Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Automation | 2 |
Probability | 2 |
Accuracy | 1 |
Assignments | 1 |
Cluster Grouping | 1 |
Coding | 1 |
Computation | 1 |
Computer Assisted Testing | 1 |
Data Analysis | 1 |
Documentation | 1 |
Efficiency | 1 |
More ▼ |
Author
Cai, Zhiqiang | 1 |
Coots, Madison | 1 |
Goodman, Noah | 1 |
Graesser, Art | 1 |
Hu, Xiangen | 1 |
Li, Hiyiang | 1 |
Malik, Ali | 1 |
Mitchell, John | 1 |
Piech, Chris | 1 |
Song, Jinpeng | 1 |
Vasavada, Vrinda | 1 |
More ▼ |
Publication Type
Speeches/Meeting Papers | 2 |
Reports - Descriptive | 1 |
Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Malik, Ali; Wu, Mike; Vasavada, Vrinda; Song, Jinpeng; Coots, Madison; Mitchell, John; Goodman, Noah; Piech, Chris – International Educational Data Mining Society, 2021
Access to high-quality education at scale is limited by the difficulty of providing student feedback on open-ended assignments in structured domains like programming, graphics, and short response questions. This problem has proven to be exceptionally difficult: for humans, it requires large amounts of manual work, and for computers, until…
Descriptors: Grading, Accuracy, Computer Assisted Testing, Automation
Cai, Zhiqiang; Li, Hiyiang; Hu, Xiangen; Graesser, Art – Grantee Submission, 2016
This paper provides an alternative way of document representation by treating topic probabilities as a vector representation for words and representing a document as a combination of the word vectors. A comparison on summary data shows that this representation is more effective in document classification. [This paper was published in:…
Descriptors: Probability, Natural Language Processing, Models, Automation