Year: 2024
Type: article
Study design: Observational Study
Abstract: In our research, we investigated how we can categorise the errors made by first-year university students in logarithmic tasks. We conducted a survey among first-year engineering students of computer science and logistics engineering at Neumann János University. A short self-made test was used for the research. Logarithmic errors were categorized into classes based on a two-dimensional categorization, the type of error and its possible source. We found that the two-dimensional categorization was able to classify most of the typical logarithmic errors listed in the literature, as well as new errors. As a result of our investigation, it became clear that it is not possible to categorise the types of occurring errors without identifying the underlying sources of these errors. As a general suggestion for similar studies, it is worthwhile to use multidimensional categorization, where one aspect tries to reveal the underlying source or problem solving strategy in addition to the visible error type.
Source: PedActa
Authors: Klára Kelecsényi, Éva Osztényiné Krauczi
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4408339981