Publication Date
| In 2025 | 1 |
| Since 2024 | 3 |
| Since 2021 (last 5 years) | 3 |
| Since 2016 (last 10 years) | 3 |
| Since 2006 (last 20 years) | 3 |
Descriptor
| Algorithms | 3 |
| Artificial Intelligence | 3 |
| At Risk Students | 3 |
| Attendance | 3 |
| Prediction | 3 |
| Student Characteristics | 3 |
| Accuracy | 2 |
| Academic Achievement | 1 |
| Classification | 1 |
| College Students | 1 |
| Comparative Analysis | 1 |
| More ▼ | |
Author
| A. Brooks Bowden | 1 |
| Anika Alam | 1 |
| Christina Weiland | 1 |
| Dongkun Han | 1 |
| Jialun Pan | 1 |
| Tiffany Wu | 1 |
| Zhanzhan Zhao | 1 |
Publication Type
| Reports - Research | 2 |
| Information Analyses | 1 |
| Journal Articles | 1 |
Education Level
| Elementary Education | 2 |
| Early Childhood Education | 1 |
| Grade 10 | 1 |
| Grade 3 | 1 |
| Grade 6 | 1 |
| Grade 7 | 1 |
| Grade 8 | 1 |
| Grade 9 | 1 |
| High Schools | 1 |
| Higher Education | 1 |
| Intermediate Grades | 1 |
| More ▼ | |
Audience
Location
| Hong Kong | 1 |
| Massachusetts (Boston) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkJialun Pan; Zhanzhan Zhao; Dongkun Han – IEEE Transactions on Learning Technologies, 2025
Properly predicting students' academic performance is crucial for elevating educational outcomes in various disciplines. Through precise performance prediction, schools can quickly pinpoint students facing challenges and provide customized educational materials suited to their specific learning needs. The reliance on teachers' experience to…
Descriptors: Prediction, Academic Achievement, At Risk Students, Artificial Intelligence
Tiffany Wu; Christina Weiland – Society for Research on Educational Effectiveness, 2024
Background/Context: Chronic absenteeism is a serious problem that has been linked to lower academic achievement, diminished socioemotional skills, and an increased likelihood of high school dropout (Allensworth et al., 2021; Gottfried, 2014). As a result, many schools have begun to embrace early warning systems (EWS) as a tool to identify and flag…
Descriptors: Attendance, Early Childhood Education, Intervention, Artificial Intelligence
Anika Alam; A. Brooks Bowden – Society for Research on Educational Effectiveness, 2024
Background: The importance of high school completion for jobs and postsecondary opportunities is well- documented. Combined with federal laws where high school graduation rate is a core performance indicator, school systems and states face pressure to actively monitor and assess high school completion. This proposal employs machine learning…
Descriptors: Dropout Characteristics, Prediction, Artificial Intelligence, At Risk Students
