Declining student enrollment is leading to a loss of revenue in many California school districts. To address ongoing budget shortfalls, many districts have consolidated or shuttered schools,and others are contemplating doing so. A new report and working paper, summarized in this brief, explore the racial dimensions of school closures and how to address them.
Enrollment in California public schools has been declining and is projected to fall even more steeply during the next decade. Because funding for school districts is largely based on average daily attendance rates, a decline in enrollment results in a loss of funding. To address budget shortfalls and align services with student counts, many districts have consolidated or closed schools, or they are contemplating doing so.
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. The findings underscore that school closures in California and elsewhere reflect racial inequalities that require adequate policymaking to ensure equitable and fair school-closure proceedings.
Newcomers represent a large and understudied subgroup of students in California. The Oakland Unified School District has been disaggregating data on newcomer status for the last 7 years, providing a basis for analyzing graduation outcomes for newcomer compared to non-newcomer students. The data highlight the variance in outcomes based on program placement and design. Drawing from analysis of Oakland Unified’s data and practices, the authors make programmatic recommendations for districts with newcomer students.
Oakland International High School, winner of the 2017 National Community School Award, supports its recently arrived immigrant students by integrating academic, social, mental health,and material supports into the school day and beyond. Its community school model incorporates a Wellness Center, a tiered system of support and engagement, external partnerships, specialized staffing, and a collaborative culture of continuous improvement that promotes agency and belonging for both students and staff.
This case study identifies promising practices for newcomer education implemented in San Juan Unified School District (SJUSD), one of 12 local educational agencies (LEAs) funded under the California Newcomer Education and Well-Being (CalNEW) project between 2018 and 2021. This report was developed through a partnership between PACE and the Center for Equity for English Learners (CEEL) at Loyola Marymount University (LMU).
This study highlights the collaborative efforts undertaken to create a temporary school called Futuro Brillante in San Diego County, California, to provide educational services for more than 3,000 unaccompanied undocumented minors who had newly arrived in the U.S. The study describes the compelling trajectory of the school’s development, its multisector community partnerships, its core facilitating organizational conditions, and the key curriculum strategies that facilitated the school’s success.
Artificial intelligence (AI) encompasses a broad set of tools developed to perform tasks that have historically required human intelligence. The new generative AI tools, such as ChatGPT, are not programmed with a specific set of instructions; rather, they are trained on sets of data and algorithms that guide how they respond to prompts. We are increasingly using a range of AI tools—such as autopopulate suggestions, navigation systems, facial recognition on phones, and ChatGPT—in many aspects of our lives. Because of the prevalence and power of these tools, their rapid development, and their potential to be truly disruptive—in positive and negative ways—it is critical that school districts develop policies, guidelines, and supports for the productive use of AI in schools. Later in this commentary, we discuss many of the short-term positives and negatives of using AI in schools. The greatest impact of AI, however, is how it can transform teachers’ roles and student learning.
During the 2022–23 school year, artificial intelligence (AI) evolved from an experimental technology few had heard of into readily available technology that has become widely used by educators and students. There are many ways educators can use AI that may positively revolutionize education to benefit classroom instruction, to support data use and analysis, and to aid in decision-making. The biggest potential upsides of AI for education will be accompanied by major disruptions, however, and districts will need time for thoughtful consideration to avoid some of the worst possible pitfalls. This commentary focuses not on how best to harness the potential of AI in education over the long term but instead on the urgent need for districts to respond to student use of AI. We argue that during summer 2023, districts should adopt policies for the 2023–24 school year that help students to engage with AI in productive ways and decrease the risk of AI-related chaos due to society’s inability to detect inappropriate AI use.
Chronic absenteeism (when a student misses 10 percent or more of instructional days during the school year for any reason) has spiked by an alarming degree, increasing more than twofold statewide, from 14% in 2020–21 to 30% in 2021–22. This increased absenteeism during 2021–22 is, of course, not entirely surprising. When students returned to school after a year of pandemic-induced virtual learning in 2020–21, they were encouraged to stay home if they had any symptoms, and many students had to miss school to quarantine after an exposure to COVID-19. Even though the pandemic is largely behind us at this point, early warning signs show that we now face challenges with attendance that could persist into the long term; although data for the current school year (2022–23) will not be released at the state level until fall 2023, locally released data show that the patterns this year may be as worrisome as last. How do we urgently move the needle on our high rate of chronic absenteeism so that it does not become the new normal in our state?
