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Kaiyue Jia; Teresa H. M. Leung; Ngai Yan Irene Cheung; Yixun Li; Junnan Yu – ACM Transactions on Computing Education, 2025
The increasing prevalence of AI in everyday life has intensified the emphasis on teaching AI literacy to children. However, there is no consensus on the specific knowledge and skills that constitute children's AI literacy, resulting in varied AI learning materials for young people. We systematically searched for educational practices for…
Descriptors: Computer Science Education, Digital Literacy, Artificial Intelligence, Children
Peidi Gu; Jiaming Wu; Zui Cheng; Yu Xia; Miaoting Cheng; Yan Dong – Education and Information Technologies, 2025
Teaching computational thinking skills to novice college students via programming poses considerable challenges. It involves learning programming language syntax and commands, along with fostering higher-order skills crucial for both computational thinking proficiency and future careers. To address this, we proposed a pedagogical approach…
Descriptors: Computation, Thinking Skills, Active Learning, Student Projects
Roxana Quintero-Manes; Camilo Vieira – Journal of Computing in Higher Education, 2025
This study had two objectives: (1) to evaluate the validity of an instrument for measuring differentiated cognitive loads in its Spanish version; and (2) to evaluate the three types of cognitive loads and their relationship with self-efficacy, self-concept, and interest in programming of students in an introductory course. Understanding and…
Descriptors: Cognitive Ability, Programming, Computer Science Education, Self Efficacy
Manuel B. Garcia – Education and Information Technologies, 2025
The emergence of generative AI tools like ChatGPT has sparked investigations into their applications in teaching and learning. In computer programming education, efforts are underway to explore how this tool can enhance instructional practices. Despite the growing literature, there is a lack of synthesis on its use in this field. This rapid review…
Descriptors: Computer Science Education, Teaching Methods, Programming, Computer Uses in Education
Qixuan Wu; Hyung Jae Chang; Long Ma – Journal of Advanced Academics, 2025
It is very important to identify talented students as soon as they are admitted to college so that appropriate resources are provided and allocated to them to optimize and excel in their education. Currently, this process is labor-intensive and time-consuming, as it involves manual reviews of each student's academic record. This raises the…
Descriptors: Electronic Learning, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Te Hu; Zongmin Fu; Niya Wang; Jinbin Gui; Qinghe Song; Xiaofan Qian – Education and Information Technologies, 2025
Digital image processing is an integral part of the computer vision field. However, traditional digital image processing teaching methods mainly focus on theoretical knowledge, lacking practical teaching content. To address this issue, this article proposes a project-based learning (PBL) model that consists of four key stages: project proposal,…
Descriptors: Student Projects, Active Learning, Models, Computer Uses in Education
Ellen Bobronnikov; Daniel Litwok; Kaitlyn Ciaffone; Anjali Pai – Abt Global, 2025
This study evaluates the Programming the Acceleration of Computing Education (PACE) Framework for Computer Science (CS) Systems Change, developed to promote equitable access to CS education for middle school students. Funded by an Education Innovation and Research (EIR) Early-Phase Grant, the intervention aimed to increase student understanding,…
Descriptors: Middle School Students, Computer Science Education, Equal Education, Access to Education
Tech Equity: A Survival Analysis of an Undergraduate Computer Science Supplemental Education Program
Ryan Creps; Shadman Islem; Bingran Zeng; Angela Boatman; Andrés Castro Samayoa – Innovative Higher Education, 2025
This study examines the success of undergraduate students in computer science supplementary courses offered by a non-profit organization in partnership with colleges and universities across the U.S. Using a novel dataset from the nonprofit organization, we present one of the first descriptive overviews of students enrolled in supplemental computer…
Descriptors: Undergraduate Study, Program Evaluation, Computer Science Education, Supplementary Education
Tereza Hannemann; Nikol Kopánková; Petra Surynková – Journal of Adult and Continuing Education, 2025
In today's world, having at least basic digital skills is essential in working, social, and family life. The present study uses grounded theory to explore ways in which people with little formal schooling engage with the digital world. Drawing on 54 semi-structured interviews, it describes how people with little IT experience from formal education…
Descriptors: Adult Students, Technological Literacy, Computer Security, Information Security
Salih Gülen; Ismail Dönmez; Fatma Betül Sengönül; Miyase Aslantas; Turgut Saritas; Ömer Sukenari; Emrah Eke; Semih Uçar – SAGE Open, 2025
STEM education aims to develop 21st-century skills, support economic growth and promote gender equality in STEM fields. It is known that gender stereotypes play a significant role in the formation of STEM identity. The most important factor preventing some high school-level female students from pursuing STEM careers is their lack of participation…
Descriptors: Robotics, Computer Science Education, Programming, High School Students
Brett D. Jones; Xiao Zhu; Margaret Ellis; Zeynep Ambarkutuk; Hande Fenerci – European Journal of Engineering Education, 2025
To address the demand for engineers and computer scientists in the workforce, and the fact that some engineering students dropout or change majors, we explored how the motivational climate in an undergraduate computer science (CS) course was related to students' motivational beliefs and academic and career goals. Participants included 310 students…
Descriptors: Student Attitudes, Student Motivation, Beliefs, Occupational Aspiration
Siran Li; Jiangyue Liu; Qianyan Dong – Australasian Journal of Educational Technology, 2025
Recent advancements in generative artificial intelligence (GenAI) have drawn significant attention from educators and researchers. However, its effects on learners' programming performance, self-efficacy and learning processes remain inconclusive, while the mechanisms underlying its efficiency-enhancing potential are underexplored. This study…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Science Education, Programming
Aditya Johri – ACM Transactions on Computing Education, 2025
Computing education has historically sought to align the education students receive in their formal programs with the proficiency required to succeed in the workplace. In recent years, research in this area has focused on "dispositions" which are affective qualities that are integral to completing work tasks and a component of…
Descriptors: Computer Science Education, Lifelong Learning, Workplace Learning, Informal Education
Cameron L. Roberts; Michael S. Horn – ACM Transactions on Computing Education, 2025
In recent years, the intersection of music and coding has emerged as a cross-disciplinary approach to engage learners in both musical and computational expression. This article examines the motivations and framing of recent music and coding research through an analysis of 65 articles published between 2004 and 2024. We survey the key findings of…
Descriptors: Literature Reviews, Coding, Music, Music Education
Youjin Choi; Feng Hou – Statistics Canada, 2025
This study aims to examine STEM graduates' retention in Canada after completing Canadian postsecondary programs. The retention of STEM graduates has improved in the last decade for both Canadian and international students. However, retention varied by educational and demographic characteristics. Canadian STEM graduates generally showed higher…
Descriptors: Foreign Countries, Foreign Students, STEM Education, Computer Science Education

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