Undergraduates enrolled in large, active learning courses must self-regulate their learning (self-regulated learning [SRL]) by appraising tasks, making plans, setting goals, and enacting and monitoring strategies. SRL researchers have relied on self-report and learner-mediated methods during academic tasks studied in laboratories and now collect digital event data when learners engage with technology-based tools in classrooms. Inferring SRL processes from digital events and testing their validity is challenging. We aligned digital and verbal SRL event data to validate digital events as traces of SRL and used them to predict achievement in lab and course settings. In Study 1, we sampled a learning task from a biology course into a laboratory setting. Enrolled students (N = 48) completed the lesson using digital resources (e.g., online textbook, course site) while thinking aloud weeks before it was taught in class. Analyses confirmed that 10 digital events reliably co-occurred >= 70% of the time with verbalized task definition and strategy use macroprocesses. Some digital events co-occurred with multiple verbalized SRL macroprocesses. Variance in occurrence of validated digital events was limited in lab sessions, and they explained statistically nonsignificant variance in learners' performance on lesson quizzes. In Study 2, lesson-specific digital event data from learners (N = 307) enrolled in the course (but not in Study 1) predicted performance on lesson-specific exam items, final exams, and course grades. Validated digital events also predicted final exam and course grades in the next semester (N = 432). Digital events can be validated to reflect SRL processes and scaled to explain achievement in naturalistic undergraduate education settings.

Across development, experience has a strong impact on the way we think and adapt. School experience affects academic and social-emotional outcomes, yet whether differences in pedagogical experience modulate underlying brain network development is still unknown. In this study, we compared the brain network dynamics of students with different pedagogical backgrounds. Specifically, we characterized the diversity and stability of brain activity at rest by combining both resting-state fMRI and diffusion-weighted structural imaging data of 87 4-18 years old students experiencing either the Montessori pedagogy (i.e., student-led, trial-and-error pedagogy) or the traditional pedagogy (i.e., teacher-led, test-based pedagogy). Our results revealed spatiotemporal brain dynamics differences between students as a function of schooling experience at the whole-brain level. Students from Montessori schools showed overall higher functional integration (higher system diversity) and neural stability (lower spatiotemporal diversity) compared to traditionally schooled students. Higher integration was explained mainly through the cerebellar (CBL) functional network. In contrast, higher temporal stability was observed in the ventral attention, dorsal attention, somatomotor, frontoparietal, and CBL functional networks. This study suggests a form of experience-dependent dynamic functional connectivity plasticity, in learning-related networks.

Alkylamine structures represent one of the most functional and widely used in organic synthesis and drug design. However, the general methods for the functionalization of the shielded and deshielded alkyl radicals remain elusive. Here, we report a general deoxygenative amination protocol using alcohol-derived carbazates and nitrobenzene under electrochemical conditions. A range of primary, secondary, and tertiary alkylamines are obtained. This practical procedure can be scaled up through electrochemical continuous flow technique. Secondary arylalkylamines represent important building blocks for organic synthesis, and as such their straightforward synthesis from readily available chemicals remains a priority in organic chemistry. Here, the authors report a synthesis of arylalkylamines from nitroarenes and carbazates via paired electrolysis.

Neuroimaging studies using functional magnetic resonance imaging (fMRI) have provided unparalleled insights into the fundamental neural mechanisms underlying human cognitive processing, such as high-level linguistic processes during reading. Here, we build upon this prior work to capture sentence reading comprehension outside the MRI scanner using functional near infra-red spectroscopy (fNIRS) in a large sample of participants (n = 82). We observed increased task-related hemodynamic responses in prefrontal and temporal cortical regions during sentence-level reading relative to the control condition (a list of non-words), replicating prior fMRI work on cortical recruitment associated with high-level linguistic processing during reading comprehension. These results lay the groundwork towards developing adaptive systems to support novice readers and language learners by targeting the underlying cognitive processes. This work also contributes to bridging the gap between laboratory findings and more real-world applications in the realm of cognitive neuroscience.

Science communication often assumes a 'deficit' in knowledge on behalf of the recipient, but this deficit-based approach is inequitable and ineffective. We must train all STEM (science, technology, engineering and mathematics) students in inclusive science communication, which uses collaboration with diverse people to address misinformation and solve socioscientific issues.

Thinking about knowledge and knowing (i.e., epistemic cognition) is an important part of student learning and has implications for how they apply their knowledge in future courses, careers, and other aspects of their lives. Three classes of models have emerged from research on epistemic cognition: developmental models, dimensional models, and resources models. These models can be distinguished by how value is assigned to particular epistemic ideas (hierarchy), how consistent epistemic ideas are across time and/or context (stability), and the degree to which people are consciously aware of their own epistemic ideas (explicitness). To determine the extent to which these models inform research on epistemic cognition in chemistry education specifically, we reviewed 54 articles on undergraduate chemistry students' epistemologies. First, we sought to describe the articles in terms of the courses and unit of study sampled, the methods and study designs implemented, and the means of data collection utilized. We found that most studies focused on the epistemic cognition of individual students enrolled in introductory chemistry courses. The majority were qualitative and employed exploratory or quasi-experimental designs, but a variety of data collection methods were represented. We then coded each article for how it treated epistemic cognition in terms of hierarchy, stability, and explicitness. The overwhelming majority of articles performed a hierarchical analysis of students' epistemic ideas. An equal number of articles treated epistemic cognition as stable versus unstable across time and/or context. Likewise, about half of the studies asked students directly about their epistemic cognition while approximately half of the studies inferred it from students' responses, course observations, or written artifacts. These codes were then used to infer the models of epistemic cognition underlying these studies. Eighteen studies were mostly consistent with a developmental or dimensional model, ten were mostly aligned with a resources model, and twenty-six did not provide enough information to reasonably infer a model. We advocate for considering how models of epistemic cognition-and their assumptions about hierarchy, stability, and explicitness-influence the design of studies on students' epistemic cognition and the conclusions that can be reasonably drawn from them.

Equitable access to communities of practice for future workforce development has been challenging for construction education instructors. This has been identified as one of the triggers of deficiencies and disparities in the skills and competence of new construction engineering graduates and consequently, dissatisfaction of employers. To address this challenge, a web-based collaborative platform was designed and developed to integrate both communities. This study presents a usability evaluation of the web-based platform from instructors' perspective using quantitative and qualitative analyses. The results from semi-structured interview, ratings of system usability scale, and trust scale were used to infer users' acceptance of the platform. The results reveal high acceptance of the platform by end users as a tool to connect with practitioners for workforce development collaborations. The results also show required improvements to enhance users' experience. The study provides a guide for the usability evaluation of similar matching platforms.

Purpose: Children with developmental language disorder frequently have difficulty with both academic success and language learning and use. This clinical focus article describes core principles derived from a larger program of research (National Science Foundation 1748298) on language intervention combined with science instruction for preschoolers. It serves as an illustration of a model for integrating language intervention with curricular content delivery. Method: We present a five-step model for a speech-language pathologist and other school professionals to follow to (a) understand the grade-level core curriculum objectives; (b) align intervention targets with the curriculum; (c) select a therapy approach that aligns with both goals and curricular content, and (d) methods for implementing the intervention; and (e) verify that both the intervention and the curriculum have been provided in accordance with best practices. We apply this model to the Next Generation Science Standards, a science curriculum popular in the United States, and to grammar and vocabulary interventions, two areas of difficulty for children with developmental language disorders, though it would be possible to extend the steps to other curricular areas and intervention targets. Conclusions: We conclude by discussing the barriers and benefits to adopting this model. We recognize that both speech-language pathologists and teachers may have limited time to implement language intervention within a general education curriculum, but we suggest that the long-term benefits outweigh the barriers. © 2024 American Speech-Language-Hearing Association

Women and girls are underrepresented in many, though not all, STEM (science, technology, engineering and mathematics) fields around the world. In this Review, we describe four key factors that help explain the continued underrepresentation of women in STEM. In many parts of the world, women lack access to education and job opportunities, preventing them from pursuing STEM. In places where women do have educational and professional opportunities, masculine cultures - shaped by both masculine defaults and differential treatment - can hinder entry and retention of women in STEM fields. Addressing masculine cultures is important to increase the representation of women, and research has identified multiple promising avenues for intervention. When masculine cultures remain, gender disparities can be reduced by increasing the positive experiences of women and girls in STEM. Finally, choices made by men to enter some STEM fields also contribute to the underrepresentation of women in these fields. We conclude by reviewing promising future directions for research on gender disparities in STEM, including examining the intersections of these factors, sociopolitical and economic contexts, and the experiences of trans and non-binary individuals and people with multiple marginalized identities in STEM. Women remain underrepresented in some STEM fields throughout much of the world. In this Review, Cheryan and colleagues discuss four factors that might explain this underrepresentation - access to education and employment, masculine cultures, insufficient positive experiences, and men's choices - and interventions that might help reduce these disparities.

Students exit calculus with understandings of change that want for conceptual depth and are disconnected from real-world contexts. In this paper, we present a problem that will develop their skills in using change concepts for learning differential equations through modelling. The problem comes from a qualitative study of how STEM majors approach and think about differential equations as models for real-world scenarios. Our purpose is to inform faculty who are using open, authentic, scenario-driven instructional materials about the ways their students think about what are often taken-for-granted concepts in advanced mathematics and to support faculty in ensuring their students get the most from their innovative instructional materials.