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Johnson, Reid A. – ProQuest LLC, 2016
Data science is a broad, interdisciplinary field concerned with the extraction of knowledge or insights from data, with the classification of data as a core, fundamental task. One of the most persistent challenges faced when performing classification is the class imbalance problem. Class imbalance refers to when the frequency with which each class…
Descriptors: Comparative Analysis, Information Science, Technology, Classification
Kristin Cipollone – Sage Research Methods Cases, 2016
All research accounts are partial. Who we are--our biographies, experiences, ideological stances, and so on--affects the entirety of the research process. Who we are shapes what types of research questions we find interesting, how we frame our research objectives, how we collect data, how we analyze these data, and how we present our findings. In…
Descriptors: Qualitative Research, Research Methodology, Case Studies, Researchers
US Department of Education, 2020
The U.S. Department of Education's (Department) mission is to promote student achievement and preparation for global competitiveness by fostering educational excellence and ensuring equal access. The Department pursues its mission by establishing policies and distributing corresponding funds, focusing national attention on key educational issues,…
Descriptors: Public Agencies, Institutional Mission, Academic Achievement, Educational Policy
Merceron, Agathe; Blikstein, Paulo; Siemens, George – Journal of Learning Analytics, 2015
This article introduces the special issue from the 2015 Learning Analytics and Knowledge conference. We describe the current state of the field and identify some of the trends in recent research. As the field continues to expand, there seem to be at least three directions of vigorous growth: (1) the inclusion of multimodal data (gesture,…
Descriptors: Educational Research, Data, Data Collection, Data Analysis
Kastens, Kim; Krumhansl, Ruth; Baker, Irene – Science Teacher, 2015
This article is aimed at teachers already experienced with activities involving small, student-collected data sets and who are now ready to begin working with large, online data sets collected by scientists and engineers. The authors discuss challenges, instructional strategies, and sources of appropriate lesson plans. With guidance, plus online…
Descriptors: Science Instruction, Data Collection, Data Analysis, Data Interpretation
Brookhart, Susan M. – ASCD, 2015
In this book, best-selling author Susan M. Brookhart helps teachers and administrators understand the critical elements and nuances of assessment data and how that information can best be used to inform improvement efforts in the school or district. Readers will learn: (1) What different kinds of data can--and cannot--tell us about student…
Descriptors: Data, Decision Making, Student Evaluation, Data Analysis
Webb, Sara Jane; Bernier, Raphael; Henderson, Heather A.; Johnson, Mark H.; Jones, Emily J. H.; Lerner, Matthew D.; McPartland, James C.; Nelson, Charles A.; Rojas, Donald C.; Townsend, Jeanne; Westerfield, Marissa – Journal of Autism and Developmental Disorders, 2015
The EEG reflects the activation of large populations of neurons that act in synchrony and propagate to the scalp surface. This activity reflects both the brain's background electrical activity and when the brain is being challenged by a task. Despite strong theoretical and methodological arguments for the use of EEG in understanding the…
Descriptors: Autism, Brain, Medicine, Data Collection
Banks, Kathleen – Practical Assessment, Research & Evaluation, 2015
This article introduces practitioners and researchers to the topic of missing data in the context of differential item functioning (DIF), reviews the current literature on the issue, discusses implications of the review, and offers suggestions for future research. A total of nine studies were reviewed. All of these studies determined what effect…
Descriptors: Test Bias, Data, Literature Reviews, Evaluation Research
Cox, A. M. – International Journal of Educational Technology in Higher Education, 2021
Artificial Intelligence (AI) and robotics are likely to have a significant long-term impact on higher education (HE). The scope of this impact is hard to grasp partly because the literature is siloed, as well as the changing meaning of the concepts themselves. But developments are surrounded by controversies in terms of what is technically…
Descriptors: Artificial Intelligence, Robotics, Higher Education, Futures (of Society)
Venville, Annie; Kostecki, Tina; Lynch, Bernardine; Santhanam, Elizabeth; Whitty, Anthony – International Journal of Work-Integrated Learning, 2021
Work-integrated learning (WIL) involves employers and industry in education and training. In order to maximize benefits for all involved, sustainable and reciprocal processes are necessary. While institutions may have internal mechanisms to gather feedback from external partners, the feedback process often tends to be ad hoc. To inform the…
Descriptors: Foreign Countries, Feedback (Response), Work Experience Programs, Partnerships in Education
Iwasaki, Patsy Y. – IAFOR Journal of Education, 2021
Information about the overall documentary filmmaking process is available; however, there is a lack of literature and educational resources about how to conduct subject research and data collection. As documentary filmmaking becomes an increasingly democratic endeavor due to technology, and information distribution and education use increases,…
Descriptors: Film Study, Documentaries, Computer Assisted Instruction, Teaching Methods
Yuksel, Mujde; Smith, Andrew N.; Smith, Robert S.; Bicen, Pelin; Wilson, Elizabeth J.; Weiner, Jay – Journal of Marketing Education, 2021
Student engagement is regarded as a critical educational outcome. However, it has proven to be elusive to educators within technical domains, such as marketing research and analytics, which has inspired the exploration of experiential course design elements. Client-sponsored projects (CSPs) have become a popular tactic to meet this objective in…
Descriptors: Student Interests, Marketing, Outcomes of Education, Instructional Design
Abdrabou, Atef; Shakhatreh, Walid – Journal of Technology and Science Education, 2021
In the era of the Internet-of-everything, learning the principles of data communications and networking is inevitable for many electrical engineering disciplines. The paper addresses the effectiveness of teaching the fundamentals of data communications and networking using a dedicated lab course as a co-requisite to a classic lecture-based course.…
Descriptors: Computer Networks, Computer Science Education, Engineering Education, Instructional Effectiveness
Houston, David M. – Educational Policy, 2021
This study explores the conditions under which polarization and depolarization occur with respect to public opinion on education issues. I analyze experimental and nonexperimental survey data to gauge the effects of informational and experiential stimuli on education policy preferences. I focus on heterogeneous effects by political party…
Descriptors: Educational Policy, Politics of Education, Public Opinion, Surveys
Benzer, Ali Ihsan; Ünal, Suat – Journal of Baltic Science Education, 2021
This research examined articles about models and modelling in the context of science education in Turkey by using content analysis method. Two specific academic databases; one of which was Dergipark, a platform including the academic journals published in Turkey, and Scholar Google were examined in detail so that totally 71 articles on models and…
Descriptors: Foreign Countries, Science Education, Mathematical Models, Educational Research

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