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Gutierrez-Pachas, Daniel A.; Garcia-Zanabria, Germain; Cuadros-Vargas, Alex J.; Camara-Chavez, Guillermo; Poco, Jorge; Gomez-Nieto, Erick – Education Sciences, 2022
Computer science is a dynamic field of study that requires constant review and updating of the curricular designs in academic programs--in general, measuring the impact of plan changes has been little explored in the literature. In most cases, it focuses only on structuring its curricula, leaving aside several factors associated with important…
Descriptors: Curriculum Design, Educational Change, Computer Science Education, Case Studies
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Akcaoglu, Mete; Dogan, Selcuk; Hodges, Charles B. – TechTrends: Linking Research and Practice to Improve Learning, 2022
In this paper, we describe the design, development, and implementation of a curriculum based on teaching computer science using an industry-standard game-design software: Unity 3D. We discuss the theoretical underpinnings of our instructional design process and steps we have taken to introduce complexity and maintain student motivation. We discuss…
Descriptors: Curriculum Design, Curriculum Development, Curriculum Implementation, Coding
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Kumar, Vishesh; Tissenbaum, Mike – British Journal of Educational Technology, 2022
This paper presents an implementation of Connected Spaces (CxS)--an ambient help seeking interface designed and developed for a project-based computing classroom. We use actor network theory (ANT) to provide an underutilized posthumanist lens to understand the creation of collaborative connections in this Computational Action-based implementation.…
Descriptors: Social Behavior, Cooperative Learning, Student Projects, Active Learning
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Menon, Pratibha – Information Systems Education Journal, 2022
The autonomy and flexibility that online learning contents provide students in a traditional face-to-face course require them to pick up newer strategies for regulating their learning process. This study focuses on identifying how students' self-reported traits of self-regulated learning may relate to the task value of the learning contents of an…
Descriptors: Learning Strategies, Programming, Computer Science Education, Metacognition
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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
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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
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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
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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
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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
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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
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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
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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
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