Search Results: (31-45 of 1285 records)
|REL 2022124||Predicting Early Fall Student Enrollment in the School District of Philadelphia
Predicting incoming enrollment is an ongoing concern for the School District of Philadelphia (SDP) and similar districts with school choice systems, substantial student mobility, or both. Inaccurate predictions can disrupt learning as districts adjust to enrollment fluctuations by reshuffling teachers and students well into the fall semester. This study compared the accuracy of four statistical techniques for predicting fall enrollment at the school-by-grade level, using data from prior years, to assess which approach might be the most useful for planning school staffing in SDP. The predictions differ little in accuracy: predicted cohort size differs from actual cohort size by roughly six students across all methods The statistical techniques leave much student mobility unaccounted for. Even under the best prediction approach, students and teachers in 22 percent of incoming grade levels within schools might have to be reassigned because of unexpected student mobility and district rules on maximum class size. Predictive accuracy is not meaningfully different in schools with larger proportions of Black students, economically disadvantaged students, or English learner students. Of the 259 predictors analyzed, 4 stand out as the most important: prior cohort sizes, in-school suspensions, out-of-school suspensions, and absences.
|REL 2021112||Program Evaluation Toolkit
Program evaluation is important for assessing the implementation and outcomes of local, state, and federal programs. The Program Evaluation Toolkit provides resources and tools to support users in contributing to evaluations of their own programs. The primary audience for the toolkit includes individuals responsible for evaluating and monitoring local, state, or federal programs. The toolkit comprises a series of eight modules that begin at the planning stages of an evaluation and progress to the presentation of findings. Resources in the toolkit will help users create a logic model, develop evaluation questions, identify data sources, develop data collection instruments, conduct basic analyses, and disseminate findings. By using the toolkit, users should develop an evaluation that provides easy-to-understand findings as well as recommendations or possible actions.
|REL 2021226||Identifying Students At Risk Using Prior Performance Versus a Machine Learning Algorithm
This report provides information for administrators in local education agencies who are considering early warning systems to identify at-risk students. Districts use early warning systems to target resources to the most at-risk students and intervene before students drop out. Schools want to ensure the early warning system accurately identifies the students that need support to make the best use of available resources. The report compares the accuracy of using simple flags based on prior academic problems in school (prior performance early warning system) to an algorithm using a range of in- and out-of-school data to estimate the specific risk of each academic problem for each student in each quarter. Schools can use one or more risk-score cutoffs from the algorithm to create low- and high-risk groups. This study compares a prior performance early warning system to two risk-score cutoff options: a cutoff that identifies the same percentage of students as the prior performance early warning system, and a cutoff that identifies the 10 percent of students most at risk.
The study finds that the prior performance early warning system and the algorithm using the same-percentage risk score cutoffs are similarly accurate. Both approaches successfully identify most of the students who ultimately are chronically absent, have a low grade point average, or fail a course. In contrast, the algorithm with 10-percent cutoffs is good at targeting the students who are most likely to experience an academic problem; this approach has the advantage in predicting suspensions, which are rarer and harder to predict than the other outcomes. Both the prior performance flags and the algorithm are less accurate when predicting outcomes for students who are Black.
The findings suggest clear tradeoffs between the options. The prior performance early warning system is just as accurate as the algorithm for some purposes and is cheaper and easier to set up, but it does not provide fine-grained information that could be used to identify the students who are at greatest risk. The algorithm can distinguish degrees of risk among students, enabling a district to set cutoffs that vary depending on the prevalence of different outcomes, the harms of over-identifying versus under-identifying students at risk, and the resources available to support interventions.
|REL 2021118||Variations in District Strategies for Remote Learning During the COVID-19 Pandemic
In spring 2020, the COVID-19 pandemic led to an unprecedented and abrupt stoppage of in-person learning in schools across the country. State education agency leaders in Kansas, Nebraska, North Dakota, and Wyoming needed information on proposed strategies in districts’ remote learning plans to ensure continuity and better support remote learning in their states. This study used document analysis to examine proposed strategies related to infrastructure; strategies and supports for instruction; and supports for teachers, students, and parents. Findings are presented separately by district Internet connectivity level, district poverty quartile, and district locale. These findings represent variations in district remote learning plans across the four states included in the study.
The study found that proposed remote learning strategies varied considerably and were often related to district characteristics. For instance, a higher percentage of districts with higher Internet connectivity before the pandemic proposed support for home-based Internet; full student access to devices; technology support; and additional supports for teachers, students, and parents. In addition, a higher percentage of nonrural districts and high-poverty districts proposed supports for students and parents, such as one-on-one meetings between students and teachers and resources for parents on remote learning.
Although district capacity to implement remote learning has likely improved since the start of the pandemic, state education agency leaders can use the findings in this report to consider providing more support to districts with persistent Internet connectivity challenges. Leaders can also use the report to inform additional data collection to examine how remote learning strategies have evolved and to help determine the implications of the shift on student learning.
|REL 2021116||Factors Associated with Grade 3 Reading Outcomes of Students in the Commonwealth of the Northern Mariana Islands Public School System
Few elementary students on the Commonwealth of the Northern Mariana Islands (CNMI) are scoring at grade level or higher on the ACT Aspire reading assessment. To better understand factors associated with the reading proficiency of CNMI grade 3 students, stakeholders there asked the Regional Educational Laboratory Pacific to examine the demographic characteristics and education experiences of students who demonstrated reading proficiency by grade 3. The study focused on grade 3 students who were enrolled in CNMI public schools from 2014/15 to 2018/19. It found that female students, students who did not receive free or reduced-priced lunch, students who were older at the time of kindergarten entry, Filipino students, and students who did not change schools were more likely to demonstrate reading proficiency in grade 3 than other students. There was no difference in grade 3 reading proficiency between students who had enrolled in Head Start and students who had not.
|REL 2021108||Supports Associated with Teacher Retention in Michigan
Statewide teacher shortages are hindering Michigan’s efforts to ensure that all students have equitable access to qualified teachers. Implementing teacher supports—which may be policies, practices, or programs—to increase teacher retention offers a way to alleviate shortages. This study identified supports implemented by local education agencies (traditional school districts and charter schools) that are associated with teacher retention. The study examined local teacher retention rates from 2013/14 to 2018/19 and teachers' responses to a survey about teacher supports in their local agencies and their perceptions of those supports.
Average annual teacher retention rates among Michigan’s local education agencies ranged from 33 percent to 100 percent in the six-year period. The likelihood that teachers would remain teaching in their local education agency was higher in local education agencies that served lower percentages of students who were economically disadvantaged, higher percentages of students who were White, and higher percentages of students proficient in English language arts. And the likelihood was higher in agencies that had regular supportive communication between new teachers and school leaders, implemented mentoring programs, provided new teachers with an orientation to their school, allowed teachers to set goals in their evaluations, and provided teachers with sufficient instructional resources. The study also found that supports associated with teacher retention varied by the type of local education agency and the percentage of students who were economically disadvantaged. Findings from this study can help education agencies in Michigan prioritize which of 30 teacher supports examined merit more rigorous investigation.
|NCEE 2021004||State and District Strategies to Reduce Dropouts
The Every Student Succeeds Act (ESSA) encourages states and districts to support students' transitions from one level of schooling to the next to reduce the risk of their dropping out. This snapshot presents findings from national surveys in 2018. Most states and districts are providing some types of transition and dropout prevention services, such as individualized career plans to help students identify and work toward their long-term goals and course offerings to help students who have fallen behind get back on track for graduation. However, many fewer states and districts have early warning systems designed to proactively identify the students most at-risk and in need of services and target such services.
|REL 2021100||Variation in Mentoring Practices and Retention across New Teacher Demographic Characteristics under a Large Urban District's New Teacher Mentoring Program
A large urban school district wanted to understand how its first-year teacher mentoring program might better support the district goals of increasing retention and maintaining a diverse workforce. This study investigated new teachers' participation in that program; how participation varied across teacher characteristics, especially how participation varied by the racial/ethnic makeup of new teacher–mentor pairs; and how participation in various aspects of the program was related to new teacher retention after the first year. The study found that over 40 percent of new teachers spent at least 10 hours a month meeting with their mentor but that more than 25 percent spent less than half that much time in mentoring meetings. There were also large differences by race/ethnicity in the proportions of new teachers who reported spending time on specific topics: White new teachers were almost twice as likely as Black new teachers to report spending substantial time on classroom management. New teacher retention was related to the amount of time new teachers spent meeting with their mentor, to whether new teachers reported spending substantial time with their mentor addressing classroom management, and to the racial/ethnic alignment of new teacher–mentor pairs.
|REL 2021113||Using Enhanced Coaching of Teachers to Improve Reading Achievement in Grades PreK–2 in Chicago Public Schools
Chicago Public Schools is working to improve early literacy outcomes through a multiyear professional development initiative for preK–2 teachers. The P–2 Balanced Literacy Initiative aims to improve literacy instruction by training teachers to implement effective early literacy instruction balancing systematic foundational skills instruction with reading and writing instruction involving rich, complex texts. The initiative began in 2016/17 and served 23 percent of all district elementary schools by 2018/19. The district designated 26 of the 115 elementary schools implementing the initiative in 2018/19 to receive enhanced supports, including intensive, site-based coaching, to support students’ independent reading. This study compared the reading achievement of students who attended schools that received the enhanced supports (priority schools) with the reading achievement of students who attended similar schools that received only the initiative’s standard supports (nonpriority schools). It also examined differences between priority and nonpriority schools in teachers’ and administrators’ participation in professional development sessions and looked at the successes and challenges of implementation. The study found that one year after implementation of the initiative, attending a priority school did not lead to higher end-of-year reading achievement than attending a nonpriority school after other factors were adjusted for. Teachers and administrators in priority schools were more likely than those in nonpriority schools to participate in the initiative’s core professional development sessions. Interviews with select district, network, and school leaders; instructional support coaches; and teachers suggest that several aspects of the initiative’s professional development were valuable, most notably the opportunities for teachers to deepen their understanding of the initiative’s professional development, receive feedback through observation and school-based coaching, and learn from one another. But instructional support coaches’ limited capacity, due to competing responsibilities, was a challenge. District leaders might consider increasing the number of coaches available and limiting their competing priorities so they can focus on the initiative.
|REL 2021099||Exploring Implementation of Attendance Supports to Reduce Chronic Absenteeism in the Providence Public School District
In recent years Rhode Island’s Providence Public School District (PPSD) has put initiatives in place to reduce high chronic absenteeism. This study explored attendance supports aimed at reducing chronic absenteeism that PPSD schools implemented in the 2018/19 school year. Although some schools had attendance supports in place before 2018/19, in 2018 the district added new requirements for schools to address chronic absenteeism. The study investigated what attendance supports were most commonly implemented with fidelity in 2018/19 by schools in which chronic absenteeism decreased between 2017/18 and 2018/19. Schools in which chronic absenteeism decreased implemented text messaging, phone calls, and mentorship programs with fidelity more frequently than schools in which chronic absenteeism increased. The study also looked more closely at one support in particular—text messaging to parents and guardians of students—to examine how implementation varied across schools. Some schools used a targeted approach for contacting parents and guardians of students who might be at risk for chronic absenteeism, translating content to reach parents and guardians in their preferred language; this could create opportunities to reach parents and guardians in ways that other attendance supports do not. Descriptive analyses showed that during the 2018/19 school year the use of attendance-related text messaging increased more quickly in schools in which chronic absenteeism decreased between 2017/18 and 2018/19 than in schools in which chronic absenteeism increased, where the use of attendance-related text messaging remained flat.
|REL 2021115||The Effect of Discipline Reform Plans on Exclusionary Discipline Outcomes in Minnesota
In 2017 the Minnesota Department of Human Rights identified 43 local education agencies in the state as being in violation of the Minnesota Human Rights Act for their use of exclusionary discipline practices (suspensions, exclusions, and expulsions) at higher rates for American Indian students, Black students, and students in special education, as well as for their overall use of discipline practices. The department agreed not to pursue legal action against any identified local education agency that created and implemented a plan to reform its discipline practices. This study examined the use of exclusionary discipline practices by Minnesota local education agencies from 2014/15 through 2018/19 and the extent to which the creation of discipline reform plans by identified local education agencies was associated with changes in discipline outcomes. The study found that creating a discipline reform plan was not associated with a statistically significant change in exclusionary discipline actions experienced by students.
|REL 2021098||Using Promotion Power to Identify the Effectiveness of Public High Schools in the District of Columbia
This study estimated the promotion power of public high schools in the District of Columbia. Promotion power is a measure of school effectiveness that distinguishes a school/s contributions to student outcomes from the contributions of the background characteristics of the students it serves. Promotion power scores are distinct from status measures such as graduation rate and college enrollment rate because they account for prior student achievement and other student background characteristics in measuring schools’ contributions. They complement value-added measures by using similar methods to examine additional, longer-term outcomes. The study found wide variation in high schools’ promotion power for college-ready SAT scores, high school graduation, and college enrollment. Schools with high promotion power for high school graduation were also more likely to have high promotion power for college enrollment. Student background characteristics were less strongly related to promotion power scores than to status measures, suggesting that high schools serving differing student populations can show strong promotion power.
|REL 2021093||State-Funded Preschool in the Last Frontier: Alaska's Pre-Elementary Grant Program
Created in 2016, Alaska's Pre-Elementary Grants (PEGs) allow school districts to design, develop, and expand affordable and accessible preschool in their communities. PEGs aim, in particular, to serve historically disadvantaged students. This study aimed to help Alaska stakeholders better understand how districts implemented the grants and what were the characteristics and outcomes of children who participated in PEG programs. Based on analyses of documents, interviews, and administrative data, the study found that PEG districts served a higher proportion of Alaska Native students, English learner students, and students in rural remote schools than did non-PEG districts and that these differences increased between 2016/17 and 2018/19 as more districts received funding. PEG districts used the program’s flexibility primarily to provide or support part-day preschool. In addition, students' participation in state-funded preschool between 2013/14 and 2017/18, including PEG participation, was positively related to kindergarten readiness, kindergarten and grade 2 English language proficiency, kindergarten and grade 1 attendance, and grade 3 assessment scores in math but not to grade 3 assessment scores in reading. The study findings have important implications for Alaska’s efforts to expand preschool and might also be of interest to other predominantly rural states that are considering similar efforts. Specifically, the implementation findings can help practitioners, program directors, and state agency staff members in Alaska provide more targeted support to districts and modify the grant program in future years. The promising findings on the relationship between PEG participation and student outcomes point to the need for more rigorous research on this topic—an effort that would benefit from improved data collection.
|REL 2021097||First-Year Effects of Early Indicator and Intervention Systems in Oregon
Although Oregon has made recent gains in its overall high school graduation rate, 21 percent of public school students entering grade 9 in 2014 did not graduate within four years, by 2018. To improve graduation rates, Oregon voters approved Ballot Measure 98 in 2016 to fund dropout prevention and college and career readiness initiatives in high schools. Many districts used the funding to adopt an early indicator and intervention system (EIIS) to identify students who are not on track to graduate on time by monitoring related indicators, such as chronic absenteeism, disciplinary infractions, course progression, and academic performance, through a frequently updated data system. Districts can tailor the system by setting their own on-track thresholds for each indicator to identify students at risk of not graduating on time, assigning those students to interventions, and monitoring student response to the interventions.
This study took advantage of the additional funding being offered to districts across the state to look at first-year effects on chronic absenteeism, disciplinary infractions, course progression, and academic performance by comparing the outcomes in 65 districts that adopted an EIIS to the outcomes in a set of similar districts that used the additional funding for other dropout prevention or college and career readiness initiatives. The study offers insight into the effectiveness of early efforts to scale up EIISs, a popular school-level intervention. EIIS adoption appears to have reduced the percentage of students who were chronically absent by 3.9 percentage points but does not appear to have had positive effects on the three other student outcomes during the first year: the percentage of students with disciplinary infractions, the percentage of grade 10 students who had acquired enough credits by the end of grade 9 to be considered on track for on-time graduation, or the percentage of grade 11 students meeting or exceeding proficiency standards on state math and English language arts tests. The findings offer the Oregon Department of Education information on the early effects of its efforts to promote EIIS across Oregon. The findings can also be used by other state and district education leaders to inform their considerations to scale up EIIS or other similar programs.
|REL 2021111||Professional Development Incentives for Oregon's Early Childhood Education Workforce: A Randomized Study
Many states seek to increase the education levels of their early childhood education (ECE) workforce to improve the quality of care for children. Oregon encourages all ECE workforce members to sign up for a career lattice, a career pathway system that helps them determine goals related to increasing their education. The state also offers incentives for reaching specific steps in the career lattice and scholarships for college credit and community-based training. This study used two randomized controlled trials in 2018 and 2019 to test whether sending emails and offering different financial incentives to Oregon ECE workforce members increased career lattice sign-up and increased education and training levels or workplace retention. The study found that sending emails encouraging career lattice sign-up had no detectable impact on career lattice sign-up or workplace retention. Sending emails offering a monetary incentive at an earlier-than-usual step on the career lattice had a positive impact on training hours recorded but no detectable impact on career lattice movement, college credit hours earned, or workplace retention. Sending emails about automatic enrollment in a scholarship program had no detectable impact on scholarship use, career lattice movement, college credit hours earned, or workplace retention. Lastly, after participants were randomly assigned to study groups, the email campaigns were implemented as planned, reaching all intended participants, although the interventions ended sooner than planned because of a state policy change. The findings suggest that low-touch interventions such as emails have promise for increasing training hours but are not sufficient to induce changes in career lattice sign-up, continuing postsecondary education, or workplace retention for Oregon ECE workforce members. These results have implications for future research, in addition to demonstrating how better messaging and supports can mitigate barriers to further education and training and how email campaigns can be leveraged for workforce communication efforts. This information is particularly relevant for state agencies and education and training providers.