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Rurality in education research is a function of the size of the school, the distance of a school in relation to urban areas, and factors within each school that may differentiate the school community based on geography. Distance matters. This study finds variation between rural communities at different distances from an urban center and differences based on analysis of student groups and student outcomes within a locale. By taking a granulated geographic approach to rurality we can better compare differences within locales. This analysis of the distance a student lives from school highlights socioeconomic differences between student groups. One related measure is the degree to which income estimates explain variation in student outcomes. Out-of-town students in rural areas have lower family incomes. These income data explain fewer school-level student outcomes than for students who live near to school. Use of data pertinent to students who live near to school reflects a certain bias in poverty measures and may not include variation in family income of students at a distance from school.

Alternative poverty measures have been proposed in response to the emerging insufficiencies of the National School Lunch Program (NSLP) eligibility data. The analysis presented here involves seven poverty measures. Using outcome measures as a yardstick, we can assess how poverty measures explain these outcomes and note variations between geographical locales (assessing predictive validity). An analysis of 2019 data from Montana revealed that no poverty measure emerges as consistently meeting or exceeding the results found with the NSLP on the state level. Results are mixed based on locale (size) and distance from an urban centre, and within school communities.

In this study, we frame learning in the tertiary-level contemporary dance class as a process of developing culturally situated shared patterns of skilled action and attention through dynamic engagement with kinetic experience. Extending existing scholarship on dance learning, we adopt the framework of cultural affordances to understand the developmental relationship between physical and general categories of attention during the learning process. Based on qualitative analysis of student and teacher interviews, we contend that the dance classes were laboratories in which cross-domain mapping (physical and general) was leveraged to develop students' kinetic and attentional skills. Understood in this way, the physical concepts and the general concepts worked in a helical fashion, cycling through dynamic engagement with kinetic experience and the development of attentional awareness, not as pure repetition, but as a progression toward more complex, skilled, and nuanced ways of moving.

Understanding students' learning of knowledge components (KCs) is an important educational data mining task and enables many educational applications. However, in the domain of computing education, where program exercises require students to practice many KCs simultaneously, it is a challenge to attribute their errors to specific KCs and, therefore, to model student knowledge of these KCs. In this paper, we define this task as the KC attribution problem. We first demonstrate a novel approach to addressing this task using deep neural networks and explore its performance in identifying expert-defined KCs (RQ1). Because the labeling process takes costly expert resources, we further evaluate the effectiveness of transfer learning for KC attribution, using more easily acquired labels, such as problem correctness (RQ2). Finally, because prior research indicates the incorporation of educational theory in deep learning models could potentially enhance model performance, we investigated how to incorporate learning curves in the model design and evaluated their performance (RQ3). Our results show that in a supervised learning scenario, we can use a deep learning model, code2vec, to attribute KCs with a relatively high performance (AUC > 75% in two of the three examined KCs). Further using transfer learning, we achieve reasonable performance on the task without any costly expert labeling. However, the incorporation of learning curves shows limited effectiveness in this task. Our research lays important groundwork for personalized feedback for students based on which KCs they applied correctly, as well as more interpretable and accurate student models.

Identifying motivation for enrollment in MOOCs has been an important way to predict participant success rates. But themes for motivation have largely centered around themes for enrolling in any MOOC, and not ones specific to the course being studied. In this study, qualitatively coding discussion forums was combined with topic modeling to identify participants' motivation for enrolling in two successive statistics education professional development online courses. Computational text mining, such as topic modeling, is a learning analytics field that has proven effective in analyzing large volumes of text to automatically identify topics or themes. This contrasts with traditional qualitative approaches, in which researchers manually apply labels (or codes) to parts of text to identify common themes. Combining topic modeling and qualitative research may prove useful to education researchers and practitioners in better understanding and improving online learning contexts that feature asynchronous discussion. Three topic modeling approaches were used in this study, including both unsupervised and semi-supervised modeling techniques. The three topic modeling approaches were validated and compared to determine which participants were assigned motivation themes that most closely aligned to their posts made in an introductory discussion forum. A discussion of how each technique can be useful for identifying topical themes within discussion forum data is included. Though the three techniques have varying success rates in identifying motivation for enrolling in the MOOCs, they do all identify similar themes for motivation that are specific to statistics education.

To understand the effect of library science coursework on student perceptions of issues related to intellectual freedom, researchers surveyed students at the start and end of their enrollment in a Master of Library Science program. When the results were compared, the percentage of graduating students who indicated that they might rethink purchasing a resource because of non-age-appropriate content and potential parent objection was significantly higher than that of beginning students. The percentage of graduating students who identified sexual content and profanity as potential reasons not to acquire an item was also significantly higher than that of beginning students. On the other hand, graduating students were less likely to classify their own personal views as potential reasons to avoid collecting a title. Finally, a greater percentage of graduating students were uncertain about the appropriateness of restricted collections for potentially controversial items than beginning students. In the second phase of the study, researchers interviewed program graduates with at least five years of professional experience in libraries to ascertain how their work experiences and environments had affected their perception of intellectual freedom, censorship, and the right of access to information regardless of age. These librarians were strong advocates for diverse collections despite increasing external pressure to censor resources, particularly items with LGBTQ content and characters. Most felt it necessary to have some type of restricted collections so that children did not check out material above their grade or age level.

The earthquakes which struck Nepal's capital in 2015 were humanitarian disasters. Not only did they inflict tragic loss of life and livelihoods, they also destroyed parts of the Kathmandu Valley's unique UNESCO World Heritage site. These monuments were not just ornate structures but living monuments playing central roles in the daily lives of thousands, representing portals where the heavens touch earth and people commune with guiding deities. Their rehabilitation was also of economic importance as they represent a major source of tourist income and employment. Unfortunately, the social and political desire for rapid reconstruction resulted in the swift removal of many traditionally constructed foundations and their replacement with modern materials without assessments of whether they contributed towards the collapse of individual monuments. These actions, combined with the wholesale removal, mixing and dumping of modern and historic debris, contributed to a second, equally destructive, cultural catastrophe -- irreversible damage to Kathmandu's Medieval fabric, in a process which frequently excluded local communities and custodians. This case study draws from our collective reflections and lessons learned from our attempts to enable equitable and ethical research partnerships between UK and Nepali colleagues as well as local communities in the debris of the Kasthamandap, Kathmandu's eponymous monument. After briefly describing the potential of mobilising archaeologists in post-disaster contexts and outlining the challenges of undertaking research in such a setting, our case study utilises the TRUST Code to assess the character and success of our multidisciplinary collaboration in a time of crises.

This study investigates the role of embodiment when learning a technical procedure in immersive virtual reality (VR) by introducing a framework based on immersion and interactivity. The goal is to determine how increasing the levels of immersion and interactivity affect learning experiences and outcomes. In a 2 × 2 factorial design, 177 high school students were assigned to one of four experimental conditions, varying levels of immersion (learning in immersive virtual reality wearing a head-mounted display (VR) vs. learning via a computer screen (PC)) and interactivity (directly manipulating objects using controllers/mouse and keyboard (congruent) vs. indirectly manipulating objects with a laser pointer to select a course of action (incidental)). The main outcome measure was a transfer task in which students were required to perform the task they had learned in the virtual environment using concrete objects in real life. Results demonstrated that students in the VR conditions experienced significantly higher levels of presence, agency, location, body ownership, and embodied learning compared to participants in the PC conditions. Additionally, students' performance during the virtual lesson predicted their real-life transfer test. However, there were no significant effects of immersion or interactivity on any of the transfer measures. The results suggest that high immersion in VR can increase self-reported measures of presence, agency, location, body ownership, and embodied learning among students. However, increased embodiment--manipulated by adding immersion and congruent manipulation of objects did not improve transfer.

In this article, the authors illustrate how teachers use a strength based, culturally responsive Response to Intervention (RTI) framework to meet the varied needs of a culturally diverse, twice-exceptional student. Using a case-based approach, the authors demonstrate how classroom teachers and specialists collaborate with the student and her family to create an individualized system of supports designed to nurture the student's gifted potential while simultaneously addressing her cultural needs and learning disabilities. Using a hypothetical case, a student's curiosity about her Puerto Rican heritage and multiracial identity becomes the central focus as teachers build a thematic unit of instruction that honors her ancestors. As the student learns about her Indigenous Taíno and African heritage, she is taught to use specific evidence-based learning strategies to improve her memory, study skills and build on her curiosity and multilingual strengths. Throughout the article, the authors provide explicit examples of how to create a culturally responsive RTI plan for a diverse twice-exceptional student.

To minimize negative interactions and their impacts, teachers and students must successfully negotiate loaded moments, points in time when two or more parties realize that their needs differ and that they must confront that difference. In this literature review, we synthesize 30 studies, published from 2000 to 2020, that describe the evolution of loaded moments between teachers and students with the goal of identifying and explicating the co-construction of escalation and de-escalation during classroom interactions. We found that macro level social contexts and existing classroom patterns set the scene for the occurrence of a loaded moment. In addition, loaded moments emerge when specific instigating circumstances are co-constructed, which refer to incompatibilities between teacher and student(s). Furthermore, loaded moments (de)escalate, depending on the co-construction of the moment as it progresses, such as through mutual trade-offs, turnings, or refusals. Finally, these co-constructions can result in a specific long-term relationship- and bond-development. Implications of these findings for research concerning student-teacher conflict are discussed.

This paper presents the process of conducting a community-wide needs assessment that initially focused on soliciting information about childcare needs of families with school-aged children. The researchers were interested in understanding whether the method designed to conduct the needs assessment helped to foster collaboration, trust, and increased participation amongst multiple levels of stakeholders and subcommunities. Utilizing community-based participatory research principles, the authors will present a 3-phase approach to gaining community support through multiple levels of stakeholder engagement. While initially the needs assessment was focused on childcare, the scope broadened to learning about other needs that families with school-aged children faced. The strategic use of Survey Ambassadors throughout the community who could access families that were typically underrepresented and could provide feedback to the researchers in real time regarding modifications to the process was vital. Lessons learned included the need for further investigation into strategic methods for gaining family voices in underrepresented populations.

Intelligence-led policing (ILP) was introduced in the 1990s as a proactive approach to policing, but to date, there is a lack of studies that have synthesized and summarized the central characteristics and insights of (quasi-)experimental studies related to ILP. This study aims to address this gap by synthesizing and characterizing the central characteristics of 38 quasi-experimental and experimental studies related to ILP. In this study, a scoping review is conducted on different quasi-experimental and experimental studies that relate to the framework of ILP. It was found that most studies within the domain of ILP focus on testing the crime reduction effects of using spatio-temporal crime intelligence to deploy police resources more efficiently and effectively. However, some studies have combined different types of crime intelligence or used solely offender-related intelligence. Several statistical-methodological challenges were also identified that should be considered when designing experimental research w

For many Latinx at-promise youth, college is a critical and high-stakes form of aspirational wealth (Yosso, 2005), one that offers a path to "get out" (Brandehoff, 2020) of their current circumstances and circumvent a life of difficult choices. To get there, one must not only navigate personal and societal barriers, but also navigate graduating from high school and cultivating systems of support such as mentorships. In 2020, a qualitative study to understand the phenomena of informal mentoring took place in a rural area in a western state, demarcated by gang violence, poverty, and a largely Latinx immigrant population (Brandehoff, 2020). In this study, five rural, Latinx, gang-affiliated youth shared their stories of political, economic, and racialized oppressions that they faced and the difficult decisions they had to make growing up in a gang-impacted community. With no formal mentoring programs available to them, these youth utilized their navigational wealth (Yosso, 2005) to cultivate informal mentorships (Timpe & Lunkenheimer, 2015) with members of their family and community to help guide their choices and to find alternate endings to their once predetermined stories. This article will focus on one of these stories and offer suggestions on how community-based mentoring practices can provide at-promise youth a pathway to higher education.

Rich oral language practices, including the opportunity and ability to participate in cognitively and linguistically challenging extended discourse, are foundational to early literacy development. To meet children's needs in their first exposure to the languages of schooling, educators may engage students in extended discourse multilingually. The current study focuses on student-centered translanguaging conversations to examine strategies that preschool teachers employ to support young children's emerging bilingual and biliteracy development in a Mandarin immersion preschool serving primarily non-heritage learners of Mandarin in the United States. Findings indicate that, despite the school's Mandarin-only policy, teachers engaged in covert translanguaging practices to extend and deepen discourse. Specifically, teachers used 13 discourse strategies across two critical areas of schooling: translanguaging for (1) socializing students not just into the Mandarin language but into the norms of schooling; and (2) focusing not just on Mandarin language but also on content area learning. The study concludes with implications for schools and teachers.

Racial biases, which harm marginalized and excluded communities, may be combatted by clarifying misconceptions about race during biology lessons. We developed a human genetics laboratory activity that challenges the misconception that race is biological (biological essentialism). We assessed the relationship between this activity and student outcomes using a survey of students' attitudes about biological essentialism and color-evasive ideology and a concept inventory about phylogeny and human diversity. Students in the human genetics laboratory activity showed a significant decrease in their acceptance of biological essentialism compared with a control group, but did not show changes in color-evasive ideology. Students in both groups exhibited increased knowledge in both areas of the concept inventory, but the gains were larger in the human genetics laboratory. In the second iteration of this activity, we found that only white students' decreases in biological essentialist beliefs were significant and the activity failed to decrease color-evasive ideologies for all students. Concept inventory gains were similar and significant for both white and non-white students in this iteration. Our findings underscore the effectiveness of addressing misconceptions about the biological origins of race and encourage more research on ways to effectively change damaging student attitudes about race in undergraduate genetics education.

Early literacy skill development predicts later reading success, and development of skills in specific domains during the preschool years has been established as both a prerequisite and precursory for reading. Early literacy assessments typically include measures of separate skills across domains, and results can assist with determining where instructions may be most needed. When multiple areas of need are identified, understanding which skills to prioritize can be a challenge. Therefore, empirically identifying the relative contribution of each skill measured in preschool to subsequent reading success can promote more efficient systems of assessment. This study, conducted in the United States, examined the predictive validity of early literacy skills measured in preschool compared to skills measured in kindergarten, with a specific practical focus on identifying the most efficient predictive model for understanding reading readiness. Participants were 119 preschoolers (mean age = 66 months) who mostly spoke English as their primary language (79%). Results indicated early literacy and language skills in preschool are highly predictive of early reading in kindergarten, accounting for 59% of the variance in a reading composite score. The most parsimonious model indicated that first sounds, letter sounds, early comprehension, and expressive vocabulary measures adequately explained 52% of the variance in children's kindergarten reading performance.

Early warning systems (EWS) using analytical tools that have been trained against prior years' data, can reliably predict dropout risk in individual students so that educators may intervene early to help avert this from happening. Risk profiles for dropouts aren't always useful since students often do not conform to the profiles. Researchers with the Montana Office of Public Instruction developed objective, evidence-based indicators that respond to student context. These indicators show when a student may be at risk and provide signs of when to intervene.

Purpose: The purpose of this study was to investigate the various factors that may contribute to the academic self-concept of autistic college students, including the potential influence of academic success. Methods: A sample of autistic participants (n = 12) were interviewed regarding autistic college students' experiences. Transcripts were analyzed using a modified grounded theory approach. Results: Most students had a positive academic self-concept due to factors like major selection based on passion and interest, following family values, personal motivation to do well, proving someone wrong, and striving for high academic achievement. Although accommodations were not the main focus of the study, they were found to affect student academic self-concept as well. Conclusion: Post-secondary institutions should consider incorporating intervention and support programs that assist in improving neurodiverse students' self motivation and self regulation skills to encourage these students to be academically successful while maintaining their well-being. They should also provide professional development initiatives aimed at enhancing the capacity of faculty and staff to address the unique needs of autistic students and ensure the successful implementation of accommodations. This approach will contribute to a more inclusive and supportive learning environment for autistic college students, promoting their academic success and well-being.

Early adolescent children communicate on smartphones and social media, resulting in online sexual risks and potential adverse health outcomes. This study investigated parents' awareness of early adolescent engagement in online sexual risks on smartphones and social media and the protective practices used to mitigate these risks. Semi-structured interviews were conducted with 15 English-speaking parents of early adolescent children 11-14 years old in North and South Carolina. Data were analyzed using a qualitative descriptive approach and thematic analysis. Parents expressed awareness of online sexual risks on smartphones and social media and engaged in protective practices to mitigate online risks, including communication and restrictions tailored to accessed content and social connections with unknown individuals online. Professionals can support parents through education targeted to risks and protective measures associated with these online devices and platforms.

Underdeveloped reading comprehension skills can limit academic success; a particular challenge for English language learners (ELLs). The current study investigated whether a web-based text structure strategy, delivered via the Intelligent Tutoring of Structure Strategy (ITSS) program to adult Chinese ELLs, improved students' use of reading strategies and/or overall reading comprehension. Using a quasi-experimental nonequivalent control group design, 207 adult Chinese ELLs from four classes were assigned to intervention or control groups. The intervention group utilized the ITSS to support their English reading instruction, whereas the control group was exposed to only traditional instruction. Our results indicate that the ITSS intervention had a statistically significant positive effect on adult Chinese ELLs' reading comprehension ([beta] = 3.07, p < 0.001) with Cohen's d = 0.43, as measured by the College English Test--4 (CET-4). Furthermore, we found that Chinese ELLs reported using more higher-order reading strategies (p < 0.01) after the intervention and there was no significant change of reported reading strategy usage for the control group from pretest and post-test. However, the current study did not provide evidence that the change in use of reading strategies mediated the relationship between the intervention/control condition and Chinese ELLs' reading comprehension.

This descriptive study focuses on using voice activity detection (VAD) algorithms to extract student speech data in order to better understand the collaboration of small group work and the impact of teaching assistant (TA) interventions in undergraduate engineering discussion sections. Audio data were recorded from individual students wearing head-mounted noise-cancelling microphones. Video data of each student group were manually coded for collaborative behaviours (eg, group task relatedness, group verbal interaction and group talk content) of students and TA-student interactions. The analysis includes information about the turn taking, overall speech duration patterns and amounts of overlapping speech observed both when TAs were intervening with groups and when they were not. We found that TAs very rarely provided explicit support regarding collaboration. Key speech metrics, such as amount of turn overlap and maximum turn duration, revealed important information about the nature of student small group discussions and TA interventions. TA interactions during small group collaboration are complex and require nuanced treatments when considering the design of supportive tools.

This empirical study evaluates the impact of faculty training in online teaching on perceived comfort, perceived effectiveness, and stress during the Emergency Transition to Online Learning (ETOL) caused by COVID-19. Survey data revealed a positive relationship between training in online teaching and perceived effectiveness during the ETOL. However, this relationship is fully mediated by perceived comfort in teaching online, meaning training in online teaching significantly increased faculty perceived comfort, which in turn increased perceived effectiveness. Relative to their counterparts, faculty who agreed that the ETOL was stressful were significantly more likely to cite working from home distractions and a lack of physical resources as the greatest challenges. Going forward, our results suggest faculty should be trained in best practices in online teaching as a regular part of their development. Doing so would not only benefit online courses, but the tools used in online courses can also benefit faculty teaching in-person courses. The emerging tools used in online courses can also serve to enhance teaching in emerging, technology-based disciplines in business, such as digital marketing or business analytics. In addition to ongoing training, another best practice to prepare for a future ETOL would be to allow business school faculty to share what they have learned with other business faculty.

Despite agreement that teaching on professional boundaries is needed, the design of health profession curricula is challenged by a lack of research on how boundaries are maintained and disagreement on where boundaries should be drawn. Curricula constrained by these challenges can leave graduates without formal preparation for practice conditions. Dual role or overlapping relationships are an example: they continue to be taught as boundary crossings amidst mounting evidence that they must be routinely navigated in small, interconnected communities. In this study, we examined how physicians are navigating overlapping personal (non-sexual) and professional relationships with the goal to inform teaching and curricula on professional boundaries. Following constructivist grounded theory methodology, 22 physicians who had returned to their rural, northern and/or remote hometown in British Columbia, Canada or who had lived and practised in a such a community for decades were interviewed in iterative cycles informed by analysis. We identified four strategies described by physicians for regulating multiple roles within overlapping relationships: (a) "signalling" the appropriate role for the current context; (b) "separating" roles by redirecting an interaction to an appropriate context; (c) "switching" roles by pushing the appropriate role forward into the context and pulling other roles into the background; and (d) "suspending" an interfering role by ending a relationship. Negotiating boundaries within overlapping relationships may involve monitoring role clarity and role alignment, while avoiding role conflict. The enacted role regulation strategies could be critically assessed within teaching discussions on professional boundaries and also analyzed through further ethics research.

There is a longstanding discussion in child theology around the role of cognition for faith formation. This article explores research in the area of disability theology in order to examine potential benefits for Christian ministry to the child. It suggests three areas which may be profitable: the importance of increasing information to accompany development; the importance of the role of the teacher as embodiment and model of discipleship; and the requirement to give better account for ritualised processes within evangelical children's ministry.

The objective of this meta-epidemiological study was to explore the impact of attrition rates on treatment effect estimates in randomised trials of chronic inflammatory diseases (CID) treated with biological and targeted synthetic disease-modifying drugs. We sampled trials from Cochrane reviews. Attrition rates and primary endpoint results were retrieved from trial publications; Odds ratios (ORs) were calculated from the odds of withdrawing in the experimental intervention compared to the control comparison groups (i.e., differential attrition), as well as the odds of achieving a clinical response (i.e., the trial outcome). Trials were combined using random effects restricted maximum likelihood meta-regression models and associations between estimates of treatment effects and attrition rates were analysed. From 37 meta-analyses, 179 trials were included, and 163 were analysed (301 randomised comparisons; n = 62,220 patients). Overall, the odds of withdrawal were lower in the experimental compared to control groups (random effects summary OR = 0.45, 95% CI, 0.41-0.50). The corresponding overall treatment effects were large (random effects summary OR = 4.43, 95% CI 3.92-4.99) with considerable heterogeneity across interventions and clinical specialties (I2 = 85.7%). The ORs estimating treatment effect showed larger treatment benefits when the differential attrition was more prominent with more attrition in the control group (OR = 0.73, 95% CI 0.55-0.96). Higher attrition rates from the control arm are associated with larger estimated benefits of treatments with biological or targeted synthetic disease-modifying drugs in CID trials; differential attrition may affect estimates of treatment benefit in randomised trials.

Purpose, Objective, Research Question, or Focus of Study: This paper seeks to understand the withdrawal patterns of students enrolled in an urban community college during the COVID-19 outbreak, by focusing on what students voiced about what made college-going so challenging for them from spring 2020 to fall 2021. What was revealed about their decisions to withdraw offers some important considerations for those who work with first-generation, economically and academically fragile college students throughout the higher education landscape. To contextualize our findings, we draw on some of the writings of educators who have shaped our own pedagogical practices. Research Design: We interviewed 14 students on Zoom--some in small focus groups and others one-on-one--who had withdrawn from at least one course up to an entire semester. Conclusions or Recommendations: Our findings suggest that we take stock of the pre-existing precarities of many students that have been illuminated, carefully balancing what students have voiced about what they need with the very real structural constraints that make "good teaching" difficult to sustain. A salient theme, one that we had not expected, is what students expressed about what good teaching is to them and how much it mattered. This raises not only important pedagogical questions but also structural ones. How do our institutions create the conditions (or not) for good teaching, as defined by students?

Little is known about the parenting experiences of autistic mothers, yet there is reason to believe that autistic mothers of non-autistic daughters have a unique set of experiences, especially during their daughters' adolescence. Seven autistic mothers of adolescent (n = 5) and adult (n = 2) non-autistic daughters were interviewed about their experiences of raising their daughters during adolescence. Data were analyzed using an Interpretative Phenomenological Analysis (IPA) approach and four superordinate themes were identified: (1) Closeness in relationships (expressed affection, safety and support, understanding mothers' autism), (2) Parenting strengths (problem-solving skills, positive strategies for managing conflict), (3) Identifying own social challenges (understanding social dynamics, friendships and social groups), and (4) Building daughters' social skills (concern about daughters' social development, creating opportunities for positive social interactions). This research highlights the strengths of autistic mothers and the loving relationships they have with their daughters. Mothers in this study also revealed specific challenges, such as interacting with other parents who often ignored or excluded them. This study, therefore, emphasizes the need for greater societal awareness, understanding, acceptance, and inclusion of the autistic community.

Occupational burnout among special education teachers results in increased attrition, and lower student and teacher outcomes. The purpose of this quantitative correlational study was to establish a framework of occupational burnout within special education and adaptive leadership theory. The quantitative correlational study surveyed K-12 special education teachers who taught during the COVID-19 pandemic. Sixty-seven eligible respondents completed the online survey including demographics, Maslach Burnout Inventory Educators Survey, Adaptive Leadership with Authority Scale, and sections of Pandemic Experiences and Perceptions Survey. A statistical correlation between teacher occupational burnout and adaptive leadership indicated supervisors using adaptive leadership strategies had less teacher attrition.

The use of professional internships has long been a defining feature of journalism and mass communication programs, but the practice is also increasingly controversial for the financial burdens it places on marginalized students. This study examined accreditation reports for 120 institutions to gain a better understanding of current practices. Findings showed that almost all universities offer internships for credit, and about two fifths of the programs require them. Most programs use internship data to assess student learning outcomes.

Social justice is increasingly being seen as relevant to the science curriculum. We examine the intersection of participatory science, social justice, and higher education in the United States to investigate how instructors can teach about social justice and enhance collaborations to work toward enacting social justice. Participatory science approaches, like those that collect data over large geographic areas, can be particularly useful for teaching students about social justice. Conversely, local-scale approaches that integrate students into community efforts can create powerful collaborations to help facilitate social justice. We suggest a variety of large-scale databases, platforms, and portals that could be used as starting points to address a set of learning objectives about social justice. We also describe local-scale participatory science approaches with a social justice focus, developed through academic and community partnerships. Considerations for implementing participatory science with undergraduates are discussed, including cautions about the necessary time investment, cultural competence, and institutional support. These approaches are not always appropriate but can provide compelling learning experiences in the correct circumstances.

This study extends prior research by manipulating both intervention and skill difficulty using a multiple baseline across participants design with changing phases in a virtual tutoring environment. Participants were four U.S. students from third and fifth grades for whom appropriate and challenging instructional targets were selected following diagnostic assessment using curriculum-based measurement. Instructional strategies were selected to align or misalign with those instructional targets. The multiple baseline design was used to determine the functional relationship between the instructional strategies (acquisition or fluency-building) with appropriate and challenging skills. Results suggested that indicated intervention strategies aligned with students' skill proficiency resulted in improvements but that contraindicated intervention strategies that were misaligned with students' skill proficiency did not. Furthermore, most students rated the contraindicated intervention strategies as less acceptable or reported higher levels of math anxiety.

Introduction Human exposure to the >42,000 chemicals in active commerce in the United States, many of which are known or suspected to be toxic, is a source of increasing concern. [...], BACKGROUND: The prevalence of toxic chemicals in US commerce has prompted some states to adopt laws to reduce exposure. One with broad reach is California&apos;s Proposition 65 (Prop 65), which established a list of chemicals that cause cancer, developmental harm, or reproductive toxicity. The law is intended to discourage businesses from using these chemicals and to minimize consumer exposure. However, a key question remains unanswered: Has Prop 65 reduced population-level exposure to the listed chemicals? OBJECTIVE: We used national biomonitoring data from the Centers for Disease Control and Prevention (CDC) to evaluate the impact of Prop 65 on population-level exposures. METHODS: We evaluated changes in blood and urine concentrations of 37 chemicals (including phthalates, phenols, VOCs, metals, PAHs, and PFAS), among US National Health and Nutrition Examination Survey (NHANES) participants in relation to the time of chemicals&apos; Prop 65 listing. Of these, 11 were listed prior to, 11 during, and 4 after the biomonitoring period. The remaining 11 were not listed but were closely related to a Prop 65-listed chemical. Where biomonitoring data were available from before and after the date of Prop 65 listing, we estimated the change in concentrations over time for Californians compared with non-Californians, using a difference-in-differences model. We used quantile regression to estimate changes in exposure over time, as well as differences between Californians and non-Californians at the 25th, 75th, and 95th percentiles. RESULTS: We found that concentrations of biomonitored chemicals generally declined nationwide over time irrespective of their inclusion on the Prop 65 list. Median bisphenol A (BPA) concentrations decreased 15% after BPA&apos;s listing on Prop 65, whereas concentrations of the nonlisted but closely related bisphenol S (BPS) increased 20% over this same period, suggesting chemical substitution. Californians generally had lower levels of biomonitored chemicals than the rest of the US population. DISCUSSION: Our findings suggest that increased scientific and regulatory attention, as well as public awareness of the harms of Prop 65-listed chemicals, prompted changes in product formulations that reduced exposure to those chemicals nationwide. Trends in bisphenols and several phthalates suggest that manufacturers replaced some listed chemicals with closely related but unlisted chemicals, increasing exposure to the substitutes. Our findings have implications for the design of policies to reduce toxic exposures, biomonitoring programs to inform policy interventions, and future research into the regulatory and market forces that affect chemical exposure. https://doi.org/10.1289/EHP13956