The share of K-12 schools in the United States who used hybrid teaching methods has increased since **************. At the beginning of **************, **** percent of K-12 schools were teaching students with a hybrid method (both virtual and in-person instruction) due to the ******** pandemic. This figure increased to **** percent of K-12 schools by *************.

The dataset consists of interviews with classroom teachers on their experiences of implementing distance teaching in the spring of 2020. The interviewees are primary school classroom teachers. The interviews with the classroom teachers examined how they had implemented distance teaching and what their average day of distance teaching was like. In addition, the interviewees were asked which aspects of distance teaching had been challenging and which aspects had been positive for them. The interviewees' views on what is essential for good distance teaching and what they missed about face-to-face teaching were also investigated. Other topics covered in the interviews included the assessment of student work during distance learning and the support provided by the school during the transition to distance teaching. Finally, the interviewees were asked about their own professional development during the period of distance teaching. Background information included the interviewee's gender and the grade taught by the interviewee. The data were organised into an easy to use HTML version at FSD. The dataset is available only in Finnish.

This report is prepared pursuant to Local Law 226 of 2019 regarding the demographics of school staff in New York City public schools. The law specifies the reporting of demographics (gender and race or ethnicity) for schools staff in three categories: teaching staff, leadership staff, and other professional and paraprofessional staff. Consistent with the law, the data is further disaggregated to show length of experience in the school and length of experience in the title. The data is shown for each school and aggregated for each community school district, by borough, and citywide. The following additional notes apply:

Student enrollment data disaggregated by students from low-income families, students from each racial and ethnic group, gender, English learners, children with disabilities, children experiencing homelessness, children in foster care, and migratory students for each mode of instruction.

The preparedness for providing students with the necessary material for distance online learning amidst the spread of the COVID-19 pandemic in Latin America and the Caribbean has been challenging in different degrees depending on the school level. According to a survey carried out between May and June 2020 in the region, in three out of four of the analized countries secondary school teachers were trained to use online platforms. Meanwhile, this figure was true for ** percent of countries in the case of pre-primary school teachers.

Abstract

The dashboard project collects new data in each country using three new instruments: a School Survey, a Policy Survey, and a Survey of Public Officials. Data collection involves school visits, classroom observations, legislative reviews, teacher and student assessments, and interviews with teachers, principals, and public officials. In addition, the project draws on some existing data sources to complement the new data it collects. A major objective of the GEPD project was to develop focused, cost-effective instruments and data-collection procedures, so that the dashboard can be inexpensive enough to be applied (and re-applied) in many countries. The team achieved this by streamlining and simplifying existing instruments, and thereby reducing the time required for data collection and training of enumerators.

Geographic coverage

National

Analysis unit

Schools, teachers, students, public officials

Kind of data

Sample survey data [ssd]

Sampling procedure

The aim of the Global Education Policy Dashboard school survey is to produce nationally representative estimates, which will be able to detect changes in the indicators over time at a minimum power of 80% and with a 0.05 significance level. We also wish to detect differences by urban/rural location.

For our school survey, we will employ a two-stage random sample design, where in the first stage a sample of typically around 200 schools, based on local conditions, is drawn, chosen in advance by the Bank staff. In the second stage, a sample of teachers and students will be drawn to answer questions from our survey modules, chosen in the field. A total of 10 teachers will be sampled for absenteeism. Five teachers will be interviewed and given a content knowledge exam. Three 1st grade students will be assessed at random, and a classroom of 4th grade students will be assessed at random. Stratification will be based on the school’s urban/rural classification and based on region. When stratifying by region, we will work with our partners within the country to make sure we include all relevant geographical divisions.

For our Survey of Public Officials, we will sample a total of 200 public officials. Roughly 60 officials are typically surveyed at the federal level, while 140 officials will be surveyed at the regional/district level. For selection of officials at the regional and district level, we will employ a cluster sampling strategy, where roughly 10 regional offices (or whatever the secondary administrative unit is called) are chosen at random from among the regions in which schools were sampled. Then among these 10 regions, we also typically select around 10 districts (tertiary administrative level units) from among the districts in which schools werer sampled. The result of this sampling approach is that for 10 clusters we will have links from the school to the district office to the regional office to the central office. Within the regions/districts, five or six officials will be sampled, including the head of organization, HR director, two division directors from finance and planning, and one or two randomly selected professional employees among the finance, planning, and one other service related department chosen at random. At the federal level, we will interview the HR director, finance director, planning director, and three randomly selected service focused departments. In addition to the directors of each of these departments, a sample of 9 professional employees will be chosen in each department at random on the day of the interview.

Sampling deviation

Overall, we draw a sample of 300 public schools from each of the regions of Ethiopia. As a comparison to the total number of schools in Ethiopia, this consistutes an approximately 1% sample. Because of the large size of the country, and because there can be very large distances between Woredas within the same region, we chose a cluster sampling approach. In this approach, 100 Woredas were chosen with probability proportional to 4th grade size. Then within each Woreda two rural and one urban school were chosen with probability proportional to 4th grade size.

Because of conflict in the Tigray region, an initial set of 12 schools that were selected had to be trimmed to 6 schools in Tigray. These six schools were then distributed to other regions in Ethiopia.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The dashboard project collects new data in each country using three new instruments: a School Survey, a Policy Survey, and a Survey of Public Officials. Data collection involves school visits, classroom observations, legislative reviews, teacher and student assessments, and interviews with teachers, principals, and public officials. In addition, the project draws on some existing data sources to complement the new data it collects. A major objective of the GEPD project was to develop focused, cost-effective instruments and data-collection procedures, so that the dashboard can be inexpensive enough to be applied (and re-applied) in many countries. The team achieved this by streamlining and simplifying existing instruments, and thereby reducing the time required for data collection and training of enumerators.

More information pertaining to each of the three instruments can be found below:

• School Survey: The School Survey collects data primarily on practices (the quality of service delivery in schools), but also on some de facto policy indicators. It consists of streamlined versions of existing instruments—including Service Delivery Surveys on teachers and inputs/infrastructure, Teach on pedagogical practice, Global Early Child Development Database (GECDD) on school readiness of young children, and the Development World Management Survey (DWMS) on management quality—together with new questions to fill gaps in those instruments. Though the number of modules is similar to the full version of the Service Delivery Indicators (SDI) Survey, the number of items and the complexity of the questions within each module is significantly lower. The School Survey includes 8 short modules: School Information, Teacher Presence, Teacher Survey, Classroom Observation, Teacher Assessment, Early Learner Direct Assessment, School Management Survey, and 4th-grade Student Assessment. For a team of two enumerators, it takes on average about 4 hours to collect all information in a given school. For more information, refer to the Frequently Asked Questions.

• Policy Survey: The Policy Survey collects information to feed into the policy de jure indicators. This survey is filled out by key informants in each country, drawing on their knowledge to identify key elements of the policy framework (as in the SABER approach to policy-data collection that the Bank has used over the past 7 years). The survey includes questions on policies related to teachers, school management, inputs and infrastructure, and learners. In total, there are 52 questions in the survey as of June 2020. The key informant is expected to spend 2-3 days gathering and analyzing the relavant information to answer the survey questions.

• Survey of Public Officials: The Survey of Public Officials collects information about the capacity and orientation of the bureaucracy, as well as political factors affecting education outcomes. This survey is a streamlined and education-focused version of the civil-servant surveys that the Bureaucracy Lab (a joint initiative of the Governance Global Practice and the Development Impact Evaluation unit of the World Bank) has implemented in several countries. The survey includes questions about technical and leadership skills, work environment, stakeholder engagement, impartial decision-making, and attitudes and behaviors. The survey takes 30-45 minutes per public official and is used to interview Ministry of Education officials working at the central, regional, and district levels in each country.

Sampling error estimates

The aim of the Global Education Policy Dashboard school survey is to produce nationally representative estimates, which will be able to detect changes in the indicators over time at a minimum power of 80% and with a 0.05 significance level.

The Annual Arts Education survey collects information on student participation in and access to arts education at NYCDOE schools. Please note the following arts-related data are now collected from other sources: The number of certified art teachers and non-certified teachers teaching the arts is collected form the HR and BEDS survey The arts instructional hours provided to elementary students are collected from the Student Transcript and Academic Recording System (STARS) The middle and high school participation in the arts data and the NYSED requirement data are collected form STARS and the HS arts sequence data are also collected form STARS

The purpose of the ASSISTments Replication Study is to conduct a replication study of the impact of a fully developed, widely adopted intervention called ASSISTments on middle school student mathematics outcomes. ASSISTments is an online formative assessment platform that provides immediate feedback to students and supports teachers in their use of homework to improve math instruction and learning. Findings from a previous IES-funded efficacy study, conducted in Maine, indicated this intervention led to beneficial impacts on student learning outcomes in 7th grade. The current study examined the impacts of this intervention with a more diverse sample and relied on trained local math coaches (instead of the intervention developers) to provide professional development and support to teachers. Participating schools (and all 7th grade math teachers in the school) in this study were randomly assigned to either a treatment or control group. Teachers participated in the project over a two year period, the 2018-19 school year and the 2019-20 school year. The 2018-19 school year was to serve as a ramp-up year. Data used in the final analysis was collected during the second year of the study, the 2019-20 school year. The data contained in this project is primarily from the 2019-20 school year and includes student ASSISTments usage data, teacher ASSISTments usage data, student outcome data, and teacher instructional log data. Student outcome data is from the online Mathematics Readiness Test for Grade 8 developed by Math Diagnostic Test Project (MDTP). The teacher instructional log had teachers to answer questions about their daily instructional practices over the span of 5 consecutive days of instruction. They were asked to participate in 3 rounds of logs over the course of the 2019-2020 school year. Student and teacher usage data of ASSISTments were collected automatically as they used the system. The usage data was limited to treatment group only. Other data (outcome data, teacher instructional log data) were collected from both treatment and control groups.

This project explores social studies teachers’ self-reported instructional decision-making about teaching the 2020 election in U.S. secondary schools. We analyzed survey responses from 1,723 secondary social studies teachers from 12 diverse states (three left-leaning, three right-leaning, six battleground) in the weeks after the election, examining self-reported pedagogies, topics taught, civic education ideology, and overall frequency of teaching about the 2020 election.

This dataset tracks annual total classroom teachers amount from 2016 to 2020 for Disciplinary Alternative Education Program

This dataset tracks annual total classroom teachers amount from 2016 to 2020 for Alternative Education Center At Lamar

The TU4Teachers project collects data from pre-service teachers at the Technische Universität Braunschweig for the purpose of tracking their student career development and also for the evaluation of the teacher training program as a whole. In this study, pre-service teachers are defined as German university students who are studying for a teaching degree in order to be able to teach in schools. The dataset presented here contains a sub-sample of the overall project, which deals with the impact of the COVID-19 crisis on these pre-service teachers. As a global crisis, the COVID-19 pandemic hit everyone hard. Because young people at the beginning of their careers were at a crucial stage of their development when social distancing started, they were particularly affected. This influence on career planning and decisions may be particularly true for pre-service teachers, as their career perspectives changed dramatically during the crisis. The data set consists of two cohorts of student teachers who started their studies in the winter semester of 18/19 and in the winter semester of 19/20. In addition, the dataset contains three measurement points structured for the Corona crisis: January 2020 (and thus before the beginning of the crisis), April 2020 (at the beginning of the lockdown, switch to online teaching), June 2020 ( during a period of relative relaxation). In addition to demographic variables (age, gender, cohort), the dataset includes questionnaire variables on resilience (10 items, Schulte et al., 2016), social support (1 item, Wittner et al., 2019, 2020), perception of the Corona crisis as a career shock (1 item, Bright et al., 2005), and confidence in vocational choice (3 items, Neuenschwander et al., 2013).

The share of K-12 schools in the United States who taught virtually has declined since September 2020. At the beginning of September 2020, **** percent of K-12 schools were teaching students virtually due to the COVID-19 pandemic. This figure declined to **** percent of K-12 schools by February 2021.

This file includes Report Card summary data on Student Access to Teacher for the 2020-21 school year. Data is disaggregated by school, ESD, LEA, and the state level. Student access rates to teachers by teacher qualification are provided for student groups and characteristics and by student race/ethnicity. Teacher qualifications included are: Inexperienced, experienced, limited-certificated, fully-certificated, out-of-field, and in-field. Please review the notes below for more information.

This file includes Report Card data on student access to teachers rates by school Title I served status for the 2020-21 school year. Data is disaggregated by school, ESD, LEA, and the state level. Please review the notes below for more information.

Local Law 102 enacted in 2015 requires the Department of Education of the New York City School District to submit to the Council an annual report concerning physical education for the prior school year. This report provides information about the provision of physical education instruction, including the number and percentage of students who received or were scheduled to receive the required amount of PE instruction, average PE class size, PE instruction received by students who have an IEP with an adaptive physical education recommendation, the ratio of licensed physical education instructors, and the number of licensed instructors who have received physical education professional development in the preceding two school years. In prior years, this report provided information about physical education instructional spaces, PE substitutions granted to students, and the average frequency and average total minutes per week of physical education students received as defined in Local Law 102. Because of the shift to blended and remote learning during the 2020-21 school year as a result of the COVID-19 Pandemic: This report consists of eleven tabs: 1. PE Instruction Borough-Level 2. PE Instruction School-Level 3. PE Instruction District-Level 4 PE Instruction Citywide-Level 5. Adapted Physical Education – School Level 6. Adapted Physical Education – District Level 7. Adapted Physical Education – Borough Level 8. Licensed PE Teachers 9. Professional Development 10. Supplemental Programs 11. PE Scope and Sequence

As concerns about Covid-19 rapidly escalated in March 2020 in the United States, all levels of education were impacted. A unique population (student teachers) faced challenges from two perspectives: as students and as teachers forced to teach and learn from a distance. Student Teachers, or preservice teachers (PST), are university students finishing a degree and/or teacher certification program by serving as an intern in a school setting. As schools were closed, these PSTs may not have been given access to the online learning platforms of their cooperating teachers (CT) and were no longer included in classroom instruction. The purpose of this study was to examine how the sudden shift away from traditional face-to-face instruction, co-teaching, and mentorship affected the involvement of music PSTs and their CT mentors in one region of the United States. Specifically, the research questions were: (1) How and in what ways were PSTs involved in planning, instruction, and/or assessment synchronously and asynchronously after school closures? (2) In what subdomains (performance, music theory/ear-training, etc.) were PSTs engaged in instruction and learning activities? (3) What challenges and solutions did PSTs report related to Covid-19 closures? A survey was sent, via email, to PSTs attending teacher preparation programs at universities in the state of Georgia at the end of the spring semester. Thirty-seven participants responded to the survey questions representing about 32% of all PSTs in Georgia in Spring 2020. Twenty-one were not given access to the online teaching platform of their placement school. A thematic analysis of the open-ended questions identified common themes including whether experiences were perceived as negative or positive. Of the PSTs given access, the majority of their responsibilities and experiences were creating assignments, additional help videos, participating in Zoom meetings, and assessing student assignment submissions. Of these experiences, interestingly, most were classified as positive by the PSTs. However, the importance of face-to-face interactions for both PST and the P-12 students was mentioned throughout survey responses. Approximately 10 PSTs mentioned their CT relationship/interaction and four of the respondents noted that their CT never reached out for help; however, six noted collaborative meetings or teaching with their CT. Importantly, some PSTs reported a lack of knowledge related to the planning and implementation of music instruction in the online modality. Therefore, teacher preparation programs should consider incorporating technology including online solutions into the music curriculum so that future music educators may more flexibly incorporate both in-person and distance learning.

This dataset tracks annual total classroom teachers amount from 2017 to 2020 for Oregon Virtual Education