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Jihyun Lee; Dennis Alonzo; Kim Beswick; Jan Michael Vincent Abril; Adrian W. Chew; Cherry Zin Oo – Educational Assessment, Evaluation and Accountability, 2024
The current study presents a systematic review of teachers' data literacy, arising from a synthesis of 83 empirical studies published between 1990 to 2021. Our review identified 95 distinct indicators across five dimensions: (a) knowledge about data, (b) skills in using data, (c) dispositions towards data use, (d) data application for various…
Descriptors: Research Reports, Data Analysis, Teacher Collaboration, Faculty Development
Guangyao Zhang; Lili Wang; Furong Shang; Xianwen Wang – Journal of Higher Education Policy and Management, 2025
The growth in digitalisation has led to an increasing demand for digital skills in various job sectors. In particular, employers in scientific job areas have shown interest in candidates possessing digital competencies. This study aims to analyse the digital skill requirements for candidates in scientific job opportunities. The content analysis is…
Descriptors: Technological Literacy, Job Skills, Employment Qualifications, Employer Attitudes
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
Iwatani, Emi – Practical Assessment, Research & Evaluation, 2018
Education researchers are increasingly interested in applying data mining approaches, but to date, there has been no overarching exposition of their methodological advantages and disadvantages to the field. This is partly because the use of data mining in education research is relatively new, so its value and consequences are not yet well…
Descriptors: Data Analysis, Educational Research, Research Problems, Statistics
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
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
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
Drysdale, Jeffery S.; Graham, Charles R.; Spring, Kristian J.; Halverson, Lisa R. – Internet and Higher Education, 2013
This article analyzes the research of 205 doctoral dissertations and masters' theses in the domain of blended learning. A summary of trends regarding the growth and context of blended learning research is presented. Methodological trends are described in terms of qualitative, inferential statistics, descriptive statistics, and combined approaches…
Descriptors: Doctoral Dissertations, Instructional Design, Educational Research, Blended Learning
Ling, Robert F. – 1978
The introduction to this selective bibliography on the use of computers in teaching statistics provides a brief review of the role of the computer in statistics; the role of statistical packages; how statistical packages should be used in instruction; science, statistics, and data analysis; and choice and evaluation of statistical packages. Items…
Descriptors: Computer Oriented Programs, Computer Programs, Data Analysis, Evaluation Methods

Garfield, Joan – Teaching Statistics, 1995
Summarizes 19 papers presented at the Fourth International Conference on Teaching Statistics held in Morocco, July 1994. Papers presented were in five categories: (1) empirical studies on students' conceptions; (2) theoretical papers on teaching and learning; (3) assessment; (4) using computers in teaching probability and statistics; and (5) data…
Descriptors: Computer Uses in Education, Concept Formation, Data Analysis, Learning Theories
Creighton, Theodore B. – 2000
Data collection and analysis are frequently neglected by school leaders over the course of the decision-making process. All schools gather large amounts of information about students and teachers, but most data are used to satisfy administrative requirements rather than evaluate school improvement in a systematic fashion. Apprehension regarding…
Descriptors: Administrator Education, Data, Data Analysis, Data Collection
Zikopoulos, Marianthi, Ed. – 1991
This publication provides a complete census and analysis of the foreign postsecondary student population studying in the United States. The report consists of five chapters. The first chapter compares "Open Doors" (a statistical compilation on foreign students) and this publication, pointing out the unique contributions of each publication as well…
Descriptors: Census Figures, Comparative Analysis, Data Analysis, Enrollment Trends