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Chenxi Jiang; Zhenzhong Chen; Jeremy M. Wolfe – Cognitive Research: Principles and Implications, 2024
Previous work has demonstrated similarities and differences between aerial and terrestrial image viewing. Aerial scene categorization, a pivotal visual processing task for gathering geoinformation, heavily depends on rotation-invariant information. Aerial image-centered research has revealed effects of low-level features on performance of various…
Descriptors: Geography, Photography, Classification, Data Collection
Nicolas Frölich; Karl Sebastian Schellhammer – International Journal of Mathematical Education in Science and Technology, 2024
Introductory undergraduate statistics courses widely focus on statistical concepts or software-based data analysis. Despite the fact that the analysis of real data has shown to enhance students' engagement, the step of data collection is often neglected. Once students know the challenges of data collection, they are more aware of potential…
Descriptors: Undergraduate Students, Statistics, Business Administration Education, Economics Education
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
Jane Watson; Noleine Fitzallen; Ben Kelly – Mathematics Education Research Journal, 2024
Incorporating an evidence-based approach in STEM education using data collection and analysis strategies when learning about science concepts enhances primary students' discipline knowledge and cognitive development. This paper reports on learning activities that use the nature of viscosity and the power of informal statistical inference to build…
Descriptors: Elementary School Students, Grade 5, STEM Education, Statistics
Thomas McAndrew; Rochelle L. Frounfelker; Lorenzo Servitje – PRIMUS, 2024
There is a need for public health undergraduates to acquire skills in data collection, statistical programming, and infectious diseases modeling. Public health officials and accreditation bodies underline the importance of a cumulative, "real-world" experience as part of a student's education. The Watermelon Meow Meow (WMM) outbreak is a…
Descriptors: Undergraduate Students, Graduate Students, Statistics, Data Collection
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
Charlotte Cabili; Natalie Reid; Carla Chavez; Aden Bhagwat; Davis Straske; Will Ratner; Victoria Sims; Xinwei Li; Tutrang Nguyen; Xiaofan Sun; Jeani Choe; Jeff Harrington; Addison Larson; Judy Cannon – Office of Planning, Research and Evaluation, 2024
This report includes information on the 2021-2022 Study of Family and Staff Experiences in American Indian and Alaska Native Head Start Family and Child Experiences Survey Programs (the 2021-2022 Study). The 2021-2022 Study collected data from children's parents, teachers, center directors, and program directors in Region XI Head Start programs in…
Descriptors: Federal Programs, Low Income Students, Social Services, Children