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Attaran, Mohsen; Stark, John; Stotler, Derek – Industry and Higher Education, 2018
Business leaders around the world are using emerging technologies to capitalize on data, to create business value and to compete effectively in a digitally driven world. They rely on data analytics to accelerate time to insight and to gain a better understanding of their customers' needs and wants. However, big data and data analytics solutions in…
Descriptors: Models, Higher Education, Data Collection, Program Implementation
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Keifer-Boyd, Karen; Knochel, Aaron D.; Patton, Ryan M.; Sweeny, Robert W. – Studies in Art Education: A Journal of Issues and Research in Art Education, 2018
Mobile learning from a posthumanist critical perspective is the co-figuration of learner with geolocative mobile devices that blurs boundaries of the networked body. In this study, four art education researchers explore geolocative co-figurative possibilities of mobile learning. The authors theorize co-figurative agency and heighten awareness of…
Descriptors: Telecommunications, Handheld Devices, Art Education, Teaching Methods
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Ellinger, Andrea D.; McWhorter, Rochell – International Journal of Adult Vocational Education and Technology, 2016
This article introduces the concept of qualitative case study research as empirical inquiry. It defines and distinguishes what a case study is, the purposes, intentions, and types of case studies. It then describes how to determine if a qualitative case study is the preferred approach for conducting research. It overviews the essential steps in…
Descriptors: Qualitative Research, Case Studies, Research Design, Data Collection
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Kostopoulos, Georgios; Karlos, Stamatis; Kotsiantis, Sotiris – IEEE Transactions on Learning Technologies, 2019
Educational data mining has gained a lot of attention among scientists in recent years and constitutes an efficient tool for unraveling the concealed knowledge in educational data. Recently, semisupervised learning methods have been gradually implemented in the educational process demonstrating their usability and effectiveness. Cotraining is a…
Descriptors: Academic Achievement, Case Studies, Usability, Data Analysis
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Sirinides, Philip; Coffey, Missy – State Education Standard, 2018
Americans share an expectation that government will serve the common good, creating inescapable pressure for public agencies--especially those that serve young children--to perform well. Yet education and human services agencies continually struggle to respond to the complex conditions in which children are born. How can they address the practical…
Descriptors: Early Childhood Education, Evidence Based Practice, Decision Making, Educational Policy
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Dauenhauer, Brian D.; Keating, Xiaofen D.; Lambdin, Dolly – Journal of Teaching in Physical Education, 2018
Purpose: This study aimed to conduct an in-depth investigation into physical education data sources and collection procedures in a district that was awarded a Physical Education Program (PEP) grant. Method: A qualitative, multi-site case study was conducted in which a single school district was the overarching case and eight schools served as…
Descriptors: Physical Education Teachers, Qualitative Research, Case Studies, School Districts
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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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Groth Andersson, Signe; Denvall, Verner – American Journal of Evaluation, 2017
In recent years, performance management (PM) has become a buzzword in public sector organizations. Well-functioning PM systems rely on valid performance data, but critics point out that conflicting rationale or logic among professional staff in recording information can undermine the quality of the data. Based on a case study of social service…
Descriptors: Performance, Social Services, Case Studies, Data Collection
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Lin, Chun-Wen – Education, 2018
Some of the key issues in pedagogy are the way of students' peer learning, collaboration, and team work at school. Friendship quality is essential for academic achievement by peer learning and team work. In line with that, the aim of the present study is to examine the associations between variables that are positive perception, deliberative…
Descriptors: Undergraduate Students, Structural Equation Models, Friendship, Positive Attitudes
National Forum on Education Statistics, 2018
The Forum Guide to Reporting Civil Rights Data presents a variety of effective methods through which local education agencies (LEAs) report civil rights data to the U.S. Department of Education's Office for Civil Rights. In addition, the guide provides examples of how state education agencies can voluntarily help their LEAs with Civil Rights Data…
Descriptors: Civil Rights, Student Rights, Data, Information Utilization
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Gaševic, Dragan; Dawson, Shane; Siemens, George – TechTrends: Linking Research and Practice to Improve Learning, 2015
The analysis of data collected from the interaction of users with educational and information technology has attracted much attention as a promising approach for advancing our understanding of the learning process. This promise motivated the emergence of the new research field, learning analytics, and its closely related discipline, educational…
Descriptors: Data Collection, Educational Research, Data Analysis, Information Technology
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Lawson, Celeste; Beer, Colin; Rossi, Dolene; Moore, Teresa; Fleming, Julie – Educational Technology Research and Development, 2016
Learning analytics is an emerging field in which sophisticated analytic tools are used to inform and improve learning and teaching. Researchers within a regional university in Australia identified an association between interaction and student success in online courses and subsequently developed a learning analytics system aimed at informing…
Descriptors: Data Collection, Data Analysis, Educational Research, Foreign Countries
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Roessger, Kevin M.; Greenleaf, Arie; Hoggan, Chad – Journal of Adult and Continuing Education, 2017
To overcome situational hurdles when researching transformative learning in adults, we outline a research approach using single-case research designs and smartphone data collection apps. This approach allows researchers to better understand learners' current lived experiences and determine the effects of transformative learning interventions on…
Descriptors: Data Collection, Transformative Learning, Case Studies, Courseware
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Williamson, Ben – E-Learning and Digital Media, 2017
"Education data science" is an emerging methodological field which possesses the algorithm-driven technologies required to generate insights and knowledge from educational big data. This article consists of an analysis of the Lytics Lab, Stanford University's laboratory for research and development in learning analytics, and the Center…
Descriptors: Educational Theories, Educational Research, Data Collection, Data Analysis
Fischer, Heather A. – ProQuest LLC, 2017
Citizen Science programs create a bi-directional flow of knowledge between scientists and citizen volunteers; this flow democratizes science in order to create an informed public (Bonney et al. 2014; Brown, Kelly, and Whitall 2014). This democratization is a fundamental part of creating a science that can address today's pressing environmental,…
Descriptors: Tourism, Design, Program Development, Science Education
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