International Centre for Researchin Human Development,Tomsk State University
Tomsk,Russia.
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The Role of Mathematical and Trait Anxiety in Mental Fatigue: an EEG Investigation
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Background. Mental fatigue is a state of tiredness, decreased motivation, and increased aversion to performing a task. Mental fatigue is associated with the length of engagement in an activity (time-on-task) and the degree of cognitive e ort required. In addition, mental fatigue can be affected by personality characteristics, such as trait or domain-specific anxiety. ere is a lack of research into associations between mental fatigue and trait anxiety, as well as specific types of anxiety such as math anxiety.
Objective. This study investigates whether the level of mental fatigue manifested in an EEG taken during the performance of a mixed problem-solving task, is associated with math and trait anxiety.
Design. An EEG recording was performed on participants in a resting state with their eyes closed in two runs, both before and after they performed a task. e task consisted of three types of stimuli: arithmetic, algebraic, and lexical.
Results. The results showed that the EEG correlates of fatigue changed be- tween the first and second runs. These changes were not linked with mathematics anxiety. Some significant EEG effects were found for trait anxiety: people with high trait anxiety appeared more aroused and showed less fatigue effects. However, these results did not reach the level of significance after correction for multiple comparisons.
Conclusion. Overall, our results are in line with the motivational control theory, according to which mental fatigue “resets” when a person switches from one task to another. In our study, the experimental paradigm consisted of three types of tasks, a format which might have prevented fatigue. We discuss the implications of the study for further research into the links between anxiety and mental fatigue.
DOI: 10.11621/pir.2018.0406
Keywords: Mathematics anxiety (MA), trait anxiety (TA), EEG, mental fatigue
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Measuring Spatial Ability for Talent Identification, Educational Assessment, and Support: Evidence from Adolescents with High Achievement in Science, Arts, and SportsBudakova, A.V.; Likhanov, M.V.; Toivainen, T.; Zhurbitskiy, A.V.; Sitnikova, M.A.; Bezrukova, E.M.; Kovas, Yu.V.PDF HTML4240
Budakova, A.V., Likhanov, M.V., Toivainen, T., Zhurbitskiy, A.V., Sitnikova, E.O., Bezrukova, E.M., Kovas, Yu. (2021). Measuring Spatial Ability for Talent Identification, Educational Assessment, and Support: Evidence from Adolescents with High Achievement in Science, Arts, and Sports. Psychology in Russia: State of the Art, 14(2), 59-85. DOI: 10.11621/pir.2021.0205
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Background. Spatial ability (SA) is a robust predictor of academic and occupational achievement. The present study investigated the psychometric properties of 10 tests for measuring of SA in a sample of talented schoolchildren.
Objective. Our purpose was to identify the most suitable measurements for SA for the purpose of talent identification, educational assessment, and support.
Design. Our sample consisted of 1479 schoolchildren who had demonstrated high achievement in Science, Arts, or Sports. Several criteria were applied to evaluate the measurements, including an absence of floor and ceiling effects, low redundancy, high reliability, and external validity.
Results. Based on these criteria, we included the following four tests in an Online Short Spatial Ability Battery “OSSAB”: Pattern Assembly; Mechanical Reasoning; Paper Folding; and Shape Rotation. Further analysis found differences in spatial ability across the three groups of gifted adolescents. The Science track showed the highest results in all four tests.
Conclusion. Overall, the study suggested that the Online Short Spatial Ability Battery (OSSAB) can be used for talent identification, educational assessment, and support. The analysis showed a unifactorial structure of spatial abilities. Future research is needed to evaluate the use of this battery with other specific samples and unselected populations.
DOI: 10.11621/pir.2021.0205
Keywords: education/ educational streaming/ factor analysis/ investment of effort/ gifted children/ reliability/ spatial ability
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