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Yung Chun; Xueying Mei; Wenrui Huang; Greg Zubler; Jason Jabbari – Annenberg Institute for School Reform at Brown University, 2024
We examine three coding bootcamps offered by LaunchCode (LC101, Women+, and CodeCamp) to understand if tailored structures within coding bootcamp programs--designed for underrepresented groups in Science, Technology, Engineering, and Math (STEM)--lead to increased program persistence for women, underrepresented minorities, and low-income…
Descriptors: STEM Education, STEM Careers, Employment Level, Females
Joseph Frusci – Journal of Cybersecurity Education, Research and Practice, 2024
The increasing complexity of cybersecurity challenges necessitates a holistic educational approach that integrates both technical skills and humanistic perspectives. This article examines the importance of infusing humanities disciplines such as history, ethics, political science, sociology, law, and anthropology, into cybersecurity education.…
Descriptors: Humanities, Humanities Instruction, Computer Science Education, Computer Security
Ling Wang; Shen Zhan – Education Research and Perspectives, 2024
Generative Artificial Intelligence (GenAI) is transforming education, with assessment design emerging as a crucial area of innovation, particularly in computer science (CS) education. Effective assessment is critical for evaluating student competencies and guiding learning processes, yet traditional practices face significant challenges in CS…
Descriptors: Artificial Intelligence, Computer Science Education, Technology Uses in Education, Student Evaluation
Zharkynay Yesmakhanova; Yerepbayev Nurlan; Aktolkyn Boranbayeva; Alimbayev Medeu; Galiya Rysbayeva; Nurlybek Omarov – South African Journal of Education, 2024
Educational environments created by combining traditional learning environments and technology have grown, especially in recent years and have become an indispensable part of education. Therefore, with this research we aimed to evaluate students' attitudes towards blended learning. To gather university students' opinions on the effectiveness of…
Descriptors: Evaluation, Student Attitudes, Blended Learning, Computer Science Education
Melissa Unger – ProQuest LLC, 2024
Computer Science (CS) is a rapidly growing field that impacts almost every aspect of students' lives. From media consumption to future careers in medicine, agriculture, security, finance, and other areas, understanding computer programming is essential for 21st-century society and careers. Over the next decade, employment opportunities in computer…
Descriptors: Computer Science Education, Self Efficacy, Grade 2, Teacher Attitudes
Orly Buchbinder; Sharon McCrone; Michelle Capozzoli; Rebecca Butler – International Journal of Research in Undergraduate Mathematics Education, 2024
The calls for reasoning and proof to have a prominent place in secondary mathematics classrooms raise the question of knowledge that teachers need to support student learning of reasoning and proof. Several conceptualizations of Mathematical Knowledge for Teaching Proof (MKT-P) have been proposed over the years, yet some key questions about the…
Descriptors: Preservice Teachers, Secondary School Teachers, Undergraduate Students, Pedagogical Content Knowledge
Amanpreet Kaur; Kuljit Kaur Chahal – Education and Information Technologies, 2024
Research so far has overlooked the contribution of students' noncognitive factors to their performance in introductory programming in the context of personalized learning support. This study uses learning analytics to design and implement a Dashboard to understand the contribution of introductory programming students' learning motivation,…
Descriptors: Learning Analytics, Introductory Courses, Programming, Computer Science Education
Rebecca L. Matz; Mark Mills; Holly A. Derry; Benjamin T. Hayward; Caitlin Hayward – British Journal of Educational Technology, 2024
Mastery-based assignments typically provide students with multiple opportunities to improve their performance, but getting students to take advantage of these opportunities is difficult. We report on the implementation of a two-part series of nudges designed to improve students' engagement with and performance on mastery-based assignments in…
Descriptors: Mastery Learning, Scores, Assignments, Prompting
Camille Ferguson; Vanora Thomas; Juan Del Toro; Daniel Light; Kamau Bobb; Peta-Gay Clarke; Shameeka Emanuel; Ed Gronke; Mary Jo Madda; Imani Jennings – ACM Transactions on Computing Education, 2024
Black women represent the greatest underrepresentation in STEM fields, particularly the technology sector. According to a 2015 article in "The Verge," Black women make up between 0% and 7% of the staff at the eight largest technology firms in the United States. This points to a glaring problem in terms of equity and inclusivity in the…
Descriptors: Social Capital, Computer Science Education, Ecology, African American Students
Gabriella Colajanni; Alessandro Gobbi; Marinella Picchi; Alice Raffaele; Eugenia Taranto – INFORMS Transactions on Education, 2024
In this paper, we continue describing the project and the experimentation of "Ricerca Operativa Applicazioni Reali" (ROAR; in English, Real Applications of Operations Research), a three-year project for higher secondary schools, introduced. ROAR is composed of three teaching units, addressed to Grades 10, 11, and 12, respectively, having…
Descriptors: Foreign Countries, Grade 11, Operations Research, High School Students
Lin Zhang; Qiang Jiang; Weiyan Xiong; Wei Zhao – Journal of Educational Computing Research, 2025
This study seeks to deepen the understanding of the direct and indirect effects of human-computer dialogic interaction programming activities, facilitated by ChatGPT, on student engagement. Data were collected from 109 Chinese high school students who engaged in programming tasks using either ChatGPT-driven dialogic interaction or traditional pair…
Descriptors: Artificial Intelligence, Computer Software, Computer Science Education, Programming
Christine Ladwig; Dana Schwieger; Reshmi Mitra – Information Systems Education Journal, 2025
The rapid rise of AI use is creating some very serious legal and ethical issues such as bias, discrimination, inequity, privacy violations, and--as creators everywhere fear--theft of protected intellectual property. Because AI platforms "learn" by scraping training materials available online or what is provided to them through their…
Descriptors: Copyrights, Plagiarism, Intellectual Property, Computer Software
David Kocsis; Morgan Shepherd; Daniel L. Segal – Journal of Information Systems Education, 2025
This paper describes the development of a training module to improve students' individual online behaviors. We developed this module to integrate cyber hygiene concepts into a hands-on learning activity where students develop and secure a mobile web application using the Salesforce Developer tool. This new module aims to prepare the next…
Descriptors: Tutorial Programs, Computer Science Education, Computer Security, Programming
Hsiu-Ju Chen – Journal of College Science Teaching, 2025
As cloud computing gains prominence, universities have increasingly incorporated it into their curricula, necessitating a balance between theoretical knowledge and practical skills. However, students' learning of cloud computing was not clear. The primary objectives of this study are to assess variations in students' self-efficacy and…
Descriptors: Information Storage, Information Management, Information Technology, Technology Uses in Education
Jhon Jairo Ramírez-Echeverry; Felipe Restrepo-Calle; Stephanie Torres Jiménez – European Journal of Education, 2025
This study investigates the self-regulated learning strategies employed by students in computer programming courses. Utilising the Questionnaire on Learning Strategies in Computer Programming (CEAPC), the research aims to identify specific strategies used by students. The findings reveal a variety of effective learning strategies, including…
Descriptors: Independent Study, Learning Strategies, Programming, Computer Science Education

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