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Peer reviewedJennifer L. Maeng; Timothy Konold; Khushbu Singh – Grantee Submission, 2025
The study examined the Advancing Rural Computer Science (ARCS) program, a professional development initiative designed to improve elementary teachers' computer science (CS) content knowledge, pedagogical practices, and self-efficacy, with the goal of enhancing K-5 students' interest in and knowledge of CS. ARCS was funded through USED EIR…
Descriptors: Rural Schools, Computer Science Education, Faculty Development, Elementary School Teachers
Peer reviewedJeffrey Schagrin; Bridget Sheng; Lora Wolff – Grantee Submission, 2025
The Innovative STEM--Computer Science and Engineering Design (STEM CSED) project (Award #: U411C190169), funded by an Early-Phase Education Innovation and Research (EIR) grant, sought to strengthen math achievement and foster positive attitudes toward STEM and computer science among students in Waukegan Community Unit School District #60, a large,…
Descriptors: STEM Education, Computer Science, Mathematics Achievement, Student Attitudes
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Direct linkAllen, Laura K.; Creer, Sarah D.; Poulos, Mary Cati – Grantee Submission, 2021
Research in discourse processing has provided us with a strong foundation for understanding the characteristics of text and discourse, as well as their influence on our processing and representation of texts. However, recent advances in computational techniques have allowed researchers to examine discourse processes in new ways. The purpose of the…
Descriptors: Natural Language Processing, Computation, Discourse Analysis, Computer Science
Master, Allison; Meltzoff, Andrew N.; Cheryan, Sapna – Grantee Submission, 2021
Societal stereotypes depict girls as less interested than boys in computer science and engineering. We demonstrate the existence of these stereotypes among children and adolescents from first to 12th grade and their potential negative consequences for girls' subsequent participation in these fields. Studies 1 and 2 (n = 2,277; one preregistered)…
Descriptors: Sex Stereotypes, Student Interests, Gender Discrimination, Computer Science
