Sanna Mäki
Biographic Data
| ID | 4008368 |
|---|---|
| NAME | Sanna Mäki |
| GIVEN NAMES | Sanna |
| FAMILY NAME | Mäki |
| SIGNATURE | MAKI S |
| AFFILIATIONS | University of Turku |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2000 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Generative AI in assessing written responses of geography exams
This article examines the application of Large Language Models (LLM) – GPT-4, Claude, Cohere, and Llama – to assess students’ open-ended responses in Geography exams. The models’ assessment scores were compared to assessment and scores by the original multi-stage human assessment as well as two additional human expert scoring. The case study considers the high-stakes national matriculation exam in Finland. The exam results play a crucial role in …
Finnish University Students’ Views on Climate Change Education and Their Own Ability to Act as Climate Educators
Climate change (CC) has widespread impacts on human and natural systems and thus threatens the future of contemporary youths. Only a few studies on climate change education (CCE) have been published in Finland, and no research has been conducted on upper secondary education. Thus, this study investigated Finnish university students’ views on CCE in upper secondary schools. According to them, the most common goals in CCE are increasing and structu…
Visualization and Communication in Map-Making
Producing good-quality landscape maps of remote areas such as tropical rainforests is difficult because such areas are environmentally complex and not easily accessible. Existing thematic maps commonly appear far more finished than is warranted by the mapping and research effort that lies behind them, and they do not provide the map user the opportunity to properly evaluate the product. Here we examine the production of an experimental map based …
No prominent works on this page.
Visualization and Communication in Map-Making
Producing good-quality landscape maps of remote areas such as tropical rainforests is difficult because such areas are environmentally complex and not easily accessible. Existing thematic maps commonly appear far more finished than is warranted by the mapping and research effort that lies behind them, and they do not provide the map user the opportunity to properly evaluate the product. Here we examine the production of an experimental map based …
Finnish University Students’ Views on Climate Change Education and Their Own Ability to Act as Climate Educators
Climate change (CC) has widespread impacts on human and natural systems and thus threatens the future of contemporary youths. Only a few studies on climate change education (CCE) have been published in Finland, and no research has been conducted on upper secondary education. Thus, this study investigated Finnish university students’ views on CCE in upper secondary schools. According to them, the most common goals in CCE are increasing and structu…
Generative AI in assessing written responses of geography exams
This article examines the application of Large Language Models (LLM) – GPT-4, Claude, Cohere, and Llama – to assess students’ open-ended responses in Geography exams. The models’ assessment scores were compared to assessment and scores by the original multi-stage human assessment as well as two additional human expert scoring. The case study considers the high-stakes national matriculation exam in Finland. The exam results play a crucial role in …
Ecology (2 works) · Higher education (2 works) · Amazon rainforest (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Cartography (1 work) · Climate change (1 work) · Climate Change Communication and Perception (1 work) · Computer Science (1 work) · Conservation, Biodiversity, and Resource Management (1 work) · Data mining (1 work)