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Direct linkAndré Coners; Benjamin Matthies; Carolin Vollenberg; Julian Koch – Journal of Statistics and Data Science Education, 2025
The proficient handling of data can undoubtedly be regarded as a key skill for the future. However, the need for data competencies is not limited to traditional professions in the information technology environment but is rather necessary across industries and work fields. Consequently, there is a call to integrate such Data Literacy and Data…
Descriptors: Statistics Education, Higher Education, Information Science Education, Computer Science Education
Eccles, Jacquelynne S.; Wang, Ming-Te – International Journal of Behavioral Development, 2016
Drawing on Eccles' expectancy-value model of achievement-related choices, we examined the personal aptitudes and motivational beliefs at 12th grade that move individuals toward or away from science, technology, engineering, and mathematics (STEM) occupations at age 29. In the first set of analyses, occupational and lifestyle values, math ability…
Descriptors: Student Attitudes, Grade 12, Gender Differences, High School Students
Download full textChen, Xianglei; Ho, Phoebe – National Center for Education Statistics, 2012
Science, technology, engineering, and mathematics (STEM) fields are widely regarded as critical to the national economy. To provide a nationally representative portrait of undergraduate students' experiences in STEM education, these Web Tables summarize longitudinal data from a cohort of first-time, beginning students who started postsecondary…
Descriptors: STEM Education, Postsecondary Education, Undergraduate Students, Student Attrition
