Publication Date
In 2025 | 1 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Artificial Intelligence | 2 |
Natural Language Processing | 2 |
Prompting | 2 |
Benchmarking | 1 |
Computation | 1 |
Cooperative Learning | 1 |
Criterion Referenced Tests | 1 |
Cues | 1 |
Design | 1 |
Discovery Learning | 1 |
Doctoral Students | 1 |
More ▼ |
Source
npj Science of Learning | 2 |
Author
Alexis Hoh Sheng Jia | 1 |
Benjamin Ultan Cowley | 1 |
Da-Wei Zhang | 1 |
Guang Rong | 1 |
Kin Nok Nicholas Fung | 1 |
Melissa Boey | 1 |
Pablo Flores Romero | 1 |
Yan Yu Tan | 1 |
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
Da-Wei Zhang; Melissa Boey; Yan Yu Tan; Alexis Hoh Sheng Jia – npj Science of Learning, 2024
This study evaluates the ability of large language models (LLMs) to deliver criterion-based grading and examines the impact of prompt engineering with detailed criteria on grading. Using well-established human benchmarks and quantitative analyses, we found that even free LLMs achieve criterion-based grading with a detailed understanding of the…
Descriptors: Artificial Intelligence, Natural Language Processing, Criterion Referenced Tests, Grading
Pablo Flores Romero; Kin Nok Nicholas Fung; Guang Rong; Benjamin Ultan Cowley – npj Science of Learning, 2025
Large Language Models (LLMs) present a radically new paradigm for the study of "information foraging behavior." We study how LLM technology is used for pedagogical content creation by a sample of 25 participants in a doctoral-level Artificial Intelligence (AI) in Education course, and the role of computational-thinking skills in shaping…
Descriptors: Man Machine Systems, Artificial Intelligence, Natural Language Processing, Interaction