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The specific focus of this study is how a team of four preservice teachers experienced a collaborative practicum model to support the development of cogenerative dialogue and foster professional growth. Data sources included individual video club annotations and the associated group discussions facilitated by comparison of groups members selected annotations. The analysis found that participation in peer collaboration provided multiple viewpoints of shared teaching experiences that enabled preservice teachers' different ways to notice student thinking. Providing a structured framework for reflection, namely the individual video club annotations, served as the genesis for cogenerative dialogues centered on instructional change for the preservice teachers. This work's implications showcase the importance of allowing for the iterative enactment and reflection on pedagogical choices by preservice teachers early in their professional development.

Standardized patient encounters are being utilized more often in occupational therapy education as a replacement for traditional fieldwork. While there is a growing body of research to support the use of this model in developing student skillsets and confidence, there remains limited information on the topic, and no studies which look at its use with occupational therapy assistant students. Twenty-four occupational therapy assistant students participated in standardized patient encounters which served as a replacement for traditional Level I fieldwork. All students completed an anonymous supplementary course evaluation regarding their experiences. A secondary analysis of the data looked at their perceptions of a standardized patient encounter model for fieldwork and how it did or did not prepare them for future Level II clinicals. Quantitative and qualitative data exposed aspects of these experiences which students found to be most and least effective. Overall, data showed moderate support for use of standardized patient encounters to support student confidence and skills in anticipation of Level II fieldwork. The student perception of these types of experiences is influenced by environmental (e.g., structure) and personal (e.g., student personality) factors. Success requires adequate preparation of all involved parties. Use of standardized patient encounters should be researched further to determine its impact on fieldwork performance evaluation scores and future employment.

This position paper introduces the idea of cognicy, the foundational ability to think and understand in a process that decouples cognitive processes from their tangible outcomes. Generative artificial intelligence (AI) can produce output often nearly indistinguishable from a human product, which presents a problem for educational assessment. Cognicy focuses on the process of thought, which is uniquely human, rather than the output, which can be machine generated. The nearest parallel is numeracy, which decouples the underlying mathematical concept from the task of calculation. Similarly, cognicy seeks to disentangle the essential thought process from the outputs, which now can be easily composed by AI. Cognicy is thus a tool for shifting the way in which higher education views the intersection of generative artificial intelligence, learning, and evaluation. It must be where future frameworks for learning focus. Process must be seen as separate from product so that human skills and learning stay relevant. This paper gives a name to these human-based, AI adjacent skills, creating a shared language to begin larger discussions. As a means of starting the conversation, the paper explores the relationship of cognicy to the concepts of Universal Design for Learning (UDL), metacognition, and AI literacy to show how this emerging framework might be employed.

This paper outlines how four community colleges, and a large public university, collaborated to support over 80 paraprofessionals who sought to finish their bachelor's degree and earn licensure. Funding from a statewide "Grow Your Own" initiative allowed the teacher educators at the community colleges and university to put in place structures to support non-traditional students, and each other, during the first year of this program. Lessons learned and next steps are highlighted.

The importance of improving teachers' use of culturally responsive practice (CRP) in the classroom setting has been widely recognized. Although quantitative data on teachers' use of CRP has potential to be a helpful decision-making tool in advancing that goal, little is known about the psychometrics of classroom-based CRP measures, their utility in evaluating the impact of interventions designed to improve teacher CRP, or their use to inform teacher professional development in CRP. The current study reports findings from a systematic review of the research on the quantitative measurement of CRP using the 2020 Preferred Reporting Items for Systematic reviews and Meta-Analyses standards to document how CRP is operationalized and measured in prekindergarten-12th-grade classrooms in the United States (U.S.). Searching across six databases, 27 measures were identified for inclusion. The vast majority of measures were teacher self-report surveys, and relatively few were student-report or external observer assessments. We examined the availability of classroom-based observational and survey instruments and critically analyzed each measure through an argument-based approach to validation. We concluded that although some CRP measures hold promise, the validity of their interpretation and use is not adequately supported by evidence, with some exceptions. This lack of empirical evidence is exacerbated by the limitations of single-informant measurement of CRP. More multi-informant assessment approaches are needed.

Medical school admissions is a contentious and high stakes selection activity. Many assessment approaches are available to support selection; but how are decisions about building, monitoring, and adapting admissions systems made? What shapes the processes and practices that underpin selection decisions? We explore how these decisions are made across several Canadian medical schools, and how values shape the creation, monitoring, and adaptation of admissions systems. Using phenomenography (a qualitative method suited to examining variability), the authors analyzed interviews with 10 current or previous heads of admissions from 10 different undergraduate medical education programs in Canada. Interviews were conducted in English and French, and data was collected between 2016 and 2017 (therefore participants no longer hold these roles). Data was coded and analyzed iteratively, focusing on identifying underlying values, and exploring how these values shape admissions practices and considerations for validity. Eight different intersecting values were identified. Of these, four were shared across all participants: critically questioning the process and tools, aiming for equity, striving for better, and embracing the challenges of change. The expression of these values depended on different contextual variables (e.g., geographic location, access to expertise, resource availability), and values shaped how admissions systems were built, enacted, and monitored for quality. Ultimately, values shaped: (1) admissions practices resulting in different candidates being offered admission, and (2) how arguments supporting score interpretation are built (i.e., validity). This study documents various values that influence admissions processes, practices, and quality monitoring. The values that shape what is assessed, how it is assessed, and how fair and defensible practices are conceptualized have significant impact, ultimately determining who is selected. These values--whether implicit or explicit--result in intended and unintended consequences in selection processes. However, these values are rarely explicitly examined and questioned, leaving it uncertain as to which consequences are the intended outcomes of deliberately chosen values, and which are unintended consequences of implicitly held values of admissions systems and their actors.

Prior studies have documented the pattern of decreased state funding for higher education in periods of economic contraction (i.e., the balance wheel phenomenon). This qualitative case study examines how policymakers in California and Texas made decisions about funding higher education at the onset of the COVID-19 pandemic, when policymakers faced an economic downturn. Data comprise 28 interviews with key state actors and 69 documents. The analysis expands prior understandings of how state policymakers make budgeting decisions that affect higher education by exploring how they perceive certain target populations as deserving or undeserving of state support. The study also sheds light on the tenuous relationship between policymakers' views of higher education and their funding decisions.

The density of wood is a key indicator of the carbon investment strategies of trees, impacting productivity and carbon storage. Despite its importance, the global variation in wood density and its environmental controls remain poorly understood, preventing accurate predictions of global forest carbon stocks. Here we analyse information from 1.1 million forest inventory plots alongside wood density data from 10,703 tree species to create a spatially explicit understanding of the global wood density distribution and its drivers. Our findings reveal a pronounced latitudinal gradient, with wood in tropical forests being up to 30% denser than that in boreal forests. In both angiosperms and gymnosperms, hydrothermal conditions represented by annual mean temperature and soil moisture emerged as the primary factors influencing the variation in wood density globally. This indicates similar environmental filters and evolutionary adaptations among distinct plant groups, underscoring the essential role of abiotic factors in determining wood density in forest ecosystems. Additionally, our study highlights the prominent role of disturbance, such as human modification and fire risk, in influencing wood density at more local scales. Factoring in the spatial variation of wood density notably changes the estimates of forest carbon stocks, leading to differences of up to 21% within biomes. Therefore, our research contributes to a deeper understanding of terrestrial biomass distribution and how environmental changes and disturbances impact forest ecosystems.

BackgroundReward and threat processes work together to support adaptive learning during development. Adolescence is associated with increasing approach behavior (e.g., novelty-seeking, risk-taking) but often also coincides with emerging internalizing symptoms, which are characterized by heightened avoidance behavior. Peaking engagement of the nucleus accumbens (NAcc) during adolescence, often studied in reward paradigms, may also relate to threat mechanisms of adolescent psychopathology.Methods47 typically developing adolescents (9.9-22.9 years) completed an aversive learning task during functional magnetic resonance imaging, wherein visual cues were paired with an aversive sound or no sound. Task blocks involved an escapable aversively reinforced stimulus (CS+r), the same stimulus without reinforcement (CS+nr), or a stimulus that was never reinforced (CS-). Parent-reported internalizing symptoms were measured using Revised Child Anxiety and Depression Scales.ResultsFunctional connectivity between the NAcc and amygdala differentiated the stimuli, such that connectivity increased for the CS+r (p = .023) but not for the CS+nr and CS-. Adolescents with greater internalizing symptoms demonstrated greater positive functional connectivity for the CS- (p = .041).ConclusionsAdolescents show heightened NAcc-amygdala functional connectivity during escape from threat. Higher anxiety and depression symptoms are associated with elevated NAcc-amygdala connectivity during safety, which may reflect poor safety versus threat discrimination.

This experimental study explored the use of online expressive writing interventions to cope with distress from heterosexist events among a sample of autistic-LBGQ + individuals. This study included an open writing condition and an emotion focused therapy guided writing condition. Over 89% of the participants indicated that the writing exercises were helpful in processing the event, with significant decreases for measures of depressive and trauma/stressor symptoms. A thematic analysis identified specific aspects of each condition that were helpful for participants in coping with heterosexist distress, such as the development of insight through the emotion-focused exercises. This low-demand exercise is promising as a solo exercise or as a therapy homework assignment, especially given the accessibility of this online intervention for autistic-LGBQ + people.

The Precipitating Change Project was a 5-year development, implementation, and research study of an innovative 4-week middle school curricular unit in computational weather forecasting that integrates students' learning and use of meteorology and computational thinking (CT) concepts and practices. The project produced a list of CT skills and definitions that students use to predict the weather, CT assessment instruments, and a CT classroom observation protocol. Data was collected from 306 eighth grade (ages 13-14) students in rural indigenous communities in the Arctic and urban and suburban Northeast communities in the USA. The project met its goal of producing an intentional instructional sequence that integrates disciplinary science and CT practices to increase students' science knowledge and their ability to use CT skills and processes. The results indicate that teachers were able to use the curriculum to embed CT practices into the classroom. Students, in turn, had the opportunity to practice using these skills in class discussion as evidenced by the classroom observation data, and students' science knowledge of CT content and practices significantly increased as evidenced by their performance on the weather content and CT skills pre- and post-assessments. While statistically significant gains in science knowledge and CT skills and practices were evident in all settings (urban, suburban, and rural indigenous communities), there were noticeable differences in gains in students' CT skills and practices between the three settings and additional research is needed in a diversity of settings to understand this difference.

Numerous studies have reported that socioeconomic status (SES) predicts language skills in typically developing children. However, this association has been less systematically studied in children with developmental disabilities, such as autism spectrum disorder (ASD) or other developmental delays (DD). In the present study, we examined the association between SES, operationalized as maternal education attainment and health insurance status, and receptive and expressive language skills in a sample of children from lower SES, racial/ethnic minority families at increased 'clinical risk' for ASD based on early screening. Neither maternal education attainment nor health insurance status were significantly associated with children's language skills. Expressive and receptive language skills were significantly higher in children with DD compared to children with ASD. Findings differ from previously published work, highlighting the importance of study replication. Further research is needed to understand why the association between SES and children's language skills might vary across samples.

The use of teacher leadership in PK-12 education has experienced a resurgence since the late 1990s as school leadership models have evolved to include the engagement of diverse stakeholders in school and district leadership processes aimed at improvement efforts. Despite this resurgence, there remain several barriers to understanding the nature of the work in which teacher leaders engage and the contributions that they make. This grounded theory study examined teacher perceptions of teacher leadership, the types of work in which teacher leaders do and should engage, the boundaries of that work, and barriers to teacher leadership. Leveraging interviews with teachers in a large urban school district, we found that teachers function in many domains of work and are eager for pathways to leverage their expertise, but some faced a lack of access to their school's leadership and management space. We conclude by discussing the implications from our findings for school- and district-level leaders, local and state policymakers, and educational leadership preparation programs.

Given the need for a swift, systematic way to identify students with internalizing and externalizing behavior patterns to connect these students with appropriate supports, we present new findings of the Student Risk Screening Scale--Internalizing and Externalizing (SRSS-IE). In this article, we examined (a) factor structure of the SRSS-IE and (b) the extent to which measurement invariance holds across gender, special education status, race, and ethnicity, as well as time point (fall, winter, spring) within each school level (elementary, middle, high). The sample includes 124 schools from four U.S. geographic regions in their first year of implementing the SRSS-IE collected over a 10-year span. Using confirmatory factor analysis procedures accounting for the nesting of students within teachers' classrooms, we confirmed a two-factor structure (internalizing and externalizing) and determined three items may be removed from the instrument while maintaining adequate model fit, pending replication with schools in later stages of screening implementation. All model comparisons between configural, metric, scalar, and strict models met invariance criteria within a time point. Longitudinal models also met these invariance criteria. We discuss educational implications, limitations, and directions for future research.

During economic recessions, state funding for higher education contracts (Delaney & Doyle, 2011; Hovey, 1999; SHEEO, 2022). Despite this reality, public higher education officials need to offer insights and explanations to state legislators about the current status of their institutions and their needs when discussing their budget requests. We use a multiple case-study design, framed by the narrative policy framework, to examine how campus officials in California and Texas justify their budget requests to the state legislature during the COVID-19 pandemic. Drawing on 131 h of transcribed legislative budget meetings and 62 documents, our findings suggest that higher education leaders emphasize the economic functions of higher education and center their ability to successfully manage during these uncertain and difficult times by highlighting improved or stable accountability measures such as enrollment, persistence, graduation, and job placement rates. During these budget requests, there are commonalities between the states regarding the structure, justifications, and narrative strategies used. However, higher education leaders evoked different narrative objects depending on the perceived values, beliefs, and norms of their state legislators.

Duchenne muscular dystrophy (DMD) results in a progressive loss of functional skeletal muscle mass (MM) and replacement with fibrofatty tissue. Accurate evaluation of MM in DMD patients has not previously been available. Our objective was to measure MM using the D3creatine (D3Cr) dilution method and determine its relationship with strength and functional capacity in patients with DMD over a wide range of ages. Subjects were recruited for participation in a 12 month, longitudinal, observational study. Here, we report the baseline data. A 20 mg dose of D3Cr dissolved in water was ingested by 92 patients with DMD (ages 4-25 years) followed later with a fasting urine sample. Enrichment of D3creatinine was determined by liquid chromatography-mass spectrometry analysis. The North Star Ambulatory Assessment (NSAA) total score was determined for ambulatory participants, and the Performance of Upper Limb (PUL 2.0) total score and grip strength for all participants. We observed a significant age-associated increase in body weight along with a substantial decrease in MM/body weight (%MM). MM and %MM were associated with PUL score (r = 0.517, P

The American black bear, Ursus americanus, is a widespread and ecologically important species in North America. In California, the black bear plays an important role in a variety of ecosystems and serves as an important species for recreational hunting. While research suggests that the populations in California are currently healthy, continued monitoring is critical, with genomic analyses providing an important surveillance tool. Here we report a high-quality, near chromosome-level genome assembly from a U. americanus sample from California. The primary assembly has a total length of 2.5 Gb contained in 316 scaffolds, a contig N50 of 58.9 Mb, a scaffold N50 of 67.6 Mb, and a BUSCO completeness score of 96%. This U. americanus genome assembly will provide an important resource for the targeted management of black bear populations in California, with the goal of achieving an appropriate balance between the recreational value of black bears and the maintenance of viable populations. The high quality of this genome assembly will also make it a valuable resource for comparative genomic analyses among black bear populations and among bear species.

Nanoparticle-mediated mRNA delivery has emerged as a promising therapeutic modality, but its growth is still limited by the discovery and optimization of effective and well-tolerated delivery strategies. Lipid nanoparticles containing charged or ionizable lipids are an emerging standard for in vivo mRNA delivery, so creating facile, tunable strategies to synthesize these key lipid-like molecules is essential to advance the field. Here, we generate a library of N-substituted glycine oligomers, peptoids, and undertake a multistage down-selection process to identify lead candidate peptoids as the ionizable component in our Nutshell nanoparticle platform. First, we identify a promising peptoid structural motif by clustering a library of >200 molecules based on predicted physical properties and evaluate members of each cluster for reporter gene expression in vivo. Then, the lead peptoid motif is optimized using design of experiments methodology to explore variations on the charged and lipophilic portions of the peptoid, facilitating the discovery of trends between structural elements and nanoparticle properties. We further demonstrate that peptoid-based Nutshells leads to expression of therapeutically relevant levels of an anti-respiratory syncytial virus antibody in mice with minimal tolerability concerns or induced immune responses compared to benchmark ionizable lipid, DLin-MC3-DMA. Through this work, we present peptoid-based nanoparticles as a tunable delivery platform that can be optimized toward a range of therapeutic programs.

IMPORTANCE: There are consistent data demonstrating that socioeconomic disadvantage is associated with risk of premature mortality, but research on the relationship between neighborhood socioeconomic factors and premature mortality is limited. Most studies evaluating the association between neighborhood socioeconomic status (SES) and mortality have used a single assessment of SES during middle to older adulthood, thereby not considering the contribution of early life neighborhood SES. OBJECTIVE: To investigate the association of life course neighborhood SES and premature mortality. DESIGN, SETTING, AND PARTICIPANTS: This cohort study included Black and White participants of the multicenter Atherosclerosis Risk in Communities Study, a multicenter study conducted in 4 US communities: Washington County, Maryland; Forsyth County, North Carolina; Jackson, Mississippi; and the northwestern suburbs of Minneapolis, Minnesota. Participants were followed up for a mean (SD) of 18.8 (5.7) years (1996-2020). Statistical analysis was performed from March 2023 through May 2024. EXPOSURE: Participants residential addresses during childhood, young adulthood, and middle adulthood were linked with US Census-based socioeconomic indicators to create summary neighborhood SES scores for each of these life epochs. Neighborhood SES scores were categorized into distribution-based tertiles. MAIN OUTCOMES AND MEASURES: Premature death was defined as all-cause mortality occurring before age 75 years. Multivariable-adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% CIs. RESULTS: Among 12 610 study participants, the mean (SD) age at baseline was 62.6 (5.6) years; 3181 (25.2%) were Black and 9429 (74.8%) were White; and 7222 (57.3%) were women. The lowest, compared with the highest tertile, of neighborhood SES score in middle adulthood was associated with higher risk of premature mortality (HR, 1.28; 95% CI, 1.07-1.54). Similar associations were observed for neighborhood SES in young adulthood among women (HR, 1.25; 95% CI, 1.00-1.56) and neighborhood SES in childhood among White participants (HR, 1.25; 95% CI, 1.01-1.56). Participants whose neighborhood SES remained low from young to middle adulthood had an increased premature mortality risk compared with those whose neighborhood SES remained high (HR, 1.25; 95% CI, 1.05-1.49). CONCLUSIONS AND RELEVANCE: In this study, low neighborhood SES was associated with premature mortality. The risk of premature mortality was greatest among individuals experiencing persistently low neighborhood SES from young to middle adulthood. Place-based interventions that target neighborhood social determinants of health should be designed from a life course perspective that accounts for early-life socioeconomic inequality.

RATIONALE: The alcohol cue exposure paradigm is a common method for evaluating new treatments for alcohol use disorder (AUD); however, it is unclear if medication-related reductions in cue-induced craving in the human laboratory can predict the clinical success of those medications in reducing alcohol consumption during clinical trials. OBJECTIVES: To use a novel meta-analytic approach to test whether medication effect sizes on cue-induced alcohol craving are associated with clinical efficacy in clinical trials. METHOD: We searched the literature for medications tested for AUD treatment using both the alcohol cue-reactivity paradigm and randomized clinical trials (RCTs). For alcohol cue-reactivity studies, we computed medication effect sizes for cue-induced alcohol craving (k = 36 studies, 15 medications). For RCTs, we calculated medication effect sizes for heavy drinking and abstinence (k = 139 studies, 19 medications). Using medication as the unit of analysis, we applied the Williamson-York bivariate weighted least squares estimation to account for errors in both independent and dependent variables. We also conducted leave-one-out cross validation simulations to examine the predictive utility of cue-craving medication effect sizes on RCT heavy drinking and abstinence endpoints. RESULTS: There was no significant relationship between medication effects on cue-induced alcohol craving in the human laboratory and medication effects on heavy drinking ( β ^ = 0.253, SE = 0.189, p = 0.090) and abstinence ( β ^ = 0.829, SE = 0.747, p = 0.133) in RCTs. CONCLUSIONS: The preliminary results of the current study challenge the assumption that alcohol cue-reactivity alone can be used as an early efficacy indicator for AUD pharmacotherapy development. These findings suggest that a wider range of early efficacy indicators and experimental paradigms be considered for Phase II testing of novel compounds.

Chlamydia trachomatis is the leading cause of bacterial sexually transmitted infections in the USA and of preventable blindness worldwide. This obligate intracellular pathogen replicates within a membrane-bound inclusion, but how it acquires nutrients from the host while avoiding detection by the innate immune system is incompletely understood. C. trachomatis accomplishes this in part through the translocation of a unique set of effectors into the inclusion membrane, the inclusion membrane proteins (Incs). Incs are ideally positioned at the host-pathogen interface to reprogram host signaling by redirecting proteins or organelles to the inclusion. Using a combination of co-affinity purification, immunofluorescence confocal imaging, and proteomics, we characterize the interaction between an early-expressed Inc of unknown function, Tri1, and tumor necrosis factor receptor-associated factor 7 (TRAF7). TRAF7 is a multi-domain protein with a RING finger ubiquitin ligase domain and a C-terminal WD40 domain. TRAF7 regulates several innate immune signaling pathways associated with C. trachomatis infection and is mutated in a subset of tumors. We demonstrate that Tri1 and TRAF7 specifically interact during infection and that TRAF7 is recruited to the inclusion. We further show that the predicted coiled-coil domain of Tri1 is necessary to interact with the TRAF7 WD40 domain. Finally, we demonstrate that Tri1 displaces the native TRAF7 binding partners, mitogen-activated protein kinase kinase kinase 2 (MEKK2), and MEKK3. Together, our results suggest that by displacing TRAF7 native binding partners, Tri1 has the capacity to alter TRAF7 signaling during C. trachomatis infection.IMPORTANCEChlamydia trachomatis is the leading cause of bacterial sexually transmitted infections in the USA and preventable blindness worldwide. Although easily treated with antibiotics, the vast majority of infections are asymptomatic and therefore go untreated, leading to infertility and blindness. This obligate intracellular pathogen evades the immune response, which contributes to these outcomes. Here, we characterize the interaction between a C. trachomatis-secreted effector, Tri1, and a host protein involved in innate immune signaling, TRAF7. We identified host proteins that bind to TRAF7 and demonstrated that Tri1 can displace these proteins upon binding to TRAF7. Remarkably, the region of TRAF7 to which these host proteins bind is often mutated in a subset of human tumors. Our work suggests a mechanism by which Tri1 may alter TRAF7 signaling and has implications not only in the pathogenesis of C. trachomatis infections but also in understanding the role of TRAF7 in cancer.

This article examines how U.S. immigration law extends into the health care safety net, enacting medical legal violence that diminishes noncitizens' health chances and transforms clinical practices. Drawing on interviews with health care workers in three U.S. states from 2015 to 2020, I ask how federal citizenship-based exclusions within an already stratified health care system shape the clinical trajectories of noncitizens in safety-net institutions. Focusing specifically on cancer care, I find that increasingly anti-immigrant federal policies often reshape clinical practices toward noncitizens with a complex, life-threatening condition as they approach a "specialty care cliff" by (1) creating time penalties that keep many noncitizens in a protracted state of injury and (2) deterring noncitizens from seeking care through threats of immigration enforcement. Through these processes, medical legal violence also creates the potential for moral injury among health care workers, who must adapt clinical practices in response to socio-legal boundaries of belonging.

Tobacco use disorder (TUD) is the most prevalent substance use disorder in the world. Genetic factors influence smoking behaviours and although strides have been made using genome-wide association studies to identify risk variants, most variants identified have been for nicotine consumption, rather than TUD. Here we leveraged four US biobanks to perform a multi-ancestral meta-analysis of TUD (derived via electronic health records) in 653,790 individuals (495,005 European, 114,420 African American and 44,365 Latin American) and data from UK Biobank (ncombined = 898,680). We identified 88 independent risk loci; integration with functional genomic tools uncovered 461 potential risk genes, primarily expressed in the brain. TUD was genetically correlated with smoking and psychiatric traits from traditionally ascertained cohorts, externalizing behaviours in children and hundreds of medical outcomes, including HIV infection, heart disease and pain. This work furthers our biological understanding of TUD and establishes electronic health records as a source of phenotypic information for studying the genetics of TUD.

This work introduces a simplified deposition procedure for multidimensional (2D/3D) perovskite thin films, integrating a phenethylammonium chloride (PEACl)-treatment into the antisolvent step when forming the 3D perovskite. This simultaneous deposition and passivation strategy reduces the number of synthesis steps while simultaneously stabilizing the halide perovskite film and improving the photovoltaic performance of resulting solar cell devices to 20.8%. Using a combination of multimodal in situ and additional ex situ characterizations, it is demonstrated that the introduction of PEACl during the perovskite film formation slows down the crystal growth process, which leads to a larger average grain size and narrower grain size distribution, thus reducing carrier recombination at grain boundaries and improving the device's performance and stability. The data suggests that during annealing of the wet film, the PEACl diffuses to the surface of the film, forming hydrophobic (quasi-)2D structures that protect the bulk of the perovskite film from humidity-induced degradation.