, Prediction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Harrison, Scott; Villano, Renato; Lynch, Grace; Chen, George – Journal of Learning Analytics, 2021
Early alert systems (EAS) are an important technological tool to help manage and improve student retention. Data spanning 16,091 students over 156 weeks was collected from a regionally based university in Australia to explore various microeconometric approaches that establish links between EAS and student retention outcomes. Controlling for…
Descriptors: Learning Analytics, School Holding Power, Integrated Learning Systems, Microeconomics
Peer reviewed Peer reviewed
Direct linkDirect link
Ruiperez-Valiente, Jose A.; Gaydos, Matthew; Rosenheck, Louisa; Kim, Yoon Jeon; Klopfer, Eric – IEEE Transactions on Learning Technologies, 2020
Learning games have great potential to become an integral part of new classrooms of the future. One of the key reported benefits is the capacity to keep students deeply engaged during their learning process. Therefore, it is necessary to develop models that can measure quantitatively how learners are engaging with learning games to inform game…
Descriptors: Behavior Patterns, Learner Engagement, Learning Analytics, Computer Games
Peer reviewed Peer reviewed
Direct linkDirect link
Israel-Fishelson, Rotem; Hershkovitz, Arnon – Journal of Educational Computing Research, 2020
Persistence has proven to be a great challenge in online learning environments. Gaming and interactivity have been suggested as essential features in reducing dropout and increasing persistence in online learning. Yet in interactive game-based learning environments, persistence in moving forward in the game may come at the expense of investing in…
Descriptors: Game Based Learning, Elementary School Students, Thinking Skills, Persistence
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Tatel, Corey E.; Lyndgaard, Sibley F.; Kanfer, Ruth; Melkers, Julia E. – Journal of Learning Analytics, 2022
As the demand for lifelong learning increases, many working adults have turned to online graduate education in order to update their skillsets and pursue advanced credentials. Simultaneously, the volume of data available to educators and scholars interested in online learning continues to rise. This study seeks to extend learning analytics…
Descriptors: Course Selection (Students), Enrollment Trends, Academic Achievement, Learning Analytics
Peer reviewed Peer reviewed
Direct linkDirect link
Calvo-Morata, Antonio; Rotaru, Dan Cristian; Alonso-Fernandez, Cristina; Freire-Moran, Manuel; Martinez-Ortiz, Ivan; Fernandez-Manjon, Baltasar – IEEE Transactions on Learning Technologies, 2020
Bullying is a serious social problem at schools, very prevalent independently of culture and country, and particularly acute for teenagers. With the irruption of always-on communications technology, the problem, now termed cyberbullying, is no longer restricted to school premises and hours. There are many different approaches to address…
Descriptors: Educational Games, Bullying, Computer Mediated Communication, Learning Analytics
Peter Organisciak; Michele Newman; David Eby; Selcuk Acar; Denis Dumas – Grantee Submission, 2023
Purpose: Most educational assessments tend to be constructed in a close-ended format, which is easier to score consistently and more affordable. However, recent work has leveraged computation text methods from the information sciences to make open-ended measurement more effective and reliable for older students. This study asks whether such text…
Descriptors: Learning Analytics, Child Language, Semantics, Age Differences