Communications of the ACM
The children's machine: rethinking school in the age of the computer
The children's machine: rethinking school in the age of the computer
Contributing to success in an introductory computer science course: a study of twelve factors
Proceedings of the thirty-second SIGCSE technical symposium on Computer Science Education
The effect of student attributes on success in programming
Proceedings of the 6th annual conference on Innovation and technology in computer science education
Token+constraint systems for tangible interaction with digital information
ACM Transactions on Computer-Human Interaction (TOCHI)
Proceedings of the 37th SIGCSE technical symposium on Computer science education
Increasing diversity in k-12 computer science: strategies from the field
Proceedings of the 39th SIGCSE technical symposium on Computer science education
Building a big data research program at a small university
Journal of Computing Sciences in Colleges
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This article reports on a public school that is succeeding in encouraging Latino high school students to select Computer Science (CS) as a major. The students attend a charter high school designed to encourage low-income Latino students to attend college and attain proficiency in English, Spanish, and computers. Using data from surveys and by analyzing test scores, the authors quantify the characteristics of students who are likely to choose CS as a major. A survey of 139 tenth- through twelfth-grade Latino students is used to determine factors that influence CS major selection. The survey includes questions from a previous study (836 high school math students from 9 public and private schools) as a control. Additional questions measure student interest in 20 STEM, business, and humanities subjects. Standardized test scores are correlated with factors affecting choice of CS as a major. Environment and intervention programs in, after, and outside of school are examined to consider their impact on student development. The article provides a quantitative and qualitative analysis of the relationship among academic environment and performance, subject interests, gender, and teaching methods that influence the interest of Latino high school students in choosing CS as a major.