This study utilized growth curves and change models to understand the impact of student perceptions of teacher caring on the development of math motivation for an ethnically and linguistically diverse sample of adolescents in middle school (N = 1926) and high school (N = 1531). Using an expectancy-value framework, growth curves revealed declining math motivation for both middle school and high school cohorts. However, perceived teacher caring buffered against these declines and was positively associated with math self-efficacy and subjective task values. Change models revealed that perceived teacher caring at the beginning of the school year increased math motivation by the end of the year. The results shed light on the important role that student-teacher relationships play in influencing math motivation during adolescence.

The goal of this study was to investigate 65 students' evidence scores of emotions while they engaged in cognitive and metacognitive self-regulated learning processes as they learned about the circulatory system with MetaTutor, a hypermedia-based intelligent tutoring system. We coded for the accuracy of detecting students' cognitive and metacognitive processes, and examined how the computed scores related to mean evidence scores of emotions and overall learning. Results indicated that mean evidence score of surprise negatively predicted the accuracy of making a metacognitive judgment, and mean evidence score of frustration positively predicted the accuracy of taking notes, a cognitive learning strategy. These results have implications for understanding the beneficial role of negative emotions during learning with advanced learning technologies. Future directions include providing students with feedback about the benefits of both positive and negative emotions during learning and how to regulate specific emotions to ensure the most effective learning experience with advanced learning technologies.

Collaborative tasks do not always promote equal learning. Varying levels of social interactions and regulation at the individual and group levels can influence knowledge construction efforts and learning success. To understand which collaboration patterns may be more conducive to learning, this study examined the relation between social exchange, regulation, and learning outcomes. Four project-based engineering undergraduate teams were audiotaped in collaborative tasks (7514 talk turns). Discourse was coded for regulation processes and types (self and socially shared regulation), and analyzed with Epistemic Network Analysis and Process Mining. We find that teams who reported more frequent social exchange engaged in shared regulation together with planning and monitoring more frequently, while teams with less exchange engaged in long durations of collaboration. Furthermore, students in teams with more engaged regulation reported enhanced beliefs in group efficacy to solve collaborative tasks. The study illustrates the potential of applying quantitative approaches to analyzing rich discourse.

The question of whether schools should promote cultural pride and engage students in ethnic traditions is hotly contested. To contribute to this debate, this longitudinal study examined whether school cultural socialization predicted adolescents' engagement in school over time and whether this relation was mediated by school climate. Data were collected in four waves during a two-year period from 254 African American fifth-graders (53.9% males; Mage = 10.95 at Wave 1) enrolled in three public middle schools. Results revealed that African American youth who reported more school cultural socialization also had greater school engagement over time. This longitudinal relation was fully mediated by youth's perceptions of school climate. Implications for how to promote African American youth's perceptions of schools as culturally sensitive and supportive environments are discussed.

Students' valuing of subject domains is an important contributor to students' educational success. As one avenue to foster students' valuing, social-cognitive motivational theories suggest that teachers might transmit their value beliefs to students through their instructional strategies. Accordingly, the current study examined the transmission of teacher's math value to students' math value via the content-related instructional strategy of cognitive support as reported by teachers and students. Using a longitudinal dataset of 1429 students (51% males, 68% Hispanic) and their 26 teachers (48% female), manifest-latent multilevel regression analyses showed some indication that teacher's endorsement of math valuing for their students, but not their personal value beliefs, might be associated indirectly with class average students' interest value through teacher's provision of cognitive support. Furthermore, teacher's reported cognitive support was related to the class average of students' value beliefs through class average students' perceptions of cognitive support, highlighting the importance of students' perceptions. © 2021 Elsevier Ltd

While a recent upsurge in the application of neuroimaging methods to creative cognition has yielded encouraging progress toward understanding the neural underpinnings of creativity, the neural basis of barriers to creativity are as yet unexplored. Here, we report the first investigation into the neural correlates of one such recently identified barrier to creativity: anxiety specific to creative thinking, or creativity anxiety (Daker et al., 2019). We employed a machine-learning technique for exploring relations between functional connectivity and behavior (connectome-based predictive modeling; CPM) to investigate the functional connections underlying creativity anxiety. Using whole-brain resting-state functional connectivity data, we identified a network of connections or edges that predicted individual differences in creativity anxiety, largely comprising connections within and between regions of the executive and default networks and the limbic system. We then found that the edges related to creativity anxiety identified in one sample generalize to predict creativity anxiety in an independent sample. We additionally found evidence that the network of edges related to creativity anxiety were largely distinct from those found in previous work to be related to divergent creative ability (Beaty et al., 2018). In addition to being the first work on the neural correlates of creativity anxiety, this research also included the development of a new Chinese-language version of the Creativity Anxiety Scale, and demonstrated that key behavioral findings from the initial work on creativity anxiety are replicable across cultures and languages.

Despite substantial progress in the quest of demystifying the brain basis of creativity, several questions remain open. One such issue concerns the relationship between two latent cognitive modes during creative thinking, i.e., deliberate goal-directed cognition and spontaneous thought generation. Although an interplay between deliberate and spontaneous thinking is often implicated in the creativity literature (e.g., dual-process models), a bottom-up data-driven validation of the cognitive processes associated with creative thinking is still lacking. Here, we attempted to capture the latent modes of creative thinking by utilizing a data-driven approach on a novel continuous multitask paradigm (CMP) that widely sampled a hypothetical two-dimensional cognitive plane of deliberate and spontaneous thinking in a single fMRI session. The CMP consisted of eight task blocks ranging from undirected mind wandering to goal-directed working memory task, while also included two widely used creativity tasks, i.e., alternate uses task (AUT) and remote association task (RAT). Using eigen-connectivity (EC) analysis on the multitask whole-brain functional connectivity (FC) patterns, we embedded the multitask FCs into a low-dimensional latent space. The first two latent components, as revealed by the EC analysis, broadly mapped onto the two cognitive modes of deliberate and spontaneous thinking, respectively. Further, in this low dimensional space, both creativity tasks were located in the upper right corner of high deliberate and spontaneous thinking (creative cognitive space). Neuroanatomically, the creative cognitive space was represented by not only increased intra-network connectivity within executive control and default mode network, but also by higher coupling between the two canonical brain networks. Further, individual differences reflected in the low-dimensional connectivity embeddings were related to differences in deliberate and spontaneous thinking abilities. Altogether, using a continuous multitask paradigm and a data-driven approach, we provide initial empirical evidence for the contribution of both deliberate and spontaneous modes of cognition during creative thinking.

Science, Technology, Engineering and Mathematics (STEM) jobs have grown in importance in the labor market in recent decades, and they are widely seen as the jobs of the future. Using data from the U.S. Census and American Community Survey, we first investigate the role of employment in STEM occupations when it comes to recent changes in the occupational employment distribution in the U.S. labor market. Next, with data from the High School and Beyond sophomore cohort (Class of 1982) recent midlife follow-up, we investigate the importance of high school students’ mathematics and science coursework, knowledge, and skills for midlife occupations. The Class of 1982 completed high school prior to technological changes altering the demand for labor. We find that individuals who took more advanced levels of high school mathematics coursework enjoyed occupations with a higher percentile rank in the average wage distribution and were more likely to hold STEM-related occupations. Findings suggest that the mathematics coursework enabled workers to adapt and navigate changing labor market demands. © 2021

Few studies have investigated how person-organization (P-O) fit between beginning teachers and features of their schools is associated with teacher retention. This study investigated the association between several measures of P-O fit and novice teacher retention in the United States. Data analysis indicated that first-year teachers' (FYTs) perceptions of P-O fit with their teaching colleagues was the strongest predictor of teacher retention. These findings suggest that it is important to develop P-O fit between FYTs and their teaching colleagues in schools. The findings have implications for induction programs and the teacher hiring process in schools. (C) 2020 Elsevier Ltd. All rights reserved.