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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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DataCite Commons2024-05-29 更新2024-08-18 收录
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https://tandf.figshare.com/articles/dataset/Self-assessment_in_student_s_learning_and_developing_teaching_in_geoinformatics_case_of_Geoportti_self-assessment_tool/24099390/1
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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 (<i>n</i> = 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.
提供机构:
Taylor & Francis
创建时间:
2023-09-07
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