Search

The Resource Centers for Minority Aging Research (RCMAR) is a flagship education, training, and development program of the National Institute of Health (NIH), and the National Institute on Aging (NIA) focused on increasing the number and diversity of researchers in aging. We sought to assess the program's contributions to geriatric and gerontology education by examining the scientific productivity of 294 RCMAR scientists who received pilot funding from the program during the last complete grant cycle, 2018 to 2023. Across the 18 funded sites, the scientists obtained 53 NIH grants and 29 NIA-specific grants. They published 281 manuscripts, of which 141 were noted as direct outcomes of the pilot funding and support received through the program. Findings indicated that the RCMAR program in its last cycle succeeded in promoting education and scientific career development of researchers from diverse backgrounds and researchers focused on health disparities to conduct transdisciplinary social and behavioral aging research.

Abstract: School climate surveys are frequently used to collect information about student experiences in school. Less is known about how educators use survey data after survey administration. This paper explores one school district’s critical use of evidence to promote equitable change. We conducted eight semi-structured interviews with district and school leaders to investigate their uses of evidence. Through our qualitative, reflexive thematic analysis, we generated six themes: (1) using evidence to provide a common language; (2) bringing attention to trends to shift staff understanding of problems, (3) making structural changes, (4) planning for professional learning, (5) following up directly with students, and (6) engaging with the community. Findings illustrate how education leaders can apply a critical lens to their generation and use of evidence. We explore how the strategic use of evidence is needed to advance the broader goal of fostering school change and improving school climate for all students.

Much of the literature that examines critical science agency (CSA) focuses on how students enact their CSA to support knowledge construction and agentic action. Few studies, however, address how science curricula can be specifically designed to support students in exercising their CSA. In this study, I examine features of a community-based science (CBS) curricular design that engages students in justice-oriented science learning to advance their CSA. More specifically, I analyze the design and structure of an environmental science elective course to investigate features of CBS curricular design that support students in exercising their CSA, including: (1) leveraging learning goals to create community change, (2) developing students’ toolkits, (3) cultivating spaces for advocacy and critical hope, and (4) critical and ongoing reflection. The findings suggest that science curriculum can be purposefully designed to assist students in exercising their CSA through generative learning experiences that empower them as community change agents. As we move toward more equity and justice-centered science learning, I recommend that future science curricula take community-based science approaches to design, structuring learning around students’ CSA by attending to how formal science learning can be used as an avenue to support community change.

Students come to science classrooms with ideas informed by their prior instruction and everyday observations. Following constructivist pedagogy, assessments that encourage students to elaborate their ideas, distinguish among them, and link the most promising ones can capture students' potential and help teachers plan their lessons. In this investigation, we study an assessment that engages students in a dialog to refine their response to a Knowledge Integration (KI) question. Our Research Practice Partnership (RPP) initially trained a Natural Language Processing (NLP) idea detection model on 1218 student responses from 5 schools and identified 13 student ideas. The original model had an overall micro-averaged F-score of 0.7634. After classroom testing, three RPP expert teachers with 10+ years of experience reviewed the classroom data and expanded the model, adding six additional ideas including two that they described as precursor ideas because they foreshadowed more sophisticated reasoning. We trained the idea detection model on these 19 ideas using a dataset from 13 teachers and 1206 students across 8 public schools. The updated model had a somewhat lower overall micro-averaged F-score of 0.7297. The two precursor ideas were among the top four detected ideas. The assessment, using the updated model, guided students to express significantly more ideas. A regression model showed that the updated model was associated with greater KI score gains. Expanding the model, thus, created an assessment that motivated students to express more ideas and to achieve higher KI scores. It also provides teachers with deeper insights into their students' understanding of science.

Few studies have reported outcomes from the delivery of naturalistic developmental behavioral interventions (NDBI) in group-based community care. Further, while the importance of inclusion for autistic individuals is well established, there is little research on the feasibility of community-based inclusion programs for preschool-aged autistic children. Positive outcomes have been reported from a few model inclusion programs. However, most involved extensive training from researchers, with limited available data on self-sustaining community-based programs. This quasi-experimental study tracked outcomes for 31 autistic preschool-aged children with verbal and play skills close to age level, who were enrolled in a community inclusion preschool program utilizing NDBI. Children, aged 2.5 to 5 years of age at entry, attended the program for 8 to 36 months. Paired sample t-tests indicated statistically significant improvements from time 1 to time 2 on standardized measures of adaptive behavior, social skills, and autism characteristics. Implications for the feasibility of using NDBI for autistic children in inclusive preschool settings and directions for future research are discussed.

Abstract: How do teachers develop and use political knowledge to create equitable and inclusive conditions for and with disabled students, particularly disabled students of color? In this essay, we build on concepts of political teacher knowledge in mathematics education, critical inclusive mathematics education and disability studies to explore teacher knowledges that support disabled students’ mathematical learning. We focus on four aspects of political knowledge for teaching mathematics: (1) knowledge as relational and unfolding over time, (2) understanding and negotiating the political contexts in which we teach mathematics, (3) deconstructing deficit discourses about marginalized students, and (4) learning to creatively resist the systems for and with our students. To develop our theoretical analysis, we use a counterstory of a middle school Latino student named Luis and his Latina mathematics teacher, Ms. Marquez. Our aim is to open up discussions in mathematics teacher educational research about the politics at play in teaching inclusive mathematics.

Although improving racial equity in critical college courses such as introductory statistics is a laudable goal, making research-based progress toward that aim in a scalable manner remains a challenge. To translate psychological insights to benefit racially marginalized students, we implemented the “Better Book” approach, where instructors, researchers, and developers work together to improve an online textbook used in introductory statistics. The “Better Book” approach to equity assumes that racially marginalized students are a “canary in the coal mine”, alerting us to systemic issues that can affect a broader array of students. We started by finding places in the textbook where racially marginalized students reported higher perceptions of costs (the effort and time required to learn the content) than non-marginalized students. Then we drew upon suggestions from users to redesign the textbook where gaps in cost perceptions peaked. We then analyzed data from both the original and redesigned versions of the textbook to evaluate the impact on students who were subsequently enrolled in the course. Results showed that perceptions of cost were dramatically reduced in the experience of racially marginalized students but also the redesign resulted in an improved experience for all students.

This paper describes a Human-Centred Learning Analytics (HCLA) design approach for developing learning analytics (LA) dashboards for K-12 classrooms that maintain both contextual relevance and scalability—two goals that are often in competition. Using mixed methods, we collected observational and interview data from teacher partners and assessment data from their students' engagement with the lesson materials. This DBR-based, human-centred design process resulted in a dashboard that supported teachers in addressing their students' learning needs. To develop the dashboard features that could support teachers, we found that a design refinement process that drew on the insights of teachers with varying teaching experience, philosophies and teaching contexts strengthened the resulting outcome. The versatile nature of the approach, in terms of student learning outcomes, makes it useful for HCLA design efforts across diverse K-12 educational contexts. Practitioner notes What is already known about this topic Learning analytics that are aligned to both a learning theory and learning design support student learning. LA dashboards that support users to understand the associated learning analytics data provide actionable insight. Design-based research is a promising methodology for Human-Centred Learning Analytics design, particularly in the K-12 educational context. What this paper adds Leveraging a longstanding, yet fluid, research-practice partnership is an effective design-based research adaptation for addressing the high variation in instructional practices that characterize K-12 education. Using both quantitative and qualitative data that reflects students' developing knowledge effectively supports teachers' inquiry into student learning. Teachers' use of learning analytics dashboards is heavily influenced by their perspectives on teaching and learning. Implications for practice and/or policy Impact on student learning outcomes, alongside usability and feasibility, should be included as a necessary metric for the effectiveness of LA design. LA dashboard developers should both leverage learning data that reflect students' developing knowledge and position teachers to take responsive pedagogical action to support student learning. LA researchers and developers should utilize a long-term, yet fluid, research-practice partnership to form a multi-stakeholder, multidisciplinary design team for Human-Centred Learning Analytics design.

Abstract: While a substantial body of work has shown that higher-SES students tend to apply to more selective colleges than their lower-SES counterparts, we know relatively less about why students differ in their application behavior. In this study, we draw upon a sociological approach to educational stratification to unpack the SES-based gap in college application selectivity. Using data from the High School Longitudinal Study of 2009, we examine the contribution of theoretical factors to the class-based gap in the selectivity of college applications. Namely, from the rational action model we estimate the contribution of performance differentials and choice differentials, while from the status attainment model we look at the level and type of educational expectations as well as the number of applications submitted. Through a series of Heckman selection models, as well as a Blinder-Oaxaca decomposition analysis, we can explain 85% of the gap in college application selectivity between students in the top and bottom SES quintiles. In turn, we estimate that 60% of this explained portion is due to rational action mechanisms such as grades and test scores while 35% is due to status attainment mechanisms. Finally, we reveal that SES moderates the relationship between type of expectations and application selectivity. We find that the payoff to higher expectations (in terms of selective applications) disproportionately accrues to higher-SES students.

Abstract: Instructional practices in science education often create dichotomies of “expert” and “outsider” that produce distinct power differences in classrooms. Building upon the idea of “making present practice” to disrupt these binaries, this paper presents select findings from a year-long study investigating two urban teachers' use of community-based science (CBS) instructional practices to create relational shifts that reframe expert and expertise in science instruction. By examining how CBS instructional practices reframe power through co-learning experiences, our findings demonstrated that teachers positioned youth as knowledge constructors through three instructional practices: (a) creating space for students to share their knowledge and experiences, (b) positioning students’ lives and experiences as assets to/within science, and (c) being responsive to assets in future lessons. We use these findings to demonstrate how CBS instructional practices support shifts in relational dynamics by creating spaces of rightful presence, where students are viewed as legitimate classroom members who contribute scientific knowledge in practice and have power in the classroom space. By relinquishing traditional boundaries in science teaching to deconstruct ideas of who holds power, we position CBS instructional practices as a means to expand educational equity by legitimizing students’ diverse sensemaking and re-mediating hierarchical structures in classroom spaces.

“Neurophobia” is a phenomenon in human medical education where students develop negative attitudes towards neurology, impeding student learning and future clinical practice. While suspected to exist in veterinary medical education, it remains unstudied. The main objectives of this study were to examine North American veterinary student attitudes towards neurology and neurology education and explore elements that might contribute to neurophobia. Additional objectives were to evaluate veterinary educators’ perceptions of student neurophobia and to develop and validate a scoring tool (VetNeuroQ) to quantify veterinary neurophobia. Veterinary students and faculty at North American veterinary schools were surveyed. A scoring tool was developed from a subset of questions and validated using confirmatory factor analysis. Six hundred six anonymous responses were collected from students at all stages of veterinary education. Neurology training was reported as insufficient by 35.9% and most respondents perceived neurology to not be easy to learn. Neuroanatomy/physiology and neurolocalization were considered difficult concepts. Students rated low confidence in neurology (vs. other topics), and low interest in the Neurology/Neurosurgery specialty. 61.7% of educators reported neurophobia amongst their students. The proposed VetNeuroQ scale showed high reliability (Cronbach's alpha >0.7) and validity ( p < .05; CFI >0.9, RMSEA

As AI increasingly enters classrooms, educational designers have begun investigating students' learning processes vis-à-vis simultaneous feedback from active sources—AI and the teacher. Nevertheless, there is a need to delve into a more comprehensive understanding of the orchestration of interactions between teachers and AI systems in educational settings. The research objective of this paper is to identify the challenges and opportunities when AI intertwines with instruction and examine how this hybrid teaching intelligence is being perceived by the students. The insights of this paper are extracted by analysing a case study that utilizes an AI-driven system (MOVES-NL) in the context of learning integer arithmetic. MOVES-NL is an advanced interactive tool that deploys whole-body movement and immediate formative feedback in a room-scale environment designed to enhance students' learning of integer arithmetic. In this paper, we present an in-situ study where 29 students in grades 6–8 interacted individually with MOVES-NL for approximately 1 hour each with the support of a facilitator/instructor. Mixed-methods analyses of multimodal data sources enabled a systematic multifaceted account of students' cognitive–affective experiences as they engaged with MOVES-NL while receiving human support (eg, by asking students to elaborate on their digital actions/decisions). Finally, we propose design insights for instructional and technology design in support of student hybrid learning. The findings of this research contribute to the ongoing discourse on the role of hybrid intelligence in supporting education by offering practical insights and recommendations for educators and designers seeking to optimize the integration of technology in classrooms. Practitioner notes What is already known about this topic Students and teachers develop different relations with and through AI, beyond just interacting with it. AI can support and augment the teachers' capabilities. Hybrid intelligence (HI) has already demonstrated promising potential to advance current educational theories and practices. What this paper adds This research identifies the important learning opportunities and adversities emerging when AI intertwines with instruction and examines how learners perceive those moments. The results show that the system and the facilitator's feedback were complementary to the success of the learning experience. AI-enabled students to reflect upon and test their previous knowledge and guided teachers to work with students to consolidate challenging topics. Findings provide insights into how the teacher–AI collaboration could engage and motivate students to reflect conceptually upon mathematical rules. Implications for practice and/or policy This study encourages practitioners and scholars to consider hybrid teaching intelligence when designing student-centred AI learning tools, focusing on supporting the development of effective teacher–AI collaborative technologies.

From a social constructivist perspective, learning happens by way of engagement with other people and with objects in the environment, often through a process of play and exploration. The notion of tinkering illustrates this mode of creative play, which is relevant not only to youth learning but also to educators’ professional learning. In this study, we describe the experiences of a group of educators who participated in a professional learning program in the summer of 2020 that involved a series of activities for “tinkering at home.” Interviews focused on participants’ sense-making processes, the resources they sought out, and the facilitation choices they made if they included others in their tinkering. Thematic analysis revealed four characteristic features of the affective and relational flow of learning through tinkering: (1) generative openings, (2) multiple pathways for exploration, (3) impasse, and (4) resolution through social interaction. We discuss the implications of these themes for reflective pedagogical practice that is grounded in educators’ own experiential learning.

This article examines two teachers' efforts to re-organize their science teaching around issues of environmental and food justice in the urban community where they teach through the pedagogical approach of community-oriented framing. We introduce this approach to teachers' framing of phenomena in community as supporting students' framing of phenomena as personally and locally relevant. Drawing on classroom observations of remote learning during the COVID-19 pandemic, we took an analytic approach that characterized features of classroom discourse to rate community-oriented framing at the lesson level. Results show that teachers framed phenomena as both social and scientific, and as rooted in students' lived experiences, with classroom activities designed to gather localized and personalized evidence needed to explain or model phenomena. We also share examples of how Black and Latinx students took up this framing of phenomena in their classroom work. By providing a detailed description of the launch and implementation of activities, findings illustrate how community-oriented framing supported teachers in posing local questions of equity and justice as simultaneously social and scientific, and helping students perceive science learning as meaningful to their everyday lives. Community-oriented framing offers a practical means of designing locally and socially relevant instruction. We contribute to justice-centered science pedagogies by conceptualizing transformative science learning environments as those in which students understand their goal in science class as understanding, and later addressing, inequities in how socioscientific issues manifest in their community.

Abstract: In this mixed methods study, we analyzed survey and interview data from 100 preservice secondary science and mathematics teachers enrolled in four teacher education programs (TEPs) to investigate their readiness to teach multilingual learners. We defined readiness as preservice teachers' sense of preparedness to teach multilingual learners and their understanding of effective multilingual learner instruction. We examined participants' self‐reported levels of preparedness, their understanding of effective multilingual learner instruction, and sources contributing to and/or limiting their readiness. We found that participants' readiness to teach multilingual learners significantly increased between the beginning and end of their TEPs. We also found that participants' understanding of effective multilingual learner instruction was significantly associated with a higher sense of preparedness. Furthermore, we found that participants enrolled in graduate TEPs reported higher levels of preparedness than participants enrolled in an undergraduate TEP. Likewise, participants whose first language was other than or in addition to English reported higher levels of preparedness. Finally, participants identified field placement experiences, personal and professional background, and coursework as factors contributing to their readiness to teach multilingual learners. We close with recommendations for teacher educators intent on helping preservice teachers better understand and implement effective instruction for multilingual learners.

Background:: Research that documents the influence of anti-racism programs on teacher practice shows some desired outcomes, including developing critical consciousness to support students of color and educate others about stereotyping; understanding how racial bias affects one’s teaching and relationships with students; and implementing anti-racist approaches in schoolwide policies and practice. At the same time, research on anti-racist professional development (PD) also highlights the challenges of engaging in this work when white teachers, in particular, respond defensively or dismissively. Studies have shown how these responses can reinforce stereotyping behavior among white participants and reinscribe unequal social relationships. Research Questions:: This article aims to answer the following questions: (1) How do white educators, if they do at all, display resistance to racial justice work? (2) How does resistance among white educators, if it does so at all, shape the experiences of educators of color? (3) How can schools reduce the potential burden of racial justice work on educators of color? Research Design:: This article draws on data from a case study of a New York City elementary school that participated in a yearlong racial justice program. Data sources include semi-structured interviews with school and program leaders; focus groups with members of the racial equity committee and other teachers; observations of professional development sessions, racial equity committee meetings, and other program activities; and artifacts related to the implementation of the program to deepen our understanding of the program’s implementation and responses from multiple stakeholders. Recommendations:: Grounded in critical race theory (CRT), the findings from this study paint a complex picture of the behaviors that white teachers may employ that derail racial justice work, the emotional and professional burden of that resistance on educators of color, and promising approaches for confronting resistance in order to advance racial equity. Beyond identifying the potential costs of engaging in racial justice work, our findings also offer schools and educators promising approaches for challenging white resistance while not perpetuating racial harm. We propose an implementation model that intentionally shields educators of color from the remonstrations of white resistors and the additional toll they can take on their time and well-being. Moreover, given what we know about the outsized role school leaders play in shaping school environments and professional cultures, it is essential that school leaders show commitment to organizational transformation, while developing the skills required to confront varying degrees of white resistance.

Prior work has shown that many undergraduate students have misconceptions about genetic inheritance, even after they take genetics courses. Visual representations, such as pedigree diagrams, are commonly used in genetics instruction, and they help students quickly visualize the phenotypes of multiple generations. In Study 1, we examined whether presenting a pedigree diagram of a wolf’s eye color in a rich and realistic manner (i.e., with rich perceptual images that resemble real animals) or in an abstract manner (i.e., with circles and squares representing animals) would help undergraduates learn from a brief, online lesson on inheritance of the wolf’s eye color, and whether they would transfer what they learned when reasoning about eye color in other species (near transfer) and other traits in other species (mid- and far transfer). Counter to our hypothesis, students transferred more with the rich diagram. In Study 2, we compared the rich diagram from Study 1 to a perceptually bland diagram (i.e., with color and textural features removed). There were no differences in students’ learning or transfer between the diagrams. These results suggest that realistic elements that are attention grabbing and easily interpretable by students can be beneficial for transfer in online lessons.

The study compared concerns, anxiety, mindsets, and belonging in introductory statistics among Latine students across three higher education institutions. Students at the Predominantly White Institution voiced more concerns about R-coding and lack of prior knowledge. Students at the Hispanic-Serving Institutions voiced more concerns about math anxiety and social comparison and had more fixed mindsets, yet higher levels of belonging—pointing toward the value of exploring Latine students’ experiences across different contexts and providing tailored interventions.

Background: Community-based monitoring provides a forum for diverse stakeholders to co-construct knowledge relevant to building social-ecological resilience. However, power asymmetries between these actors can privilege the perspectives of dominant groups, while preventing non-dominant perspectives from informing conservation science. Methods: This study investigates a workshop series intended to support young people in designing a watershed monitoring initiative rooted in their own interests with respect to a large dam removal in their community. We use interaction analysis to examine whose ideas are taken up in discussions among young people, educators, conservation professionals, and education researchers. Findings: Power dynamics that privilege the contributions of credentialed professionals over those of young people can constrain collective learning processes while simultaneously generating tensions that allow for expansive learning to occur. Facilitation practices and other pedagogical moves play an important role in either further entrenching or disrupting hierarchies between youth and community partners. Contribution: Our analysis reveals how careful attention to interactional dynamics—both as a research method and as a pedagogical practice—can make visible and disrupt epistemic hierarchies in multi-stakeholder learning environments. Problematizing these hierarchies can help broaden the perspectives from which knowledge is generated, a necessary endeavor in building resilient social-ecological systems.

This study explored the affective outcomes students perceived from participating in a summer program and the program components that contributed to participants’ perceived affective development. Participants were 55 middle school students (29 girls) with intellectual gifts who participated in a 4-day-long residential program conducted in a western state in India. Participants wrote descriptive reflections responding to a 16-item open-ended survey. Matrix coding was used to code affective outcomes and the associated program components. Thematic analyses of responses revealed five themes that depicted improvement in participants’ (a) confidence and courage, (b) self-awareness, (c) social awareness, (d) social skills, and (e) inspiration. Leadership workshops and group activities, rural experience, and camp structure were discussed most frequently in relation to specific affective outcomes. Findings indicated that a direct and well-planned affective intervention can provide opportunities for social and emotional learning. Implications for holistic talent development programming have been discussed.

How does exposure to authoritarian content in education affect support for autocratic leadership? While higher levels of education are linked to less support for autocratic leadership, states often leverage education to foster regime loyalty in their population. Due to the unavailability of comprehensive data, previous research has not adequately examined how state interference in education might condition the link between education and support for autocratic leadership. Using historical data on education systems from the 20th century provided by the EPSM dataset, alongside individual-level survey data from the ESS and the WVS, this paper tests the conditioning effect of ideology in education. We employ causal inference methods by exploiting compulsory schooling reforms in 15 European countries and account for both the content in the curriculum and the teachers' ideological convictions. The study highlights the role of regime-specific ideology and inter-personal socialization in shaping the strength of the 'education effect'. [ABSTRACT FROM AUTHOR]

This study looks at the impact of a cost-effective professional devel- opment model in which teaching artists helped early elementary teachers master arts-based strategies for boosting the oral language development of English- language learners (ELLs). Teaching artists visited K–2 classrooms for 50 minutes weekly for 28 weeks. Student scores on the listening and speaking sections of the California English Language Development Test were used to determine the impact on language development. The experimental group consisted of 267 students; the comparison group consisted of 2,981 students. The analysis of the listening and speaking scores, fall 2010 to fall 2011, showed significantly more improvement for students in the experimental group. This research has implications for school leaders who, in times of tight budgets, seek professional development opportunities that can assist teachers in addressing the language development needs of English-language learners.

The two studies reported on in this paper examine the features of words that distinguish students’ performances on vocabulary assessments as a means of understanding what contributes to the ease or difficulty of vocabulary knowledge. The two studies differ in the type of assessment, the types of words that were studied, and the grade levels and population considered. In the first study, an assessment of words that can be expected to appear with at least moderate frequency at particular levels of text was administered to students in grades 2 through 12. The second study considered the responses of fourth- and fifth-grade students, including English learners, to words that teachers had identified as challenging for those grade levels. The effects of the same set of word features on students’ vocabulary knowledge were examined in both studies: predicted appearances of a word and its immediate morphological family members, number of letters and syllables, dispersion across content areas, polysemy, part of speech, age of acquisition, and concreteness. The data consisted of the proportion of students who answered an item correctly. In the first study, frequency of a word’s appearance in written English and age of acquisition predicted students’ performances. In the second study, age of acquisition was again critical but so too were word length, number of syllables, and concreteness. Word location (which was confounded by word frequency) also proved to be a predictor of performance. Findings are discussed in relation to how they can inform curriculum, instruction, and research.

Vocabulary instruction is a critical component of language and literacy lessons, yet few studies have examined the nature and extent of vocabulary activities in early elementary classrooms. We explored vocabulary activities during reading lessons using video observations in a sample of 2nd- and 3rd-grade students (n = 228) and their teachers (n = 38). Teachers spent more time in vocabulary activities than has been previously observed. In the fall, 28% of their literacy block was devoted to vocabulary in 2nd grade and 38% in 3rd grade. Our findings suggest that vocabulary activities were most likely to take place prior to reading a text—teachers rarely followed-up initial vocabulary activities after text reading. Analysis of teachers’ discourse moves showed more instructional comments and short-answer questions than other moves; students most frequently engaged in participating talk, such as providing short, simple answers to questions. Students engaged in significantly more talk during vocabulary activities (including generative talk such as initiating an idea) in the spring of 3rd grade than the spring of 2rd grade. These data contribute descriptive information about how teachers engage their students in vocabulary learning during the early elementary years. We discuss implications for practice and future research directions.

Why don't people adopt energy efficient appliances and curtail their behaviors to decrease energy use? People may not know which behaviors are truly effective and may be insufficiently motivated to change their behaviors. We focus on one area of this problem by first analyzing existing decision aids, tools available to help users make effective decisions. We explore EPA’s Energy Star program, DoE’s EERE calculators, and LBNL’s Home Energy Saver tool. We highlight their strengths and limitations and propose a framework to expand the functionality and uptake of the information through such aids. We suggest improvements along two broad areas. One area concerns the analytic capabilities and the information content of the decision aid, which focuses on (1) multiple goals and constraints, (2) hidden costs, and (3) heterogeneity in user characteristics. The other pertains to the framing so that users can easily process information through decision architecture by limiting choice overload and incorporating smart default options.

Engagement with medical education podcasts among health professions learners has been increasing steadily over the last several years. Prior '12 Tips' publications have focused on helping medical educators create and publish their own podcasts. However, there is a gap in available resources to help educators incorporate an already existing and growing library of medical education podcasts into their curriculum rather than create their own. In this paper, the authors provide medical educators '12 Tips' on how to integrate podcasts into their teaching sessions grounded in fundamental principles of curriculum development, cognitive science, and accessibility.

Abstract: Students who are engaged writers are likely to produce better writing and to enjoy writing more than students who are disengaged writers. Yet, we are unaware of any existing tool that validly and reliably measures writing engagement. In this article, we describe what writing engagement is and why it is important. Then, we present the Writing Engagement Scale, a valid and reliable tool for measuring writing engagement, and outline how teachers can use this tool to better inform writing instruction in their classrooms.

This study documents novice science and math teachers’ developing pedagogical approaches to integrating computational thinking (CT) and data into their courses to support educational equity and social justice. The 10 novice teacher candidates (TCs) studied were part of an urban teacher residency program that empowered them with an asset-based pedagogy we describe as “CT for Equity.” Drawing on coursework and interviews as data, we asked three questions: What are teachers’ conceptions of CT? What are their CT instructional practices? And how did their students respond to those practices? To explore conceptions of CT, we used Kafai et al.’s (2020) articulation of three frames of CT – cognitive, situated, and critical approaches – and found that the TCs’ conceptions do not narrowly fit into one of the three frames, but rather they mix and match components of the perspectives to support a range of student outcomes, from transferable skills to preparing youth to explore social justice issues. We also identified a small but powerful set of core practices that the teachers used to support learning outcomes, including integrating data on locally and socially relevant issues. We present group-level trends and three classroom stories, or profiles of practice, to illustrate the generative ways TCs blended priorities from the three frames in instruction. The diversity in the TCs’ conceptions and practices deepens understandings of asset-based pedagogies in CT by shining light on the rich and varied ways that math and science teachers meet the needs of their minoritized students.

Diversity work remains one of the most critical, yet complicated and contentious efforts in higher education. To promote transformative institutional change, a university in California, United States developed an innovative, federally funded community-building model designed to institutionalize diversity efforts. As part of this model, a cross-sectional climate survey was administered in 2010, 2014, and 2018 to learn more about perceptions of campus diversity-oriented work. We present a qualitative, Critical Race Theory analysis of faculty and graduate student responses to the open-ended question, “What do you think we should know about diversity at [this university]?” These data offer a window into a unique period of American history when politics were, and continue to be, especially contentious and social inequality was, and is, at the forefront of American consciousness. We conclude with respondent-inspired suggestions for moving higher education toward social justice.

U.S. K–12 school districts that traditionally utilized ongoing "formative" assessments of student progress increasingly rely on additional "interim" assessments to predict student performance on standardized tests. Moreover, some districts are experimenting with merit-based teacher bonuses tied to standardized test scores. We examine the relationship between interim assessments and teacher bonuses using a two-period principal–agent model. The school district (principal), operating under a limited budget, decides whether to implement interim assessments and how much merit pay to offer, and teachers (agents) choose how much effort to exert in each period. We use two-state (proficient versus not proficient) Markovian dynamics to describe the evolution of student test readiness, in which the transition probability in a given period depends on both teachers' effort decisions and the starting state. Our results indicate that, despite the popularity of interim assessments, their usefulness is far from guaranteed. In particular, the accuracy promised by these assessments is a double-edged sword: positive midyear results can make it easier to incentivize second period teacher effort, but negative results can have a demotivating effect. Moreover, even when an interim assessment does result in a higher probability of the school ending the year in the proficient state, the resulting higher expected costs of merit-based bonuses for the district may exceed the available budget. Thus, even a free interim assessment might be too expensive for the school district. This paper was accepted by Charles Corbett, operations management. Funding: This research was supported by the Risk Management Center Russell Ackoff Doctoral Student Fellowship and the Fishman-Davidson Center for Service and Operations Management, both at The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania. Supplemental Material: The online appendix is available at https://doi.org/10.1287/mnsc.2020.01547. [ABSTRACT FROM AUTHOR]

A student-led mathematics bootcamp has been designed and implemented to help foster community building, improve confidence in mathematical skills, and provide mathematical resources for incoming physical chemistry doctoral students. The bootcamp is held immediately before the start of the first semester of graduate school and uses an active learning approach to review and practice undergraduate-level mathematics problems over 5 days in small student groups. This work includes the development and presentation of a new, publicly available mathematics curriculum for the bootcamp on select mathematics topics, including calculus, linear algebra, functions, differential equations, statistics, and coding in Python, aiming at improving students' confidence and learning experiences in graduate quantum mechanics and statistical physics courses. Surveys before and after the bootcamp showed an increase in students' confidence in problem-solving in key mathematical areas and social aspects of peer-led group learning. Qualitative and quantitative analyses demonstrate that the bootcamp reduced prior inequities in students' confidence metrics based on gender and mathematical background.

We examined the relation of morphological awareness with language and literacy skills, namely phonological awareness, orthographic awareness, vocabulary, word reading, spelling, text reading fluency, and reading comprehension. We also examined potential moderators of the relations (grade level, orthographic depth of language, receptive vs. productive morphological awareness, inflectional vs. derivational vs. compound morphological awareness, and L1/L2 status). After systematic search, a total of 232 articles (965 unique samples, N = 49,936 participants, and 2,765 effect sizes in 17 languages) met inclusion criteria. Morphological awareness was, on average, moderately related to phonological awareness (r =.41), orthographic awareness (r =.39), vocabulary (r =.50), word reading (r =.49), spelling (r =.48), text reading fluency (r =.53), and reading comprehension (r =.54). Importantly, morphological awareness had a stronger relation with word reading in orthographically deep languages (.52) than in orthographically shallow languages (.38). The relation with vocabulary was stronger for upper elementary grades than for primary grades. The magnitude of the relation also varied by the nature of morphological awareness: productive morphological awareness had a stronger relation with phonological awareness and vocabulary than receptive morphological awareness; derivational morphological awareness had a stronger relation with vocabulary and word reading compared to inflectional morphological awareness; and compound morphological awareness had a weaker relation with phonological awareness but a stronger relation with vocabulary compared to inflectional morphological awareness. These results underscore the importance of morphological awareness in language and literacy skills, and reveal a nuanced and precise picture of their relations.

Abstract: The college-educated are more likely to vote than are those with less education. Prior research suggests that the effect of college attendance on voting operates directly, by increasing an individual’s interest and engagement in politics through social networks or human capital accumulation. College may also increase voting indirectly by leading to degree attainment and increasing socioeconomic status, thus facilitating political participation. However, few studies have empirically tested these direct and indirect pathways or examined how these effects vary across individuals. To bridge this gap, we employ a nonparametric causal mediation analysis to examine the total, direct, and indirect effects of college attendance on voting and how these effects differ across individuals with different propensities of attending college. Using data from the 1979 and 1997 cohorts of National Longitudinal Surveys of Youth, we find large direct effects of college on self-reported voting and comparably smaller indirect effects that operate through degree completion and socioeconomic attainment. We find the largest impact of college on voting for individuals unlikely to attend, a pattern due primarily to heterogeneity in the direct effect of college. Our findings suggest that civic returns to college are not contingent upon degree completion or socioeconomic returns. An exclusive focus on the economic returns to college can mask the broader societal benefits of expanding higher education to disadvantaged youth.

Many studies investigating inquiry learning in science domains have appeared over the years. Throughout this period, inquiry learning has been regularly criticized by scholars who favor direct instruction over inquiry learning. In this vein, Zhang, Kirschner, Cobern, and Sweller (2022) recently asserted that direct instruction is overall superior to inquiry-based instruction and reproached policy makers for ignoring this fact. In the current article we reply to this assertion and the premises on which it is based. We review the evidence and argue that a more complete and correct interpretation of the literature demonstrates that inquiry-based instruction produces better overall results for acquiring conceptual knowledge than does direct instruction. We show that this conclusion holds for controlled, correlational, and program-based studies. We subsequently argue that inquiry-based and direct instruction each have their specific virtues and disadvantages and that the effectiveness of each approach depends on moderating factors such as the learning goal, the domain involved, and students' prior knowledge and other student characteristics. Furthermore, inquiry-based instruction is most effective when supplemented with guidance that can be personalized based on these moderating factors and can even involve providing direct instruction. Therefore, we posit that a combination of inquiry and direct instruction may often be the best approach to support student learning. We conclude that policy makers rightfully advocate inquiry-based instruction, particularly when students’ investigations are supplemented with direct instruction at appropriate junctures.

PurposeChildren's ability to adjust one's language according to discourse context is important for success in academic settings. This study examined whether second graders vary in linguistic and discourse features depending on discourse contexts, that is, when describing pictures in contextualized (describing the picture to an examiner while looking at it together) and decontextualized (pretending to describe the picture to a friend while sitting in front of the examiner) conditions.MethodA total of 330 English-speaking second graders in the United States (M age = 7.33 years; 53% boys; 55% Caucasian children, 35% African American children) described three pictures in contextualized and decontextualized conditions. Children's picture descriptions were transcribed verbatim and coded for linguistic (e.g., elaborated noun phrase) and discourse (e.g., proper character introduction, degree of decontextualization) features.ResultsType-token ratio was higher in the contextualized condition than in the decontextualized condition, whereas certain types of elaborated noun phrases (e.g., simple descriptive noun phrase, noun phrase with postmodification), coordinating conjunctions, and nonclauses occurred more frequently in the decontextualized condition, controlling for total productivity and student demographics. The proportion of proper character introduction was higher in the decontextualized condition, whereas higher degrees of decontextualization and complex perspective-taking were found in the contextualized condition.ConclusionVarious linguistic and discourse cues illustrated the extent to which primary grade students employ their discourse knowledge when producing oral language.

It is widely recognized that individuals with dyslexia have difficulties with word reading and spelling, and individuals with reading comprehension difficulties have low vocabulary knowledge. However, little is known about the extent to which spelling and vocabulary are informative of reading difficulties. In the present study, we investigated whether information on students' spelling and vocabulary in kindergarten increases the precision of identifying students with reading difficulties, using longitudinal data from kindergarten to Grade 2. The sample was composed of 247 kindergartners (55% boys; 56% White children, 35% African American children, and 5% mixed-race children; 72% from low SES) who were followed to Grade 2. Spelling improved the accuracy of identifying students who experienced word reading difficulties in kindergarten and Grade 1. In contrast, vocabulary did not improve the accuracy of identifying students with reading difficulties over and above word reading and spelling. These results indicate the importance and utility of including spelling, in addition to word reading, as an integral part of accurately identifying children with reading difficulties as early as kindergarten. In addition, although vocabulary did not contribute additional predictive power, it is likely to exert its influence at a later phase of reading development.

Classroom Pivotal Response Teaching (CPRT) is a community-partnered adaptation of a naturalistic developmental behavioral intervention identified as an evidence-based practice for autistic children. The current study evaluated student outcomes in a randomized, wait-list controlled implementation trial across classrooms. Participants included teachers (n = 126) and students with autism (n = 308). Teachers participated in 12 hours of didactic, interactive training and additional in-classroom coaching. Generalized Estimating Equations accounted for clustering. Adjusted models evaluated the relative effects of training group, CPRT fidelity, and classroom quality on student outcomes. Results indicate higher CPRT fidelity was associated with greater increases in student learning. Having received CPRT training predicted increased student engagement and greater decreases in reported approach/withdrawal problems. These differences may be linked to the theoretical foundations of CPRT of increasing student motivation and engagement and collaborative adaptation to increase feasibility in schools. Overall, results suggest CPRT may be a beneficial approach for supporting autistic students.

This paper combines recent developments in theories of knowledge (complex dynamic systems), technologies (embodied interactions), and research tools (multimodal data collection and analysis) to offer new insights into how conceptual mathematical understanding can emerge. A complex dynamic system view models mathematics learning in terms of a multimodal agent who encounters a set of task constraints. The learning process in this context includes destabilizing a systemic configuration (for example, coordination of eye and hand movements) and forming new dynamic stability adapted to the task constraints. To test this model empirically, we applied a method developed to study complex systems, recurrence quantification analysis (RQA), to investigate students’ eye–hand dynamics during a touchscreen mathematics activity for the concept of proportionality. We found that across participants (n = 32), fluently coordinated hand-movement solutions coincided with more stable and predictable gaze patterns. We present a case study of a prototypical participant’s hand–eye RQA and audio–video data to show how the student’s cognitive system transitioned out of prior coordination reflective of additive thinking into a new coordination that can ground multiplicative thinking. These findings constitute empirical substantiation in mathematics education research for cognition as a complex system transitioning among dynamic equilibria.