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Yuan-Chen Liu; Tzu-Hua Huang; Chien-Chia Huang – Interactive Learning Environments, 2024
In this study, an interactive programming learning environment was built with two types of error prompt functions: 1) the key prompt and 2) step-by-step prompt. A quasi-experimental study was conducted for five weeks, in which 75 sixth grade students from disadvantaged learning environments in Taipei, Taiwan, were divided into three groups: 1) the…
Descriptors: Programming, Computer Science Education, Cues, Grade 6
Gang Yang; Dan Zheng; Ji-Huan Chen; Qun-Fang Zeng; Yun-Fang Tu; Xiao-Li Zheng – Interactive Learning Environments, 2024
The game-based learning approach to developing students' computational thinking (CT) current has received attention from researchers. However, the compatibility between games and instruction is often insufficient to accommodate the entertaining and educational nature of the curriculum entirely, and the benefits of game-based learning could be…
Descriptors: Role Playing, Educational Games, Mental Computation, Learner Engagement
Oscar Navarro – ProQuest LLC, 2024
There is a significant gap in the number of women who go into college as computer science majors and decide to pursue the field in the workforce. There are challenges present for female students since the start of their education that their male counterparts do not face, which ultimately contributes to this gender gap. Such challenges include a…
Descriptors: Undergraduate Students, Females, Computer Science Education, Gender Issues
Hugo G. Lapierre; Patrick Charland; Pierre-Majorique Léger – Computer Science Education, 2024
Background and Context: Current programming learning research often compares novices and experienced programmers, leaving early learning stages and emotional and cognitive states under-explored. Objective: Our study investigates relationships between cognitive and emotional states and learning performance in early stage programming learners with…
Descriptors: Programming, Computer Science Education, Psychological Patterns, Cognitive Processes
Rois Saifuddin Zuhri; Insih Wilujeng; Haryanto Haryanto; Hamidulloh Ibda – Journal of Education and Learning (EduLearn), 2024
Implementing ICT education in elementary schools in the industrial era 4.0 is urgent. Several studies have explored ICT education in elementary schools, but few studies with systematic literature reviews remain. This article presents a literature review for 2019-2023 regarding ICT education in elementary schools. The Systematic Review Literature…
Descriptors: Information Technology, Technology Education, Computer Science Education, Elementary School Students
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
Tracy Ediger; Olga Glebova; Michael Waterson; Matthew Nusnbaum – Journal of College Science Teaching, 2024
During the COVID-19 pandemic, it was suddenly necessary to shift college courses online. Many instructors without experience teaching online were faced with decisions about how to structure their courses and support students during the pandemic. In the three introductory STEM courses described in this article, instructors chose to include online…
Descriptors: COVID-19, Pandemics, School Closing, Online Courses
Orly Barzilai; Sofia Sherman; Moshe Leiba; Hadar Spiegel – Journal of Information Systems Education, 2024
Data Structures and Algorithms (DS) is a basic computer science course that is a prerequisite for taking advanced information systems (IS) curriculum courses. The course aims to teach students how to analyze a problem, design a solution, and implement it using pseudocode to construct knowledge and develop the necessary skills for algorithmic…
Descriptors: Statistics Education, Problem Solving, Information Systems, Algorithms
Katie N. Smith – AERA Open, 2024
Despite the growing popularity of computing bachelor's programs, women remain vastly underrepresented in these fields. Using Social Cognitive Career Theory and intersectionality as guiding theories, this qualitative study explores how postsecondary institutions shape women's experiences choosing and entering computing bachelor's programs.…
Descriptors: Undergraduate Students, Females, Disproportionate Representation, Computer Science Education
Judith Galezer; Smadar Szekely – Informatics in Education, 2024
Spark, one of the products offered by MyQ (formerly Plethora), is a game-based platform meticulously designed to introduce students to the foundational concepts of computer science. By navigating through logical challenges, users delve into topics like abstraction, loops, and graph patterns. Setting itself apart from its counterparts, Spark boasts…
Descriptors: Learning Management Systems, Game Based Learning, Computer Science Education, Teaching Methods
Tiffany L. Wright – ProQuest LLC, 2024
This study aimed to examine the impact of cultural capital (Bourdieu, 1973; Bourdieu & Passeron, 1977) on the access and equity of C-STEM learners of color under the following four tenets of Yosso's (2005) Community Cultural Wealth model: aspirational, familial, social, and navigational capital. A theoretical framework of Critical Race Theory…
Descriptors: Cultural Capital, Access to Education, Equal Education, Females
Yan Lin; Hongjian Liao; Suxian Weng; Wanqi Dong – Education and Information Technologies, 2024
Children's preschool years are crucial for the development of computational thinking (CT) skills. However, debate continues regarding whether CT should be developed through plugged-in or unplugged activities. This study investigated the similarities and differences between plugged-in and unplugged activities with similar learning content and…
Descriptors: Learning Activities, Computer Science Education, Teaching Methods, Thinking Skills
Fan Xu; Ana-Paula Correia – Journal of Computing in Higher Education, 2024
As online learning has become an inevitable trend in the post-peak era of the COVID-19 pandemic, distributed pair programming (DPP) is gaining momentum in both education and industry. DDP serves as a collaborative programming approach and also benefits the development of computational thinking, a fundamental skill in today's world. This study…
Descriptors: Programming, Computer Science Education, Cooperative Learning, Learning Activities
Shmallo, Ronit; Ragonis, Noa – Education and Information Technologies, 2021
The paper presents research that aims to expose students' understanding of the "this" reference in object-oriented programming. The study was conducted with high school students (N = 86) and college engineering students (N = 77). Conceptualization of "this" reflects an understanding of objects in general and involves aspects of…
Descriptors: Computer Science Education, Programming, High School Students, College Students
Peña, Joslenne; Hanrahan, Benjamin V.; Rosson, Mary Beth; Cole, Carmen – ACM Transactions on Computing Education, 2021
Many initiatives have focused on attracting girls and young women (K-12 or college) to computer science education. However, professional women who never learned to program have been largely ignored, despite the fact that such individuals may have many opportunities to benefit from enhanced skills and attitudes about computer programming. To…
Descriptors: Computer Science Education, Professional Education, Females, Programming