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Beth Chance; Andrew Kerr; Jett Palmer – Journal of Statistics and Data Science Education, 2024
While many instructors are aware of the "Literary Digest" 1936 poll as an example of biased sampling methods, this article details potential further explorations for the "Digest's" 1924-1936 quadrennial U.S. presidential election polls. Potential activities range from lessons in data acquisition, cleaning, and validation, to…
Descriptors: Publications, Public Opinion, Surveys, Bias
Michael Yao Wodui Serwornoo; Samuel Danso; Benedine Azanu; Eric Opoku-Mensah – Journalism and Mass Communication Educator, 2024
The digital era has significantly reshaped journalism, emphasizing the pivotal role of data-driven reporting. This review delves into the nexus of data journalism and journalism education, investigating dominant study characteristics, challenges, and gaps for future research. Examining 41 relevant articles through the Arksey and O'Malley…
Descriptors: Journalism Education, Data Analysis, Journalism, Decision Making
McFarland, Daniel A.; Khanna, Saurabh; Domingue, Benjamin W.; Pardos, Zachary A. – AERA Open, 2021
This AERA Open special topic concerns the large emerging research area of education data science (EDS). In a narrow sense, EDS applies statistics and computational techniques to educational phenomena and questions. In a broader sense, it is an umbrella for a fleet of new computational techniques being used to identify new forms of data, measures,…
Descriptors: Learning Analytics, Statistics, Computation, Measurement
McMaster, Kirby; Rague, Brian; Wolthuis, Stuart L.; Sambasivam, Samuel – Information Systems Education Journal, 2018
This research study provides an examination of the relatively new fields of Data Analytics and Data Science. We compare word rates in Data Analytics and Data Science documents to determine which concepts are mentioned most often. The most frequent concept in both fields is "data." The word rate for "data" is more than twice the…
Descriptors: Data Analysis, Data Collection, Comparative Analysis, Statistics
Patrikakou, Eva; Ockerman, Melissa S.; Hollenbeck, Amy Feiker – Professional Counselor, 2016
As a result of the Response to Intervention (RTI) mandate in schools across many states, school counselors are well-positioned to take a leadership role. The present research study examines how school counselors across the nation perceived their training and knowledge of RTI, as well as their confidence in its implementation. Results indicate that…
Descriptors: Response to Intervention, Program Implementation, School Counselors, Counselor Attitudes
Cohen, Anat – Educational Technology Research and Development, 2017
Persistence in learning processes is perceived as a central value; therefore, dropouts from studies are a prime concern for educators. This study focuses on the quantitative analysis of data accumulated on 362 students in three academic course website log files in the disciplines of mathematics and statistics, in order to examine whether student…
Descriptors: Academic Persistence, Predictor Variables, Dropouts, At Risk Students
Barnett, George A.; Lee, Moosung; Jiang, Ke; Park, Han Woo – Compare: A Journal of Comparative and International Education, 2016
This paper provides a network analysis of the international flow of students among 210 countries and the factors determining the structure of this flow. Among these factors, bilateral hyperlink connections between countries and the number of telephone minutes (communication variables) are the most important predictors of the flow's structure,…
Descriptors: Foreign Students, Study Abroad, Student Mobility, Global Approach
Gray, Geraldine; McGuinness, Colm; Owende, Philip; Carthy, Aiden – Journal of Learning Analytics, 2014
Increasing college participation rates, and diversity in student population, is posing a challenge to colleges in their attempts to facilitate learners achieve their full academic potential. Learning analytics is an evolving discipline with capability for educational data analysis that could enable better understanding of learning process, and…
Descriptors: Psychometrics, Data Analysis, Academic Achievement, Postsecondary Education
Jones, Dustin L.; Brown, Megan; Dunkle, Alisha; Hixon, Lindsay; Yoder, Nicole; Silbernick, Zach – Journal of Statistics Education, 2015
This study reports on the statistical content of five U.S. textbook series written for elementary students in grades 1-5. The researchers examined 17,688 pages and coded 7445 statistical tasks to determine (1) the distribution of statistical topics within textbooks, and (2) the relative emphasis on the phases of the statistical problem solving…
Descriptors: Statistics, Textbooks, Textbook Content, Elementary School Mathematics
Yagiz, Oktay; Aydin, Burcu; Akdemir, Ahmet Selçuk – Journal of Language and Linguistic Studies, 2016
This study reviews a selected sample of 274 research articles on ELT, published between 2005 and 2015 in Turkish contexts. In the study, 15 journals in ULAKBIM database and articles from national and international journals accessed according to convenience sampling method were surveyed and relevant articles were obtained. A content analysis was…
Descriptors: Journal Articles, Periodicals, Content Analysis, Research Design
Blikstein, Paulo; Worsley, Marcelo – Journal of Learning Analytics, 2016
New high-frequency multimodal data collection technologies and machine learning analysis techniques could offer new insights into learning, especially when students have the opportunity to generate unique, personalized artifacts, such as computer programs, robots, and solutions engineering challenges. To date most of the work on learning analytics…
Descriptors: Data Analysis, Data Collection, Educational Research, Constructivism (Learning)
Knapp, Laura G.; Kelly-Reid, Janice E.; Ginder, Scott A. – National Center for Education Statistics, 2012
This report describes the universe, methods, and editing procedures used in the 2011-12 Integrated Postsecondary Education Data System (IPEDS) data collection. IPEDS data consist of basic statistics on postsecondary institutions regarding tuition and fees, number and types of degrees and certificates conferred, number of students enrolled, number…
Descriptors: Data Collection, Research Methodology, Statistics, Postsecondary Education
Knapp, Laura G.; Kelly-Reid, Janice E.; Ginder, Scott A. – National Center for Education Statistics, 2008
The Integrated Postsecondary Education Data System (IPEDS) collects institution-level data from postsecondary institutions in the United States (50 states and the District of Columbia) and other jurisdictions, such as Puerto Rico. This report presents information from the Winter 2007-2008 IPEDS web-based data collection. A postsecondary…
Descriptors: Postsecondary Education, Employment Level, School Personnel, Sex
Baker, Ryan S. J. D.; Yacef, Kalina – Journal of Educational Data Mining, 2009
We review the history and current trends in the field of Educational Data Mining (EDM). We consider the methodological profile of research in the early years of EDM, compared to in 2008 and 2009, and discuss trends and shifts in the research conducted by this community. In particular, we discuss the increased emphasis on prediction, the emergence…
Descriptors: Trend Analysis, Educational History, Educational Research, Research Methodology
Peer reviewedKlauer, Karl Christoph – Psychological Review, 1999
Argues that selecting data according to expected information gain, as proposed by M. Oaksford and N. Chater (1994, 1996), leads to suboptimal performance in Bayesian hypothesis testing. Procedures are presented that are better justified normatively, their psychological implications are explored, and a number of novel predictions are derived under…
Descriptors: Bayesian Statistics, Data Collection, Hypothesis Testing, Performance Based Assessment
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