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Peel, Amanda; Sadler, Troy D.; Friedrichsen, Patricia – Journal of Science Education and Technology, 2022
Computing has become essential in modern-day problem-solving, making computational literacy necessary for practicing scientists and engineers. However, K-12 science education has not reflected this computational shift. Integrating computational thinking (CT) into core science courses is an avenue that can build computational literacies in all…
Descriptors: Computation, Thinking Skills, Problem Solving, Science Education
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Denning, Peter J.; Tedre, Matti – Informatics in Education, 2021
Over its short disciplinary history, computing has seen a stunning number of descriptions of the field's characteristic ways of thinking and practicing, under a large number of different labels. One of the more recent variants, notably in the context of K-12 education, is "computational thinking", which became popular in the early 2000s,…
Descriptors: Thinking Skills, Computation, Computer Science, Mathematics
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Csapó, Gábor; Sebestyén, Katalin; Csernoch, Mária; Abari, Kálmán – Education and Information Technologies, 2021
In Hungary, K-12 informatics/computer science education focuses on mostly surface-based methods. This approach can be observed in the teaching of several topics in the subject, of which we focus on spreadsheet management. This is further emphasized by regulatory documents -- the Hungarian National Core Curriculum and Hungarian Curriculum…
Descriptors: Foreign Countries, Elementary Secondary Education, Computer Science Education, Information Science
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Yadav, Aman; Hong, Hai; Stephenson, Chris – TechTrends: Linking Research and Practice to Improve Learning, 2016
The recent focus on computational thinking as a key 21st century skill for all students has led to a number of curriculum initiatives to embed it in K-12 classrooms. In this paper, we discuss the key computational thinking constructs, including algorithms, abstraction, and automation. We further discuss how these ideas are related to current…
Descriptors: Thinking Skills, Elementary Secondary Education, Technological Literacy, Educational Technology
Baird, Matthew D.; Hunter, Gerald P.; Edenfield, Nathaniel; Broten, Nicholas; Gonzalez, Gabriella C. – RAND Corporation, 2020
The authors of this report aim to understand the health of the science, technology, engineering, and mathematics (STEM) education and labor market in the Appalachia region -- defined as the intersection of Ohio, Pennsylvania, and West Virginia -- with a focus on the mining and extraction industry. This report is the third in a three-part series.…
Descriptors: Natural Resources, Fuels, Industry, Wages
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Moreno-León, Jesús; Robles, Gregorio; Román-González, Marcos – Journal of Information Technology Education: Research, 2016
The introduction of computer programming in K-12 has become mainstream in the last years, as countries around the world are making coding part of their curriculum. Nevertheless, there is a lack of empirical studies that investigate how learning to program at an early age affects other school subjects. In this regard, this paper compares three…
Descriptors: Foreign Countries, Programming, Computer Science Education, Introductory Courses
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Armoni, Michal – Journal of Computers in Mathematics and Science Teaching, 2013
Abstraction is a key concept in CS, one of the most fundamental ideas underlying CS and its practice. However, teaching this soft concept to novices is a very difficult task, as discussed by many CSE experts. This paper discusses this issue, and suggests a general framework for teaching abstraction in CS to novices, a framework that would fit into…
Descriptors: Introductory Courses, Computer Science, Novices, Expertise
Gonzalez, Gabriella C.; Siler-Evans, Kyle; Hunter, Gerald Paul; Broten, Nicholas – RAND Corporation, 2017
This second of five annual reports focuses on employment and wages in energy and advanced manufacturing-related industries and on science, technology, engineering, and mathematics (STEM) education indicators in the Appalachia Partnership Initiative (API) region, comprising twenty-seven counties in Ohio, Pennsylvania, and West Virginia. Together,…
Descriptors: Natural Resources, Fuels, Industry, Wages
Gonzalez, Gabriella C.; Siler-Evans, Kyle; Hunter, Gerald Paul; Baird, Matthew D. – RAND Corporation, 2016
This first of five annual reports focuses on employment and wages in energy and advanced manufacturing--related industries and on science, technology, engineering, and mathematics (STEM) education indicators in the Appalachia Partnership Initiative (API) region. Together, these reports will capture trends over the next four years to (1) inform the…
Descriptors: Natural Resources, Fuels, Industry, Wages
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Muller, Orna; Haberman, Bruria – Computer Science Education, 2008
Abstraction is a major concept in computer science and serves as a powerful tool in software development. Pattern-oriented instruction (POI) is a pedagogical approach that incorporates patterns in an introductory computer science course in order to structure the learning of algorithmic problem solving. This paper examines abstraction processes in…
Descriptors: Computer Science Education, Problem Solving, Computer Software, Pattern Recognition
Carnevale, Anthony P.; Smith, Nicole; Melton, Michelle – Georgetown University Center on Education and the Workforce, 2011
The science, technology, engineering, and mathematics (STEM) state-level analysis provides policymakers, educators, state government officials, and others with details on the projections of STEM jobs through 2018. This report delivers a state-by-state snapshot of the demand for STEM jobs, including: (1) The number of forecast net new and…
Descriptors: Demand Occupations, Technical Occupations, Mathematics, Professional Occupations
Hill, Catherine; Corbett, Christianne; St. Rose, Andresse – American Association of University Women, 2010
The number of women in science and engineering is growing, yet men continue to outnumber women, especially at the upper levels of these professions. In elementary, middle, and high school, girls and boys take math and science courses in roughly equal numbers, and about as many girls as boys leave high school prepared to pursue science and…
Descriptors: Women Scientists, Technology, Engineering, Mathematics
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Kiesmuller, Ulrich – ACM Transactions on Computing Education, 2009
At schools special learning and programming environments are often used in the field of algorithms. Particularly with regard to computer science lessons in secondary education, they are supposed to help novices to learn the basics of programming. In several parts of Germany (e.g., Bavaria) these fundamentals are taught as early as in the seventh…
Descriptors: Foreign Countries, Feedback (Response), Secondary School Students, Research Methodology
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers