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Joao M. Souto-Maior; Kenneth A. Shores; Rachel E. Fish – Annenberg Institute for School Reform at Brown University, 2025
Whether selection processes contribute to group-level disparities or merely reflect pre-existing inequalities is an important societal question. In the context of observational data, researchers, concerned about omitted-variable bias, assess selection-contributing inequality via a kitchen-sink approach, comparing selection outcomes of…
Descriptors: Control Groups, Predictor Variables, Correlation, Selection Criteria
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Mende, Janne – Qualitative Research Journal, 2022
Purpose: This paper aims to introduce the extended qualitative content analysis (EQCA) method to integrate data-reducing and data-complicating research steps when conducting qualitative research on the United Nations and other international institutions. Design/methodology/approach: EQCA supplements the method of qualitative content analysis,…
Descriptors: International Organizations, Content Analysis, Grounded Theory, Correlation
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Perrotta, Carlo; Selwyn, Neil – Learning, Media and Technology, 2020
In Applied AI, or 'machine learning', methods such as neural networks are used to train computers to perform tasks without human intervention. In this article, we question the applicability of these methods to education. In particular, we consider a case of recent attempts from data scientists to add AI elements to a handful of online learning…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Teaching Methods, Online Courses
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Ageitos, Noa; Puig, Blanca – Journal of Biological Education, 2021
Though argumentation is a key component of scientific knowledge construction practices, it rarely occurs in classrooms worldwide. Moreover, related literature in the context of genetics and evolution learning primarily addresses them separately. In contrast, this paper is part of broader research on genetics and evolution instruction taught…
Descriptors: Diseases, Genetics, Science Instruction, Biology
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Wassell, Charles S., Jr. – Journal of Economic Education, 2018
In 1974, and then again in 1996, Martin Feldstein published studies of the impact of the Social Security system on private saving in the U.S. economy. He found that Social Security depressed personal saving by a substantial amount--up to 50 percent. The author uses the Feldstein data and empirical models in this article to illustrate the steps in…
Descriptors: Federal Programs, Public Policy, Financial Policy, Money Management
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Brunton-Smith, Ian; Tarling, Roger – International Journal of Social Research Methodology, 2017
Missing data (attrition and non-response) are a feature of most surveys especially longitudinal/panel studies. And many such studies now have multilevel designs and hence multilevel data structures. Recent advances in imputation methodology now offer social researchers opportunities to address issues of missing data in a statistically principled…
Descriptors: Surveys, Case Studies, Longitudinal Studies, Institutionalized Persons
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Saleh, Lalu Muhammad; Suwandi, Tjipto; Hamidah – International Journal of Evaluation and Research in Education, 2016
The vigilance of an Air Traffic Control (ATC) officer determines aviation safety. The number of aviation accidents tends to be increasing in recent years. Aviation accidents may be caused by human errors (i.e. errors made by pilot or ATC officer) or unsafe work condition. Sex, age, educational background, and hours of service might affect…
Descriptors: Correlation, Educational Background, Foreign Countries, Traffic Safety
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Mahajan, Renuka; Sodhi, J. S.; Mahajan, Vishal – Education and Information Technologies, 2016
An important research area in education and technology is how the learners use e-learning. By exploring the various factors and relationships between them, we can get an insight into the learners' behaviors for delivering tailored e-content required by them. Although many tools exist to record detailed navigational activities, they don't explore…
Descriptors: Electronic Learning, Case Studies, Use Studies, Data Analysis
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Morris, Tim T.; Davies, Neil M.; Dorling, Danny; Richmond, Rebecca C.; Smith, George Davey – British Educational Research Journal, 2018
Value-added measures of educational progress have been used by education researchers and policy-makers to assess the performance of teachers and schools, contributing to performance-related pay and position in school league tables. They are designed to control for all underlying differences between pupils and should therefore provide unbiased…
Descriptors: Validity, Value Added Models, Genetics, Foreign Countries
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Hornskov, Søren; Nørgaard, Camilla; Hansen, Pernille – Nordic Journal of Studies in Educational Policy, 2019
During recent years, we have seen an increase in the complexity of school leadership as knowledge work. The new forms of knowledge available to school leadership, such as performance data and survey-based data, raise the expectation that leaders make relevant use of these knowledge resources. Theory and policy claim that new knowledge is of…
Descriptors: Epistemology, Leadership Styles, Decision Making, Data Analysis
Gibson, David C.; Webb, Mary; Ifenthaler, Dirk – International Association for Development of the Information Society, 2015
This paper briefly discusses four measurement challenges of data science or "big data" in educational assessments that are enabled by technology: 1. Dealing with change over time via time-based data. 2. How a digital performance space's relationships interact with learner actions, communications and products. 3. How layers of…
Descriptors: Measurement, Data Analysis, Psychometrics, Correlation
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Moradi, Fatemeh; Amiripour, Parvaneh – European Journal of Contemporary Education, 2017
In this study, an attempt was made to predict the students' mathematical academic underachievement at the Islamic Azad University-Yadegare-Imam branch and the appropriate strategies in mathematical academic achievement to be applied using the Data Envelopment Analysis (DEA) model. Survey research methods were used to select 91 students from the…
Descriptors: Foreign Countries, Prediction, Mathematics Achievement, Low Achievement
UNESCO Institute for Lifelong Learning, 2016
The UNESCO Institute for Lifelong Learning (UIL) has just published its fifth policy brief, entitled "Making Large-Scale Literacy Campaigns and Programmes Work." The brief provides policymakers with a set of recommendations based on an analysis of adult literacy campaigns and programmes that took place around the world between 2000 and…
Descriptors: Lifelong Learning, Educational Policy, Literacy Education, Adult Literacy
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Dorfman, Jay – Journal of Research in Music Education, 2016
Ubiquitous computing scenarios such as the one-to-one model, in which every student is issued a device that is to be used across all subjects, have increased in popularity and have shown both positive and negative influences on education. Music teachers in schools that adopt one-to-one models may be inadequately equipped to integrate this kind of…
Descriptors: Music Teachers, Music, Teaching Experience, Music Education
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Pardo, Abelardo; Han, Feifei; Ellis, Robert A. – IEEE Transactions on Learning Technologies, 2017
Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated tasks with a variety of algorithms to predict student academic performance. The former approach…
Descriptors: Student Centered Learning, Learning Theories, College Students, Academic Achievement
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