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Kyle Robinson – ProQuest LLC, 2024
The COVID-19 pandemic was an unprecedented event in modern educational history that resulted in a dramatic upheaval of the traditional school system. The shift from brick-and-mortar to virtual instruction resulted in profound anxiety and demand (Kush et al., 2021). As the quarantine ended, the return to the physical classroom brought with it new,…
Descriptors: Teacher Persistence, COVID-19, Pandemics, Faculty Mobility
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Lyon, Louise Ann; Green, Emily – ACM Transactions on Computing Education, 2021
College-educated women in the workforce are discovering a latent interest in and aptitude for computing motivated by the prevalence of computing as an integral part of jobs in many fields as well as continued headlines about the number of unfilled, highly paid computing jobs. One of these women's choices for retraining are the so-called coding…
Descriptors: Computer Science Education, Coding, Programming, Females
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Hsu, Wen-Chin; Gainsburg, Julie – Journal of Educational Computing Research, 2021
Block-based programming languages (BBLs) have been proposed as a way to prepare students for learning to program in more sophisticated, text-based languages, such as Java. Hybrid BBLs add the ability to view and edit the block commands in auto-generated, text-based code. We compared the use of a non-hybrid BBL (Scratch), a hybrid BBL (Pencil…
Descriptors: Computer Science Education, Introductory Courses, Teaching Methods, Student Attitudes
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Tena-Meza, Stephanie; Suzara, Miroslav; Alvero, Aj – ACM Transactions on Computing Education, 2022
We use an autoethnographic case study of a Latinx high school student from a rural, agricultural community in California to highlight how AI is learned outside classrooms and how her personal background influenced her social-justice-oriented applications of AI technologies. Applying the concept of learning pathways from the learning sciences, we…
Descriptors: Rural Youth, Hispanic American Students, High School Students, Artificial Intelligence
Kim Luttgen; Kevin Huang; Eunice Chow; Shuangting Yang; Linlin Li – Grantee Submission, 2024
Rural students often face challenges in receiving high-quality education in science, technology, engineering, and math (STEM). Yet without meaningful STEM educational opportunities, rural students might not develop the knowledge and skills needed to compete in a technology-driven workforce. The Learning by Making program (LbyM), an innovative…
Descriptors: Rural Schools, STEM Education, Educational Innovation, Achievement Gap