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Allen, Becky; McGough, Andrew Stephen; Devlin, Marie – ACM Transactions on Computing Education, 2022
Artificial Intelligence and its sub-disciplines are becoming increasingly relevant in numerous areas of academia as well as industry and can now be considered a core area of Computer Science. The Higher Education sector are offering more courses in Machine Learning and Artificial Intelligence than ever before. However, there is a lack of research…
Descriptors: Artificial Intelligence, Audiences, Computer Science Education, Higher Education
Darejeh, Ali; Mashayekh, Sara; Marcus, Nadine – Cogent Education, 2022
E-learning systems, which are used for teaching complex software, can facilitate learning if they provide an appropriate teaching approach that decreases learners' cognitive load in addition to providing practical knowledge. We believe there is lack of cognitively guided educational recommendations on how to effectively and efficiently design such…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Computer Science Education
Bråting, Kajsa; Kilhamn, Cecilia – Scandinavian Journal of Educational Research, 2022
We characterize the recently included programming content in Swedish mathematics textbooks for elementary school. Especially, the connection between programming content and traditional mathematical content has been considered. The analytical tools used are based on the so-called 5E's, a theoretical framework of action, developed within the…
Descriptors: Foreign Countries, Programming, Computer Science Education, Mathematics Instruction
Xu, Jia; Wei, Tingting; Lv, Pin – International Educational Data Mining Society, 2022
In an Intelligent Tutoring System (ITS), problem (or question) difficulty is one of the most critical parameters, directly impacting problem design, test paper organization, result analysis, and even the fairness guarantee. However, it is very difficult to evaluate the problem difficulty by organized pre-tests or by expertise, because these…
Descriptors: Prediction, Programming, Natural Language Processing, Databases
Melissa Toohey – ProQuest LLC, 2022
The purpose of this study was to explore how elementary school teachers think about equity in relation to their goals in their computer science instruction, and to explore the strategies they articulated to make their practice more equitable. States are mandating computer science standards and instruction and requiring schools to teach the content…
Descriptors: Computer Science, Elementary School Teachers, Teacher Attitudes, Goal Orientation
Benjamin Xie – ProQuest LLC, 2022
Computing education has growing inclusion and equity challenges (e.g. exclusionary online learning experiences, biased assessments, inadequate student feedback mechanisms). Many groups experience minoritization in computing education, including students who are Black, Indigenous, and people of color (BIPOC), women, non-binary students, transfer…
Descriptors: Stakeholders, Inclusion, Equal Education, Computer Science Education
Katrina Laguarda; Linda Shear; Hui Yang; Xavier Fields; Satabdi Basu – SRI Education, a Division of SRI International, 2022
In company with other leading jurisdictions around the world, Hong Kong is taking important steps to mainstream computational thinking education (CTE) into the primary grades curriculum. At the vanguard of this movement in Hong Kong, CoolThink@JC is a 3-year course sequence for upper primary students designed to develop computational thinking…
Descriptors: Global Approach, Computer Science Education, 21st Century Skills, Elementary School Students
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

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