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Self-assessment in student’s learning and developing teaching in geoinformatics – case of Geoportti self-assessment tool

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posted on 2023-09-07, 06:20 authored by Nora Fagerholm, Eliisa Lotsari, Tua Nylén, Niina Käyhkö, Jussi Nikander, Vesa Arki, Risto Kalliola

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 and 2021. We examined 1) how the students’ self-assessed knowledge and understanding in geoinformatics subject topics changed during a course, 2) how the competencies at the end of a course changed between the years in different courses, and 3) what was the perceived usefulness of the self-assessment approach among the students. The results indicate support for the implementation of self-assessment, both as a formative and summative assessment. However, it is crucial to ensure that the students understand the contents of the self-assessment subject topics. To increase students’ motivation to take a self-assessment, it is crucial that the teacher actively highlights how it supports their studying and learning. As the teachers of the examined courses, we discuss the benefits and challenges of the self-assessment approach and the applied tool for the future development of geoinformatics education.

Funding

The work was supported by the Academy of Finland [306537]; Horizon 2020 Framework Programme [2020-1-CZ01-KA226-HE-094425].

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