Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 2 |
Descriptor
Author
| Andrea Horbach | 1 |
| Breyer, F. Jay | 1 |
| Flor, Michael | 1 |
| Fynn Junge | 1 |
| Heilman, Michael | 1 |
| Jens Möller | 1 |
| Johanna Fleckenstein | 1 |
| Julian F. Lohmann | 1 |
| Klieger, David | 1 |
| Ruth Trüb | 1 |
| Stefan Keller | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Julian F. Lohmann; Fynn Junge; Jens Möller; Johanna Fleckenstein; Ruth Trüb; Stefan Keller; Thorben Jansen; Andrea Horbach – International Journal of Artificial Intelligence in Education, 2025
Recent investigations in automated essay scoring research imply that hybrid models, which combine feature engineering and the powerful tools of deep neural networks (DNNs), reach state-of-the-art performance. However, most of these findings are from holistic scoring tasks. In the present study, we use a total of four prompts from two different…
Descriptors: Artificial Intelligence, Natural Language Processing, Essays, Writing Evaluation
Heilman, Michael; Breyer, F. Jay; Williams, Frank; Klieger, David; Flor, Michael – ETS Research Report Series, 2015
Graduate school recommendations are an important part of admissions in higher education, and natural language processing may be able to provide objective and consistent analyses of recommendation texts to complement readings by faculty and admissions staff. However, these sorts of high-stakes, personal recommendations are different from the…
Descriptors: Natural Language Processing, College Admission, Admission Criteria, Referral

Peer reviewed
Direct link
