Nonexistence of Chaotic Solutions of Nonlinear Differential Equations

We discuss some important issues arising from computational efforts in dynamical systems and fluid dynamics. Various individuals have misunderstood these issues since the onset of these problem areas; indeed, they have been routinely misinterpreted, and even viewed as "laws" by some. This paper hopes to stimulate appropriate corrections and to realign thinking, with the overall goal being sound future progress in dynamical systems and fluid dynamics.Comment: 12 page

Improving the Computational Thinking Pedagogical Capabilities of School Teachers

The idea of computational thinking as skills and universal competence which every child should possess emerged last decade and has been gaining traction ever since. This raises a number of questions, including how to integrate computational thinking into the curriculum, whether teachers have computational thinking pedagogical capabilities to teach children, and the important professional development and training areas for teachers. The aim of this paper is to address the strategic issues by illustrating a series of computational thinking workshops for Foundation to Year 8 teachers held at an Australian university. Data indicated that teachers\u27 computational thinking understanding, pedagogical capabilities, technological know-how and confidence can be improved in a relatively short period of time through targeted professional learning

Simplifying the Puzzle: How Computational Thinking and Abstraction Can Help Teachers Conquer Classroom Complexity

The investigation examines the utilization of abstraction and computational thinking by educators to effectively navigate the complexities encountered in the educational setting. It underscores the significance of these cognitive capacities in the examination and determination of intricate issues. To facilitate students in problem-solving and decision-making, educators can utilize computational thinking to break down challenging issues into more manageable components. Two capacities that educators can utilize to apply their knowledge in various circumstances are the identification of patterns and the extrapolation of abstract notions. This research study demonstrated the utility of abstraction and computational thinking in equipping educators with the necessary tools to address classroom issues, which is particularly valuable for curricula focused on training future educators. The study not only identifies potential challenges but also offers recommendations for overcoming the difficulties that teachers may encounter when implementing these ideas in the classroom. By employing these tactics and recommended solutions, educators can help students improve their analytical, problem-solving, and critical thinking abilities, thus preparing them for the challenges of the digital era

Framing Computational Thinking for Computational Literacies in K-12 Education

The last decade has seen an increased interest in promoting computing education for all, focused on the idea of “computational thinking.” Currently, three framings for promoting computational thinking in K-12 education have been proposed, emphasizing either (1) skill and competency building, (2) creative expression and participation, or (3) social justice and reflection. While each of these emphases is valuable and needed, their narrow focus can obscure important issues and miss critical transformational opportunities for empowering students as competent, creative, and critical agents. We argue that these computational framings should be seen as literacies, thereby historicizing and situating computer science with respect to broader educational concerns and providing new directions for how schools can help students to actively participate in designing their digital futures

Computational thinking in curriculum for higher education

Computational Thinking continues to gain popularity and traction within conversations about curriculum development for the 21st century, but little exists in the literature to guide the inclusion of Computational Thinking into curriculum outside of K12. This Delphi study seeks to fill part of the gap in the literature and instantiate conversation in the Higher Education community about the importance of CT as a topic, and how it may be approached formally in curriculum development. Over 3 rounds of Delphi panel deliberation, several interesting and informative themes emerged related to issues of domain expertise, interdisciplinary collaboration, and ensurance of quality and integrity of computational knowledge, attitudes and practices through curricular initiatives. Additionally, potential solutions and vehicles for delivering strong outcomes are identified and discussed, through the lens of Landscapes of Practice (Wenger, 2014)

Rethinking Computational Thinking for Public Libraries' Youth Programs: Challenges and Recommendations

Computational thinking has become a popular and important concept in education throughout the nation. Public libraries, with their technology services and their role as an informal learning space, have been tagged as an ideal place for computational thinking learning for children. However, the literature and research surrounding computational thinking is often vague and even misleading, presenting differing visions of what computational thinking is, what it should look like in practice, and how it might be evaluated for effectiveness. As a result, youth services librarians face many challenges in their attempts to understand, design, and evaluate computational thinking programs for their libraries. This paper explores the issues inherent in current computational thinking research and discusses the challenges they represent in designing and facilitating youth computational thinking programs in public libraries, as well as presents recommendations for best practices

Current trends in robotics in education and computational thinking

Computational thinking-related issues have had a specific track on TEEM Conference since 2016. This is the sixth edition of this track within the 2021 TEEM Conference edition. This year the papers are centered on programming and robotics, but the artificial intelligence topics increase their presence in the track.info:eu-repo/semantics/publishedVersio