Game-based learning environments (GBLEs) supplement classroom instruction so students can demonstrate their scientific reasoning abilities and increase knowledge, providing a platform that promotes interest and engagement in science. The goal of this study was to examine the effectiveness of game mechanics for science learning. This study identifies how two types of game mechanics-learning and assessment mechanics-are used by high school participants (N = 137) as they learn about microbiology with Crystal Island, a game-based learning environment for science education. Participants' learning outcomes were evaluated in two ways: learning gains, which assessed participants' domain knowledge acquisition, and game completion, which assessed participants' ability to successfully demonstrate scientific reasoning abilities. Results from this study showed that game completion is not related to learning gains. However, as participants engaged with increasingly more assessment mechanics, learning gains decreased. Further, profiles of learners were extracted to better understand the learning process that best supports greater learning outcomes. Results showed that learners who engaged in less recurrent transitions across assessment mechanics were more likely to successfully demonstrate scientific reasoning abilities. Implications for the design of games which provide scaffolding based on process data of learners' game mechanic use are provided.

One structural dimension that varies across languages is the simultaneous or sequential expression of meaning. Complex predicates can layer meanings together simultaneously in a single -verb predicate (SVP) or distribute them sequentially in a multiple -verb predicate (MVP). We ask whether typological variability in this dimension might be a consequence of systematic patterns of diachronic change. We examine the distribution of markers of agency and number within the verb phrase (the predicate) in the earliest stages of a young, emerging sign language in Nicaragua, Lengua de Se & ntilde;as Nicarag & uuml;ense (LSN), beginning with homesign systems like those from which LSN originated, and progressing through two decades of transmission to new learners. We find that: (i) LSN2 signers are more likely to produce MVPs than homesigners or LSN1 signers; (ii) in the MVPs they do produce, homesigners and LSN1 signers are more likely to produce predicates that mark both agency and number simultaneously on at least one of the verbs; LSN2 signers are just as likely to produce sequences with verbs that mark agency and number in sequentially separate verbs. We discuss how language acquisition, modality, and structure, as well as specific social factors associated with each of the groups, play a role in driving these changes, and how, over time, these patterns of change might yield the diversity of forms observed across spoken and signed languages today.

Improving equity in undergraduate STEM is a national imperative. Although there is a rapidly growing body of research in this area, there is still a need to generate empirical evidence for equitable teaching techniques. We ground our work in Complex Instruction, an extensively researched pedagogical approach based on sociological theories and the malleability of status. This approach has been applied primarily in K-12 classrooms. In this manuscript, we explore the application of one strategy from Complex Instruction-assigning competence-to undergraduate STEM classrooms. We provide an analysis of three instructors' implementation of assigning competence and track the impact on student participation. This work makes a unique contribution to the field, as the first study that directly documents changes in student participation resulting from assigning competence in undergraduate STEM.

Science communication has historically been inequitable, with certain voices and perspectives holding the power and dominant ways of knowing being promoted over others. Recently, there has been a push toward inclusive science communication, which values diverse perspectives and ways of knowing in collaborative conversations to solve complex socioscientific issues. However, there is a lack of both trainings in inclusive science communication for undergraduate science, technology, engineering, and mathematics (STEM) students as well as established ways to evaluate the efficacy of these trainings. To address this need, we designed a new multifactorial survey based on the Theory of Planned Behavior to assess students' attitudes/norms, self-efficacy, behavioral intents, and behaviors in inclusive science communication, which we termed the Planned Behaviors in Inclusive Science Communication (PB-ISC) Scale. We utilized expert review, exploratory factor analysis, confirmatory factor analysis, cognitive interviews, and quantitative measures to gather evidence of validity supporting the proposed use of the final 4-factor, 26-item survey. This survey can be used as a tool by science communication educators and researchers to assess students' planned behavior in inclusive science communication in response to trainings or experiences in science communication or related topics like socioscientific issues, civic engagement, and citizen science.

Stronger metacognitive regulation skills and higher self-efficacy are linked to increased academic achievement. Metacognition and self-efficacy have primarily been studied using retrospective methods, but these methods limit access to students' in-the-moment metacognition and self-efficacy. We investigated first-year life science students' metacognition and self-efficacy while they solved challenging problems, and asked: 1) What metacognitive regulation skills are evident when first-year life science students solve problems on their own? and 2) What aspects of learning self-efficacy do first-year life science students reveal when they solve problems on their own? Think-aloud interviews were conducted with 52 first-year life science students across three institutions and analyzed using content analysis. Our results reveal that while first-year life science students plan, monitor, and evaluate when solving challenging problems, they monitor in a myriad of ways. One aspect of self-efficacy, which we call self-coaching, helped students move past the discomfort of monitoring a lack of understanding so they could take action. These verbalizations suggest ways we can encourage students to couple their metacognitive skills and self-efficacy to persist when faced with challenging problems. Based on our findings, we offer recommendations for helping first-year life science students develop and strengthen their metacognition to achieve improved problem-solving performance.

Course -based undergraduate research experiences (CUREs) have been proposed as a mechanism to democratize access to the benefits of apprentice -style scientific research to a broader diversity of students, promoting inclusivity and increasing student success and retention. As we evaluate CUREs, it is essential to explore their effectiveness within the environments of regional comprehensive universities and community colleges, because they are important access points for a wide variety of students. It is also important to address the potential influence of volunteer bias, where students can opt to enroll in either the CURE or a traditional lab, on the outcomes of CUREs. We evaluated a CURE at a regional comprehensive university under conditions both with and without volunteer bias. We find that nonvolunteer students report a lower sense of discovery and relevance of the CURE compared with students who volunteered for the course. Importantly, we also find that our replacement of the traditional lab class with a CURE resulted in lower scores on exams in the associated lecture course among students who are both BIPOC and Pell eligible. We call for additional research on the effects of CUREs at nonresearch-intensive institutions and without volunteer bias, to better understand the impact of these classes.

A "critical access point in the STEM pipeline for Latinx students and other students of color" (Herrera et al., 2018), community colleges provide a seminal breeding ground for academic pursuits (Bahr et al., 2017). However, how personal networks influence STEM pathways of two-year college students remains largely unexplored. This mixed methods case study explores influence of personal networks on pursuing STEM fields via social network analysis and qualitative narratives. 36 women of color STEM majors at a two-year urban Hispanic-Serving Institution were interviewed via social network questionnaire. Participants nominated anyone who has influenced their STEM trajectory, which signifies influence to their reason for pursuing a STEM path; they also had an option to qualitatively elaborate on any nomination but this was not required. Nominations were counted towards degree centrality and categorized into social relationships. Participants nominated diverse relationship influences, with family as the most influential relationship group, followed by college faculty/staff. Qualitative narratives revealed that family influenced participants, regardless of relatives' educational attainment level at the high school or lower level. In alignment with community cultural wealth, family members provided the impetus for pursuing STEM pathways through influence on participants' (1) aspirational capital, (2) familial capital, and (3) resistant capital.

Fit sessions are essential in making well-fitted clothing. During these sessions, apparel fit is determined iteratively by a team of designers, technical designers, fit models, and merchandisers. With the advent of the digitalization of new product development processes in the fashion industry, fit sessions have been seen as a bottleneck for they are still held in person. However, the process is currently still irreplaceable, and what makes the feedback provided by fit models important is an area that has never been tapped. Therefore, the present study aimed to understand fit models' role in fit sessions as well as how they assess the fit of garments and deliver their feedback. On-site observation during fit sessions and individual interviews with fit models were conducted. It was found that fit models gave comfort, fit, and tactile comments by testing garments while standing and moving between several postures. They had knowledge that overlapped with those of technical designers and designers and this empowerment enabled them to take part in the decision-making process in fit sessions. It also was found that fit models' feedback on garments was essential as they were the first people to try on the garments and present the customers' points of view.

BackgroundLearning assistants (LAs) in undergraduate STEM lectures facilitate discussions between students in small groups. In this research study, we investigate the impact of LA facilitation on student learning as it occurs during LA-student interactions. To do so, our work builds on two sociocultural frameworks focused on LA facilitation and student in-the-moment learning. We conceptualize LA facilitation as either authoritative if it centers one perspective or dialogic if it centers multiple perspectives. Student in-the-moment learning is understood as the progression of student needs and the filling of those needs with LA and student ideas.ResultsOur analysis of 78 video recordings of LA-student interactions from 37 different chemistry and physics LAs revealed that LA facilitation had four major impacts on student in-the-moment learning: increasing grappling, reaching closure, sharing ideas and reasoning, and revisiting an earlier need. Rather than these impacts differing upon the use of authoritative and dialogic facilitation, all four impacts sometimes resulted from authoritative and sometimes from dialogic facilitation. However, authoritative facilitation was more often correlated with LA-centered manifestation of these impacts, while dialogic facilitation was more often correlated with student-centered manifestation. In addition to these conceptual impacts, we also found five socioemotional impacts: less participation, dominance continues, fostering participation, students choose not to participate, and lighthearted conversation. LAs added socioemotional components to both authoritative and dialogic facilitation, and actions aimed at bringing more students into the conversation indeed had this impact, while actions addressing specific students often continued to privilege the participation of the same students.ConclusionOur study expands theory on authoritativeness and dialogicity as it empirically validates that authoritative facilitation is more often correlated with LA-centered learning and dialogic facilitation is more often correlated with student-centered learning. Further, our work is the first to explore the socioemotional impact of LAs in the moment of interaction. Our findings can be used in LA trainings to teach LAs how to intentionally use authoritative and dialogic facilitation, how to incorporate socioemotional components to their facilitation, and how to adjust their practice to align with learning goals for students in their context.

Background: The learning assistant (LA) model supports student success in undergraduate science courses; however, variation in outcomes has led to a call for more work investigating how the LA model is implemented. In this research, we used cultural historical activity theory (CHAT) to characterize how three different instructors set up LA-facilitated classrooms and how LAs' understanding and development of their practices was shaped by the classroom activity. CHAT is a sociocultural framework that provides a structured approach to studying complex activity systems directed toward specific objects. It conceptualizes change within these systems as expansive learning, in which experiencing a contradiction leads to internalization and critical self-reflection, and then externalization and a search for solutions and change. Results: Through analyzing two semi-structured retrospective interviews from three professors and eleven LAs, we found that how the LA model was implemented differed based on STEM instructors' pedagogical practices and goals. Each instructor leveraged LA-facilitated interactions to further learning and tasked LAs with emotionally supporting students to grapple with content and confusions in a safe environment; however, all three had different rules and divisions of labor that were influenced by their perspectives on learning and their objects for the class. For LAs, we found that they had multiple, sometimes conflicting, motives that can be described as either practical, what they described as their day-to-day job, or sense-making, how they made sense of the reason for their work. How these motives were integrated/separated or aligned/misaligned with the collective course object influenced LAs' learning in practice through either a mechanism of consonance or contradiction. We found that each LA developed unique practices that reciprocally shaped and were shaped by the activity system in which they worked. Conclusions: This study helps bridge the bodies of research that focus on outcomes from the LA model and LA learning and development by describing how LA learning mechanisms are shaped by their context. We also show that variation in the LA model can be described both by classroom objects and by LAs' development in dialogue with those objects. This work can be used to start to develop a deeper understanding of how students, instructors, and LAs experience the LA model.