Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Dropout Rate | 4 |
Potential Dropouts | 4 |
Prediction | 4 |
Algorithms | 2 |
Dropout Characteristics | 2 |
MOOCs | 2 |
Academic Achievement | 1 |
Attendance | 1 |
Benchmarking | 1 |
Dropout Prevention | 1 |
Dropout Research | 1 |
More ▼ |
Publication Type
Reports - Research | 3 |
Journal Articles | 2 |
ERIC Digests in Full Text | 1 |
ERIC Publications | 1 |
Numerical/Quantitative Data | 1 |
Education Level
Audience
Location
New York (New York) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Khoushehgir, Fatemeh; Sulaimany, Sadegh – Education and Information Technologies, 2023
In recent years, the rapid growth of Massive Open Online Courses (MOOCs) has attracted much attention for related research. Besides, one of the main challenges in MOOCs is the high dropout or low completion rate. Early dropout prediction algorithms aim the educational institutes to retain the students for the related course. There are several…
Descriptors: Prediction, Dropout Prevention, MOOCs, Dropout Rate
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
Gaustad, Joan – 1991
An overview of issues and problems in identifying and predicting dropouts is presented in this Digest. The topics discussed are as follows: factors associated with dropping out; defining and calculating dropouts; problems in prediction; the usefulness of current prediction models; and suggestions for improving prediction. The recommendation is…
Descriptors: Dropout Characteristics, Dropout Rate, Dropout Research, Dropouts
Troob, Charles – 1985
A longitudinal analysis of students who entered New York City high schools in 1979 supports the perception that most future dropouts can be identified at the beginning of their high school careers. This study examined the records of more than a quarter of the 1979 entering class at New York City high schools. Analyses were performed on attendance,…
Descriptors: Academic Achievement, Attendance, Dropout Characteristics, Dropout Rate