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Amy Overbay; Christopher W. Thurley – Writing Center Journal, 2024
As institutions cope with the difficult task of managing scarce resources to support student learning, college writing centers, like other student services, need to be able to articulate and, at times, quantify the benefits they offer the populations they serve. This study examined outcomes associated with visiting the writing center at one…
Descriptors: Community Colleges, Laboratories, Writing (Composition), Academic Achievement
Cecilia Mezzanotte; Claire Calvel – OECD Publishing, 2023
Calls for increased monitoring and evaluation of education policies and practices have not, so far, included widespread and consistent assessments of the inclusiveness of education settings. Measuring inclusion in education has proven to be a challenging exercise, due not only to the complexity and different uses of the concept, but also to its…
Descriptors: Educational Indicators, Inclusion, Educational Policy, Equal Education
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Pek, Jolynn; Van Zandt, Trisha – Psychology Learning and Teaching, 2020
Statistical thinking is essential to understanding the nature of scientific results as a consumer. Statistical thinking also facilitates thinking like a scientist. Instead of emphasizing a "correct" procedure for data analysis and its outcome, statistical thinking focuses on the process of data analysis. This article reviews frequentist…
Descriptors: Bayesian Statistics, Thinking Skills, Data Analysis, Evaluation Methods
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Madsen, Miriam – Journal of Education Policy, 2021
The increased use of quantitative education data is often regarded by scholars as evidence of the emergence of 'governing by numbers'. These scholars ascribe major stakeholders such as the OECD and nation states agency as they produce, distribute and consume data, and respond to these with policy and management initiatives. This paper argues that…
Descriptors: Measurement, Evaluation Methods, Qualitative Research, Data Analysis
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Karimi, Hamid; Derr, Tyler; Huang, Jiangtao; Tang, Jiliang – International Educational Data Mining Society, 2020
Online learning has attracted a large number of participants and is increasingly becoming very popular. However, the completion rates for online learning are notoriously low. Further, unlike traditional education systems, teachers, if any, are unable to comprehensively evaluate the learning gain of each student through the online learning…
Descriptors: Online Courses, Academic Achievement, Prediction, Teaching Methods
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Robert Meyer; Tracy Diel; Rinor Jahiu; Hayley Tymeson – Society for Research on Educational Effectiveness, 2023
Background: This paper considers a new policy and statistical framework for evaluating K-12 schools and policies that aligns with diversity, equity, and inclusion values. The new approach broadens the standard approach to accountability and evaluation by combining features of evaluation and multi-level growth models with approaches used in systems…
Descriptors: Accountability, Inclusion, Diversity, Equal Education
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Sales, Adam C.; Botelho, Anthony; Patikorn, Thanaporn; Heffernan, Neil T. – International Educational Data Mining Society, 2018
Randomized A/B tests in educational software are not run in a vacuum: often, reams of historical data are available alongside the data from a randomized trial. This paper proposes a method to use this historical data--often highdimensional and longitudinal--to improve causal estimates from A/B tests. The method proceeds in two steps: first, fit a…
Descriptors: Courseware, Data Analysis, Causal Models, Prediction
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Pereira, Filipe D.; Oliveira, Elaine H. T.; Oliveira, David B. F.; Cristea, Alexandra I.; Carvalho, Leandro S. G.; Fonseca, Samuel C.; Toda, Armando; Isotani, Seiji – British Journal of Educational Technology, 2020
Tools for automatic grading programming assignments, also known as Online Judges, have been widely used to support computer science (CS) courses. Nevertheless, few studies have used these tools to acquire and analyse interaction data to better understand the students' performance and behaviours, often due to data availability or inadequate…
Descriptors: Introductory Courses, Programming, Outcomes of Education, Student Behavior
Manning, Terri Mulkins – Achieving the Dream, 2020
The Institutional Capacity Assessment Tool (ICAT) helps colleges identify strengths and areas for improvement in light of best practices in seven key areas: (1) Leadership and Vision; (2) Data and Technology; (3) Equity; (4) Teaching and Learning; (5) Engagement and Communication; (6) Strategy and Planning; and (7) Policies and Practices. The tool…
Descriptors: Capacity Building, Best Practices, Educational Improvement, Instructional Leadership
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Raikes, Abbie; Sayre, Rebecca; Davis, Dawn; Anderson, Kate; Hyson, Marilou; Seminario, Evelyn; Burton, Anna – Early Years: An International Journal of Research and Development, 2019
Measuring Early Learning Quality & Outcomes (MELQO) was initiated to address needs for child development and quality of early childhood education (ECE) data, specifically for low- and middle-income countries. Drawing from existing tools, MELQO convened a consortium to create open-source tools to be adapted to national contexts, simultaneously…
Descriptors: Educational Quality, Outcomes of Education, Child Development, Early Childhood Education
Villani, Susan; Mundry, Susan; Cobb, Velma; Henry, Susan; Schlanger, Phoebe; Shaffer, Susan; Basterra, Maria del Rosario – Center for Education Equity, Mid-Atlantic Equity Consortium, 2021
This guide is designed to help teachers and administrators use data to continuously improve equity in schools. Educators can also use data to engage students, parents/guardians, the community, and others who want to make positive changes in schools to increase equity. The purposes of the guide are to: (1) Introduce MAEC's Equity Audit Tools as a…
Descriptors: Equal Education, Data Analysis, Audits (Verification), Educational Improvement
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Goodwin, Adam; Chittle, Laura; Dixon, Jess C.; Andrews, David M. – Assessment & Evaluation in Higher Education, 2018
A multi-disciplinary academic unit at a Canadian university completed an evaluation of course syllabi used in its undergraduate programmes over the previous five years. This paper examines the reasons for the evaluation, the processes employed to collect and analyse the data, and how the results will be incorporated into the next steps of the…
Descriptors: Foreign Countries, College Curriculum, Curriculum Evaluation, Course Descriptions
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Thorpe, Angie; Lukes, Ria; Bever, Diane J.; He, Yan – portal: Libraries and the Academy, 2016
In an age of assessment and accountability, academic libraries feel much pressure to prove their value according to new university measurements of student success. This study describes a methodology for how libraries may examine student interactions with services to assess whether library usage impacts student grade point averages (GPAs) and…
Descriptors: Academic Libraries, Academic Achievement, Success, Measurement
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Malone, Nolan; Narayan, Krishna; Mark, Lauren; Miller, Kirsten; Kekahio, Wendy – Regional Educational Laboratory Pacific, 2014
As educators are increasingly called on to use data to inform improvement initiatives (and are being held accountable for doing so), there is a corresponding need for program leaders to monitor progress. Program monitoring--the systematic and continual observation and recording of key program aspects--can provide leaders with realistic assessments…
Descriptors: Program Evaluation, Leadership Role, Planning, Program Development
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Rust, Dianna Z.; Ikard, William L. – Journal of Continuing Higher Education, 2016
Prior learning assessment (PLA) is the process of evaluating learning, regardless of when or where the learning occurred, and, if the learning is at the college level, awarding college credit to the possessor of that learning. This article provides an overview of the PLA program at a large public U.S. institution and presents the findings of the…
Descriptors: Prior Learning, Public Colleges, Higher Education, Outcomes of Education
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