Tua Nylén
Biographic Data
| ID | 6467144 |
|---|---|
| NAME | Tua Nylén |
| GIVEN NAMES | Tua |
| FAMILY NAME | Nylén |
| SIGNATURE | NYLÉN T |
| AFFILIATIONS | University of Turku |
| ORCID | 0000-0002-1261-7214 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| 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 …
Understanding teachers' perceptions of geomedia
This study examines Finnish geography teachers' (n = 16) perceptions of the significance of geomedia and geomedia teaching. Thematic analysis was applied. The findings reveal teachers' concerns about students' cursory critical geomedia literacy as well as the potential of geomedia to enhance students' management of information overflow. Teachers' perceptions of digital geomedia teaching were diverse. The significance teachers associated with geom…
Self-assessment in student’s learning and developing teaching in geoinformatics – case of Geoportti self-assessment tool
In successful geoinformatics education, students’ active role in the learning process, e.g. through applying self-assessment, show an increasing interest but the evidence of benefits and challenges of self-assessment are sporadic. In this article, we examine the usefulness of an online self-assessment tool developed for geoinformatics education. We gathered data in two Finnish universities on five courses (n = 11–73 students/course) between 2019 …
User-Centred Design of Multidisciplinary Spatial Data Platforms for Human-History Research
The role of open spatial data is growing in human-history research. Spatiality can be utilized to bring together and seamlessly examine data describing multiple aspects of human beings and their environment. Web-based spatial data platforms can create equal opportunities to view and access these data. In this paper, we aim at advancing the development of user-friendly spatial data platforms for multidisciplinary research. We conceptualize the bui…
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User-Centred Design of Multidisciplinary Spatial Data Platforms for Human-History Research
The role of open spatial data is growing in human-history research. Spatiality can be utilized to bring together and seamlessly examine data describing multiple aspects of human beings and their environment. Web-based spatial data platforms can create equal opportunities to view and access these data. In this paper, we aim at advancing the development of user-friendly spatial data platforms for multidisciplinary research. We conceptualize the bui…
Self-assessment in student’s learning and developing teaching in geoinformatics – case of Geoportti self-assessment tool
In successful geoinformatics education, students’ active role in the learning process, e.g. through applying self-assessment, show an increasing interest but the evidence of benefits and challenges of self-assessment are sporadic. In this article, we examine the usefulness of an online self-assessment tool developed for geoinformatics education. We gathered data in two Finnish universities on five courses (n = 11–73 students/course) between 2019 …
Understanding teachers' perceptions of geomedia
This study examines Finnish geography teachers' (n = 16) perceptions of the significance of geomedia and geomedia teaching. Thematic analysis was applied. The findings reveal teachers' concerns about students' cursory critical geomedia literacy as well as the potential of geomedia to enhance students' management of information overflow. Teachers' perceptions of digital geomedia teaching were diverse. The significance teachers associated with geom…
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 …
Geography (2 works) · Mathematics education (2 works) · Pedagogy (2 works) · Psychology (2 works) · Animal and Plant Science Education (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Computer Science (1 work) · Curriculum (1 work) · Data science (1 work) · Data sharing (1 work)