Publication Date
| In 2025 | 0 |
| Since 2024 | 3 |
| Since 2021 (last 5 years) | 5 |
| Since 2016 (last 10 years) | 6 |
| Since 2006 (last 20 years) | 6 |
Descriptor
| Intervention | 6 |
| Learning Analytics | 6 |
| Teaching Methods | 4 |
| Academic Achievement | 3 |
| Bayesian Statistics | 2 |
| Learning Motivation | 2 |
| Prediction | 2 |
| Student Behavior | 2 |
| Accuracy | 1 |
| Algorithms | 1 |
| At Risk Students | 1 |
| More ▼ | |
Source
| Interactive Learning… | 6 |
Author
| Chen, Guanhua | 1 |
| Cheuk Yu Yeung | 1 |
| Hwang, Gwo-Jen | 1 |
| Jia Hao | 1 |
| Jianhou Gan | 1 |
| Kam Hong Shum | 1 |
| Lanqin Zheng | 1 |
| Lei Gao | 1 |
| Li, Shan | 1 |
| Luyu Zhu | 1 |
| Miao, Jia-jia | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 6 |
| Reports - Research | 5 |
| Information Analyses | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
| Elementary Education | 2 |
| Early Childhood Education | 1 |
| Elementary Secondary Education | 1 |
| Grade 5 | 1 |
| Intermediate Grades | 1 |
| Kindergarten | 1 |
| Middle Schools | 1 |
| Primary Education | 1 |
Audience
Location
| China | 1 |
| Massachusetts (Boston) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkMuhittin Sahin – Interactive Learning Environments, 2024
Learning analytics aims to improve learning and teaching in digital learning environments by optimizing them. Real-time feedback, suggestions, directions, and interventions are structured in the digital learning environments. In order to structure more effective interventions, it is crucial to ascertain which of these services offered to students…
Descriptors: Learning Analytics, Intervention, Student Attitudes, Preferences
MOOC Performance Prediction and Analysis via Bayesian Network and Maslow's Hierarchical Needs Theory
Luyu Zhu; Jia Hao; Jianhou Gan – Interactive Learning Environments, 2024
Nowadays, Massive Open Online Courses (MOOC) has been gradually accepted by the public as a new type of education and teaching method. However, due to the lack of timely intervention and guidance from educators, learners' performance is not as effective as it could be. To address this problem, predicting MOOC learners' performance and providing…
Descriptors: MOOCs, Academic Achievement, Prediction, Bayesian Statistics
Lanqin Zheng; Yunchao Fan; Lei Gao; Zichen Huang – Interactive Learning Environments, 2024
Learning analytics has received increasing attention in the field of education. However, few studies have investigated the overall impact of learning analytics interventions on learning achievements. This study aims to close this research gap and examine the sizes of the overall effects of learning analytics interventions on learning achievements…
Descriptors: Learning Analytics, Meta Analysis, Intervention, Academic Achievement
Xing, Wanli; Pei, Bo; Li, Shan; Chen, Guanhua; Xie, Charles – Interactive Learning Environments, 2023
Engineering design plays an important role in education. However, due to its open nature and complexity, providing timely support to students has been challenging using the traditional assessment methods. This study takes an initial step to employ learning analytics to build performance prediction models to help struggling students. It allows…
Descriptors: Learning Analytics, Engineering Education, Prediction, Design
Kam Hong Shum; Samuel Kai Wah Chu; Cheuk Yu Yeung – Interactive Learning Environments, 2023
This study examines the use of data analytics to evaluate students' behaviours during their participation in an online collaborative learning environment called SkyApp. To visualise the learning traits of engagement, emotion and motivation, students' inputs and activity data were captured and quantified for analysis. Experiments were first carried…
Descriptors: Student Behavior, Online Courses, Cooperative Learning, Computer Software
Zhang, Jia-Hua; Zou, Liu-cong; Miao, Jia-jia; Zhang, Ye-Xing; Hwang, Gwo-Jen; Zhu, Yue – Interactive Learning Environments, 2020
Extensive studies have been conducted to diagnose and predict students' academic performance by analyzing a large amount of data related to their learning behaviors in a blended learning environment. But there is a lack of research examining how individualized learning interventions could improve students' academic performance in such a learning…
Descriptors: Individualized Instruction, Academic Achievement, Interaction, Blended Learning
