Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 3 |
| Since 2017 (last 10 years) | 4 |
| Since 2007 (last 20 years) | 4 |
Descriptor
| Benchmarking | 4 |
| Learning Analytics | 4 |
| Models | 4 |
| Computer Software | 2 |
| Algebra | 1 |
| Algorithms | 1 |
| Antisocial Behavior | 1 |
| Artificial Intelligence | 1 |
| Blended Learning | 1 |
| Comparative Analysis | 1 |
| Computer Assisted Instruction | 1 |
| More ▼ | |
Source
| Education and Information… | 1 |
| Grantee Submission | 1 |
| Interactive Learning… | 1 |
| International Educational… | 1 |
Author
| Cao, Yunbo | 1 |
| Chenglu Li | 1 |
| Irene Benedetto | 1 |
| Jin, Cong | 1 |
| Laura Farinetti | 1 |
| Li, Xihua | 1 |
| Lorenzo Canale | 1 |
| Luca Cagliero | 1 |
| Lv, Jiancheng | 1 |
| Moreno La Quatra | 1 |
| Walter Leite | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 4 |
| Journal Articles | 2 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Irene Benedetto; Moreno La Quatra; Luca Cagliero; Lorenzo Canale; Laura Farinetti – Education and Information Technologies, 2024
Modern educational technology systems allow learners to access large amounts of learning materials such as educational videos, learning notes, and teaching books. Automated summarization techniques simplify the access and exploration of complex data collections by producing synthetic versions of the original content. This paper addresses the…
Descriptors: Learning Analytics, Documentation, Blended Learning, Video Technology
MOOC Student Dropout Prediction Model Based on Learning Behavior Features and Parameter Optimization
Jin, Cong – Interactive Learning Environments, 2023
Since the advent of massive open online courses (MOOC), it has been the focus of educators and learners around the world, however the high dropout rate of MOOC has had a serious negative impact on its popularity and promotion. How to effectively predict students' dropout status in MOOC for early intervention has become a hot topic in MOOC…
Descriptors: MOOCs, Potential Dropouts, Prediction, Models
Zhou, Yuhao; Li, Xihua; Cao, Yunbo; Zhao, Xuemin; Ye, Qing; Lv, Jiancheng – International Educational Data Mining Society, 2021
In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…
Descriptors: Online Courses, Computer Assisted Instruction, Networks, Learning Analytics
Chenglu Li; Wanli Xing; Walter Leite – Grantee Submission, 2022
A discussion forum is a valuable tool to support student learning in online contexts. However, interactions in online discussion forums are sparse, leading to other issues such as low engagement and dropping out. Recent educational studies have examined the affordances of conversational agents (CA) powered by artificial intelligence (AI) to…
Descriptors: Social Responsibility, Computer Mediated Communication, Group Discussion, Artificial Intelligence

Peer reviewed
Direct link
