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Jennifer L. Chiu; James P. Bywater; Tugba Karabiyik; Alejandra Magana; Corey Schimpf; Ying Ying Seah – Journal of Science Education and Technology, 2024
Despite an increasing focus on integrating engineering design in K-12 settings, relatively few studies have investigated how to support students to engage in systematic processes to optimize the designs of their solutions. Emerging learning technologies such as computational models and simulations enable rapid feedback to learners about their…
Descriptors: Engineering, Middle School Students, High School Students, Building Design
Bondaryk, Leslie G.; Hsi, Sherry; Van Doren, Seth – IEEE Transactions on Learning Technologies, 2021
Sensor systems have the potential to make abstract science phenomena concrete for K-12 students. Internet of Things (IoT) sensor systems provide a variety of benefits for modern classrooms, creating the opportunity for global data production, orienting learners to the opportunities and drawbacks of distributed sensor and control systems, and…
Descriptors: Internet, Systems Development, Computer Uses in Education, Secondary School Science
Pangrazio, Luci; Selwyn, Neil – Pedagogy, Culture and Society, 2021
The ongoing 'datafication' of contemporary society has a number of implications for schools and schooling. One is the increasing calls for schools to help develop young people's understandings about the role that digital data now plays in their everyday lives -- especially in terms of the 'data economy' and 'surveillance capitalism'. Reporting on…
Descriptors: Data Collection, Data Analysis, Technology Uses in Education, Data Processing
Liu, Ran; Stamper, John; Davenport, Jodi – Grantee Submission, 2018
Temporal analyses are critical to understanding learning processes, yet understudied in education research. Data from different sources are often collected at different grain sizes, which are difficult to integrate. Making sense of data at many levels of analysis, including the most detailed levels, is highly time-consuming. In this paper, we…
Descriptors: Intelligent Tutoring Systems, Learning, Data Analysis, Student Development
Levy, Sharona T.; Wilensky, Uri – Computers & Education, 2011
This study lies at an intersection between advancing educational data mining methods for detecting students' knowledge-in-action and the broader question of how conceptual and mathematical forms of knowing interact in exploring complex chemical systems. More specifically, it investigates students' inquiry actions in three computer-based models of…
Descriptors: Test Content, Mathematical Models, Prior Learning, Data Processing
Omar, Ahmad Fairuz; MatJafri, Mohd Zubir – Physics Education, 2011
The Swift Turbidity Marker is an optical instrument developed to measure the level of water turbidity. The components and configuration selected for the system are based on common turbidity meter design concepts but use a simplified methodology to produce rapid turbidity measurements. This work is aimed at high school physics students and is the…
Descriptors: Optics, International Organizations, Data Analysis, Mathematical Applications
Feinberg, Dave – Computer Science Education, 2007
This paper presents a simple 4 bit computer processor design that may be built using TTL chips for less than $65. In addition to describing the processor itself in detail, we discuss our experience using the laboratory kit and its associated machine instruction set to teach computer architecture to high school students. (Contains 3 figures and 5…
Descriptors: Computer System Design, Data Processing, Learning Modules, High School Students
Lin, Fu-Ren; Hsieh, Lu-Shih; Chuang, Fu-Tai – Computers & Education, 2009
As course management systems (CMS) gain popularity in facilitating teaching. A forum is a key component to facilitate the interactions among students and teachers. Content analysis is the most popular way to study a discussion forum. But content analysis is a human labor intensity process; for example, the coding process relies heavily on manual…
Descriptors: Secondary School Science, Online Courses, Earth Science, Classification
Klein, Joseph; Weiss, Itzhak – Journal of Educational Administration, 2007
Purpose: The literature advocates educational decision-making processes that are either intuitive or systematic. While the two approaches seem to be incompatible, each has its merits. Intuitive thinking is considered to be holistic and creative, whereas the systematic approach has the advantages of a theoretical foundation and accuracy in data…
Descriptors: Decision Making, Data Processing, Teaching Methods, Thinking Skills

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