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Martha Partridge; Yen-En Kuo; Nattanan Hamapongnitinan; Liming Chen; Haoyuan Huang – International Journal for Students as Partners, 2024
Students as Partners (SaP) approaches have gained more and more traction in higher education in recent years (Dai & Matthews, 2022). Rooted in values such as reciprocity and shared responsibility, SaP can offer opportunities for internationalizing the curriculum and departing from traditional teacher-student hierarchies (Green & Baxter,…
Descriptors: Artificial Intelligence, Digital Literacy, Higher Education, Teacher Student Relationship
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Jean J. Ryoo; Takeria Blunt – ACM Transactions on Computing Education, 2024
Culturally responsive computing (CRC), that centers sociopolitical issues and transformational uses of technology, has been described as valuable for increasing engagement with computing, especially for historically underrepresented minoritized students. But what do high school students think? Through a sociocultural lens prioritizing student…
Descriptors: Student Attitudes, Computer Science Education, Power Structure, Ethics
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Xiaoyu Xu; Siân Alsop; Helen Tsui – Language and Education, 2024
Although digital advances have enabled hundreds of universities to offer massive open online courses (MOOCs) to millions of students worldwide, the high dropout rate on these MOOCs indicates a disjunct between the potential of the offer and the success of its uptake. Many studies point to issues relating to interpersonal connection as a major…
Descriptors: MOOCs, Computer Science Education, Engineering Education, Dropout Rate
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Roslyn Arlin Mickelson; Ian Mikkelsen; Mohsen Dorodchi; Bojan Cukic; Caitlin Petro; Zelaya Al Ayeisha; Shakayla Alston; Anthony Teddy; Myat Win; Sandra Wiktor; Barry Sherman; Jeffrey Cook – School Community Journal, 2024
Students from underrepresented populations--females, working class, and youth from marginalized racial/ethnic groups--are less likely than their middle-class Asian and White male peers to study computer science (CS) in college. The dearth of CS undergraduates from these groups contributes to projected labor force shortages. Sources of the dilemma…
Descriptors: Middle School Students, Computer Science Education, Partnerships in Education, Minority Group Students
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Roslyn Arlin Mickelson; Ian Mikkelsen; Mohsen Dorodchi; Bojan Cukic; Tytianna Horn – Journal of College Student Retention: Research, Theory & Practice, 2024
Female, Black, Latinx, Native American, low-income, and rural students remain underrepresented among computer science undergraduate degree recipients. Along with student, family, and secondary school characteristics, college organizational climate, curricula, and instructional practices shape undergraduates' experiences that foster persistence…
Descriptors: Academic Persistence, Computer Science Education, Undergraduate Students, Females
Stephanie M. Werner; Ying Chen – Illinois Workforce and Education Research Collaborative, Discovery Partners Institute, 2024
The purpose of "The State of Computer Science in Illinois High Schools Series" is to analyze the landscape, structures, and pathways of computer science (CS) education in Illinois and to create a baseline by which to measure the expansion of CS education in the coming years. Beginning in the 2023-2024 school year, all districts in the…
Descriptors: Computer Science Education, High School Students, Student Characteristics, Secondary School Curriculum
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Chang, Hung-Fu; Shokrolah Shirazi, Mohammad – Informatics in Education, 2022
Scrum is a widely-used framework in industry, so many schools apply it to their software engineering courses, particularly capstone courses. Due to the differences between students and industrial professionals, changing Scrum is necessary to fit capstone projects. In this paper, we suggest a decision-making process to assist instructors in…
Descriptors: Computer Science Education, Capstone Experiences, Learning Experience, Task Analysis
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Loksa, Dastyni; Margulieux, Lauren; Becker, Brett A.; Craig, Michelle; Denny, Paul; Pettit, Raymond; Prather, James – ACM Transactions on Computing Education, 2022
Metacognition and self-regulation are important skills for successful learning and have been discussed and researched extensively in the general education literature for several decades. More recently, there has been growing interest in understanding how metacognitive and self-regulatory skills contribute to student success in the context of…
Descriptors: Metacognition, Programming, Computer Science Education, Learning Processes
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Wang, Hai; Wang, Shouhong – Journal of Information Systems Education, 2022
No-code/low-code app development is transforming traditional information system development paradigms. This teaching tip uses an example of course unit of decision support systems (DSS) to demonstrate that introducing no-code system implementation assignments into a course as a replacement for computer programming language exercises can improve…
Descriptors: Information Systems, Information Science Education, Programming Languages, Teaching Methods
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Wang, Jianlan; Zhang, Yuanlin; Jones, Arthur; Eckel, Rory; Hawkins, Joshua; Musslewhite, Darrel – Journal of Computers in Mathematics and Science Teaching, 2022
Despite the importance of computer science education and computational thinking, there have been limited examples of computer science education at K-12 classrooms that authentically represents the work of computer scientists, especially programming. One reason is the lack of a measurable definition of computational thinking and a programming…
Descriptors: Teaching Methods, Computer Science Education, Programming, Thinking Skills
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Podworny, Susanne; Hüsing, Sven; Schulte, Carsten – Statistics Education Research Journal, 2022
Data science surrounds us in contexts as diverse as climate change, air pollution, route-finding, genomics, market manipulation, and movie recommendations. To open the "data-science-black-box" for lower secondary school students, we developed a data science teaching unit focusing on the analysis of environmental data, which we embedded…
Descriptors: Statistics Education, Programming, Programming Languages, Data Analysis
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Stahl, Daniel; Sandahl, Kristian; Buffoni, Lena – IEEE Transactions on Education, 2022
Contribution: This article identifies the participation of external stakeholders as a key contributing factor for positive outcomes in project-based software engineering courses. A model for overlapping virtuous circles of lasting positive impact on both stakeholders and students from such courses is proposed. Background: Project-based courses are…
Descriptors: Student Projects, Active Learning, Engineering Education, Computer Science Education
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Koole, Marguerite; Elian, Kaleigh – International Journal of Mobile and Blended Learning, 2022
In the Winter semester of 2020 during a multimedia design and production class for pre-service teachers, the students were introduced to basic computer coding concepts such as variables, conditional statements, various expressions, logic, and syntax. For their final project, the students were asked to create an interactive instructional app using…
Descriptors: Design, Multimedia Instruction, Preservice Teachers, Teacher Education Programs
Fancsali, Cheri – Research Alliance for New York City Schools, 2022
New York City is one of several large school districts around the country that are actively working to promote "computer science for all" students. Launched in 2015, NYC's CS4All initiative aims to ensure that all public school students learn computer science--especially female, Black, and Latinx students, who are starkly…
Descriptors: Computer Science Education, Elementary Secondary Education, Equal Education, Public Schools
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Huo, Rongrong – European Journal of Science and Mathematics Education, 2023
In our investigation of university students' knowledge about real numbers in relation to computer algebra systems (CAS) and how it could be developed in view of their future activity as teachers, we used a computer algorithm as a case to explore the relationship between CAS and the knowledge of real numbers as decimal representations. Our work was…
Descriptors: Numbers, Computer Science Education, Knowledge Level, Algorithms
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