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Alicia Garcia-Holgado; Andrea Vazquez-Ingelmo; Francisco Jose Garcia-Penalvo – IEEE Transactions on Education, 2024
Contribution: Gender mainstreaming in university teaching should be covered in all the knowledge areas. This work successfully introduces the gender perspective as part of the methodological approach to teaching and learning in Computer Science. Background: This study describes how gender mainstreaming has been introduced and matured during six…
Descriptors: Computer Science, Gender Differences, Equal Education, Inclusion
Hamer, Jessica M. M.; Kemp, Peter E. J.; Wong, Billy; Copsey-Blake, Meggie – International Journal of Science Education, 2023
Despite being in a digital age, the diversity of young people choosing to study and work in computing is of ongoing concern, especially low numbers of girls. This paper aims to determine the profile of students who are more likely to aspire to be computer scientists and provide insights into the key factors that shape their aspirations in this…
Descriptors: Foreign Countries, Secondary School Students, Student Attitudes, Occupational Aspiration
Lubna Mohammed Alshamrani – Pegem Journal of Education and Instruction, 2024
Reflective practice is an essential catalyst through which the benefits of teaching and learning can be reaped. Through it, weaknesses and strengths can be identified in a way that helps raise the level of addressing challenges that may arise as well as overcome them. This paper presents the critical reflective practices among computer science…
Descriptors: Reflective Teaching, Secondary School Teachers, Computer Science, Foreign Countries
Nontachai Samngamjan; Pakawat Phettom; Kajohnsak Sa-ngunsat; Wudhijaya Philuek – Shanlax International Journal of Education, 2024
In the realm of education, the integration of AI literacy into computer science teaching is becoming increasingly crucial (Walsh et al., 2023; Voulgari et al., 2022; Velander et al., 2023). Teachers play a pivotal role in bridging the gap between research and practical knowledge transfer of AIrelated skills, necessitating a solid foundation in…
Descriptors: Artificial Intelligence, Technological Literacy, Foreign Countries, Student Teachers
Fadoua Balabdaoui; Nora Dittmann-Domenichini; Henry Grosse; Claudia Schlienger; Gerd Kortemeyer – Discover Education, 2024
We report the results of a 4800-respondent survey among students at a technical university regarding their usage of artificial intelligence tools, as well as their expectations and attitudes about these tools. We find that many students have come to differentiated and thoughtful views and decisions regarding the use of artificial intelligence. The…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Student Attitudes
Shah, Zohal; Chen, Chen; Sonnert, Gerhard; Sadler, Philip M. – AERA Online Paper Repository, 2023
Computer gameplay and social media are the two most common forms of entertainment in the digital age. Many scholars share the assumption that leisure-time digital consumption is associated with CS affinity, but there is a dearth of research evidence for this relationship. Female students generally spend less time on gaming and more time on social…
Descriptors: Computer Science, Vocational Interests, Computer Use, Gender Differences
Jinjushang Chen; Lara Perez-Felkner; Chantra Nhien; Shouping Hu; Kristen Erichsen; Yang Li – Research in Higher Education, 2024
Gender disparities persist in postsecondary computing fields, despite improvements in postsecondary equity overall and STEM fields as an aggregate. The entrenchment of this issue requires a comprehensive, longitudinal lens. Building on expectancy-value theory, the present study examines the relationships among students' gender-ability stereotypes,…
Descriptors: STEM Education, Computer Science, Gender Differences, Disproportionate Representation
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
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
Biying Wen; Qian Wang; Floriana Grasso; Qing Chen; Juming Shen – Higher Education Quarterly, 2024
The problem of gender disparity in computer science and engineering has persisted despite longstanding efforts made in higher education. This study drew data from ten female computer science and engineering faculty in China and Italy to demonstrate the gender-specific challenges they face. The researcher applied positioning theory to analyse…
Descriptors: Foreign Countries, Gender Differences, Barriers, Women Faculty
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
Sovey, Saralah; Osman, Kamisah; Matore, Mohd Effendi Ewan Mohd – EURASIA Journal of Mathematics, Science and Technology Education, 2022
Computational thinking is a strategy of thinking to tackle complex problems. There is a paucity of conceptualization and instruments that cogitate on computational thinking disposition and attitudes. This study reacts to these constraints by establishing an instrument to test computational thinking related dispositions and attitudes. The…
Descriptors: Item Response Theory, Computation, Thinking Skills, Secondary School Students
Sun, Lihui; Hu, Linlin; Yang, Weipeng; Zhou, Danhua; Wang, Xiaoqian – Journal of Computer Assisted Learning, 2021
Computational thinking (CT) plays a vital role in the fields of science, technology, engineering and mathematics (STEM). However, whether students' learning attitude towards STEM is related to their CT skills remains unknown. Two studies were conducted to address this knowledge gap. In Study 1, we validated a newly developed STEM learning attitude…
Descriptors: STEM Education, Predictor Variables, Computer Science, Thinking Skills
Lisa Fox – ProQuest LLC, 2021
Women are underrepresented in the field of computer science. The presence of female computer scientists has changed over time, with a downward trend in the past few decades, with only 18% of women compared to men earning their degrees in computer science. Increasing the numbers of female students who pursue computer science not only will lead to…
Descriptors: Influences, Middle School Students, Student Interests, Computer Science
Lin, Yu-Tzu; Wu, Cheng-Chih; Chen, Zhi-Hong; Ku, Pei-Yi – Educational Technology & Society, 2020
This study aimed to investigate the effects of gender pairings on collaborative problem-solving performance, processes, and attitudes in a social learning context. Three types of pairings (i.e., male-male, female-female, and mixed pairings) were considered in an empirical study with 222 tenth-grade students. The selection of three different…
Descriptors: Gender Differences, Cooperative Learning, Problem Solving, High School Students