Nicole Oster
Biographic Data
| ID | 6675411 |
|---|---|
| NAME | Nicole Oster |
| GIVEN NAMES | Nicole |
| FAMILY NAME | Oster |
| SIGNATURE | OSTER N |
| AFFILIATIONS | Arizona State University |
| ORCID | 0009-0009-2196-956X |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 14 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Reimagining learning futures through lenses of speculative fiction, scholarly analysis, and public dialogue
This paper explores an innovative approach to understanding educational futures through the Future Tense Fiction: Learning Futures project. The project paired three science fiction stories exploring technology's role in education with scholarly response essays and public webinars, creating spaces for generative dialogue across creative, academic, and public communities. Using a three-stage analytical approach (descriptive characterization, themat…
Implicit bias in large language models
We provide experimental evidence of implicit racial bias in a large language model (specifically ChatGPT 3.5) in the context of an educational task and discuss implications for the use of these tools in educational contexts. Specifically, we presented ChatGPT with identical student writing passages alongside various descriptions of student demographics, including race, socioeconomic status, and school type. Results indicate that when directly pro…
Between Imperative and Panic
Control vs. Agency
Envisioning student roles in Action-Oriented Pedagogies
Generative AI, Teacher Knowledge and Educational Research
ChatGPT for Teachers
Generative AI, Creativity, Culture, and the Future of Learning
To Thine Own Mind Be True
Artificial Intelligence, Responsible Innovation, and the Future of Humanity with Andrew Maynard
Artificial Intelligence, Responsible Innovation, and the Future of Humanity with Andrew Maynard
Generative AI, Teacher Knowledge and Educational Research
ChatGPT for Teachers
Generative AI, Creativity, Culture, and the Future of Learning
To Thine Own Mind Be True
Implicit bias in large language models
We provide experimental evidence of implicit racial bias in a large language model (specifically ChatGPT 3.5) in the context of an educational task and discuss implications for the use of these tools in educational contexts. Specifically, we presented ChatGPT with identical student writing passages alongside various descriptions of student demographics, including race, socioeconomic status, and school type. Results indicate that when directly pro…
Between Imperative and Panic
Control vs. Agency
Envisioning student roles in Action-Oriented Pedagogies
Reimagining learning futures through lenses of speculative fiction, scholarly analysis, and public dialogue
This paper explores an innovative approach to understanding educational futures through the Future Tense Fiction: Learning Futures project. The project paired three science fiction stories exploring technology's role in education with scholarly response essays and public webinars, creating spaces for generative dialogue across creative, academic, and public communities. Using a three-stage analytical approach (descriptive characterization, themat…
Educational technology (7 works) · Psychology (7 works) · Pedagogy (6 works) · Sociology (6 works) · Computer Science (5 works) · Online Learning and Analytics (4 works) · Artificial Intelligence (3 works) · Ethics and Social Impacts of AI (3 works) · Mathematics education (3 works) · Digital Education and Society (2 works)