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Since establishing its first campus in 1868, the University of California (UC), California's land-grant university, developed into the nation's first multi-campus system in the United States, and is today widely recognized as the world's premier network of public research universities. This short essay provides an historical brief on the role that shared governance, and specifically the role of the Academic Senate, played in creating an academic culture of excellence and high achievement in pursuing its tripartite mission of teaching and learning, research and knowledge production, and public service. A key component in understanding the critical role of the Senate in UC's evolution from a single campus in Berkeley to now a ten-campus system is the university's unusual designation as a public trust in the state constitution that, beginning in 1879, protected the university at critical times from external political pressures and allowed the university to develop an internal academic culture guided by the Academic Senate. By the 1920s, the emergence of California's unique and innovative public system of higher education, with UC as the sole public provider of doctoral degrees and state funded research, also helps explain the ability of the UC system to maintain its mission and formulate what is termed a "One University" model. The Academic Senate has created coherency and shared values within UC, and a culture and expectation for faculty performance that is unique among universities around the world. This essay also offers a brief reflection on the Academic Senate's past influence, its current status, and prospective role. The overall intent is to provide context for the current academic community and higher education scholars regarding the past and future role of faculty in university governance and management, and what distinguishes UC in the pantheon of major research universities.

Following up on an individual-level randomized controlled trial of a Dana Center Math Pathways (DCMP) model, this study assessed longer-term impacts on students' math completion, academic progress, and academic attainment. The version of the DCMP that was assessed in this study diversified the developmental and college-level math course content that students take, separating it into distinct pathways that better aligned with their career interests. It also streamlined developmental math sequences into a one-semester developmental course for all students, regardless of placement level, and implemented evidence-based curricula and pedagogy to engage students in active problem solving that was pertinent to real-life situations. The study, which followed 1,411 students from four Texas community colleges and ten campuses, found that, in the five years after random assignment, program group students were consistently more likely to successfully complete their first college-level math courses than control group students. The study did not find impacts after five years on the number of overall college credits that students accrued or on the likelihood that students attained a credential or transferred to a four-year college.

Multiple measures assessment (MMA) has gained considerable momentum over the past decade as an alternative to traditional test-based procedures for placing incoming students into developmental or college-level coursework in math and English at broad-access colleges. Compared to standardized tests, which measure student performance at a single point in time, MMA (which often emphasizes high school GPA as a measure) provides a more holistic picture of students' academic preparation. Despite positive impacts on student outcomes that have been found by recent research on MMA, questions remain about whether the positive effects of MMA are sustained over time. This study--a follow-up to prior research using the same sample of students--employs a randomized controlled trial to investigate whether algorithmic MMA placement used at seven State University of New York (SUNY) community colleges led to better student outcomes, for up to four and a half years after randomization, than a system based on test scores alone. Nearly 13,000 incoming students who arrived at the seven colleges in fall 2016, spring 2017, and fall 2017 took placement tests and were randomly assigned to be placed using either the status quo method (business-as-usual group) or the alternative, algorithmic MMA method (program group). Using this sample, we estimate the overall treatment effects on placement into, enrollment in, and completion of college-level math and English as well as effects on other outcomes. We conduct similar analyses on race/ethnicity, Pell recipient status, and gender subgroups. We also descriptively examine the proportion of program group students who were bumped up (i.e., their placement changed from a developmental course placement to a college-level course placement) and bumped down (i.e., their placement changed from a college-level course placement to a developmental course placement) by the MMA algorithm, and we perform a cost-effectiveness analysis. We find that the MMA method used at the colleges improved access to and success in college-level courses and that lower cut scores in English rather than math are associated with larger and longer lasting impacts on completion of college-level coursework. While MMA improved outcomes among student subgroups, it had little to no impact on gaps in outcomes between subgroups. We also find that bumped-up students had substantially better outcomes in both math and English, while bumped-down students had substantially worse outcomes. Our results suggest that increased access to college-level courses is the driving factor in the positive outcomes experienced by program group students and that placement into standalone developmental courses can have detrimental effects on student outcomes. In the discussion of the study's results, we make recommendations for adopting MMA at colleges. Implemented together with other initiatives to support students, MMA can be a first step on the path to success for incoming students. [For the accompanying research brief, see ED632528.]

The growth of homeschooling from a somewhat fringe movement during the 1970s and 1980s to a more widespread and socially accepted approach in recent decades has provided a strong foundation of flexible learning models. When Florida's school choice expansion, House Bill 1, was introduced in January 2023, one of its goals was to allow more homeschoolers to participate in the education savings account (ESA) program. But many homeschoolers and homeschool advocacy groups balked at the proposal. Having worked hard to achieve independence, they were loath to be linked to government funding. Even if the program were optional, they feared that associated regulations would eventually extend to traditional homeschoolers. In the end, the bill passed with new language that satisfied traditional homeschoolers by creating a new option for parents to educate their children at home. As states continue to enact and expand education savings accounts, Colleen Hroncich argues that it is crucial that policymakers craft bills in a way that maximizes freedom and minimizes roadblocks.

This study investigates racial disparities in school closures both within California and nationally. Findings highlight an alarming pattern: Schools enrolling higher proportions of Black students are at significantly increased risk of closure relative to those enrolling fewer Black students, a pattern that is more pronounced in California than elsewhere in the United States. This study also finds that conventional explanations for school closures--such as declining enrollments, poverty rates, and achievement differences--cannot fully account for why schools enrolling larger shares of Black students have greater odds of closure. These findings underscore that school closures in California and elsewhere reflect racial inequalities that require adequate policymaking to ensure equitable and fair school-closure proceedings

We investigate the impact of attending a free school in England -- that is, a new start-up school that enjoys considerable autonomy while remaining in the state sector. We analyse the effects of two secondary free schools with different teaching philosophies: one follows a 'no excuse' paradigm, while the other one adopts a 'classical liberal', knowledge-rich approach. We establish causal effects exploiting admission lotteries and a distance-based regression discontinuity design. Both schools have a strong positive impact on student test scores on average. However, we also find heterogeneous effects: the 'no excuse' school mostly benefits boys, while the 'classical liberal' school mainly benefits White British and non-poor students. Both schools similarly reduce student absences and school mobility. Peer quality, teacher characteristics, and inspectorate ratings cannot fully explain the schools' effectiveness. Instead, a quantitative text analysis of the schools' 'vision and ethos' statements shows that the 'no excuse' and 'classical liberal' philosophies adopted by the two free schools clearly set them apart from the counterfactual schools where rejected applicants enrol, and likely explain their heterogeneous effects.

We study the impact of a bonus policy implemented by Hawai'i Public Schools starting in fall 2020 that raised the salaries of all special education teachers in the state by $10,000. We estimate that the introduction of this policy reduced the proportion of vacant special education teaching positions by 32%, or 1.2 percentage points, and the proportion of special education positions that were vacant or filled by an unlicensed teacher by 35%, or 4.0 percentage points. The bonus policy did not have significant impacts on special education teacher retention; instead, the impacts of the policy were driven almost entirely by an increase in the number of general education teachers in the state who moved into open special education teaching positions. The effects of the bonus policy were also largest in historically hard-to-staff schools in which all teachers also received "tiered school" bonuses of up to $8,000. Hawai'i therefore represents a unique but instructive case of how strategic financial incentives can help address special education teacher shortages.

We leverage data on 1,857 families in 140 rural cocoa-growing communities of Côte d'Ivoire to report on child work activities and schooling decisions. We distinguish between unpaid domestic labor and unpaid agricultural child labor activities reported by children in 2021 during the COVID-19 pandemic. We find that more than 80% of children participate in at least one household work activity and more than 50% in at least one agricultural work activity, with differences between boys and girls. Older boys performed more unpaid agricultural work activities, and girls performed more domestic work activities. Thirty-five percent of children were engaged in unpaid agricultural child labor, a rate similar to a national estimate of child labor in cocoa-growing communities of Côte d'Ivoire in 2018/19. Agricultural child labor and schooling are predicted by a child's age and gender, household factors such as parental age, family size, multidimensional poverty, and community factors, especially community-level child labor rates. Social protection and education programs targeting older boys could improve their schooling outcomes and reduce agricultural child labor. Likewise, addressing acute poverty with multifaceted programs reducing consumption-based poverty, poor parental education, and improving community infrastructures could reduce child labor.

To make up for pandemic-related learning losses, many U.S. public school districts have increased enrollment in their summer school programs. We assess summer school as a strategy for COVID-19 learning recovery by tracking the academic progress of students who attended summer school in 2022 across eight districts serving 400,000 students. Based on students' spring to fall progress, we find a positive impact for summer school on math test achievement (0.03 standard deviation, SD), but not on reading tests. These effects are predominantly driven by students in upper elementary grades. To put the results into perspective, if we assume that these districts have losses similar to those present at the end of the 2022-23 school year (i.e., approximately -0.2 SD), we estimate summer programming closed approximately 2% to 3% of the districts' total learning losses in math, but none in reading. [This research received funding from Kenneth C. Griffin.]

With the rapid growth of scholarly archives, researchers subscribe to "paper alert" systems that periodically provide them with recommendations of recently published papers that are similar to previously collected papers. However, researchers sometimes struggle to make sense of nuanced connections between recommended papers and their own research context, as existing systems only present paper titles and abstracts. To help researchers spot these connections, we present PaperWeaver, an enriched paper alerts system that provides contextualized text descriptions of recommended papers based on user-collected papers. PaperWeaver employs a computational method based on Large Language Models (LLMs) to infer users' research interests from their collected papers, extract context-specific aspects of papers, and compare recommended and collected papers on these aspects. Our user study (N=15) showed that participants using PaperWeaver were able to better understand the relevance of recommended papers and triage them more confidently when compared to a baseline that presented the related work sections from recommended papers., Comment: Accepted to CHI 2024