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Showing 1 to 15 of 27 results Save | Export
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McGill, Monica; Snow, Eric; Vaval, Luronne; DeLyser, Leigh Ann; Wortel-London, Stephanie; Thompson, Angelica – ACM Transactions on Computing Education, 2023
Research Problem: Computer science (CS) education researchers conducting studies that target high school students have likely seen their studies impacted by COVID-19. Interpreting research findings impacted by COVID-19 presents unique challenges that will require a deeper understanding as to how the pandemic has affected underserved and…
Descriptors: Computer Science Education, COVID-19, Pandemics, Socioeconomic Status
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Arif Rachmatullah; Jessica Vandenberg; Sein Shin; Eric Wiebe – ACM Transactions on Computing Education, 2023
The current study compared American, Korean, and Indonesian middle and high school students' CS attitudes. Concurrently, this study also examined whether the items in the CS attitudes scale exhibit country and gender measurement biases. We gathered data on CS attitudes from middle and high school students in the US, Korea, and Indonesia. The…
Descriptors: Foreign Countries, Middle School Students, High School Students, Computer Science
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Rodrigo Duran; Silvia Amélia Bim; Itana Gimenes; Leila Ribeiro; Ronaldo Celso Messias Correia – ACM Transactions on Computing Education, 2023
"Motivation": Enrollments in Brazilian computing degrees are at an all-time high, but graduation numbers have not increased at the same rate. Moreover, enrollment growth has mainly attracted male students, steadily expanding the gender gap in Brazilian computing programs. Such high attrition rates have a great economic impact and may…
Descriptors: Foreign Countries, Academic Persistence, Intention, Dropout Characteristics
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Lee, Lina; Latulipe, Celine; Frevert, Tonya – ACM Transactions on Computing Education, 2022
Helping students learn to identify and respond to situations involving discrimination is important, especially in fields like Computer Science where there is evidence of an unwelcoming climate that disproportionately drives underrepresented students out of the field. While students should not be considered responsible for fixing issues around…
Descriptors: Student Attitudes, Diversity, Inclusion, Computer Science Education
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Sax, Linda J.; Newhouse, Kaitlin N. S.; Goode, Joanna; Nakajima, Tomoko M.; Skorodinsky, Max; Sendowski, Michelle – ACM Transactions on Computing Education, 2022
The Advanced Placement Computer Science Principles (APCSP) course was introduced in 2016 to address long-standing gender and racial/ethnic disparities in the United States among students taking Advanced Placement Computer Science (APCS) in high school, as well as among those who pursued computing majors in college. Although APCSP has drawn a more…
Descriptors: Advanced Placement Programs, Computer Science Education, Equal Education, High School Students
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Babes-Vroman, Monica; Nguyen, Thuytien N.; Nguyen, Thu D. – ACM Transactions on Computing Education, 2022
With the number of jobs in computer occupations on the rise, there is a greater need for computer science (CS) graduates than ever. At the same time, most CS departments across the country are only seeing 25-30% of women students in their classes, meaning that we are failing to draw interest from a large portion of the population. In this work, we…
Descriptors: Gender Differences, Diversity, Computer Science Education, Research Universities
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Lunn, Stephanie; Ross, Monique; Hazari, Zahra; Weiss, Mark Allen; Georgiopoulos, Michael; Christensen, Kenneth – ACM Transactions on Computing Education, 2022
Despite increasing demands for skilled workers within the technological domain, there is still a deficit in the number of graduates in computing fields (computer science, information technology, and computer engineering). Understanding the factors that contribute to students' motivation and persistence is critical to helping educators,…
Descriptors: Educational Experience, Prediction, Identification (Psychology), Computer Science Education
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Hsu, Hui Ching Kayla; Memon, Nasir D. – ACM Transactions on Computing Education, 2021
The necessity for a steady STEM workforce has prompted academia to develop strategies to encourage people of diverse backgrounds to enter the STEM fields. A bridge program, also known as a conversion program, offers alternative pathways for individuals who have no prior computing education to receive the education that can help in developing their…
Descriptors: Computer Science Education, STEM Education, Females, Transitional Programs
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Hardin, Caroline D. – ACM Transactions on Computing Education, 2021
Hackathons, the time-bound collaborative project-based computer science competitions increasingly popular with computer science students, are one of the largest-scale innovations in computing education of the past decade. This research examined three hackathons and 46,500 surveys to find that educational benefits were unequal between genders in…
Descriptors: Gender Differences, Cooperative Learning, Active Learning, Student Projects
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Kim, Han Sung; Kim, Soohwan; Na, Wooyoul; Lee, Woon Jee – ACM Transactions on Computing Education, 2021
As Information and Communication Technology (ICT) literacy education has recently shifted to fostering computing thinking ability as well as ICT use, many countries are conducting research on national curriculum and evaluation. In this study, we measured Korean students' ICT literacy levels by using the national measurement tool that assesses…
Descriptors: Computation, Thinking Skills, Technological Literacy, Gender Differences
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Mahadeo, Jonathan; Hazari, Zahra; Potvin, Geoff – ACM Transactions on Computing Education, 2020
This paper expands on knowledge of computing identity by building on what is known about prior identity models in science and mathematics education. The model theorizes three primary sub-constructs that contribute to the development of a computing identity: belief in one's performance/competence, interest, and recognition in computing. Drawing on…
Descriptors: Career Choice, Computer Science, Information Technology, College Students
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Kemp, Peter E. J.; Wong, Billy; Berry, Miles G. – ACM Transactions on Computing Education, 2020
The change in the English computing curriculum and the shift towards computer science (CS) has been closely observed by other countries. Female participation remains a concern in most jurisdictions, but female attainment in CS is relatively unstudied. Using the English national pupil database, we analyzed all exam results (n = 5,370,064) for…
Descriptors: Computer Science Education, Females, Secondary School Students, Gender Differences
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Ross, Monique; Hazari, Zahra; Sonnert, Gerhard; Sadler, Philip – ACM Transactions on Computing Education, 2020
Computer science (CS) has been identified as one of the fastest-growing professions, with demand for CS professionals far outpacing the supply of CS graduates. The necessity for a trained CS workforce has compelled industry and academia to evaluate strategies for broadening participation in CS. The current literature in CS education emphasizes the…
Descriptors: Computer Science, Career Choice, Females, Social Influences
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Tomkin, Jonathan H.; West, Matthew; Herman, Geoffrey L. – ACM Transactions on Computing Education, 2018
We present a methodological improvement for calculating Grade Point Averages (GPAs). Heterogeneity in grading between courses systematically biases observed GPAs for individual students: the GPA observed depends on course selection. We show how a logistic model can account for course selection by simulating how every student in a sample would…
Descriptors: Grade Point Average, Grading, Predictor Variables, Grades (Scholastic)
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Crues, R. Wes; Henricks, Genevieve M.; Perry, Michelle; Bhat, Suma; Anderson, Carolyn J.; Shaik, Najmuddin; Angrave, Lawrence – ACM Transactions on Computing Education, 2018
Massive Open Online Courses (MOOCs)--in part, because of their free, flexible, and relatively anonymous nature--may provide a means for helping overcome the large gender gap in Computer Science (CS). This study examines why women and men chose to enroll in a CS MOOC and how this is related to successful behavior in the course by (a) using k-means…
Descriptors: Online Courses, Computer Science Education, Persistence, Gender Differences
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