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Data Quality Campaign, 2024
Recent data from statewide assessments, scores on the National Assessment of Educational Progress (NAEP), and college remediation needs show that an increasing number of K-12 students are not performing at grade level. As schools look to support these students' learning, some districts are turning to a proven strategy for identifying the students…
Descriptors: National Competency Tests, Academic Achievement, Elementary Secondary Education, At Risk Students
Hudson-Holness, Davia; Minchala, Monica; Le, Uyen – International Journal of Research in Education and Science, 2022
Introductory Chemistry is a foundation course that provides students with the basic knowledge and skills to enable them to be successful in the subsequent General Chemistry courses. Despite being an introductory course, it is still challenging for many students, making it ideal for the implementation of various pedagogical initiatives. One such…
Descriptors: Academic Achievement, Introductory Courses, Chemistry, Identification
Marc Basque; Patrick Arseneault; Yamina Bouchamma – Canadian Journal of Educational Administration and Policy, 2025
In this qualitative study, we sought to identify the best practices emerging from professional learning communities (PLCs) in New Brunswick, Canada with regard to teacher collaboration. Established over a decade ago, PLCs are now a common practice in this province. The results of interviews conducted with teachers and principals (N = 13) show a…
Descriptors: Communities of Practice, Best Practices, Foreign Countries, Teacher Attitudes
Katherine E. Castellano; Daniel F. McCaffrey; Joseph A. Martineau – Educational Measurement: Issues and Practice, 2025
Growth-to-standard models evaluate student growth against the growth needed to reach a future standard or target of interest, such as proficiency. A common growth-to-standard model involves comparing the popular Student Growth Percentile (SGP) to Adequate Growth Percentiles (AGPs). AGPs follow from an involved process based on fitting a series of…
Descriptors: Student Evaluation, Growth Models, Student Educational Objectives, Educational Indicators
Michael Lee Williams – ProQuest LLC, 2022
This case study explores professional academic advisors' perceived usefulness of a fully implemented academic early alert technology at a four-year, public, flagship university in the Midwest. Academic early alert technology has increasingly become more common at colleges and universities during the past two decades, followed by an increasing…
Descriptors: Progress Monitoring, Educational Technology, College Students, Academic Achievement
Dignath, Charlotte; van Ewijk, Reyn; Perels, Franziska; Fabriz, Sabine – Educational Psychology Review, 2023
Self-monitoring is an integral part of self-regulated learning. Tools that foster learners' monitoring, such as learning journals, portfolios, or rubrics, are supposed to promote self-regulation and to improve performance. The aim of this meta-analysis was to examine the effectiveness of tools designed to foster monitoring on learning-related…
Descriptors: Progress Monitoring, Student Behavior, Meta Analysis, Program Effectiveness
Khamisi Kalegele – International Journal of Education and Development using Information and Communication Technology, 2023
Pragmatically, machine learning techniques can improve educators' capacity to monitor students' learning progress when applied to quality data. For developing countries, the major obstacle has been the unavailability of quality data that fits the purpose. This is partly because the in-use information systems are either not properly managed or not…
Descriptors: Artificial Intelligence, Learning Management Systems, Progress Monitoring, Data Use
Michael J. Weiss; Howard S. Bloom; Kriti Singh – Educational Evaluation and Policy Analysis, 2023
This article provides evidence about predictive relationships between features of community college interventions and their impacts on student progress. This evidence is based on analyses of student-level data from large-scale randomized trials of 39 (mostly) community college interventions. Specifically, the evidence consistently indicates that…
Descriptors: Community College Students, Intervention, Predictive Measurement, Randomized Controlled Trials
Cahill, Peter T.; Ng, Stella; Dix, Leah; Ferro, Mark A.; Turkstra, Lyn; Campbell, Wenonah N. – International Journal of Language & Communication Disorders, 2023
Background: Measuring, assessing and managing outcomes in school practice environments is difficult due to the complex nature of school communities as well as the recent shift in service-delivery models towards tiered approaches. In tiered approaches, multiple levels of service are offered to better match students' needs. Each level of service may…
Descriptors: Speech Language Pathology, Speech Therapy, Outcomes of Treatment, Foreign Countries
Anne Wicks; Robin Berkley – George W. Bush Institute, 2025
A well-designed accountability policy has four essential elements: (1) it's grounded in the belief that all students can learn and succeed; (2) it measures the academic progress of all students by campus and district over time; (3) it highlights gaps between different groups of students; and (4) it provides support and assigns consequences to…
Descriptors: Public Schools, School Effectiveness, School Policy, Educational Policy
Damian Betebenner; Charles A. DePascale – National Center for the Improvement of Educational Assessment, 2024
In the wake of the COVID-19 pandemic, educators and policymakers have scrambled to assess the impact on student learning. Popular metrics that have gained traction are the notions of "years of learning lost" or "months behind," which attempt to quantify the educational setbacks caused by the pandemic. The allure of these…
Descriptors: COVID-19, Pandemics, Progress Monitoring, Academic Achievement
Khan, Ijaz; Ahmad, Abdul Rahim; Jabeur, Nafaa; Mahdi, Mohammed Najah – Smart Learning Environments, 2021
A major problem an instructor experiences is the systematic monitoring of students' academic progress in a course. The moment the students, with unsatisfactory academic progress, are identified the instructor can take measures to offer additional support to the struggling students. The fact is that the modern-day educational institutes tend to…
Descriptors: Artificial Intelligence, Academic Achievement, Progress Monitoring, Data Collection
Andrew Ho – Teachers College Record, 2025
Background/Context: Public monitoring of educational progress and inequality often involves tracking changes in the percentage of "proficient" students across groups and over time. These trends are important signals of state and district provision of educational opportunity. I show how known flaws of this percentage metric, sometimes…
Descriptors: Educational Assessment, Progress Monitoring, Educational Trends, Educational Opportunities
Michael J. Weiss; Howard S. Bloom; Kriti Singh – Grantee Submission, 2022
This article provides evidence about predictive relationships between features of community college interventions and their impacts on student progress. This evidence is based on analyses of student-level data from large-scale randomized trials of 39 (mostly) community college interventions. Specifically, the evidence consistently indicates that…
Descriptors: Community College Students, Intervention, Predictive Measurement, Randomized Controlled Trials
Loren Lydia Baranko Faught – ProQuest LLC, 2023
Early intervention is a method institutions use to identify and support students who are having academic difficulty and might be designated as "at-risk", or more likely to leave an institution (Villano et al., 2018). Institutions often adopt early alert systems to support early intervention efforts and student retention (Barefoot et al.,…
Descriptors: Intervention, At Risk Students, Progress Monitoring, Program Implementation

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