Background: Virtual simulation is the recreation of reality depicted on a computer screen. It offers the possibility to exercise motor and psychomotor skills. In biomedical and medical education, there is an attempt to find new ways to support students' learning in neurophysiology. Traditionally, recording electroencephalography (EEG) has been learned through practical hands-on exercises. To date, virtual simulations of EEG measurements have not been used. Objective: This study aimed to examine the development of students' theoretical knowledge and practical skills in the EEG measurement when using a virtual EEG simulator in biomedical laboratory science in the context of a neurophysiology course. Methods: A computer-based EEG simulator was created. The simulator allowed virtual electrode placement and EEG graph interpretation. The usefulness of the simulator for learning EEG measurement was tested with 35 participants randomly divided into three equal groups. Group 1 (experimental group 1) used the simulator with fuzzy feedback, group 2 (experimental group 2) used the simulator with exact feedback, and group 3 (control group) did not use a simulator. The study comprised pre-and posttests on theoretical knowledge and practical hands-on evaluation of EEG electrode placement. Results: The Wilcoxon signed-rank test indicated that the two groups that utilized a computer-based electrode placement simulator showed significant improvement in both theoretical knowledge (Z=1.79, P=.074) and observed practical skills compared with the group that studied without a simulator. Conclusions: Learning electrode placement using a simulator enhances students' ability to place electrodes and, in combination with practical hands-on training, increases their understanding of EEG measurement.
Transparency and trustworthiness are among the key requirements for the ethical use of learning analytics (LA) and artificial intelligence (AI) in the context of social inclusion and equity. However, research on these issues pertaining to users is lacking, leaving it unclear as to how transparent and trustworthy current LA tools are for their users and how perceptions of these variables relate to user behaviour. In this study, we investigate user experiences of an LA tool in the context of career guidance, which plays a crucial role in supporting nonlinear career pathways for individuals. We review the ethical challenges of big data, AI, and LA in connection to career guidance and analyze the user experiences (N = 106) of the LA career guidance tool, which recommends study programs and institutions to users. Results indicate that the LA career guidance tool was evaluated as trustworthy but not transparent. Accuracy was found to be a stronger predictor for the intention to follow on the recommendations of the LA guidance tool than was understanding the origins of the recommendation. The user’s age emerged as an important factor in their assessment of transparency. We discuss the implications of these findings and suggest emphasizing accuracy in the development of LA tools for career guidance.
BACKGROUND Virtual simulation is the recreation of reality depicted on a computer screen. It offers the possibility to exercise motoric and psychomotor skills. In biomedical and medical education there is an attempt to find new ways to support students’ learning in neurophysiology. Traditionally, recording EEG (electroencephalography) has been trained through practical hands-on exercises. So far, virtual simulations in the EEG measurement have not been used. OBJECTIVE This study aimed to examine the development of students’ theoretical knowledge and practical skills in the EEG measurement when using a virtual EEG simulator in biomedical laboratory science in the context of a neurophysiology course. METHODS A computer-based EEG simulator was created. The simulator allows virtual electrode placement and EEG graph interpretation. The usefulness of the simulator on learning EEG measurement was tested with 35 participants divided into three groups. Experimental group 1 used a simulator with fuzzy feedback, experimental group 2 used a simulator with exact feedback and the control group did not use a simulator. The study comprised pre- and post-tests on theoretical knowledge and practical hands-on evaluation of EEG electrode placement. RESULTS The Wilcoxon signed-rank test indicates that two groups who utilized a computer-based electrode placement simulator showed significant improvement both in theoretical knowledge and practical skills compared to the group which studied without a simulator. CONCLUSIONS Training electrode placement using a simulator enhances student’s ability to place electrodes and increases understanding of EEG measurement together with practical hands-on training.
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