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I-Ying Hsu; Fu-Hsing Tsai – Educational Technology & Society, 2023
This study developed a physical computing game-design project that incorporates block-based programming, physical computing, and computer game design for Taiwan's high school technology education curriculum to strengthen students' computational thinking. The project asked students to develop a somatosensory computer game using a block-based…
Descriptors: Computer Games, Design, Programming Languages, Student Attitudes
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Priti Oli; Rabin Banjade; Arun Balajiee Lekshmi Narayanan; Peter Brusilovsky; Vasile Rus – Grantee Submission, 2023
Self-efficacy, or the belief in one's ability to accomplish a task or achieve a goal, can significantly influence the effectiveness of various instructional methods to induce learning gains. The importance of self-efficacy is particularly pronounced in complex subjects like Computer Science, where students with high self-efficacy are more likely…
Descriptors: Computer Science Education, College Students, Self Efficacy, Programming
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Krish Pillai; Marcia Lovas – International Society for Technology, Education, and Science, 2023
A typical first computer science course (CS1) introduces the student to coding conventions, variables, methods, control structures, conditionals, and the semantics of classes and objects. Advanced concepts of inheritance, polymorphism, abstract classes, interfaces, and their use in the design process, are covered in a second-level course (CS2).…
Descriptors: Computer Games, Educational Games, Teaching Methods, Technology Uses in Education
Christopher A. Carr – ProQuest LLC, 2023
This doctoral dissertation explores the perceptions of diversity leadership by department chairs in engineering and computing in higher education and their role in creating social change. Using a qualitative research design, this study explores the lived experiences of department chairs who are tasked with leading diversity and inclusion efforts…
Descriptors: Diversity, Social Change, Engineering Education, Computer Science Education
Matthews, Lowell, Jr.; Yongpradit, Pat – Foundation for Excellence in Education (ExcelinEd), 2019
America's need for top talent in information technology and computer science is a longstanding problem. However, as the pace of technological change accelerates, the demand for skilled information technology and computer science workers is reaching critical levels while the supply of skilled workers remains well below the needs of the nation's…
Descriptors: Elementary Secondary Education, Computer Science Education, Educational Change, Demand Occupations
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Jijian Lu; Ruxin Zheng; Zikun Gong; Huifen Xu – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence (AI) has emerged as a noteworthy milestone and a consequential advancement in the annals of major disciplines within the domains of human science and technology. This study aims to explore the effects of generative AI-assisted preservice teaching skills training on preservice teachers' self-efficacy and higher…
Descriptors: Professional Development, Artificial Intelligence, Thinking Skills, Self Efficacy
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Christopher Lore; Hee-Sun Lee; Amy Pallant; Charles Connor; Jie Chao – International Journal of Science and Mathematics Education, 2024
As computational methods are widely used in science disciplines, integrating computational thinking (CT) into classroom materials can create authentic science learning experiences for students. In this study, we classroom-tested a CT-integrated geoscience curriculum module designed for secondary students. The module consisted of three inquiry…
Descriptors: Risk, Science Instruction, Physical Geography, Natural Disasters
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Elisaweta Ossovski; Michael Brinkmeier – European Journal of Engineering Education, 2024
Among students and lecturers of Computer Science (CS)-related subjects, there is often anecdotal talk that Frustration Tolerance (FT) is a requirement for success in CS studies or that students would learn it during their studies. In order to relate the anecdotal perception and the psychological concept of FT and to explore the anecdotal…
Descriptors: Computer Science Education, Majors (Students), Prerequisites, Required Courses
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Beyza Ucar-Longford; Anesa Hosein; Marion Heron – Journal of Digital Learning in Teacher Education, 2024
The literature widely reports that pre-service teachers repeatedly demonstrate inadequate argumentation skills. Through a mixed-methods research approach, this study investigated the effectiveness of a holistic online scaffolding design for guiding the development of pre-service teachers' argumentation skills. Participants were randomly assigned…
Descriptors: Preservice Teachers, Preservice Teacher Education, Persuasive Discourse, Skill Development
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Jessica Rivera; Anne-Marie Núñez; Igdalia Covarrubias – Journal of College Student Development, 2024
Research has indicated that, in comparison to their counterparts at predominantly White institutions (PWIs), Latinx students at Hispanic-Serving institutions (HSIs) tend to encounter less racism and, in turn, fewer challenges in shaping their ethnic identity development. Yet, evidence has also suggested that the disciplines, and by extension, the…
Descriptors: Self Concept, Hispanic American Students, Minority Serving Institutions, Ethnicity
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Brandi Robinson – International Journal on E-Learning, 2024
The integration of artificial intelligence in e-learning presents promising avenues for scalable, efficient content creation. However, the prevailing content-first approach in AI course design often compromises educational quality for speed, leading to courses that lack coherence, cognitive alignment, and structured progression. This article…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Ethics
Janice D. Gobert; Haiying Li; Rachel Dickler; Christine Lott – Grantee Submission, 2024
An intelligent tutoring system (ITS, henceforth) is currently defined as a computer system that delivers personalized instruction to students by using computational techniques to evaluate the learner in a variety of ways, including (but not limited to) their prior knowledge, competency/skill levels, motivation, and affective states. ITSs are…
Descriptors: Artificial Intelligence, Scaffolding (Teaching Technique), Computer Science Education, Teaching Methods
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Yepes, Igor; Barone, Dante Augusto Couto; Porciuncula, Cleber Mateus Duarte – Informatics in Education, 2022
With the growing search for qualified professionals in the exact area, teaching in STEM (Science, Technology, Engineering, and Mathematics) areas is gaining importance. In parallel, it appears that drones are an increasingly present reality in the civil area; however, there are few scientific studies of their application in the pedagogical…
Descriptors: STEM Education, Aviation Technology, Robotics, Teaching Methods
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Ezeamuzie, Ndudi O.; Leung, Jessica S. C.; Ting, Fridolin S. T. – Journal of Educational Computing Research, 2022
Although abstraction is widely understood to be one of the primary components of computational thinking, the roots of abstraction may be traced back to different fields. Hence, the meaning of abstraction in the context of computational thinking is often confounded, as researchers interpret abstraction through diverse lenses. To disentangle these…
Descriptors: Computer Science Education, Thinking Skills, Research Reports, Abstract Reasoning
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Ouyang, Fan; Dai, Xinyu; Chen, Si – International Journal of STEM Education, 2022
Background: Instructor scaffolding is proved to be an effective means to improve collaborative learning quality, but empirical research indicates discrepancies about the effect of instructor scaffoldings on collaborative programming. Few studies have used multimodal learning analytics (MMLA) to comprehensively analyze the collaborative programming…
Descriptors: Learning Analytics, Scaffolding (Teaching Technique), Small Group Instruction, Computer Science Education
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