Teaching statistics to undergraduate business students is an enduring challenge, often due to student apprehension and low understanding of relevance. The Data to Decision Project is an approach designed to address this challenge. At the onset of an introductory statistics course, fifty-two students received instruction on the Define, Collect,…

In the contemporary workplace, data scientists who are capable of interdisciplinary collaboration are in high demand. Universities need to provide data science students with a plethora of learning opportunities that involve collaboration in interdisciplinary contexts and engagement with industry partners. Curtin University and Lab Tests Online…

This book includes 43 case studies showcasing the application of basic education informatization. It shares the experiences of 43 schools in the construction and application of educational informatization in various regions in China. It aims to promote the balanced development of education and expand the coverage of quality education resources.…

Members of the Data Science Program at George Washington University (GWU) designed and implemented a tuition-free two-week summer camp at GWU for high-school students from the Washington Metro Area. The United States Department of Agriculture (USDA) Office of the Chief Information Officer and his staff were our main partners in the project. The…

Teachers, both mainstream and English as a New Language (ENL), are cognizant of the many languages and learning ability levels of ELLs. They struggle to address the challenges presented by this population of students. Districts with large or small ELL populations face similar challenges: how can mainstream content be made comprehensible to ELLs to…

Background: Upward trends in data-oriented careers threaten to further increase the underrepresentation of both females and individuals from racial minority groups in programs focused on data analysis and applied statistics. To begin to develop the necessary skills for a data-oriented career, project-based learning seems the most promising given…

This paper reports on a case study of a project-focused introduction to big data science course. The pedagogy of the course leveraged boundary theory, where students were positioned to be at the boundary between a client's desire to understand their data and the academic class. The results of the case study demonstrate that using live clients…

The achievement of deep learning by secondary students requires teaching approaches that draw students into task commitment, integrated curricula, and analytical thinking. By using real-world data sets in project based instructional units, teachers can guide students in analyzing, interpreting, and reporting quantitative data. Working with…

The State Educational Technology Directors Association (SETDA) is the principal association representing the technology leadership in all fifty states, the District of Columbia, the U.S. Virgin Islands, and the Bureau of Indian Affairs. This is SETDA's ninth annual report on select educational technology activities. This year's report includes…