Mindsets and neural mechanisms of automatic reactions to negative feedback in mathematics in elementary school students

Neuroscientific research regarding mindsets is so far scarce, especially among children. Moreover, even though research indicates the importance of domain-specificity of mindsets, this has not yet been investigated in neuroscientific studies regarding implicit beliefs. The purpose of this study was to examine general intelligence and math ability mindsets and their relations to automatic reactions to negative feedback in mathematics in the Finnish elementary school context. For this, event-related potentials of 97 elementary school students were measured during the completion of an age-appropriate math task, where the participants received performance-relevant feedback throughout the task. Higher growth mindset was marginally associated with a larger P300 response and significantly associated with a smaller later peaking negative-going waveform. Moreover, with the domain-specific experimental setting we found a higher growth mindset regarding math ability, but not general intelligence, to be associated with these brain responses elicited by negative feedback regarding errors in math. This suggests that it might be important to address domain-specific and even academic-domain-specific beliefs in addition to general mindsets in research and practice.Peer reviewe

Do Hardworking Role Models Lower Implicit Gender-Science Bias?

Prior research has demonstrated that implicit gender-science biases discourage women from pursuing careers in science, technology, engineering, and math (STEM). Gender-science biases promote the belief that women cannot be successful in STEM, which can affect women\u27s sense of belonging and commitment to STEM. While women scientists serving as role models benefit women in STEM by decreasing implicit gender-science biases and increasing perceived belonging and performance in STEM, the influence of role model qualities on implicit bias has not been widely explored. The current study examined the influence role model qualities (hardworking, gifted) have on implicit gender-science bias. The research also explored whether individual differences, such as women’s perception of their possible science selves and implicit intelligence theories, moderate the relationship between role model qualities and STEM outcomes (e.g., bias and self-perceptions). Participants (N = 41) completed an online questionnaire, which assessed the individual differences of science possible selves and implicit intelligence theories as moderators and completed a measure of implicit gender-science bias. In the lab, participants watched a documentary-style video featuring a hardworking (or gifted) woman scientist role model. Participants then completed the measure of implicit gender-science bias while their electrophysiological indices of implicit bias (N400, N200) were assessed. Results indicated that role model qualities (hardworking, gifted) do not influence implicit gender-science bias, and that science possible selves and implicit intelligence theories do not moderate this relationship. These results do not support prior research but can aid in the development of more effective role model manipulations in lab settings

Achievement Goal Task Framing and Fit With Personal Goals Modulate the Neurocognitive Response to Corrective Feedback

Past studies have demonstrated the educational impact of achievement goals, but have not yet captured their effects at a critical learning moment—students’ response to negative feedback and their subsequent engagement with error remediation opportunities. We used event-related potentials to investigate how neural substrates of feedback processing were influenced by a within subjects manipulation of mastery and performance goals. Task goal framing did not affect event-related potentials to performance feedback, but did modulate neural activity predicting successful learning. Under a mastery frame, successful learning modulated fronto-temporal activity linked with semantic processing; under a performance frame, it modulated parieto-occipital activity linked with perceptual processing. A match (“fit”) between task and personal goals intensified these neural differences under both goal frames, but mastery goals were additionally sensitive to goal presentation order. Mastery goals may motivate better learning strategies, but are more vulnerable to modulation by students’ own goal dispositions and prior experiences

An EEG-based neural decoding approach for investigating statistical learning between modalities

We researched cross-modal statistical learning conducting to experiments: a behavioural one and a neuroimaging one. In the analysis of the later we used neural decoding with temporal generalization

Psychophysiological indices of recognition memory

It has recently been found that during recognition memory tests participants’ pupils dilate more when they view old items compared to novel items. This thesis sought to replicate this novel ‘‘Pupil Old/New Effect’’ (PONE) and to determine its relationship to implicit and explicit mnemonic processes, the veracity of participants’ responses, and the analogous Event-Related Potential (ERP) old/new effect. Across 9 experiments, pupil-size was measured with a video-based eye-tracker during a variety of recognition tasks, and, in the case of Experiment 8, with concurrent Electroencephalography (EEG). The main findings of this thesis are that: - the PONE occurs in a standard explicit test of recognition memory but not in “implicit” tests of either perceptual fluency or artificial grammar learning; - the PONE is present even when participants are asked to give false behavioural answers in a malingering task, or are asked not to respond at all; - the PONE is present when attention is divided both at learning and during recognition; - the PONE is accompanied by a posterior ERP old/new effect; - the PONE does not occur when participants are asked to read previously encountered words without making a recognition decision; - the PONE does not occur if participants preload an “old/new” response; - the PONE is not enhanced by repetition during learning. These findings are discussed in the context of current models of recognition memory and other psychophysiological indices of mnemonic processes. It is argued that together these findings suggest that the increase in pupil-size which occurs when participants encounter previously studied items is not under conscious control and may reflect primarily recollective processes associated with recognition memory

Impairments in Attention in Occasionally Snoring Children: An Event-Related Potential Study

Objective—To determine whether minimal snoring is benign in children. Procedure—22 rarely snoring children (mean age=6.9 years, 11 females) and age- and sexmatched controls participated in an auditory oddball task wearing 128-electrode nets. Parents completed Conner’s Parent Rating Scales-Revised Long (CPRS-R:L). Results—Snorers scored significantly higher on 4 CPRS-R:L subscales. Stepwise regression indicated that two ERP variables from a region of the ERP that peaked at 844 ms post-stimulus onset predicted CPRS-R:L ADHD Index scores. Conclusions—Occasional snorers according to parental report do exhibit ADHD-like behaviors. Basic sensory processing is longer than in controls, suggesting that delayed frontal activation requires more effort in snorers

Auditory language comprehension in children with developmental dyslexia: Evidence from event-related brain potentials

In the present study, event-related brain potentials (ERPs) were used to compare auditory sentence comprehension in 16 children with developmental dyslexia (age 9-12 years) and unimpaired controls matched on age, sex, and nonverbal intelligence. Passive sentences were presented, which were either correct or contained a syntactic violation (phrase structure) or a semantic violation (selectional restriction). In an overall sentence correctness judgment task, both control and dyslexic children performed well. In the ERPs, control children and dyslexic children demonstrated a similar N400 component for the semantic violation. For the syntactic violation, control children demonstrated a combined pattern, consisting of an early starting bilaterally distributed anterior negativity and a late centro-parietal positivity (P600). Dyslexic children showed a different pattern that is characterized by a delayed left lateralized anterior negativity, followed by a P600. These data indicate that dyslexic children do not differ from unimpaired controls with respect to semantic integration processes (N400) or controlled processes of syntactic reanalyses (P600) during auditory sentence comprehension. However, early and presumably highly automatic processes of phrase structure building reflected in the anterior negativity are delayed in dyslexic children. Moreover, the differences in hemispheric distribution of the syntactic negativity indicate different underlying processes in dyslexic children and controls. The bilateral distribution in controls suggests an involvement of right hemispherically established prosodic processes in addition to the left hemispherically localized syntactic processes, supporting the view that prosodic information may be used to facilitate syntactic processing during normal comprehension. The left hemispheric distribution observed for dyslexic children, in contrast, suggests that these children do not rely on information about the prosodic contour during auditory sentence comprehension as much as controls do. This finding points toward a phonological impairment in dyslexic children that might hamper the development of syntactic processes

Number Processing in Infants and Children Born Very Preterm

Individuals born very preterm (<32 weeks; VP) have notably poorer attainment in mathematics than their term-born peers. Only a handful of studies have investigated basic numerical skills in VP children and the underlying mechanisms associated with problems with mathematics in this population are still not fully comprehended. Basic processes underlying numerical cognition can go awry very early in development and there is a lack of knowledge of early trajectories of acquisition of numerical skills in infants born prematurely. This thesis reports on a series of studies investigating number processing in very preterm infants and children. These make use of a combination of tools, such as neurodevelopmental assessments, eye-tracking, event-related-potentials, neuropsychological evaluations and experimental tasks. Specifically, cross-sectional studies investigated numerical sensitivity in VP infants aged six and twelve months. Behavioural and electrophysiological measures assessing a range of domain-general and domain-specific skills associated with mathematics performance were also investigated in VP school-aged children. The results showed that, during the first year of post-natal life, VP infants do not exhibit differential developmental trajectories in the basic ability to discriminate numerosities compared to infants born at full term, although they required a longer time to discriminate the new number of elements. Later in development, school-aged VP children demonstrated difficulties in processing basic numerical information. Electrophysiological data demonstrated that this might be associated with deficits in sensory and attention resources and not necessarily in how VP children encode number-related information. Difficulties in processing numerical information, however, have only a marginal impact on their performance in mathematics. We tentatively conclude that difficulties in mathematics in individuals born very prematurely are largely associated with domain-general skills

Group Augmentation in Realistic Visual-Search Decisions via a Hybrid Brain-Computer Interface.

Groups have increased sensing and cognition capabilities that typically allow them to make better decisions. However, factors such as communication biases and time constraints can lead to less-than-optimal group decisions. In this study, we use a hybrid Brain-Computer Interface (hBCI) to improve the performance of groups undertaking a realistic visual-search task. Our hBCI extracts neural information from EEG signals and combines it with response times to build an estimate of the decision confidence. This is used to weigh individual responses, resulting in improved group decisions. We compare the performance of hBCI-assisted groups with the performance of non-BCI groups using standard majority voting, and non-BCI groups using weighted voting based on reported decision confidence. We also investigate the impact on group performance of a computer-mediated form of communication between members. Results across three experiments suggest that the hBCI provides significant advantages over non-BCI decision methods in all cases. We also found that our form of communication increases individual error rates by almost 50% compared to non-communicating observers, which also results in worse group performance. Communication also makes reported confidence uncorrelated with the decision correctness, thereby nullifying its value in weighing votes. In summary, best decisions are achieved by hBCI-assisted, non-communicating groups