Socioscientific issues (SSI) are often used to facilitate students' engagement in multiple scientific practices such as decision-making and argumentation, both of which are goals of STEM literacy, science literacy, and integrated STEM education. Literature often emphasizes scientific argumentation over socioscientific argumentation, which involves considering social factors in addition to scientific frameworks. Analyzing students' socioscientific arguments may reveal how students construct such arguments and evaluate pedagogical tools supporting these skills. In this study, we examined students' socioscientific arguments regarding three SSI on pre- and post-assessments in the context of a course emphasizing SSI-based structured decision-making. We employed critical integrative argumentation (CIA) as a theoretical and analytical framework, which integrates arguments and counterarguments with stronger arguments characterized by identifying and refuting counterarguments. We hypothesized that engaging in structured decision-making, in which students integrate multidisciplinary perspectives and consider tradeoffs of various solutions based upon valued criteria, may facilitate students' development of integrated socioscientific arguments. Findings suggest that students' arguments vary among SSI contexts and may relate to students' identities and perspectives regarding the SSI. We conclude that engaging in structured decision-making regarding personally relevant SSI may foster more integrated argumentation skills, which are critical to engaging in information-laden democratic societies.

Introduction: This research examined the classification accuracy of the Quick Interactive Language Screener (QUILS) for identifying preschool-aged children (3;0 to 6;9) with developmental lan-guage disorder (DLD). We present data from two independent samples that varied in prevalence and diagnostic reference standard.Methods: Study 1 included a clinical sample of children (54 with DLD; 13 without) who completed the QUILS and a standardized assessment of expressive grammar (Syntax subtest from the Diagnostic Evaluation of Language Variation-Norm Referenced; Structured Photographic Expressive Language Test-Preschool 2nd Edition; or Structured Photographic Expressive Lan-guage Test-3 rd Edition). Study 2 included a community sample of children (25 with DLD; 101 without) who completed the QUILS and the Auditory Comprehension subtest of the Preschool Language Scales-5th Edition (PLS-5; Zimmerman et al., 2011). Discriminant analyses were con-ducted to compare classification accuracy (i.e., sensitivity and specificity) using the normrefer-enced cut score (< 25th percentile) with empirically derived cut scores. Results: In Study 1, the QUILS led to low fail rates (i.e., high specificity) in children without impairment and statistically significant group differences as a function of children's clinical status; however, only 65% of children with DLD were accurately identified using the norm -referenced cutoff. In Study 2, 76% of children with DLD were accurately identified at the 25th percentile cutoff and accuracy improved to 84% when an empirically derived cutoff (<32nd percentile) was applied.Conclusions: Findings support the clinical application of the QUILS as a component of the screening process for identifying the presence or absence of DLD in community samples of preschool-aged children.

Using data from 12 studies, we meta-analyze correlations between parent number talk during interactions with their young children (mean sample age ranging from 22 to 79 months) and two aspects of family socioeconomics, parent education, and family income. Potential variations in correlation sizes as a function of study characteristics were explored. Statistically significant positive correlations were found between the amount of number talk in parent-child interactions and both parent education and family income (i.e., r = 0.12 for education and 0.14 for income). Exploratory moderator analyses provided some preliminary evidence that child age, as well as the average level of and variability in socioeconomic status, may moderate effect sizes. The implications of these findings are discussed with special attention to interpreting the practical importance of the effect sizes in light of family strengths and debate surrounding word gaps.

This study investigated factors influencing Force and Motion Conceptual Evaluation (FMCE) pretest and post-test scores for a sample (N 1/4 1116 students) collected in the introductory calculus-based mechanics class at a large eastern land-grant university. Several academic and noncognitive factors were examined using correlation analysis and linear regression analysis to understand their relation to students??? physics conceptual understanding. High school physics preparation was the most important factor in predicting FMCE pretest score. The kind of high school physics class (normal or Advanced Placement) and the student???s academic performance in that class also greatly affected pretest scores. The optimal linear regression model explained 28% of the variance of pretest scores. Controlling for pretest score, ACT or SAT verbal and mathematics scores, students??? grade expectation, and self-efficacy significantly predicted post-test score. The optimal linear regression model explained 54% of the variance of post-test scores. Pretest scores completely captured the effect of high school preparation on post-test scores; if pretest scores were included in a model predicting post-test scores, then high school physics preparation variables were not significant. Gender differences were observed on both the pretest and the post-test. These differences were not substantially mediated by either academic or noncognitive factors.

The Force Concept Inventory (FCI) is a popular multiple-choice instrument used to measure a student's conceptual understanding of Newtonian mechanics. Recently, a network analytic technique called module analysis has been used to identify responses to the FCI and other conceptual instruments that are preferentially selected together by students; these groups of responses are called communities. This study uses module analysis to explore the misconception structure of the FCI at five U.S. institutions with varying undergraduate populations (sample sizes of N 1/4 9606, 4360, 1496, 466, and 213). Students from these universities had a broad range of prior knowledge in physics and of general high school academic preparation, resulting in large differences in FCI normalized gain, pretest, and post-test scores. In the current work, modified module analysis partial was applied and communities of consistently selected responses within the FCI were identified at the five institutions studied. There was substantial similarity between the communities identified postinstruction; somewhat less similarity preinstruction. This suggests that consistently applied Newtonian misconceptions exist both before and after instruction at a wide range of institutions. The most frequently applied misconceptions were largest force determines motion, Newton's third law misconceptions, and motion implies active forces.These misconceptions were still consistently applied even after instruction by a substantial number of students at all but the highest performing of the five institutions.

Understanding how physicists solve problems can guide the development of methods that help students learn and improve at solving complex problems. Leveraging the framework of cognitive task analysis, we conducted semistructured interviews with theoretical physicists (N 1/4 11) to gain insight into the cognitive processes and skills that they use in their professional research. Among numerous activities that theorists described, here we elucidate two activities that theorists commonly characterized as being integral to their work: making assumptions and using analogies. Theorists described making assumptions throughout their research process, especially while setting their project's direction and goals, establishing their model's interaction with mathematics, and revising their model while troubleshooting. They described how assumptions about their model informed their mathematical decision making, as well as instances where mathematical steps fed back into their model's applicability. We found that theorists used analogies to generate new project ideas as well as overcome conceptual challenges. Theorists deliberately sought out or constructed analogies, indicating this is a skill students can practice. When mapping knowledge from one system to another, theorists used systems that shared a high degree of mathematical similarity; however, these systems did not always share similar surface features. We conclude by discussing connections between the ways theorists use assumption and analogy and offering potential new avenues of research regarding applications to instruction.

Does experience with signed language impact the neurocognitive processes recruited by adults solving arithmetic problems? We used event-related potentials (ERPs) to identify the components that are modulated by operation type and problem size in Deaf American Sign Language (ASL) native signers and in hearing English-speaking participants. Participants were presented with single-digit subtraction and multiplication problems in a delayed verification task. Problem size was manipulated in small and large problems with an additional extra-large subtraction condition to equate the overall magnitude of large multiplication problems. Results show comparable behavioral results and similar ERP dissociations across groups. First, an early operation type effect is observed around 200 ms post-problem onset, suggesting that both groups have a similar attentional differentiation for processing subtraction and multiplication problems. Second, for the posterior-occipital component between 240 ms and 300 ms, subtraction problems show a similar modulation with problem size in both groups, suggesting that only subtraction problems recruit quantity-related processes. Control analyses exclude possible perceptual and cross-operation magnitude-related effects. These results are the first evidence that the two operation types rely on distinct cognitive processes within the ASL native signing population and that they are equivalent to those observed in the English-speaking population. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

In the summer of 2020, due to COVID-19, institutions either canceled or remotely hosted their research experience for undergraduates (REU) programs. We carried out a 16-week longitudinal study examining the impact of these fully remote research experiences on mentees' psychosocial gains (e.g., identity). We studied the phenomenon of a remote research experience from the standpoint of the mentees (N = 10) and their mentors (N = 8), who were each interviewed seven and three times, respectively (94 total interviews). All mentees reported that this experience was highly beneficial through different factors such as other recognition and self-recognition, which led to their development of a sense of belonging, self-efficacy, and identity despite working remotely. Then, we synthesize these results with prior literature and develop a framework showing how different experiences and constructs affect the physics and researcher identity development. Gaining a greater understanding regarding factors leading to the growth of psychosocial gains may help REU coordinators and REU mentors to redesign their undergraduate research program and provide the support that their mentees' need to have a positive undergraduate research experience.