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Simone Elias; Edward Cromarty; Linda Wilson-Jones – Journal of Research Initiatives, 2022
This article approaches the problem of underrepresentation of women and marginalized ethnic groups in the computer science fields from a developmental learning perspective. It proposes that systemic social barriers need to be addressed to overcome the bias toward women in the technological fields. The article surmises that even though stereotypes…
Descriptors: Barriers, Females, Minority Group Students, Ethnic Groups
Bertrand Schneider; Tonya Bryant – Cognition and Instruction, 2024
The goal of this paper is to bring new insights to the study of social learning processes by designing measures of collaboration using high-frequency sensor data. More specifically, we are interested in understanding the interplay between moments of collaboration and cooperation, which is an understudied area of research. We collected a multimodal…
Descriptors: Eye Movements, Socialization, Attention Control, Correlation
Tomoko M. Nakajima; Julia Rose Karpicz; Justin A. Gutzwa – Journal of Diversity in Higher Education, 2024
Although undergraduate (UG) computer science (CS) programs are increasingly engaged in diversification efforts, this work is rarely critically informed or assessed. We conducted a qualitative secondary analysis of interviews with 55 campus leaders at four U.S. institutions of higher education, to examine how diversity initiatives broadened the…
Descriptors: Campuses, Leaders, Undergraduate Study, Student Participation
Meng-Han Tsai – Journal of Civil Engineering Education, 2024
This research describes a case study of an integrated human-computer interaction (HCI) course for construction engineering students using project-based learning and experiential learning cycle methods. To help engineering students keep pace with the increasing use of information technology (IT) in the construction industry, educational…
Descriptors: Design, Thinking Skills, Student Projects, Active Learning
Teresa M. Ober; Ying Cheng; Meghan R. Coggins; Paul Brenner; Janice Zdankus; Philip Gonsalves; Emmanuel Johnson; Tim Urdan – Computer Science Education, 2024
Background and Context: Differences in children's and adolescents' initial attitudes about computing and other STEM fields may form during middle school and shape decisions leading to career entry. Early emerging differences in career interest may propagate a lack of diversity in computer science and programming fields. Objective: Though middle…
Descriptors: Middle School Students, Student Attitudes, Computer Science Education, STEM Education
Anael Kuperwajs Cohen; Alannah Oleson; Amy J. Ko – ACM Transactions on Computing Education, 2024
Collaboration is an important aspect of computing. In a classroom setting, working with others can increase a student's motivation to attempt more challenges, reduce the difficulty of complicated concepts, and bring about greater overall success. Despite extensive research in other domains, there has been minimal exploration within computing on…
Descriptors: College Students, Help Seeking, Student Behavior, Programming
Keunjae Kim; Kyungbin Kwon – Journal of Educational Computing Research, 2024
This study presents an inclusive K-12 AI curriculum for elementary schools, focusing on six design principles to address gender disparities. The curriculum, designed by the researchers and an elementary teacher, uses tangible tools, and emphasizes collaboration in solving daily problems. The MANOVA results revealed initial gender differences in AI…
Descriptors: Artificial Intelligence, Curriculum Development, Inclusion, Elementary Secondary Education
Sevilay Dervisoglu; Susanne Menzel – Journal of Baltic Science Education, 2024
Knowing the factors affecting fear of large carnivores is important for wildlife management and conservation. In this regard, the effect of worldviews of human-wildlife and human-nature relationships on the fear of large carnivores needs to be investigated in different cultures. In this study, the influence of wildlife value orientations (WVOs),…
Descriptors: Majors (Students), Science Education, Computer Science Education, Education Majors
Dalize van Heerden; Jeanne Kriek – Online Submission, 2024
Researchers and educators are concerned about student success in tertiary programming courses, a situation that is even more pronounced in open and distance e-learning institutions. The aim of this study was to integrate 60 video lessons and compare passing and failing student in terms of their performance in JavaScript with three broad online…
Descriptors: Video Technology, Technology Uses in Education, Electronic Learning, Introductory Courses
Francesco C. Ugolini; Panagiotis Kakavas – Research on Education and Media, 2024
This study consists of a 17-year (2006-2021) systematic literature review on the effective instructional strategies for developing Computational Thinking (CT) in primary school students (K-5). The aim of this paper is to identify instructional strategies that have been implemented and evaluated by means of a pre- and post-test, with the aim of…
Descriptors: Teaching Methods, Computer Science Education, Kindergarten, Elementary School Students
Hengtao Tang; Yingxiao Qian; Susan Porter-Voss – Education and Information Technologies, 2024
Integrating computer science (CS) content into existing STEM curricula emerges as a viable solution to broadening rural students' participation in CS, but rural students have a significant proficiency gap in science and mathematics. By focusing on an English language arts course as the context for CS integration, this exploratory study examined…
Descriptors: Rural Areas, Computer Science, Self Efficacy, Robotics
Michael Karlin; Yin-Chan Janet Liao; Conrad Oh-Young; Swati Mehta; Mahya Minaiy – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2024
Despite a growing national focus on computer science (CS) education, students with disabilities are often excluded from or not able to access high quality CS experiences and coursework. One reason for this is a lack of teachers who support students with disabilities and also hold CS knowledge and skills. Integrating CS into preservice teacher…
Descriptors: Preservice Teacher Education, Students with Disabilities, Computer Science Education, Teacher Competencies
Alexandra R. Costa; Natércia Lima; Clara Viegas; Amélia Caldeira – Cogent Education, 2024
The use of AI tools, particularly ChatGPT, has been widespread in recent years. Its application in education has been criticized by some and supported by others. In this article we present the case of a work carried out as part of a course unit in a computer science degree program in which the use of ChatGPT was not only encouraged but required.…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Computer Science Education
Nitesh Kumar Jha; Plaban Kumar Bhowmik; Kaushal Kumar Bhagat – Educational Technology Research and Development, 2024
A majority of research in Computational Thinking (CT) mainly focuses on teaching coding to school students. However, CT involves more than just coding and includes other skills like algorithmic thinking. The current study developed an Online Inquiry-based Learning Platform for Computational Thinking (CT-ONLINQ) that follows Inquiry-Based Learning…
Descriptors: Thinking Skills, Computer Science Education, Comparative Analysis, Problem Solving
Jing Liu; Cameron Conrad; David Blazar – Annenberg Institute for School Reform at Brown University, 2024
This study provides the first causal analysis of the impact of expanding Computer Science (CS) education in U.S. K-12 schools on students' choice of college major and early career outcomes. Utilizing rich longitudinal data from Maryland, we exploit variation from the staggered rollout of CS course offerings across high schools. Our findings…
Descriptors: Computer Science Education, Equal Education, Access to Education, Majors (Students)

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