Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 3 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Data Analysis | 3 |
| Distance Education | 3 |
| Pattern Recognition | 3 |
| Achievement | 2 |
| At Risk Students | 2 |
| College Students | 2 |
| Information Retrieval | 2 |
| Models | 2 |
| Prediction | 2 |
| Student Attrition | 2 |
| Educational Research | 1 |
| More ▼ | |
Source
| Interactive Learning… | 3 |
Author
| Kotsiantis, Sotiris | 2 |
| Panagiotakopoulos, Christos T. | 2 |
| Verykios, Vassilios S. | 2 |
| Cagiltay, Nergiz Ercil | 1 |
| Gkontzis, Andreas F. | 1 |
| Gontzis, Andreas F. | 1 |
| Gurcan, Fatih | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Descriptive | 2 |
| Information Analyses | 1 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Gurcan, Fatih; Cagiltay, Nergiz Ercil – Interactive Learning Environments, 2023
Today's dynamic distance learning environments offer a flexible, comfortable, and lifelong learning experience, independent of space and time. In this way, it also supports and develops existing traditional training programs. The increasing importance of knowledge, skills and learning in today's technological life cycle has led to an increase and…
Descriptors: Educational Research, Trend Analysis, Distance Education, Data Analysis
Gontzis, Andreas F.; Kotsiantis, Sotiris; Panagiotakopoulos, Christos T.; Verykios, Vassilios S. – Interactive Learning Environments, 2022
Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze and predict students' failure,…
Descriptors: Student Attrition, Distance Education, At Risk Students, Achievement
Gkontzis, Andreas F.; Kotsiantis, Sotiris; Panagiotakopoulos, Christos T.; Verykios, Vassilios S. – Interactive Learning Environments, 2022
Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze, and predict students' failure,…
Descriptors: Student Attrition, Distance Education, At Risk Students, Achievement

Peer reviewed
Direct link
