Selin Akgun
Biographic Data
| ID | 9512364 |
|---|---|
| NAME | Selin Akgun |
| GIVEN NAMES | Selin |
| FAMILY NAME | Akgun |
| SIGNATURE | AKGÜN S |
| AFFILIATIONS | Michigan State University |
| ORCID | 0000-0002-6672-498X |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
The impact of generative artificial intelligence on socioeconomic inequalities and policy making
Generative artificial intelligence (AI) has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of the potential impacts of generative AI on (mis)information and three information-intensive domains: work, education, and healthcare. Our goal is to highlight how generative AI could worsen existing inequalities while illuminating how AI may hel…
Artificial intelligence in education
Artificial intelligence (AI) is a field of study that combines the applications of machine learning, algorithm productions, and natural language processing. Applications of AI transform the tools of education. AI has a variety of educational applications, such as personalized learning platforms to promote students' learning, automated assessment systems to aid teachers, and facial recognition systems to generate insights about learners' behaviors…
Including teachers in the social justice equation of project‐based learning
In the article, “The role of phenomena and problems in science and STEM education,” Lee and Grapin (2022) argue that the future of project-based learning presents social justice problems as driving questions. For example, a PBL driving question in teacher materials might be related to how social justice can be used to understand COVID-19 or climate change. We agree with Lee & Grapin but expand their framing. Through supporting teacher-driven adap…
How Do University Students Perceive the Nature of Science
Reconceptualised family resemblance approach to nature of science in pre-service science teacher education
A recent framework on nature of science (NOS) is the Family Resemblance Approach (FRA). FRA presents NOS as a cognitive-epistemic and social-institutional system with a set of categories: aims and values, scientific methods, scientific practices, scientific knowledge and social-institutional aspects of science. Although FRA has been problematised philosophically and its implications for science education have been considered by science educators,…
No prominent works on this page.
Reconceptualised family resemblance approach to nature of science in pre-service science teacher education
A recent framework on nature of science (NOS) is the Family Resemblance Approach (FRA). FRA presents NOS as a cognitive-epistemic and social-institutional system with a set of categories: aims and values, scientific methods, scientific practices, scientific knowledge and social-institutional aspects of science. Although FRA has been problematised philosophically and its implications for science education have been considered by science educators,…
How Do University Students Perceive the Nature of Science
Artificial intelligence in education
Artificial intelligence (AI) is a field of study that combines the applications of machine learning, algorithm productions, and natural language processing. Applications of AI transform the tools of education. AI has a variety of educational applications, such as personalized learning platforms to promote students' learning, automated assessment systems to aid teachers, and facial recognition systems to generate insights about learners' behaviors…
Including teachers in the social justice equation of project‐based learning
In the article, “The role of phenomena and problems in science and STEM education,” Lee and Grapin (2022) argue that the future of project-based learning presents social justice problems as driving questions. For example, a PBL driving question in teacher materials might be related to how social justice can be used to understand COVID-19 or climate change. We agree with Lee & Grapin but expand their framing. Through supporting teacher-driven adap…
The impact of generative artificial intelligence on socioeconomic inequalities and policy making
Generative artificial intelligence (AI) has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of the potential impacts of generative AI on (mis)information and three information-intensive domains: work, education, and healthcare. Our goal is to highlight how generative AI could worsen existing inequalities while illuminating how AI may hel…
Sociology (4 works) · Mathematics education (3 works) · Pedagogy (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Education and Critical Thinking Development (2 works) · Educational Strategies and Epistemologies (2 works) · Ethics and Social Impacts of AI (2 works) · Mathematics (2 works)