To prepare physics students for future careers, educators need to understand the skills and other factors necessary for entry and success on the job. Often these insights are based on CEOs, HR personnel, and managers, who provide broad perspectives regarding successful attributes of new hires. However, such insights are often more general and disconnected from specific jobs than insights gained from entry-level employees who recently transitioned from school to work. Using in-depth descriptive summaries and thematic analysis from interviews with six recently hired technicians and engineers in the field of optics, we explored factors that influenced their entry and success on the job. Six themes arose: documentation, computational skills, specialized learning, question asking, tinkering skills, and navigating cultural differences. We discuss the implications of these themes in both their value to employees as well as integration into the physics curriculum.

Studies of inequality in higher education on both undergraduate and graduate levels have rarely examined experiences of Asians and Pacific Islanders (APIs). In this study, we focus on the experiences and outcomes of API students in doctoral education. More specifically, we examine socialization experiences and research productivity of three groups of students: domestic API, international API, and domestic white students. The results, based on a national cohort of PhD students in biology, reveal notable differences in experiences and outcomes of domestic and international API students. Although variation in socialization experiences explains differences in research productivity in the first year, that is not the case in the second year of doctoral study. In the second year, international API students have publication productivity comparable to their white peers, despite less favorable socialization experiences. Domestic API students, however, have lower research productivity than their white peers, even though they have comparable socialization experiences. Given the presumption of APIs' success, especially in the STEM fields, findings for domestic API students are surprising and not aligned with the model minority stereotype. Contributions to research on API students, doctoral education, and socialization theory are discussed.

Positive interpersonal relationships require shared understanding along with a sense of rapport. A key facet of rapport is mirroring and convergence of facial expression and body language, known as nonverbal synchrony. We examined nonverbal synchrony in a study of 29 heterosexual romantic couples, in which audio, video, and bracelet accelerometer were recorded during three conversations. We extracted facial expression, body movement, and acoustic-prosodic features to train neural network models that predicted the nonverbal behaviors of one partner from those of the other. Recurrent models (LSTMs) outperformed feed-forward neural networks and other chance baselines. The models learned behaviors encompassing facial responses, speech-related facial movements, and head movement. However, they did not capture fleeting or periodic behaviors, such as nodding, head turning, and hand gestures. Notably, a preliminary analysis of clinical measures showed greater association with our model outputs than correlation of raw signals. We discuss potential uses of these generative models as a research tool to complement current analytical methods along with real world applications (e.g., as a tool in therapy).

The underrepresentation of women along the entire computer science (CS) pipeline has been an intractable problem. The relatively high proportion of women attending coding boot camps-35%, as compared to 14% in CS university programs-would suggest that CS is of interest in the postsecondary female population. Yet little is known about the profile of women attending these camps and the type of expertise they are learning in the setting. This qualitative work attempts to address this gap by investigating the backgrounds of nine women in two boot camp settings. The research focuses on what they are learning in each environment and how these skills align with the routine to adaptive expertise continuum. Findings from this study may indicate ways in which women may be recruited into public postsecondary institutions to study or major in CS.

Research on collaborative learning between humans and virtual pedagogical agents represents a necessary extension to recent research on the conceptual, theoretical, methodological, analytical, and educational issues behind co- and socially-shared regulated learning between humans. This study presents a novel coding framework that was developed and used to describe collaborations between learners and a pedagogical agent (PA) during a subgoal setting activity with MetaTutor, an intelligent tutoring system. Learner-PA interactions were examined across two scaffolding conditions: prompt and feedback (PF), and control. Learners' compliance to follow the PA's prompts and feedback in the PF condition were also examined. Results demonstrated that learners followed the PA's prompts and feedback to help them set more appropriate subgoals for their learning session the majority of the time. Descriptive statistics revealed that when subgoals were set collaboratively between learners and the PA, they generally lead to higher proportional learning gains when compared to less collaboratively set goals. Taken together, the results provide preliminary evidence that learners are both willing to engage in and benefit from collaborative interactions with PAs when immediate, directional feedback and the opportunity to try again are provided. Implications and future directions for extending co- and socially-shared regulated learning theories to include learner-PA interactions are proposed.

From birth, humans are able to discriminate quantities using the approximate number system (ANS). However, previous methods have only been suitable to examine ANS functioning in infancy and older children. The goals of this study were twofold: first, to modify an existing method of assessing ANS functioning for toddlerhood; and second, to investigate individual differences in toddlers' ANS performance by examining correlations with their parents' ANS acuity. Using a preferential looking paradigm, we found that 1-to 3-year-olds (N=46) looked significantly longer to numerically changing images compared to numerically constant ones suggesting that the paradigm is a suitable measure of ANS functioning in toddlerhood. Furthermore, we found a positive relation between toddlers' ANS performance and that of their parents (assessed using a non-symbolic number comparison task) independent of children's vocabulary or parents' perceived math ability or preference for math. These findings are consistent with a specific intergenerational transmission of the ANS.

Learning the meanings of Arabic numerals involves mapping the number symbols to mental representations of their corresponding, approximate numerical quantities. It is often assumed that performance on numerical tasks, such as number line estimation (NLE), is primarily driven by translating from a presented numeral to a mental representation of its overall magnitude. Part of this assumption is that the overall numerical magnitude of the presented numeral, not the specific digits that comprise it, is what matters for task performance. Here we ask whether the magnitudes of the presented target numerals drive symbolic number line performance, or whether specific digits influence estimates. If the former is true, estimates of numerals with very similar magnitudes but different hundreds digits (such as 399 and 402) should be placed in similar locations. However, if the latter is true, these placements will differ significantly. In two studies (N = 262), children aged 7-11 and adults completed 0-1000 NLE tasks with target values drawn from a set of paired numerals that fell on either side of Hundreds boundaries (e.g., 698 and 701) and Fifties boundaries (e.g., 749 and 752). Study 1 used an atypical speeded NLE task, while Study 2 used a standard non-speeded NLE task. Under both speeded and non-speeded conditions, specific hundreds digits in the target numerals exerted a strong influence on estimates, with large effect sizes at all ages, showing that the magnitudes of target numerals are not the primary influence shaping children's or adults' placements. We discuss patterns of developmental change and individual difference revealed by planned and exploratory analyses.

How can education optimize transmission of knowledge while also fostering further learning? Focusing on children at the cusp of formal schooling (N = 180, age = 4.0-6.0 y), we investigate learning after direct instruction by a knowledgeable teacher, after questioning by a knowledgeable teacher, and after questioning by a naive informant. Consistent with previous findings, instruction by a knowledgeable teacher allows effective information transmission but at the cost of exploration and further learning.Critically, we find a dual benefit for questioning by a knowledgeable teacher: Such pedagogical questioning both effectively transmits knowledge and fosters exploration and further learning, regardless of whether the question was directed to the child or directed to a third party and overheard by the child. These effects are not observed when the same question is asked by a naive informant. We conclude that a teacher's choice of pedagogical method may differentially influence learning through their choices of how, and how not, to present evidence, with implications for transmission of knowledge and self-directed discovery. A video abstract of this article can be viewed at: https://www.youtube.com/watch?v=FJXH2b65wL8

A formative pilot study of a fractions intervention was conducted to address the intervention's potential for improving fifth-grade struggling students' knowledge of fractions, and to identify any logistical or instructional design issues, before scaling up for a randomized control trial. In the first section, we provide details of the formative pilot study and present preliminary data that demonstrate the potential of the intervention. Intervention lessons-adapted from a commercially available program-emphasize consistent use of the number line in conjunction with concrete representations to scaffold learning and facilitate understanding of grade-level and foundational fractions content. We explain how intervention revisions were guided by the formative evaluation. In the second section, we present key concepts that distinguish understanding fractions principles from understanding whole number principles. These concepts relate to understanding foundations of fractions (e.g., magnitude, equivalence, part-whole, and measurement) and the four operations. We present these key concepts and show how the fractions intervention addressed them as a guide to practitioners for teaching new and difficult fractions content, as students integrate fractions understanding with their understanding of whole numbers.

Addressing student conceptions with instruction has been a major issue in physics education for decades. However, too often the focus is on treating student ideas as "misconceptions" rather than as potentially productive ideas with varying degrees of sophistication. This paper introduces learning progressions as models that describe ideas students are likely to hold at varying levels of sophistication. This guidance can help us to focus on students' existing understanding, rather than on what students do not yet know. With such nuanced and structured models of student learning, we can ensure that our assessments do not just check for whether students have the "right" answer, but obtain a more accurate "picture" of what students truly understand about the content to inform instruction that is responsive to students' learning needs. © 2018 American Association of Physics Teachers.