NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 1,276 to 1,290 of 4,249 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Daleiden, Patrick; Stefik, Andreas; Uesbeck, P. Merlin; Pedersen, Jan – ACM Transactions on Computing Education, 2020
There are many paradigms available to address the unique and complex problems introduced with parallel programming. These complexities have implications for computer science education as ubiquitous multi-core computers drive the need for programmers to understand parallelism. One major obstacle to student learning of parallel programming is that…
Descriptors: Randomized Controlled Trials, Performance Factors, Programming, Computer Science Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Türker, Pinar Mihci; Pala, Ferhat Kadir – International Journal of Computer Science Education in Schools, 2020
In this study, the effect of algorithm education on pre-service teachers' computational thinking skills and computer programming self-efficacy perceptions were examined. In the study, one group pretest posttest experimental design was employed. The participants consisted of 24 (14 males and 10 females) pre-service teachers, majoring in Computer…
Descriptors: Mathematics, Computation, Computer Science Education, Programming
Peer reviewed Peer reviewed
Direct linkDirect link
Kenney, Rachael; An, Tuyin; Kim, Sung-Hee; Uhan, Nelson A.; Yi, Ji Soo; Shamsul, Aiman – International Journal of Science and Mathematics Education, 2020
In linear programming, many students find it difficult to translate a verbal description of a problem into a valid mathematical model. To better understand this, we examine the existing characteristics of college engineering students' errors across linear programming (LP) problems. We examined textbooks to identify the types of problems typically…
Descriptors: Programming, Error Patterns, Engineering Education, Word Problems (Mathematics)
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Grubišic, Ani; Žitko, Branko; Stankov, Slavomir – Journal of Technology and Science Education, 2020
In intelligent e-learning systems that adapt a learning and teaching process to student knowledge, it is important to adapt the system as quickly as possible. However, adaptation is not possible until the student model is initialized. In this paper, a new approach to student model initialization using domain knowledge representative subset is…
Descriptors: Electronic Learning, Educational Technology, Models, Intelligent Tutoring Systems
Peer reviewed Peer reviewed
Direct linkDirect link
Margulieux, Lauren E.; Morrison, Briana B.; Decker, Adrienne – International Journal of STEM Education, 2020
Background: Programming a computer is an increasingly valuable skill, but dropout and failure rates in introductory programming courses are regularly as high as 50%. Like many fields, programming requires students to learn complex problem-solving procedures from instructors who tend to have tacit knowledge about low-level procedures that they have…
Descriptors: Programming, Computer Science Education, Introductory Courses, Withdrawal (Education)
Peer reviewed Peer reviewed
Direct linkDirect link
Presicce, Carmelo; Jain, Rupal; Rodeghiero, Carolina; Gabaree, Lily E.; Rusk, Natalie – Information and Learning Sciences, 2020
Purpose: Many educators currently face challenges when trying to engage students in creative learning experiences online, where it can be particularly difficult to move beyond the transmissive approach typical of video lessons and webinars. The purpose of this paper is to present WeScratch, online workshops designed as welcoming, playful and…
Descriptors: Inclusion, Play, Cooperative Learning, Creativity
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kiliç, Servet – Informatics in Education, 2023
This study aims to explore how gamification elements influence the development of the Community of Inquiry (CoI) in an online project-based programming course conducted on Facebook. We formed student groups by using a quasi-experimental design from students studying in the computer science department. While both courses were project-based, the…
Descriptors: Instructional Effectiveness, Gamification, Communities of Practice, Inquiry
Peer reviewed Peer reviewed
Direct linkDirect link
Kuo, Yu-Chen; Chen, Yun-An – Education and Information Technologies, 2023
With the development of science and technology, the demand for programmers has increased. However, learning computer programs is not an easy task. It might cause a significant impact on programming if misconceptions exist at the beginning of the study. Hence, it is important to discover and correct them immediately. Chatbots are effective teaching…
Descriptors: Programming, Artificial Intelligence, Computer Science Education, Misconceptions
Peer reviewed Peer reviewed
Direct linkDirect link
An, Song A.; Hachey, Alyse C.; Kim, So Jung; Tillman, Daniel A. – Journal of Early Childhood Teacher Education, 2023
Traditionally, various meanings of "10" are systematically ignored in early childhood curriculum and children's understanding of numbers is restricted within the solitary mapping between the symbol "10" and quantity concept of "ten." This may be problematic for other ways that mathematics is used, both in modern life…
Descriptors: Mathematics Instruction, Teaching Methods, Numbers, Story Telling
Peer reviewed Peer reviewed
Direct linkDirect link
Murai, Yumiko; Ikejiri, Ryohei; Yamauchi, Yuhei; Tanaka, Ai; Nakano, Seiko – Interactive Learning Environments, 2023
Cultivating children's creativity and imagination is fundamental to preparing them for an increasingly complex and uncertain future. Engaging in creative learning enables children to think independently and critically, work cooperatively, and take risks while actively engaged in meaningful projects. While current trends in education, such as maker…
Descriptors: Creativity, Imagination, Teaching Methods, Computer Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
Baosen Zhang; Ariana Frkonja-Kuczin; Zhong-Hui Duan; Aliaksei Boika – Journal of Chemical Education, 2023
Computer vision (CV) is a subfield of artificial intelligence (AI) that trains computers to understand our visual world based on digital images. There are many successful applications of CV including face and hand gesture detection, weather recording, smart farming, and self-driving cars. Recent advances in computer vision with machine learning…
Descriptors: Classification, Laboratory Equipment, Visual Aids, Optics
Peer reviewed Peer reviewed
Direct linkDirect link
Umar Shehzad; Jody Clarke-Midura; Mimi Recker – ACM Transactions on Computing Education, 2024
Objectives: The increasing demand for computing skills has led to a rapid rise in the development of new computer science (CS) curricula, many with the goal of equitably broadening the participation of underrepresented students in CS. While such initiatives are vital, factors outside of the school environment also play a role in influencing…
Descriptors: Parent Child Relationship, Computer Science Education, Programming, Equal Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Katharine Childs; Sue Sentance – International Journal of Computer Science Education in Schools, 2024
Gender balance in computing education is a decades-old issue that has been the focus of much previous research. In K-12, the introduction of mandatory computing education goes some way to giving all learners the opportunity to engage with computing throughout school, but a gender imbalance still persists when computer science becomes an elective…
Descriptors: Computer Science Education, Females, Student Attitudes, Elementary School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Sally McHugh; Noel Carroll; Cornelia Connolly – Computers in the Schools, 2024
Citizen Development (CD) is a method of delivering low-code no-code (LCNC) development that empowers subject matter experts to design, develop, and deploy applications into production as though they were full-on, experienced coders. This paper explores teachers' perceptions around the potential for, and enactment of LCNC in our education system.…
Descriptors: Secondary School Teachers, Teacher Empowerment, Teacher Attitudes, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Sangwin, Christopher J.; O'Toole, Claire – International Journal of Mathematical Education in Science and Technology, 2017
This paper reports a study which investigated the extent to which undergraduate mathematics students in the United Kingdom are currently taught to programme a computer as a core part of their mathematics degree programme. We undertook an online survey, with significant follow-up correspondence, to gather data on current curricula and received…
Descriptors: Mathematics Curriculum, Mathematics Instruction, Programming, Foreign Countries
Pages: 1  |  ...  |  82  |  83  |  84  |  85  |  86  |  87  |  88  |  89  |  90  |  ...  |  284