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Altringer, Levi; Summers, Jeffrey – Research in Higher Education, 2015
We define pricing power as a college's ability to increase its net tuition revenue by raising its sticker-price for tuition. The greater is the positive effect of sticker-price increases on net tuition revenue, the greater is the pricing power. We gauge variation in the pricing power of private, non-profit baccalaureate colleges by estimating this…
Descriptors: Private Colleges, Tuition, Educational Finance, Economic Climate
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Peck, Laura R. – American Journal of Evaluation, 2015
Several analytic strategies exist for opening up the "black box" to reveal more about what drives policy and program impacts. This article focuses on one of these strategies: the Analysis of Symmetrically-Predicted Endogenous Subgroups (ASPES). ASPES uses exogenous baseline data to identify endogenously-defined subgroups, keeping the…
Descriptors: Program Evaluation, Credibility, Prediction, Sample Size
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Daniel, Ben – British Journal of Educational Technology, 2015
Institutions of higher education are operating in an increasingly complex and competitive environment. This paper identifies contemporary challenges facing institutions of higher education worldwide and explores the potential of Big Data in addressing these challenges. The paper then outlines a number of opportunities and challenges associated…
Descriptors: Higher Education, Statistical Data, Data Analysis, Program Implementation
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Martin, Daniel P.; von Oertzen, Timo; Rimm-Kaufman, Sara E. – Society for Research on Educational Effectiveness, 2015
There is an increasing number of datasets with many participants, variables, or both, in education and other fields that often deal with large, multilevel data structures. Once initial confirmatory hypotheses are exhausted, it can be difficult to determine how best to explore the dataset to discover hidden relationships that could help to inform…
Descriptors: Data Analysis, Nonparametric Statistics, Feasibility Studies, Educational Research
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Ebadi, Saman; Pourahmadi, Fereshteh – Journal on English Language Teaching, 2019
This study is intended to explore challenges in writing master theses from postgraduate English as Foreign Language (EFL) students' and supervisors' perspectives. To do so, 40 EFL postgraduate students and 10 supervisors were selected nonrandomly based on availability sampling from five major Iranian universities. Qualitative data were gathered…
Descriptors: Foreign Countries, Graduate Students, Writing (Composition), Second Language Learning
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Kelchen, Robert; Rosinger, Kelly Ochs; Ortagus, Justin C. – AERA Open, 2019
As state governments seek to improve the performance of institutions of K-12 and higher education, they often adopt educational policies that have similar names but different characteristics across states and with variations over time within states. Yet quantitative analyses generally examine the absence or presence of an educational policy…
Descriptors: Educational Policy, Policy Analysis, Educational Finance, Data Analysis
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Cunningham-Nelson, Samuel; Baktashmotlagh, Mahsa; Boles, Wageeh – IEEE Transactions on Education, 2019
Contribution: An automated methodology that provides visualizations of students' free text comments from course satisfaction surveys. Focusing on sentiment, these visualizations reveal learning and teaching aspects of the course that either may require improvement or are performing well. They provide educators with a simple, systematic way to…
Descriptors: Student Attitudes, Visualization, Course Evaluation, Teaching Methods
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Barros, Thiago M.; Souza Neto, Plácido A.; Silva, Ivanovitch; Guedes, Luiz Affonso – Education Sciences, 2019
Predicting school dropout rates is an important issue for the smooth execution of an educational system. This problem is solved by classifying students into two classes using educational activities related statistical datasets. One of the classes must identify the students who have the tendency to persist. The other class must identify the…
Descriptors: Predictor Variables, Models, Dropout Rate, Classification
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Wright, Suzie; Fitzallen, Noleine; Shelley, Becky; Lang, Megan – Teaching Science, 2019
Inspiring children to pursue a career in science is a worthy pursuit for many reasons. One way to achieve this is to actively engage children in science, technology, engineering, and mathematics (STEM) learning from an early age. However, it is not always possible to integrate all the STEM fields in one activity. Rather, careful consideration of…
Descriptors: STEM Education, Vocational Interests, Elementary School Students, Student Research
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Macgilchrist, Felicitas – Learning, Media and Technology, 2019
As digital data become increasingly central to education, hopes for educational equity are pinned more strongly on educational technology providers. This paper examines the data practices of edtech providers who are not simply making token gestures towards justice and equality. Drawing on ethnographic interviews and Berlant's notion of cruel…
Descriptors: Educational Technology, Ethnography, Data Analysis, Equal Education
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Jones, Kyle M. L.; McCoy, Chase – Learning, Media and Technology, 2019
In this article, we argue that the contributions of documentation studies can provide a useful framework for analyzing the datafication of students due to emerging learning analytics (LA) practices. Specifically, the concepts of individuals being 'made into' data and how that data is 'considered as' can help to frame vital questions concerning the…
Descriptors: Data Analysis, Documentation, Guidelines, Data Collection
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Verger, Antoni; Fontdevila, Clara; Parcerisa, Lluís – Discourse: Studies in the Cultural Politics of Education, 2019
In the last decades, most countries have adopted data-intensive policy instruments aimed at modernizing the governance of education systems, and strengthening their competitiveness. Instruments such as national large-scale assessments and test-based accountabilities have disseminated widely, to the point that they are being enacted in countries…
Descriptors: Accountability, Governance, Educational Policy, Data Analysis
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Ferguson, Sarah – Mathematics Teaching in the Middle School, 2019
Building sets, video games, and scatterplots may seem unrelated, but when they are combined into a problem-based learning (PBL) lesson, these elements join to create a unique learning experience. PBL lessons drive instruction by focusing learning and activities around a central challenge or question while providing a relevant, captivating, and…
Descriptors: Mathematics Instruction, Teaching Methods, Problem Based Learning, Problem Solving
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Larson, Eric C.; Vieregger, Carl – Journal of Information Systems Education, 2019
This teaching case highlights the complex and unique strategic issues facing social media platform companies, using Facebook as the primary, motivating example. The case centers on the breach of trust that occurred when Cambridge Analytica acquired user data from 87 million Facebook accounts and then attempted to sway the 2016 U.S. Presidential…
Descriptors: Social Media, Strategic Planning, Trust (Psychology), Users (Information)
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Davari, Mehraneh; Noursalehi, Payam; Keramati, Abbas – Journal of Marketing for Higher Education, 2019
In this research, a combination of both quantitative and qualitative approaches is used to identify different market segments in the education industry. To solve the research problem, an exploratory approach to data mining is used and, using a series of interviews with experts, the factors affecting segmentation are identified. Then, using the…
Descriptors: Data Analysis, Competition, Expertise, Research and Development
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