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Dylan Wiliam; Douglas Fisher; Nancy Frey – Corwin, 2024
What if there was a better way to collect and interpret assessment data that could strengthen the link between teaching and learning? "Student Assessment: Better Evidence, Better Decisions, Better Learning" is the innovative guide to show you how it is done and done right. This unique book offers a new assessment model focused on…
Descriptors: Student Evaluation, Data Collection, Evidence Based Practice, Data Use
Steven Snead – ProQuest LLC, 2024
Data-based decision-making has been a frequently used policy and practice intervention used in schools to help inform the decision-making processes of educational practitioners, with the aim of improving student outcomes. Interim benchmark assessments are designed by commercial test developers to support educators in this framework. In fact, the…
Descriptors: Student Evaluation, Data Analysis, Educational Practices, Decision Making
Robert C. Lorenz; Mirjam Jenny; Anja Jacobs; Katja Matthias – Research Synthesis Methods, 2024
Conducting high-quality overviews of reviews (OoR) is time-consuming. Because the quality of systematic reviews (SRs) varies, it is necessary to critically appraise SRs when conducting an OoR. A well-established appraisal tool is A Measurement Tool to Assess Systematic Reviews (AMSTAR) 2, which takes about 15-32 min per application. To save time,…
Descriptors: Decision Making, Time Management, Evaluation Methods, Quality Assurance
Ian Greener – International Journal of Social Research Methodology, 2024
This paper argues for three aspects of tolerance with respect to QCA research: tolerance with respect to different approaches to QCA; producing QCA research with tolerance (work that is resistant to criticism); and for QCA researchers to be clear about the tolerance of the solutions they present -- especially in terms of calibration and truth…
Descriptors: Qualitative Research, Research Methodology, Comparative Analysis, Research Design
Konstantinos I. Bougioukas; Paschalis Karakasis; Konstantinos Pamporis; Emmanouil Bouras; Anna-Bettina Haidich – Research Synthesis Methods, 2024
Systematic reviews (SRs) have an important role in the healthcare decision-making practice. Assessing the overall confidence in the results of SRs using quality assessment tools, such as "A MeaSurement Tool to Assess Systematic Reviews 2" (AMSTAR 2), is crucial since not all SRs are conducted using the most rigorous methods. In this…
Descriptors: Programming Languages, Research Methodology, Decision Making, Medical Research
Jing Chen; Bei Fang; Hao Zhang; Xia Xue – Interactive Learning Environments, 2024
High dropout rate exists universally in massive open online courses (MOOCs) due to the separation of teachers and learners in space and time. Dropout prediction using the machine learning method is an extremely important prerequisite to identify potential at-risk learners to improve learning. It has attracted much attention and there have emerged…
Descriptors: MOOCs, Potential Dropouts, Prediction, Artificial Intelligence
Watkins, Correy; Hornak, Rebekah – State Implementation and Scaling-up of Evidence-based Practices Center, 2022
Fidelity is defined as doing what is intended. The purpose of measuring fidelity is to assist with supporting implementation. Collecting fidelity data provides an opportunity to problem-solve throughout the process versus waiting for outcome data. More often than not, purchased programs and curriculum materials are missing a research-validated…
Descriptors: Fidelity, Program Implementation, Evaluation Methods, Observation
Flávio Marques; Leonardo Lignani; João Quadros; Myrna Amorim; Windson Viana; Eduardo Ogasawara; Joel dos Santos – Technology, Knowledge and Learning, 2025
Educational games help reinforce educational concepts. They help students learn through hypothesizing, probing, and reflecting upon the game environment. Understanding the impact of a game is important before deploying it in a class. Recent studies in learning analysis describe methodologies and approaches for analyzing educational games. However,…
Descriptors: Design, Educational Games, Reinforcement, Game Based Learning
Fonya Crockett Scott – ProQuest LLC, 2024
In an increasingly data-driven society, making decisions with data is a requirement not only for research scientists but also for navigating life more generally (Kjelvik & Schultheis, 2019). An informed citizenry must be prepared to discover patterns, predict outcomes, make decisions with data, and evaluate data-based claims for legitimacy and…
Descriptors: Interdisciplinary Approach, Data Use, Decision Making, Student Evaluation
Marc T. Braverman – Journal of Human Sciences & Extension, 2019
This article examines the concept of credible evidence in Extension evaluations with specific attention to the measures and measurement strategies used to collect and create data. Credibility depends on multiple factors, including data quality and methodological rigor, characteristics of the stakeholder audience, stakeholder beliefs about the…
Descriptors: Extension Education, Program Evaluation, Evaluation Methods, Planning
Ashley Taconet; Shannon Langdon; Christopher Esposito; Valerie L. Mazzotti; Mary E. Morningstar; Allison Lombardi – Intervention in School and Clinic, 2024
College and career readiness is crucial to success in postsecondary education, employment, and independent living. The College and Career Readiness for Transition (CCR4T) assessment is valid and reliable and can assist in transition planning for students with disabilities. The CCR4T assessment was designed for planning with students with and…
Descriptors: Students with Disabilities, Career Readiness, College Readiness, Individualized Education Programs
Key Student Nodes Mining in the In-Class Social Network Based on Combined Weighted GRA-TOPSIS Method
Shou, Zhaoyu; Tang, Mengxue; Wen, Hui; Liu, Jinghua; Mo, Jianwen; Zhang, Huibing – International Journal of Information and Communication Technology Education, 2023
In this paper, a key node mining algorithm of entropy-CRITIC combined weighted GRA-TOPSIS method is proposed, which is based on the network structure features. First, the method obtained multi-dimensional data of students' identities, seating relationships, social relationships, and so on to build a database. Then, the seating similarity among…
Descriptors: Social Networks, Algorithms, Network Analysis, Databases
Marissa J. Filderman; Clark McKown; Pamela Bailey; Gregory J. Benner; Keith Smolkowski – Beyond Behavior, 2023
The collection of student data through screening and progress monitoring of social and emotional learning (SEL) skills is just as important as the implementation of curriculum and practices. Monitoring skill acquisition allows teachers to identify effective practices, provide intervention, and intensify support for students who need it. In this…
Descriptors: Elementary School Students, Social Emotional Learning, Skill Development, Progress Monitoring
Firestone, William A.; Donaldson, Morgaen L. – Educational Assessment, Evaluation and Accountability, 2019
Most recent research on teacher evaluation examines evaluation's measurement properties and accountability uses. Less research studies how evaluation data can improve teaching and student learning. In other contexts, researchers have examined how teachers use data to improve their practice. From general research on teachers' data use, we apply the…
Descriptors: Teacher Evaluation, Data Use, Evaluation Methods, Decision Making
Irene-Angelica Chounta; Alejandro Ortega-Arranz; Sophia Daskalaki; Yannis Dimitriadis; Nikolaos Avouris – International Journal of Educational Technology in Higher Education, 2024
This paper aims to address Digital Readiness in Higher Education Institutions from the perspective of data-informed and evidence-based assessment of Digital Readiness. Related research suggests that existing instruments for assessing digitalization aspects are limited to self-assessment, and there is a need for data-informed frameworks that will…
Descriptors: Colleges, Technological Literacy, Stakeholders, Foreign Countries