Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 3 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Algorithms | 3 |
| Artificial Intelligence | 3 |
| Ethnicity | 3 |
| Bias | 2 |
| Student Characteristics | 2 |
| Accuracy | 1 |
| At Risk Students | 1 |
| Attendance | 1 |
| Automation | 1 |
| Content Area Writing | 1 |
| Dropout Characteristics | 1 |
| More ▼ | |
Author
| A. Brooks Bowden | 1 |
| Anika Alam | 1 |
| Ashis Kumer Biswas | 1 |
| Erin Smith | 1 |
| Eumie Jhong | 1 |
| Geeta Verma | 1 |
| Justin Barber | 1 |
| Madeline Day Price | 1 |
| Mohammad Arif Ul Alam | 1 |
| R. Alex Smith | 1 |
Publication Type
| Reports - Research | 3 |
| Journal Articles | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Elementary Education | 1 |
| Grade 10 | 1 |
| Grade 6 | 1 |
| Grade 7 | 1 |
| Grade 8 | 1 |
| Grade 9 | 1 |
| High Schools | 1 |
| Intermediate Grades | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
| More ▼ | |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Mohammad Arif Ul Alam; Geeta Verma; Eumie Jhong; Justin Barber; Ashis Kumer Biswas – International Educational Data Mining Society, 2025
The growing demand for microcredentials in education and workforce development necessitates scalable, accurate, and fair assessment systems for both soft and hard skills based on students' lived experience narratives. Existing approaches struggle with the complexities of hierarchical credentialing and the mitigation of algorithmic bias related to…
Descriptors: Microcredentials, Sex, Ethnicity, Artificial Intelligence
Madeline Day Price; Erin Smith; R. Alex Smith – International Journal of Education in Mathematics, Science and Technology, 2024
Storylines exist about the types of learners who participate and excel in mathematics. To understand how AI chatbots participate in such storylines, we examined ChatGPT's feedback to different learners' mathematical writing in an exploratory study. Learners included academic labels, like gifted and special education, and race/ethnicity, like Black…
Descriptors: Mathematics Education, Artificial Intelligence, Story Telling, Student Characteristics
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

Peer reviewed
Direct link
