Dagmar Mercedes Heeg
Biographic Data
| ID | 8621116 |
|---|---|
| NAME | Dagmar Mercedes Heeg |
| GIVEN NAMES | Dagmar Mercedes |
| FAMILY NAME | Heeg |
| SIGNATURE | HEEG D M |
| AFFILIATIONS | National Centre of Expertise on Science and Society Utrecht the Netherlands |
| ORCID | 0000-0002-0929-109X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Demystifying AI
The education field has generally embraced artificial intelligence (AI) systems for their (undocumented) potential to reduce teacher workload, address inequalities, and enhance learning through personalization. However, issues such as algorithmic bias, monoculturalism, discrimination, use of private data, and access to AI systems raise concerns about exacerbating learning inequalities, especially for minority students. We argue that researchers i…
Fostering Dialogue on AI Ethics and Biases Through an Issue‐Based Traveling Exhibition
Discriminatory algorithms, unauthorized data use, and environmental costs show how artificial intelligence (AI) advancements are tied to larger sociopolitical issues. Through the design and pilot study of AI Dilemmas , an issue‐based traveling exhibition, this qualitative case study explores fostering dialogue on such complex scientific concepts. The findings offer a conceptual design framework to intentionally design for dialogue. Through the pi…
No prominent works on this page.
Demystifying AI
The education field has generally embraced artificial intelligence (AI) systems for their (undocumented) potential to reduce teacher workload, address inequalities, and enhance learning through personalization. However, issues such as algorithmic bias, monoculturalism, discrimination, use of private data, and access to AI systems raise concerns about exacerbating learning inequalities, especially for minority students. We argue that researchers i…
Fostering Dialogue on AI Ethics and Biases Through an Issue‐Based Traveling Exhibition
Discriminatory algorithms, unauthorized data use, and environmental costs show how artificial intelligence (AI) advancements are tied to larger sociopolitical issues. Through the design and pilot study of AI Dilemmas , an issue‐based traveling exhibition, this qualitative case study explores fostering dialogue on such complex scientific concepts. The findings offer a conceptual design framework to intentionally design for dialogue. Through the pi…
AI in Service Interactions (1 work) · Conferences and Exhibitions Management (1 work) · Critical literacy (1 work) · Curriculum (1 work) · Ethics and Social Impacts of AI (1 work) · Exhibition (1 work) · Field (mathematics) (1 work) · Intelligent design (1 work) · Intelligent Tutoring Systems and Adaptive Learning (1 work) · Literacy (1 work)