If this Data Set is useful, and upvote is appreciated. This data approach student achievement in secondary education of two Portuguese schools. The data attributes include student grades, demographic, social and school related features) and it was collected by using school reports and questionnaires. Two datasets are provided regarding the performance in two distinct subjects: Mathematics (mat) and Portuguese language (por). In [Cortez and Silva, 2008], the two datasets were modeled under binary/five-level classification and regression tasks. Important note: the target attribute G3 has a strong correlation with attributes G2 and G1. This occurs because G3 is the final year grade (issued at the 3rd period), while G1 and G2 correspond to the 1st and 2nd-period grades. It is more difficult to predict G3 without G2 and G1, but such prediction is much more useful (see paper source for more details).

Data includes: board and school information, grade 3 and 6 EQAO student achievements for reading, writing and mathematics, and grade 9 mathematics EQAO and OSSLT. Data excludes private schools, Education and Community Partnership Programs (ECPP), summer, night and continuing education schools.

How Are We Protecting Privacy?

Results for OnSIS and Statistics Canada variables are suppressed based on school population size to better protect student privacy. In order to achieve this additional level of protection, the Ministry has used a methodology that randomly rounds a percentage either up or down depending on school enrolment. In order to protect privacy, the ministry does not publicly report on data when there are fewer than 10 individuals represented.

* Percentages depicted as 0 may not always be 0 values as in certain situations the values have been randomly rounded down or there are no reported results at a school for the respective indicator. * Percentages depicted as 100 are not always 100, in certain situations the values have been randomly rounded up.

The information in the School Information Finder is the most current available to the Ministry of Education at this time, as reported by schools, school boards, EQAO and Statistics Canada. The information is updated as frequently as possible.

This information is also available on the Ministry of Education's School Information Finder website by individual school.

Descriptions for some of the data types can be found in our glossary.

School/school board and school authority contact information are updated and maintained by school boards and may not be the most current version. For the most recent information please visit: https://data.ontario.ca/dataset/ontario-public-school-contact-information.

This dataset contains the 100 level first semester results of 229 students in South East University in Nigeria. The average score for each student is computed based on 8 courses offered in that semester. The dataset contains both the CA and Exam scores respectively. The CA amd Exam score were subsequently conveerted to percentage

This dataset contains the school performance indices (SPIs) for 2009-10 (2010), 2010-11 (2011), and 2011-12 (2012) for all schools that administered the Connecticut Academic Performance Test (CAPT). These data were published in the School Performance Reports released by the CT State Department of Education (CSDE) in December 2013 (see http://www.csde.state.ct.us/public/performancereports/20122013reports.asp) Note: Cells are left blank if there is no SPI, which happens when there are small N sizes for a particular subgroup or subject.

This dataset contains the school performance indices (SPIs) for 2009-10 (2010), 2010-11 (2011), and 2011-12 (2012) for all schools that administered the Connecticut Mastery Test (CMT). These data were published in the School Performance Reports released by the CT State Department of Education (CSDE) in December 2013 (see http://www.csde.state.ct.us/public/performancereports/20122013reports.asp) Note: Cells are left blank if there is no SPI, which happens when there are small N sizes for a particular subgroup or subject.

This dataset tracks annual distribution of students across grade levels in Performance School

New York City school level College Board AP results for 2010. Records with 5 or fewer students are suppressed. Students are linked to schools by identifying which school they attend when registering for a College Board exam. A student is only included in a school’s report if he/she self-reports being enrolled at that school. Data collected and processed by the College Board.

The average score of Polish students in terms of reading comprehension was *** points in 2022. In maths, Polish 15-year-olds scored *** points, ** points higher than the OECD average. In the natural sciences, Polish students achieved an average score of *** points, which places them in sixth place among the European Union countries. Examinations in primary school Primary school students take an exam at the end of the eighth grade. The eighth-grade exam is a mandatory exam, which means that every student must take it to graduate from school. There is no specified minimum score that a student should obtain, so the eighth-grade exam cannot be failed. The eighth-grade examination is carried out in written form. Students take the exam in three compulsory subjects, i.e., Polish language, mathematics, and a foreign language of their choice. A student may choose only the language that is taught at school as part of compulsory education classes. In 2023, primary school students in Poland had the best results in exams in the ****** language. High school graduation exam (Matura) The Matura exam is taken at the end of general secondary and technical secondary school and its result is a prerequisite for further education. In 2023, over *** thousand graduates of secondary schools passed the Matura exams. The most popular foreign language was English, passed by ** percent of students. English and mathematics were the most popular subjects at an extended level. The exam pass rate amounted to ** percent, which was ** percentage points higher than in the previous school year.

Analysis of ‘2016 - 2017 School Quality Report Results for High School Transfer’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/8f4ae7d0-2fd7-4cfd-af6e-eb952772bb52 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

New York City Department of Education 2016 - 2017 School Quality Report Results for High School Transfer. The Quality Review is a process that evaluates how well schools are organized to support student learning and teacher practice. It was developed to assist New York City Department of Education (NYCDOE) schools in raising student achievement by looking behind a school’s performance statistics to ensure that the school is engaged in effective methods of accelerating student learning.

--- Original source retains full ownership of the source dataset ---

This dataset tracks annual total students amount from 2009 to 2023 for Performance School

Analysis of ‘2013-2014 School Quality Reports Results For Elementary, Middle and K-8 Schools’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/ea995a76-f4d9-4e1e-a80a-32d9c90027bb on 13 November 2021.

--- Dataset description provided by original source is as follows ---

The Quality Review is a process that evaluates how well schools are organized to support student learning and teacher practice. It was developed to assist New York City Department of Education (NYCDOE) schools in raising student achievement by looking behind a school’s performance statistics to ensure that the school is engaged in effective methods of accelerating student learning.

--- Original source retains full ownership of the source dataset ---

2018 DC School Report Card. The sum of the student group scores using all applicable STAR framework metrics. This is a number from 0 – 100 points. Overall STAR score for the school based on all applicable framework scores and student groups. Star value assigned to the school based on the STAR score.1, 2, 3, 4, or 5. Supplemental:Metric scores are not reported for n-sizes less than 10; metrics that have an n-size less than 10 are not included in calculation of STAR scores and ratings.At the state level, teacher data is reported on the DC School Report Card for all schools, high-poverty schools, and low-poverty schools. The definition for high-poverty and low-poverty schools is included in DC's ESSA State Plan. At the school level, teacher data is reported for the entire school, and at the LEA-level, teacher data is reported for all schools only.On the STAR Framework, 203 schools received STAR scores and ratings based on data from the 2017-18 school year. Of those 203 schools, 2 schools closed after the completion of the 2017-18 school year (Excel Academy PCS and Washington Mathematics Science Technology PCHS). Because those two schools closed, they do not receive a School Report Card and report card metrics were not calculated for those schools.Schools with non-traditional grade configurations may be assigned multiple school frameworks as part of the STAR Framework. For example, a K-8 school would be assigned the Elementary School Framework and the Middle School Framework. Because a school may have multiple school frameworks, the total number of school framework scores across the city will be greater than the total number of schools that received a STAR score and rating.Detailed information about the metrics and calculations for the DC School Report Card and STAR Framework can be found in the 2018 DC School Report Card and STAR Framework Technical Guide (https://osse.dc.gov/publication/2018-dc-school-report-card-and-star-framework-technical-guide).

This dataset tracks annual distribution of students across grade levels in Performance Conservatory High School

The Quality Review is a process that evaluates how well schools are organized to support student learning and teacher practice. It was developed to assist New York City Department of Education (NYCDOE) schools in raising student achievement by looking behind a school’s performance statistics to ensure that the school is engaged in effective methods of accelerating student learning.

This dataset tracks annual total students amount from 2007 to 2023 for Performance Conservatory High School

Attendance data includes students in district 1-32, 75 (Special Education), district 79 (Alternative Schools & Programs), charter schools, home schooling. Home and hospital instruction are excluded. Pre-K data does not include NYC Early Education Centers or District Pre-K Centers therefore data is limited to those who attend K-12 schools that offer Pre-K. Transfer school counts are not in school level file. Attendance is registered to school student is attending at the time. If a student attend multiple schools in a school year the data will be reflected in multiple schools. Chronical absence is defined if a student has an attendance rate of less than 90 percent ( students who are absent 10 percent or more of the total days).

The Quality Review is a process that evaluates how well schools are organized to support student learning and teacher practice. It was developed to assist New York City Department of Education (NYCDOE) schools in raising student achievement by looking behind a school’s performance statistics to ensure that the school is engaged in effective methods of accelerating student learning.

Analysis of ‘2015 - 2016 School Quality Report Results for YABC’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/20a03571-147e-408d-b42b-5360976e5c68 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

New York City Department of Education 2015 - 2016 School Quality Report Results for YABC. The Quality Review is a process that evaluates how well schools are organized to support student learning and teacher practice. It was developed to assist New York City Department of Education (NYCDOE) schools in raising student achievement by looking behind a school’s performance statistics to ensure that the school is engaged in effective methods of accelerating student learning.

--- Original source retains full ownership of the source dataset ---