The changes in adolescents' math motivational beliefs (i.e., expectancies for success, interest, and utility value) across Grades 9-11 and the associations between these changes and adolescents' experiences with socializers (i.e., perceived teacher unfairness and parent-adolescent discussions) were examined within each of the four largest racial/ethnic groups in the United States using the High School Longitudinal Study, a nationally representative data set (n = 19,010; 50% female; 9% Asian; 11% Black; 18% Latine; 62% White; M-age = 14.53 in Grade 9). Cross-tabulation analyses suggested that similar developmental trends emerged within each racial/ethnic group (which were tested separately). Many adolescents maintained their high or low expectancies, interest, and utility values across Grades 9-11. Some patterns varied by belief; for example, several adolescents switched from high to low interest by Grade 11, whereas several adolescents switched from low to high utility value. Parent-adolescent discussions predicted positive changes among Asian and Latine adolescents, whereas perceived teacher unfairness predicted negative changes among Black adolescents. The findings from the present study highlight the diverse developmental trends in adolescents' motivational beliefs and the potential role of socializers as sources of strength or challenge in their motivational belief development.

This study explored 7th-grade students' help-seeking behaviors in a digital mathematics learning game.In particular, we applied response time decomposition to examine the relationships among the amount of time a student spent reading a hint (i.e., hint reading time), hint type, and in-game performance.The results showed significant differences in hint reading time by the following action and hint type.Overall, hint reading time was positively related to problem solving efficiency scores.However, this association varied by hint type.The use of an indirect hint was negatively correlated with efficiency on the problem in which the hint was accessed but positively correlated with efficiency on the next problem.These findings suggest that prompting students to pause and think about the hint presented may support efficient problem solving.Although indirect hints may cause students to struggle through the problem, they show the benefits of that struggle in subsequent performance.

Women remain underrepresented in most math- intensive fields. [Breda and Napp, Proc. Natl. Acad. Sci. U.S.A. 116, 15435 (2019)] reported that girls' comparative advantage in reading over math (i.e., the intraindividual differences between girls' reading vs. math performance, compared to such differences for boys) could explain up to 80% of the gender gap in students' intentions to pursue math- intensive studies and careers, in conflict with findings from previous research. We conducted a conceptual replication and expanded upon Breda and Napp's study by using new global data (PISA2018, N = 466,165) and a recent US nationally representative longitudinal study (High School Longitudinal Study of 2009, N = 6,560). We coded students' intended majors and careers and their actual college majors. The difference between a student's math vs. reading performance explained only small proportions of the gender gap in students' intentions to pursue math- intensive fields (0.4 to 10.2%) and in their enrollment in math- intensive college majors (12.3%). Consistent with previous studies, our findings suggest girls' comparative advantage in reading explains a minority of the gender gap in math- related majors and occupational intentions and choices. Potential reasons for differences in the estimated effect sizes include differences in the operationalization of math- related choices, the operationalization of math and reading performance, and possibly the timing of measuring intentions and choices. Therefore, it seems premature to conclude that girls' comparative advantage in reading, rather than the cumulative effects of other structural and/or psychological factors, can largely explain the persistent gender gap in math- intensive educational and career choices.

Integrating situated expectancy-value and family systems theories, the current study tested the extent to which Latinx adolescents' 9th-grade school-related science conversations with parents and older siblings/cousins positively predicted their 10th-grade science ability self-concepts and task values. We also tested whether these links were moderated by who primarily initiated the conversations (i.e., adolescents, family members, or both). We used two-wave, multi-reporter survey data from 104 Latinx families, consisting of triads of parents, older siblings/cousins, and adolescents (89% Mexican-descent, 40% female; M-age = 14.53 years). Partially supporting our hypotheses, parent-adolescent school-related science conversations predicted adolescents' 10th-grade science ability self-concepts. Moreover, the links between parent-adolescent conversations and science ability self-concepts and task values were positive and significant when parents more frequently initiated conversations than adolescents. Similar but weaker associations were found for sibling/cousin-adolescent school-related science conversations. These findings underscore the motivational benefits of family members initiating school-related science conversations with Latinx adolescents.

Though adults tend to endorse the stereotype that boys are better than girls in math, children tend to favor their own gender or be gender egalitarian. When do individuals start endorsing the traditional stereotype that boys are better? Using two longitudinal U.S. datasets that span 1993 to 2011, we examined three questions: (1) What are the developmental changes in adolescents' gender stereotypes about math abilities from early to late adolescence? (2) Do the developmental changes vary based on gender and race/ethnicity? (3) Are adolescents' stereotypes related to their math motivational beliefs? Finally, (4) do these patterns replicate across two datasets that vary in historical time? Adolescents in grades 8/9 and 11 were asked whether girls or boys are better at math (n's = 1186 and 23,340, 49-53% girls, 30-54% White, 13-60% Black, 1-22% Latinx, and 2% to 4% Asian). Early adolescents were more likely to be gender egalitarian or favor their own gender. By late adolescence, adolescents' stereotypes typically shifted towards the traditional stereotype that boys are better. In terms of race/ethnicity, White and Asian adolescents significantly favored boys, whereas Black and Latinx adolescents were more likely to endorse gender egalitarian beliefs. Adolescents' stereotypes were significantly related to their expectancy beliefs, negatively for girls and positively for boys.

Are motivated students less likely to express negative achievement emotions in math, and how do teachers impact such academic beliefs? Guided by the situated expectancy-value theory and the control-value theory, this study is interested in how teacher support influences students' negative affect in math through students' perception of teacher support and students' interest value (teacher-to-student transmission between and within classes). Thus, associations were modeled at the individual and classroom levels to investigate cross-level interactions. Using data from 1,429 students in grades 7-12 (49% males, 67% Hispanic Americans, 15% Asian Americans, 18% other racial/ethnic groups), cross-level indirect effects suggested an association of teacher-reported support for collaboration and cognitive support with decreasing negative affect through students' perception of teacher support and students' interest value. These associations were supported within but not between classes.

Artificial intelligence (AI) is rapidly transforming our world, making it imperative to educate the next generation about both the potential benefits and challenges associated with AI. This study presents a cross-disciplinary curriculum that connects AI and chemistry disciplines in the high school classroom. Particularly, we leverage machine learning (ML), an important and simple application of AI to instruct students to build an ML-based virtual pH meter for high-precision pH read-outs. We used a "codeless" and free ML neural network building software - Orange, along with a simple chemical topic of pH to show the connection between AI and chemistry for high-schoolers who might have rudimentary backgrounds in both disciplines. The goal of this curriculum is to promote student interest and drive in the analytical chemistry domain and offer insights into how the interconnection between chemistry and ML can benefit high-school students in science learning. The activity involves students using pH strips to measure the pH of various solutions with local relevancy and then building an ML neural network model to predict the pH value based on color changes of pH strips. The integrated curriculum increased student interest in chemistry and ML and demonstrated the relevance of science to their daily lives and global issues. This approach is transformative in developing a broad spectrum of integration topics between chemistry and ML and understanding their global impacts.

The aim of this study was to use sociocultural perspectives to elaborate on Eccles' parent socialization model and create a culturally grounded, multidimensional model of parent support among Mexican-descent families. Given Latinx underrepresentation in science, technology, engineering, and mathematics careers, we focus on science as an important domain in which to study parent support. Using a qualitative approach, this study examines (a) what forms of parent science support do Mexican-descent parents and adolescents perceive as best practices and (b) what are the social, cultural, and contextual barriers parents face and in what ways do parents continue to support their adolescents in science in spite of those barriers? Seventy-four parent (mean age: 40 years; 23% U.S.-born and 77% Mexico-born) and 73 adolescent (mean age: 15 years; 41% female) nterviews were analyzed using inductive and deductive approaches. Findings suggest that parents use traditional and nontraditional culturally grounded forms of support: involvement at home, providing words of encouragement (e.g.,echale ganas), and leveraging resources (e.g., kin support). Participants felt work-related barriers, linguistic barriers, and limited science knowledge shaped parents' support. Results highlight the unique ways parents support their adolescents' science education as well as the need for educators to consider how parents' sociocultural experiences shape their support.

Though one might imagine that traditional gender stereotypes about math have lessened over the years, this assumption remains to be tested. We know little about the extent to which parents' gender stereotypes about math abilities and their correlates have changed over time or the extent to which they replicate across research methods and racial/ethnic groups. To address these issues, we used four longitudinal U.S. datasets collected from 1984 to 2009 (n's = 537-14,470, 49-53% girls, 32-95% White, 1-59% Black, 0-22% Latinx) that included similar survey items. Across the datasets, parents believed that boys were better at math than girls. This was particularly consistent among White parents, where the small effects favoring boys replicated across all four datasets covering three decades. Compared to White parents, Black and Latinx parents were significantly less likely to favor boys. After controlling for parent education, income, and their child's math grade, parents' traditional gender stereotypes were significantly and negatively associated with girls' math self-concept, a small effect that replicated across all four datasets. These findings have implications for teachers and parents, as parents (particularly White parents) were significantly more likely to hold traditional math gender stereotypes, which relates to children's math self-concept.

STEM careers are among the fastest growing and highest paid occupations throughout the world. However, persistent social inequities in STEM domains emerge early for Black and Latinx adolescents, creating numerous barriers to their pursuit of STEM. Developmental and motivational theories highlight parents as a source of strength and support for students' STEM motivational beliefs. We conducted a systematic review of the existing work on parents' STEM socialization processes that shape Black and Latinx adolescents' STEM motivational beliefs. As part of this goal, we examined the variability within Black adolescents and within Latinx adolescents based on (a) other demographic factors (e.g., gender) and (b) racial/ethnic promotive and inhibitive factors (e.g., racism). The systematic literature search and eligibility screening yielded 36 relevant peer-reviewed, empirical journal articles published between January 2000 and January 2020. Overall, a majority of studies found support for positive relations between parents' STEM-specific support and adolescents' motivational beliefs among Black and Latinx families. Additionally, most studies included analyses within each racial/ethnic group, and about half of all articles included racial/ethnic promotive or inhibitive factors, such as familism or racism. In our discussion, we highlight an agenda for future research and discuss bridging theoretical perspectives to better position research to more accurately describe STEM motivation among youth from historically underrepresented groups.