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Tim Gill – Cambridge University Press & Assessment, 2024
Core Maths (CM) qualifications were introduced into the post-16 curriculum in England in 2014, with first assessments in 2016. They are a suite of qualifications aimed at students who achieve a grade 4 (originally a grade C) or higher at GCSE Maths but do not go on to take AS or A level Maths. This group comprised around 40% of all students in…
Descriptors: Mathematics Education, Educational Objectives, Mathematics Curriculum, Higher Education
Amanda J. Shaker; Christopher Brignell; Mathew Pugh – International Journal of Mathematical Education in Science and Technology, 2025
A commonly-held belief is that many university students are 'assessment-driven'; that is, students engage more with activities that are assessed compared with those that are not. 'Incentivised engagement' includes the practice of providing incentives (such as marks or otherwise) for students to engage in particular activities. Perusall is a social…
Descriptors: Undergraduate Students, Reading Assignments, Educational Technology, Technology Uses in Education
Andrea Parma; Tommaso Agasisti; Costanzo Ranci – British Educational Research Journal, 2024
In Italy, parents are free to choose the primary school for their children without restrictions imposed by catchment areas. This freedom of choice, inspired by quasi-market mechanisms, aims to foster competition between schools and raise educational standards. Analysing the case of Milan using regression models and administrative data for the…
Descriptors: Foreign Countries, School Choice, Elementary School Students, Elementary Education
de Vogel, Susanne – Higher Education: The International Journal of Higher Education Research, 2023
In Germany, the final grade of a doctorate is significant for careers inside and outside the academic labor market. Particularly important is the highest grade--"summa cum laude." At the same time, doctoral grades are constantly subject to criticism. Thus far, however, neither German nor international studies have examined the…
Descriptors: Foreign Countries, Doctoral Students, Grades (Scholastic), Academic Achievement
Bryan Keller; Zach Branson – Asia Pacific Education Review, 2024
Causal inference involves determining whether a treatment (e.g., an education program) causes a change in outcomes (e.g., academic achievement). It is well-known that causal effects are more challenging to estimate than associations. Over the past 50 years, the potential outcomes framework has become one of the most widely used approaches for…
Descriptors: Causal Models, Educational Research, Regression (Statistics), Probability
Rusteholz, Gisela; Mediavilla, Mauro; Pires, Luis – Journal of School Violence, 2023
Bullying is a problem that affects children and teenagers around the world and its repercussions can endure throughout adult life. The main objective of this research is to study the incidence of bullying on the academic performance of students in schools in the Madrid Region. The databases used are those of Competency Tests, a census evaluation…
Descriptors: Foreign Countries, Bullying, Academic Achievement, Grade 10
Egle Jakucionyte; Indre Pusevaite; Swapnil Singh – Journal of Education and Work, 2024
This paper studies the effect of school closures on student outcomes in the Lithuanian context. Using administrative student-level data from 2013-2017 and propensity score matching, we create a balanced sample of control and treatment groups. In contrast to other studies, we focus on students in the final years of high school, possibly eliciting…
Descriptors: Foreign Countries, School Closing, High School Seniors, High School Graduates
Scott, Terrance M. – TEACHING Exceptional Children, 2023
Decades of educational research have demonstrated that students are most likely to be successful when instruction is explicit and engaging and provides students with multiple opportunities to practice with teacher feedback. To be explicit means more than simply telling students what to do. It is the teacher's responsibility to help the student…
Descriptors: Probability, Academic Achievement, Direct Instruction, Prior Learning
Anderson, Darcie L.; Hooks, Tisha – Journal of College Student Retention: Research, Theory & Practice, 2022
With limited budgets and increasing enrollment demands, colleges need fast, free, and practical solutions supporting academic success and retention. The Academic Reality Check (ARC) tool helps to predict traditional freshmen awareness of their own academic expectations in college quickly, supporting the financial investment being made by all…
Descriptors: College Freshmen, Expectation, Predictor Variables, Academic Achievement
Shao, Lucy; Levine, Richard A.; Guarcello, Maureen A.; Wilke, Morten C.; Stronach, Jeanne; Frazee, James P.; Fan, Juanjuan – International Journal of Artificial Intelligence in Education, 2023
Propensity score matching and weighting methods are applied to balance covariates and reduce selection bias in the analysis of observational study data, and ultimately estimate a treatment effect. We wish to evaluate the impact of a Supplemental Instruction (SI) program on student success in an Introductory Statistics course. In such student…
Descriptors: Statistical Bias, Probability, Scores, Weighted Scores
Michael J. Hack – ProQuest LLC, 2024
College retention, persistence, and completion are key indicators of a successful institution, but six-year degree completion has remained stagnant in recent years (National Student Clearinghouse Research Center, 2022). Despite institutional efforts through success initiatives to keep students retained, one set of barriers to degree completion may…
Descriptors: College Students, Grade Point Average, Majors (Students), Barriers
Roberts, Nicola – Journal of Further and Higher Education, 2023
Globally, statistical analyses have found a range of variables that predict the odds of first-year students failing to progress at their Higher Education Institution (HEI). Some of these studies have included students from a range of disciplines. Yet despite the rise in the number of criminology students in HEIs in the UK, little statistical…
Descriptors: Predictor Variables, Academic Achievement, Academic Failure, College Freshmen
González, José Antonio; Giuliano, Mónica; Pérez, Silvia N. – Education and Information Technologies, 2022
Research on impact in student achievement of online homework systems compared to traditional methods is ambivalent. Methodological issues in the study design, besides of technological diversity, can account for this uncertainty. Hypothesis: This study aims to estimate the effect size of homework practice with exercises automatically provided by…
Descriptors: Undergraduate Students, Engineering Education, Electronic Learning, Problem Solving
Schonberg, Christina – Online Submission, 2023
IXL is an end-to-end teaching and learning solution that engages learners in grades Pre-K through 12 with a comprehensive curriculum and a first-of-its-kind assessment suite. A core component of IXL's assessment suite is the IXL Diagnostic, an interim assessment designed by a team of educators and mathematicians that uses Item Response Theory…
Descriptors: Academic Achievement, Achievement Tests, Computer Uses in Education, Elementary School Students
Carvalhaes, Flavio; Senkevics, Adriano S.; Ribeiro, Carlos A. Costa – Higher Education: The International Journal of Higher Education Research, 2023
This paper investigates the intersection of income and race in structuring access to higher education among students that participate in a national high-stakes exam in Brazil. Our objectives are (1) to estimate the probability of students coming from different income strata, racial groups, and performance levels to access higher education and (2)…
Descriptors: Family Income, Racial Differences, High School Graduates, College Attendance