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Michelle Pauley Murphy; Woei Hung – TechTrends: Linking Research and Practice to Improve Learning, 2024
Constructing a consensus problem space from extensive qualitative data for an ill-structured real-life problem and expressing the result to a broader audience is challenging. To effectively communicate a complex problem space, visualization of that problem space must elucidate inter-causal relationships among the problem variables. In this…
Descriptors: Information Retrieval, Data Analysis, Pattern Recognition, Artificial Intelligence
Caeli, Elisa Nadire; Yadav, Aman – TechTrends: Linking Research and Practice to Improve Learning, 2020
In the recent years, there has been a push to engage primary and secondary students in computer science to prepare them to live and work in a world influenced by computation. One of the efforts involves getting primary and secondary students to think computationally by introducing computational ideas such as, algorithms and abstraction. Majority…
Descriptors: Thinking Skills, Elementary School Students, Secondary School Students, Problem Solving
Lee, Victor R.; Recker, Mimi – TechTrends: Linking Research and Practice to Improve Learning, 2018
In this paper, we propose that paper circuitry provides a productive space for exploring aspects of computational thinking, an increasingly critical 21st century skills for all students. We argue that the creation and operation of paper circuits involve learning about computational concepts such as rule-based constraints, operations, and defined…
Descriptors: Computation, Electronics, Paper (Material), Instructional Materials
Hsu, Yu-Chang; Baldwin, Sally; Ching, Yu-Hui – TechTrends: Linking Research and Practice to Improve Learning, 2017
In this paper, we provide an overview of the current efforts in maker education, supported by a review of empirical studies. Our synthesis will inform the community about learning outcomes, potential and common issues, challenges, resources, and future research direction regarding maker education.
Descriptors: Programming, Coding, Teaching Methods, Literature Reviews