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Li, Ken W.; Goos, Merrilyn – International Electronic Journal of Mathematics Education, 2021
This paper addresses the question of whether peer collaboration affects students' performance of regression modelling tasks, an experimental study consisting of a test was conducted in a computing laboratory. Collaborating groups of students were randomly assigned to one of three experimental conditions: pre-task discussion (i.e., group members…
Descriptors: Cooperative Learning, Academic Achievement, Computer Science Education, Regression (Statistics)
Cossa, José; Barker, Lecia – Journal of Interdisciplinary Studies in Education, 2021
This study investigates the motivation of African American master's degree students in computing to pursue a PhD in Computing. Specifically, we sought to understand the motivation of those students attending Historically Black Colleges and Universities (HBCUs) in the United States. Our framework was founded on the premise that an adequate…
Descriptors: Student Motivation, Computer Science Education, African American Students, Black Colleges
Obeidat, Raghad; Alzoubi, Hussein – International Journal of Information and Communication Technology Education, 2021
Curricula in computer engineering, computer science, and other related fields include several courses about hardware design. Examples of these courses are digital logic design, computer architecture, microprocessors, computer interfacing, hardware design, embedded systems, switching theorem, and others. In order for the students to realize the…
Descriptors: Programming Languages, Computer Science Education, Concept Formation, Engineering Education
Kim, Brian; Henke, Graham – Journal of Statistics and Data Science Education, 2021
One of the biggest hurdles of teaching data science and programming techniques to beginners is simply getting started with the technology. With multiple versions of the same coding language available (e.g., Python 2 and Python 3), various additional libraries and packages to install, as well as integrated development environments to navigate, the…
Descriptors: Computer Software, Data Analysis, Programming Languages, Computer Science Education
Gaweda, Adam M.; Lynch, Collin F. – International Educational Data Mining Society, 2021
There are a number of novel exercise types that students can utilize while learning Computer Science, each with its own level of complexity and interaction as outlined by the ICAP Framework [10]. Some are "Interactive," like solving coding problems; "Constructive," like explaining code; "Active," like retyping source…
Descriptors: Computer Science Education, Learning Activities, Student Behavior, Study Habits
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
Olipas, Cris Norman P.; Leona, Rodibelle F.; Villegas, Andrew Caezar A.; Cunanan, Angelito I., Jr.; Javate, Charles Lawrence P. – Online Submission, 2021
The 21st century has caused numerous significant impacts and advancements in the lives of people. Information Technology (IT) has contributed essential benefits in the different areas of the society. One of the vital skills in developing IT solutions is programming. For many, writing computer programs may be a very challenging task which may…
Descriptors: Academic Achievement, Programming, Information Technology, Computer Science Education
Zhun Deng – ProQuest LLC, 2021
Machine learning has achieved state-of-the-art performance in many areas, including image recognition and natural language processing. However, there are still many challenges and mysteries attracting numerous researchers. This dissertation comprises a series of works concerning problems at the intersection of computer science theory, adversarial…
Descriptors: Learning Analytics, Instructional Design, Artificial Intelligence, Computer Science
Valerie Sledd Taylor – ProQuest LLC, 2021
Computer science education is being recognized globally as necessary to better prepare students in all grade levels, K-12, for future success. As a result of this focus on computer science education in the United States and around the world, there is an increased demand for highly qualified teachers with content and pedagogical knowledge to…
Descriptors: Preservice Teachers, Teacher Attitudes, Computer Science Education, Academic Standards
Lei Tang – ProQuest LLC, 2018
The software industry spends a tremendous amount of effort and resources on software testing and maintenance to improve the quality of software. However, a large portion of the cost may be saved by training high-quality software developers with better Computer Science education. Skilled software developers can not only produce code of fewer bugs…
Descriptors: Computer Science, Computer Science Education, Introductory Courses, Programming
Agnese Ilaria Telloni – International Journal of Mathematical Education in Science and Technology, 2024
We present a model for roleplaying (RP) for university students that is aimed at fostering the interactions of each learner with the teacher and coursemates, self- and peer-assessment, as well as an awareness and meaningful learning of mathematics. Specific features of our model are its focus on metacognition and individualized learning, based on…
Descriptors: Advanced Courses, Mathematics Instruction, Metacognition, Engineering Education
Dan Sun; Azzeddine Boudouaia; Chengcong Zhu; Yan Li – International Journal of Educational Technology in Higher Education, 2024
ChatGPT, an AI-based chatbot with automatic code generation abilities, has shown its promise in improving the quality of programming education by providing learners with opportunities to better understand the principles of programming. However, limited empirical studies have explored the impact of ChatGPT on learners' programming processes. This…
Descriptors: Computer Science Education, Computer Software, Feedback (Response), Artificial Intelligence
Amanda A. Barrett; Colin T. Smith; Courtni H. Hafen; Emilee Severe; Elizabeth G. Bailey – Computer Science Education, 2024
Background and Context: While biology has strong female representation, computer science is the least gender equitable of the STEM fields. A better understanding of the barriers that keep women out of computational fields will help overcome those barriers to create a more diverse workforce. Objective: We investigated the complexities that…
Descriptors: Sex Role, Majors (Students), Prior Learning, Computer Science Education
Andreas Larsson; Karin Stolpe – International Journal of Technology and Design Education, 2024
In recent years, subject content such as programming and digital literacy has become an integral part of technology education. However, research shows that many programming teachers lack sufficient formal education to teach programming and show disparate educational and professional experiences. This study investigates how three teachers'…
Descriptors: Knowledge Base for Teaching, Teacher Characteristics, Digital Literacy, Technology Education
Jue Wu; David H. Uttal – Science Education, 2024
The gender imbalance in computer science (CS) is one of the most challenging issues in American education. CS is the only science, technology, engineering, and mathematics (STEM) field in which women's representation has steadily declined in recent decades. In this study, we explored one potential approach that could be effective in increasing…
Descriptors: Private Colleges, Computer Science, Females, STEM Education