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Debora Lui; Deborah A. Fields; Yasmin B. Kafai – Cognition and Instruction, 2024
Debugging (or troubleshooting) provides a rich context to foster problem-solving. Yet, while we know much about some problems and strategies that novices face in programming on-screen, we know far less about debugging and troubleshooting in the context of physical computing, where coding issues may overlap with materially embedded problems. In…
Descriptors: Grade 9, STEM Education, Troubleshooting, Public Schools
Leitner, Maxyn; Greenwald, Eric; Wang, Ning; Montgomery, Ryan; Merchant, Chirag – International Journal of Artificial Intelligence in Education, 2023
Artificial Intelligence (AI) permeates every aspect of our daily lives and is no longer a subject reserved for a select few in higher education but is essential knowledge that our youth need for the future. Much is unknown about the level of AI knowledge that is age and developmentally appropriate for high school, let alone about how to teach AI…
Descriptors: Instructional Design, Game Based Learning, High School Students, Artificial Intelligence
Gabriella Colajanni; Alessandro Gobbi; Marinella Picchi; Alice Raffaele; Eugenia Taranto – INFORMS Transactions on Education, 2024
In this paper, we continue describing the project and the experimentation of "Ricerca Operativa Applicazioni Reali" (ROAR; in English, Real Applications of Operations Research), a three-year project for higher secondary schools, introduced. ROAR is composed of three teaching units, addressed to Grades 10, 11, and 12, respectively, having…
Descriptors: Foreign Countries, Grade 11, Operations Research, High School Students
Breniel Lemley – ProQuest LLC, 2023
The rise in children's media use (Rideout & Robb, 2020) and the prioritization of STEM learning (Fayer et al., 2017) has led to the development of new STEM-related apps, TV shows, and other media for young children. One topic in this area gaining popularity is computational thinking (CT). Researchers refer to CT as an approach to problem…
Descriptors: Educational Television, Culturally Relevant Education, Inclusion, Computation
Ng, Oi-Lam; Leung, Allen; Ye, Huiyan – ZDM: Mathematics Education, 2023
Programming is an interdisciplinary practice with applications in both mathematics and computer science. Mathematics concerns rigor, abstraction, and generalization. Computer science predominantly concerns efficiency, concreteness, and physicality. This makes programming a medium for problem solving that mediates between mathematics and computer…
Descriptors: Computation, Thinking Skills, Programming, Programming Languages
Okhee Lee; Scott Grapin – Journal of Research in Science Teaching, 2025
We propose a conceptual framework for STEM education that is centered around justice for minoritized groups. Justice-centered STEM education engages all students in multiple STEM subjects, including data science and computer science, to explain and design solutions to societal challenges disproportionately impacting minoritized groups. We…
Descriptors: Social Justice, STEM Education, Bilingual Students, Multilingualism
Geoff D. Zylstra; Jill Belli; Candido Cabo; Sean P. MacDonald; Robin Michals; Anne Marie Sowder; Christopher Swift – Journal of Interdisciplinary Studies in Education, 2024
The humanities have the potential to enhance STEM curriculum in career-oriented professional degree programs. As part of a larger college-wide initiative to develop interdisciplinary curricula, the National Endowment for the Humanities (NEH) awarded a grant to New York City College of Technology to explore the relationship between the humanities…
Descriptors: Humanities, Educational Environment, STEM Education, Curriculum
Hao-Yue Jin; Maria Cutumisu – Education and Information Technologies, 2024
Computational thinking (CT) is considered to be a critical problem-solving toolkit in the development of every student in the digital twenty-first century. Thus, it is believed that the integration of deeper learning in CT education is an approach to help students transfer their CT skills beyond the classroom. Few literature reviews have mapped…
Descriptors: Computation, Thinking Skills, Problem Solving, Artificial Intelligence
Gabriella Colajanni; Alessandro Gobbi; Marinella Picchi; Alice Raffaele; Eugenia Taranto – INFORMS Transactions on Education, 2023
We introduce "Ricerca Operativa Applicazioni Reali" (ROAR; in English, "Real Applications of Operations Research"), a three-year project for higher secondary schools. Its main aim is to improve students' interest, motivation, and skills related to Science, Technology, Engineering, and Mathematics disciplines by integrating…
Descriptors: Operations Research, High School Students, Grade 10, Foreign Countries
Priemer, Burkhard; Eilerts, Katja; Filler, Andreas; Pinkwart, Niels; Rösken-Winter, Bettina; Tiemann, Rüdiger; Zu Belzen, Annette Upmeier – Research in Science & Technological Education, 2020
Background: Recent developments in STEM and computer science education put a strong emphasis on twenty-first-century skills, such as solving authentic problems. These skills typically transcend single disciplines. Thus, problem-solving must be seen as a multidisciplinary challenge, and the corresponding practices and processes need to be described…
Descriptors: Problem Solving, STEM Education, Computer Science Education, Inquiry
Bush, Eliot C.; Adolph, Stephen C.; Donaldson-Matasci, Matina C.; Hur, Jae; Schulz, Danae – Journal of College Science Teaching, 2021
This paper describes an introductory biology course for undergraduates that heavily incorporates quantitative problem solving in activities and homework assignments. The course is broken up into a series of units, each organized around a motivating biological question or theme. Homework assignments address the theme or question, and typically…
Descriptors: Biology, Science Instruction, Teaching Methods, Problem Solving
Amanda M. Meek – ProQuest LLC, 2023
Despite high scores and abilities, girls lose interest in science and math throughout middle school. According to the Bureau of Labor Statistics, jobs in the computer science research field will grow 19% by 2026; however, only 18% of the bachelor's degrees in computer science are earned by women in the United States (ComputerScience.org, 2021).…
Descriptors: Problem Solving, Creativity, Programming, Computer Science
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
Palts, Tauno; Pedaste, Margus – Informatics in Education, 2020
Computer science concepts have an important part in other subjects and thinking computationally is being recognized as an important skill for everyone, which leads to the increasing interest in developing computational thinking (CT) as early as at the comprehensive school level. Therefore, research is needed to have a common understanding of CT…
Descriptors: Models, Skill Development, Computation, Thinking Skills
Mecca, Giansalvatore; Santoro, Donatello; Sileno, Nazzareno; Veltri, Enzo – International Journal of Educational Technology in Higher Education, 2021
Computational thinking is the capacity of undertaking a problem-solving process in various disciplines (including STEM, i.e. science, technology, engineering and mathematics) using distinctive techniques that are typical of computer science. It is nowadays considered a fundamental skill for students and citizens, that has the potential to affect…
Descriptors: Mental Computation, Thinking Skills, Coding, Programming