Ateneo General de la Residencia de Psicopedagogía: ¡Estamos en problemas! Revisitando las matemáticas desde la clínica psicopedagógica / General Athenaeum of the Psychopedagogical Residence: We are in problems!: Revisiting mathematics from the clinic psychopedagogical

Ateneo donde en una primera parte se reflexiona sobre la valoración social de las matemáticas y de dónde surge. Luego se realiza un recorrido para pensar las matemáticas como un lenguaje a ser aprendido; cómo los niños y las niñas construyen este objeto de conocimiento y qué operaciones del pensamiento permiten esta construcción; y cómo se enseña en la escuela. Se continúa con los problemas matemáticos y sus estructuras y finalmente se reflexiona acerca de la clínica psicopedagógica a partir de casos clínicos y desafíos matemáticos.

Mathematics teachers' reflective thinking: Level of understanding and implementation in their professional practices.

Mathematics teachers must be able to engage in self-reflection and think constructively about their professional activities to instruct students effectively. This is also important for students' ability to solve problems in class, as well as the challenges facing them and their societies in the future. This study aimed to examine in-service math teachers' reflective thinking skills in the context of how they are applied to their understanding of their teaching practices. The sample included 322 mathematics teachers, who responded to a questionnaire designed to elucidate how they were thinking reflectively about their teaching practice. The findings revealed that the teachers' practices concerning all the themes of reflective thinking addressed by the questionnaire, especially their ability to self-assess, fluctuated around the intermediate, and advanced levels. The implications of our findings are discussed in terms of extensive and continuous professional development centered on supporting ongoing growth in the reflective thinking skills of in-service math teachers.

We need to address ableism in science.

In science, technology, engineering, and mathematics (STEM) fields, disabled people remain a significantly underrepresented part of the workforce. Recent data suggests that about 20% of undergraduates in the United States have disabilities, but representation in STEM fields is consistently lower than in the general population. Of those earning STEM degrees, only about 10% of undergraduates, 6% of graduate students, and 2% of doctoral students identify as disabled. This suggests that STEM fields have difficulty recruiting and retaining disabled students, which ultimately hurts the field, because disabled scientists bring unique problem-solving perspectives and input. This essay briefly explores the ways in which ableism-prejudice against disabled people based on the assumption that they are "less than" their nondisabled peers-in research contributes to the exclusion of disabled scientists and suggests ways in which the scientific community can improve accessibility and promote the inclusion of disabled scientists in academic science.

Investigating Bidirectional Links Between the Quality of Teacher-Child Relationships and Children's Interest and Pre-Academic Skills in Literacy and Math.

This study investigated bidirectional links between the quality of teacher-child relationships and children's interest and pre-academic skills in literacy and math. Furthermore, differences in the patterns of bidirectionality between boys and girls were explored. Participants were 461 Finnish kindergarteners (6-year-olds) and their teachers (n = 48). Teachers reported their closeness and conflict with each child twice throughout the kindergarten year. Children rated their interest in literacy and math, and were tested on their pre-academic skills. Cross-lagged path models indicated that teacher-perceived conflict predicted lower interest and pre-academic skills in both literacy and math. Results were similar for boys and girls. Implications for reducing conflictual patterns of relationships, together with promoting other factors, are discussed.

Developing an Interactive Environment Through the Teaching of Mathematics with Small Robots.

The article is the product of the study "Development of innovative resources to improve logical-mathematical skills in primary school, through educational robotics", developed during the 2019 school year in three public schools in the province of Chiriquí, Republic of Panama. The teaching-learning process in students is influenced by aspects inside and outside the classroom, since not all schools have the necessary resources to deliver content or teaching material. The general objective of the project is to design, develop and implement educational robotics to improve logical-mathematical skills aimed at preschool and first grade students in public schools, using programmable educational robots. For this, a set of resources and activities were developed to improve the logical-mathematical skills of the initial stages, in public schools, obtaining significant results. Playful activities favor the teaching-learning process. Considering the analysis of the results made on the data obtained through the applied collection instruments, it can be argued that in general terms the values indicate that the students obtained a favorable level of performance in the different challenges proposed. The project has allowed the academic community to have an application of great value that allows teaching about the conservation of natural sites. The project only covers the area of mathematics in preschool and first grade.

Math versus meaning in MAIHDA: A commentary on multilevel statistical models for quantitative intersectionality.

RATIONALE: Intersectionality has been increasingly adopted as a theoretical framework within quantitative research, raising questions about the congruence between theory and statistical methodology. Which methods best map onto intersectionality theory, with regard to their assumptions and the results they produce? Which methods are best positioned to provide information on health inequalities and direction for their remediation? One method, multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA), has been argued to provide statistical efficiency for high-dimensional intersectional analysis along with valid intersection-specific predictions and tests of interactions. However, the method has not been thoroughly tested in scenarios where ground truth is known. METHOD: We perform a simulation analysis using plausible data generating scenarios where intersectional effects are present. We apply variants of MAIHDA and ordinary least squares regression to each, and we observe how the effects are reflected in the estimates that the methods produce. RESULTS: The first-order fixed effects estimated by MAIHDA can be interpreted neither as effects on mean outcome when interacting variables are set to zero (as in a correctly-specified linear regression model), nor as effects on mean outcome averaged over the individuals in the population (as in a misspecified linear regression model), but rather as effects on mean outcome averaged over an artificial population where all intersections are of equal size. Furthermore, the values of the random effects do not reflect advantage or disadvantage of different intersectional groups. CONCLUSIONS: Because first-order fixed effects estimates are the reference point for interpreting random effects as intersectional effects in MAIHDA analyses, the random effects alone do not provide meaningful estimates of intersectional advantage or disadvantage. Rather, the fixed and random parts of the model must be combined for their estimates to be meaningful. We therefore advise caution when interpreting the results of MAIHDA in quantitative intersectional analyses.

Gender in Science, Technology, Engineering, and Mathematics: Issues, Causes, Solutions.

The landscape of gender in education and the workforce has shifted over the past decades: women have made gains in representation, equitable pay, and recognition through awards, grants, and publications. Despite overall change, differences persist in the fields of science, technology, engineering, and mathematics (STEM). This Viewpoints article on gender disparities in STEM offers an overarching perspective by addressing what the issues are, why the issues may emerge, and how the issues may be solved. In Part 1, recent data on gaps in representation, compensation, and recognition (awards, grants, publications) are reviewed, highlighting differences across subfields (e.g., computer science vs biology) and across career trajectories (e.g., bachelor's degrees vs senior faculty). In Part 2, evidence on leading explanations for these gaps, including explanations centered on abilities, preferences, and explicit and implicit bias, is presented. Particular attention is paid to implicit bias: mental processes that exist largely outside of conscious awareness and control in both male and female perceivers and female targets themselves. Given its prevalence and persistence, implicit bias warrants a central focus for research and application. Finally, in Part 3, the current knowledge is presented on interventions to change individuals' beliefs and behaviors, as well as organizational culture and practices. The moral issues surrounding equal access aside, understanding and addressing the complex issues surrounding gender in STEM are important because of the possible benefits to STEM and society that will be realized only when full participation of all capable and qualified individuals is guaranteed.

Human cognition and the AI revolution.

Discovering the true nature of reality may ultimately hinge on grasping the nature and essence of human understanding. What are the fundamental elements or building blocks of human cognition? And how will the rise of superintelligent machines challenge our ideas about cognition, reality, and the limits of human understanding? Logician/mathematician Roger Antonsen and computer science pioneer Barbara J. Grosz join forces to shed light on these questions and the horizon of artificial intelligence.

The mystery of our mathematical universe.

Why is it that fundamental laws discovered through pure mathematics have been able to describe the behavior of our physical world with such precision? Given that the physical universe is composed of mathematical properties, some have posited that mathematics is the language of the universe, whose laws reveal what appears to be a hidden order in the natural world. Physicist S. James Gates, Jr. and science writer Margaret Wertheim explore the uncanny ability of mathematics to reveal the laws of nature.

A latent change score analysis of emotion regulation difficulties and evaluative threat in STEM.

We examined implications of evaluative threat on the ability to regulate emotions for first-time college freshmen completing Science, Technology, Engineering, and Math (STEM) majors (N = 432). Students completed the Evaluative Threat in STEM Scale (Ahlqvist, London, & Rosenthal, 2013) and the Difficulties in Emotion Regulation Scale (DERS; Gratz & Roemer, 2004) at six intervals. Cross-sectional and longitudinal measurement invariance was supported. Women reported greater evaluative threat than men, but they did not differ from men in difficulties regulating emotion. Both constructs showed moderate relative stability over time. Using latent change score analyses, significant positive deceleration change patterns indicated that four of the emotion regulation difficulties (Lack of Emotional Awareness, Lack of Emotional Clarity, Impulse Control Difficulties, and Nonacceptance of Emotional Responses) and evaluative threat tended to increase (worsen) over the year, but the increases also slowed (i.e., plateaued) over time. Compared with men, women initially reported higher evaluative threat than men did, but these differences decreased over the year, as women decelerated more quickly than men did. In terms of cross-coupling effects, we found that evaluative threat was associated with subsequent difficulty in identifying strategies to cope with unpleasant emotions. There were no cross-coupling effects for emotion regulation predicting subsequent change in evaluative threat. Gender moderated the Evaluative Threat-to-DERS coupling effects for Lack of Emotional Clarity, Difficulties in Goal-Directed Behavior, and Nonacceptance of Emotional Responses. We discuss implications of evaluative threat for depleting coping resources and some potential psychoeducational and preventive interventions to support students in STEM majors. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Motion sickness as metaphor: engaging with diversity in STEM.

Science, technology, engineering, and math (STEM) continue to work to increase the diversity of the fields, yet there are still significant historical and societal hurdles to be overcome before we reach full representation throughout STEM. The concept of science identity has become a point of interest in this process; it has been suggested that development of one's identity as a scientist is critical to persistence in the field. Metaphors that are rooted in bodily experience can provide a starting point to understand abstract concepts, including science identity and how we as STEM educators respond to increasing diversity within our fields. Given the history of STEM being predominantly populated by people who are white and male, disorientation or discomfort with increasing diversity is not unexpected, and many women and people of color report discrimination and marginalization as a part of their experience in STEM. Here I present a neuroscience-based metaphor that can serve as a starting point for understanding some of the potential disorientation or discomfort that we may experience as we engage with the increasing diversity of STEM and acknowledge this experience as a normal but temporary part of the process of growth and development as a field. I encourage the development and use of further discipline-based metaphors to enhance our discussion and understanding of this important work.

Mathematics ability and related skills in preschoolers born very preterm.

Children born very preterm (VPT) are at risk for academic, behavioral, and/or emotional problems. Mathematics is a particular weakness and better understanding of the relationship between preterm birth and early mathematics ability is needed, particularly as early as possible to aid in early intervention. Preschoolers born VPT (n = 58) and those born full term (FT; n = 29) were administered a large battery of measures within 6 months of beginning kindergarten. A multiple-mediation model was utilized to characterize the difference in skills underlying mathematics ability between groups. Children born VPT performed significantly worse than FT-born children on a measure of mathematics ability as well as full-scale IQ, verbal skills, visual-motor integration, phonological awareness, phonological working memory, motor skills, and executive functioning. Mathematics was significantly correlated with verbal skills, visual-motor integration, phonological processing, and motor skills across both groups. When entered into the mediation model, verbal skills, visual-motor integration, and phonological awareness were significant mediators of the group differences. This analysis provides insights into the pre-academic skills that are weak in preschoolers born VPT and their relationship to mathematics. It is important to identify children who will have difficulties as early as possible, particularly for VPT children who are at higher risk for academic difficulties. Therefore, this model may be used in evaluating VPT children for emerging difficulties as well as an indicator that if other weaknesses are found, an assessment of mathematics should be conducted.

How Cardiac Anesthesiology Can Help "STEM" the Tide of Under-representation of Minorities in Science and Medicine.

The field of medicine is built upon science, technology, engineering, and math (STEM), yet the United States is rapidly falling behind when it comes to educating the next generation in these disciplines, especially under-represented populations. The authors reflect on existing educational literature surrounding efforts to promote interest in STEM among students and under-represented populations. The authors advocate for greater efforts toward the development of youth programing. Cardiac anesthesia is uniquely positioned as a subspecialty to advance the goal of promoting interest in STEM in diverse groups of young students. The authors describe their development and implementation of a community outreach program to enhance interest in medicine through a cardiac dissection experience.

Predictors of science, technology, engineering, and mathematics choice options: A meta-analytic path analysis of the social-cognitive choice model by gender and race/ethnicity.

We tested the interest and choice portion of social-cognitive career theory (SCCT; Lent, Brown, & Hackett, 1994) in the context of science, technology, engineering, and mathematics (STEM) domains. Data from 143 studies (including 196 independent samples) conducted over a 30-year period (1983 through 2013) were subjected to meta-analytic path analyses. The interest/choice model was found to fit the data well over all samples as well as within samples composed primarily of women and men and racial/ethnic minority and majority persons. The model also accounted for large portions of the variance in interests and choice goals within each path analysis. Despite the general predictive utility of SCCT across gender and racial/ethnic groups, we did find that several parameter estimates differed by group. We present both the group similarities and differences and consider their implications for future research, intervention, and theory refinement. (PsycINFO Database Record

Brief Report: Executive Function as a Predictor of Academic Achievement in School-Aged Children with ASD.

The contributions of Executive Function (EF) to academic achievement in children with Autism Spectrum Disorder (ASD) are not well understood. Academic achievement and its association with EF is described in 32, 9-year-old children with ASD. EF at age 6 and 9, and academic achievement at age 9 were assessed as part of a larger longitudinal study. Better performance on a Spatial Reversal task but not A-not-B with Invisible Displacement at age 6 was associated with better math achievement at age 9. No relationship was found between these EF measures at age 6 and reading or spelling achievement at age 9. Future studies are needed to explore whether improving early EF skills can increase math achievement in children with ASD.

Early math and reading achievement are associated with the error positivity.

Executive functioning (EF) and motivation are associated with academic achievement and error-related ERPs. The present study explores whether early academic skills predict variability in the error-related negativity (ERN) and error positivity (Pe). Data from 113 three- to seven-year-old children in a Go/No-Go task revealed that stronger early reading and math skills predicted a larger Pe. Closer examination revealed that this relation was quadratic and significant for children performing at or near grade level, but not significant for above-average achievers. Early academics did not predict the ERN. These findings suggest that the Pe - which reflects individual differences in motivational processes as well as attention - may be associated with early academic achievement.

Neural Plasticity following Abacus Training in Humans: A Review and Future Directions.

The human brain has an enormous capacity to adapt to a broad variety of environmental demands. Previous studies in the field of abacus training have shown that this training can induce specific changes in the brain. However, the neural mechanism underlying these changes remains elusive. Here, we reviewed the behavioral and imaging findings of comparisons between abacus experts and average control subjects and focused on changes in activation patterns and changes in brain structure. Finally, we noted the limitations and the future directions of this field. We concluded that although current studies have provided us with information about the mechanisms of abacus training, more research on abacus training is needed to understand its neural impact.