Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 3 |
| Since 2017 (last 10 years) | 4 |
| Since 2007 (last 20 years) | 4 |
Descriptor
| Electronic Learning | 4 |
| Learning Analytics | 4 |
| Student Characteristics | 4 |
| College Freshmen | 2 |
| Intervention | 2 |
| Learning Processes | 2 |
| Personality Traits | 2 |
| Academic Achievement | 1 |
| Algorithms | 1 |
| Artificial Intelligence | 1 |
| At Risk Students | 1 |
| More ▼ | |
Source
| Education and Information… | 1 |
| Educational Technology &… | 1 |
| Higher Education: The… | 1 |
| Turkish Online Journal of… | 1 |
Author
| Chenglong Wang | 1 |
| Haelermans, Carla | 1 |
| Hellings, Jan | 1 |
| Mingyong Pang | 1 |
| Nguyen, Quan | 1 |
| Rienties, Bart | 1 |
| Tempelaar, Dirk | 1 |
| Yi Zhang | 1 |
| Zhennan Sun | 1 |
Publication Type
| Journal Articles | 4 |
| Reports - Research | 4 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Location
| Netherlands | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Zhennan Sun; Mingyong Pang; Yi Zhang – Education and Information Technologies, 2025
The evolution of individual and global learning preferences is influenced by correlation factors. This study introduces a novel evolutionary modeling approach to observe and analyze factors that affect the evolution of learning preferences. The influencing factors considered in this study are closely interwoven with the underlying personality of…
Descriptors: Learning Analytics, Learning Processes, Preferences, Student Characteristics
Hellings, Jan; Haelermans, Carla – Higher Education: The International Journal of Higher Education Research, 2022
We use a randomised experiment to study the effect of offering half of 556 freshman students a learning analytics dashboard and a weekly email with a link to their dashboard, on student behaviour in the online environment and final exam performance. The dashboard shows their online progress in the learning management systems, their predicted…
Descriptors: Learning Analytics, College Freshmen, Student Behavior, Electronic Learning
Construction and Analysis of a Decision Tree-Based Predictive Model for Learning Intervention Advice
Chenglong Wang – Turkish Online Journal of Educational Technology - TOJET, 2024
The rapid development of education informatization has accumulated a large amount of data for learning analytics, and adopting educational data mining to find new patterns of data, develop new algorithms and models, and apply known predictive models to the teaching system to improve learning is the challenge and vision of the education field in…
Descriptors: Decision Making, Prediction, Models, Intervention
Tempelaar, Dirk; Rienties, Bart; Nguyen, Quan – Educational Technology & Society, 2021
Precision education requires two equally important conditions: accurate predictions of academic performance based on early observations of the learning process and the availability of relevant educational intervention options. The field of learning analytics (LA) has made important contributions to the realisation of the first condition,…
Descriptors: Learning Analytics, Individualized Instruction, Blended Learning, Electronic Learning

Peer reviewed
Direct link
