NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 16 to 30 of 720 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Yin-Chan Liao; G. Sue Kasun; Nozipho Moyo – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2025
This study examined the impact of a U.S. federal teacher professional learning (PL) Fulbright program on computational literacy and artificial intelligence (AI) education for K-12 teachers (n = 21) from resource-constrained countries. Occurring shortly after the rise of generative AI in November 2023, the program may have further accentuated AI's…
Descriptors: Artificial Intelligence, Computer Literacy, Computer Science Education, Teacher Attitudes
Joseph Crifo – ProQuest LLC, 2024
The present study was conducted to determine how implementing computational thinking (via a proxy in AP Computer Science Principles) into a school's curriculum impacted student proficiency rates on the New York State Geometry Regents. Recent research has suggested that computational thinking is a skill that transcends specific content areas and…
Descriptors: Standardized Tests, Geometry, High School Students, Mathematics Instruction
Peer reviewed Peer reviewed
Jessica Brown; Jacqueline DeLisi; Lukas Winfield; Makoto Hanita; Anne Wang – Grantee Submission, 2025
The EIR-funded Work-Based Learning for Computer Science (WBL4CS) grant implemented a three-course, two-year Computer Science (CS) pathway in 20 Rhode Island High Schools. Evaluators from Education Development Center (EDC) employed a cluster randomized controlled trial to study the impact of integrating a Work-Based Learning course into the first…
Descriptors: Work Based Learning, Computer Science Education, High School Students, Career Pathways
Emeka Ejikeme – ProQuest LLC, 2023
The U.S. National Institute of Standards and Technology (NIST) identified that approximately 1.8 million cybersecurity positions were vacant in 2021 because of a lack of professionals with the required skill sets and who remained in their jobs long enough to contribute to their organizations' cybersecurity needs. Also shown was the rising global…
Descriptors: Best Practices, Computer Security, College Graduates, Computer Literacy
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Peggy P. – New Directions for Teaching and Learning, 2023
Many introductory computer science (CS) courses are intended to address the increased demand for computer literacy and the development of cross-cutting concepts and practices of computational thinking (CT). Colleges and universities offer introductory CS courses every semester toward this end. The issue is centered on how to support CT learning in…
Descriptors: Introductory Courses, Computer Science Education, Computer Literacy, Thinking Skills
Peer reviewed Peer reviewed
Direct linkDirect link
Ruta Pirta-Dreimane; Agne Brilingaite; Evita Roponena; Karen Parish; Janis Grabis; Ricardo Gregorio Lugo; Martinš Bonders – Technology, Knowledge and Learning, 2025
Incorporating gamification elements and innovative approaches in training programs are promising for addressing cybersecurity knowledge gaps. Cybersecurity education should combine hard and soft skill development when building the capacity to manage cyber incidents requiring timely communication, team collaboration, and self-efficacy in risk…
Descriptors: Computer Security, Computer Science Education, Educational Games, Gamification
Peer reviewed Peer reviewed
Direct linkDirect link
Dan Sun; Fan Ouyang; Yan Li; Chengcong Zhu; Yang Zhou – Journal of Computer Assisted Learning, 2024
Background: With the development of computational literacy, there has been a surge in both research and practice application of text-based and block-based modalities within the field of computer programming education. Despite this trend, little work has actually examined how learners engaging in programming process when utilizing these two major…
Descriptors: Computer Science Education, Programming, Computer Literacy, Comparative Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Caughman, Alicia M.; Weigel, Emily G. – CBE - Life Sciences Education, 2022
Quantitative and computational skills are required of 21st-century biologists. While biology student abilities and attitudes toward math have been studied extensively, less is known about corresponding attitudes toward computer science (CS). It is important to understand how students perceive math and CS subjects and whether those perceptions are…
Descriptors: Biology, Mathematics Skills, Computer Literacy, Computer Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
Qian Fu; Wenjing Tang; Yafeng Zheng; Haotian Ma; Tianlong Zhong – Interactive Learning Environments, 2024
In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…
Descriptors: Predictor Variables, Psychological Patterns, Programming, Self Management
McCauley, Krystin – ProQuest LLC, 2021
The purpose of this action research was to explore the information and communication technology (ICT) literacy skills of first-year minority students at Saint Augustine's University in order to develop a plan for an ICT professional development program. ICT skills are essential in our rapidly-changing and technology-driven society. While there is…
Descriptors: Information Technology, Computer Literacy, College Freshmen, Minority Group Students
Peer reviewed Peer reviewed
Direct linkDirect link
Webb, Kevin C.; Zingaro, Daniel; Liao, Soohyun Nam; Taylor, Cynthia; Lee, Cynthia; Clancy, Michael; Porter, Leo – ACM Transactions on Computing Education, 2022
A Concept Inventory (CI) is an assessment to measure student conceptual understanding of a particular topic. This article presents the results of a CI for basic data structures (BDSI) that has been previously shown to have strong evidence for validity. The goal of this work is to help researchers or instructors who administer the BDSI in their own…
Descriptors: Measures (Individuals), Concept Formation, Computer Science Education, Test Results
McDonnell, Rachel Pleasants; Fraser, Shakari; Sullivan, Felicia; Webber, Alison Ascher; Vanek, Jen; Harris, Jamie – Jobs for the Future, 2022
With the urgency of adult digital skill development as a backdrop, the Digital Resilience in the American Workforce (DRAW) initiative, funded by the U.S. Department of Education's Office of Career, Technical, and Adult Education (OCTAE), conducted a national landscape scan to identify existing resources and effective approaches for digital skills…
Descriptors: Adult Students, Adult Learning, Technological Literacy, Computer Literacy
Peer reviewed Peer reviewed
Direct linkDirect link
Jean J. Ryoo; Michelle Choi; Wei Wei; Jacqualyn Blizzard-Caron; Ryan Clarke; Lillian Kohn; Daniel Voloch – Journal of Research on Technology in Education, 2025
This paper explores how minoritized Computer Science (CS) students articulate their sense of critical agency to positively impact the world around them, both for today and the future, when participating in a Girls Who Code program focused on ethics, equity, and underrepresentation in computing. Observations, interviews, and surveys were conducted…
Descriptors: Computer Science Education, Middle School Students, High School Students, Clubs
Peer reviewed Peer reviewed
Direct linkDirect link
Jessica M. M. Hamer; Peter E. J. Kemp; Billy Wong; Meggie Copsey-Blake – Cambridge Journal of Education, 2024
Digital skills are beneficial for young people and society, but some individuals, particularly girls, are less likely to choose computing post-compulsory education. Coding is a crucial skill in the school computing curriculum. The authors collected survey data from 4983 secondary-school students (ages 11-16) as well as conducted exploratory factor…
Descriptors: Foreign Countries, Secondary School Students, Computer Science Education, Coding
Peer reviewed Peer reviewed
Direct linkDirect link
Prasad, Alvin; Chaudhary, Kaylash; Sharma, Bibhya – Education and Information Technologies, 2022
As a novice, learning computer programming is challenging. It requires learners to be inquisitive and acquire skills to analyze problems to get to solutions critically. Unfortunately, students drop out of programming courses because students think that programming is difficult to understand. The student's understanding of the problem definition is…
Descriptors: Programming, Computer Science Education, Skill Development, Computer Literacy
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  48