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National Assessment of…1
Showing 1 to 15 of 25 results Save | Export
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Hamid Sanei; Jennifer B. Kahn; Rabia Yalcinkaya; Shiyan Jiang; Changzhao Wang – Journal of Science Education and Technology, 2024
Data and computational literacies empower youth to be active participants and future leaders in our increasingly data-driven society. We conducted a design-based research project in which a small group (n = 5) of high school youth from diverse backgrounds learned how to code and create data visualizations and stories with public data about climate…
Descriptors: Coding, Data Use, Science and Society, Story Telling
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Lee, Silvia Wen-Yu; Tu, Hsing-Ying; Chen, Guang-Lin; Lin, Hung-Ming – International Journal of STEM Education, 2023
Background: There exist shared competencies between computational thinking (CT) and mathematics, and these two domains also mutually benefit from various teaching approaches. However, the linkages between mathematics and computational thinking lack robust empirical support, particularly from student-centered learning perspectives. Our study aimed…
Descriptors: Grade 8, Middle School Students, High School Students, Mathematics Education
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Chattopadhyay, Tanay – Science Activities: Projects and Curriculum Ideas in STEM Classrooms, 2022
In this article, simple models of optical computing circuits (1 x 4 demultiplexer (DEMUX), 4 x 1 multiplexer (MUX), Boolean logic, and half-adder (HA)) are shown with mechanically controlled plane mirrors. Photographs of the proposed computational circuits are also shown. It is very useful for the school student to understand optical logic and…
Descriptors: Science Instruction, Optics, Computation, Science Activities
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Kite, Vance; Park, Soonhye – Journal of Science Teacher Education, 2023
Recognizing that the power of computation has changed the practice of science, science education standards in a number of countries have included a call for the inclusion of computational thinking (CT) in K-12 science education. As CT is a relatively new construct, preparing inservice science teachers to implement CT-infused learning experiences…
Descriptors: Computation, Thinking Skills, Science Teachers, Teacher Attitudes
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Yin, Yue; Khaleghi, Soroush; Hadad, Roxana; Zhai, Xiaoming – Educational Technology Research and Development, 2022
Computational thinking (CT) skills are critical for the science, technology, engineering, and mathematics (STEM) fields, thus drawing increasing attention in STEM education. More curricula and assessments, however, are needed to cultivate and measure CT for different learning goals. Maker activities have the potential to improve student CT, but…
Descriptors: Thinking Skills, Computation, Learning Activities, Computer Software
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Peters-Burton, Erin; Rich, Peter Jacob; Kitsantas, Anastasia; Laclede, Laura; Stehle, Stephanie M. – Journal of Science Teacher Education, 2022
In an effort to deepen learning in K-12 science classrooms, there has been a national movement to integrate computational thinking (CT). The purpose of this phenomenographic study was to understand teachers' perceptions of the function and usefulness of a task analysis and a decision tree tool designed to help them with integration. Teachers…
Descriptors: High School Teachers, Science Teachers, Planning, Computation
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Kiliç, Servet; Çakiroglu, Ünal – Technology, Knowledge and Learning, 2023
Since teaching robotics in schools is still new for teachers, studies on how to integrate computational thinking concepts in robotics courses are still rare. In this direction, teacher training sessions for teaching robotics should be visited. Accordingly, in this exploratory case study, a professional development program for teachers was…
Descriptors: Program Development, Program Implementation, Program Evaluation, Faculty Development
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Kert, Serhat Bahadir; Yeni, Sabiha; Fatih Erkoç, Mehmet – Instructional Science: An International Journal of the Learning Sciences, 2022
Computational thinking (CT) and computer science (CS) are becoming more widely adopted in K-12 education. However, there is a lack of focus on CT and CS access for children with disabilities. This study investigates the effect of the robot development process at the secondary school level on the algorithmic thinking and mental rotation skills of…
Descriptors: Thinking Skills, Problem Solving, Computation, Students with Disabilities
Angela Roccograndi; Michelle Hodara – Education Northwest, 2024
Louisiana State University (LSU) received an Education Innovation and Research (EIR) grant to implement its Introduction to Computational Thinking (ICT) course from fall 2019 through spring 2023. ICT is a yearlong course that builds skills in problem solving, programming, and mathematics (algebra and geometry) and is intended to improve…
Descriptors: Mental Computation, Curriculum Development, Introductory Courses, Mathematics Education
Oregon Department of Education, 2021
High School graduation rates are key indicators of accountability for high schools and school districts in Oregon. Beginning with the 2008-09 school year, the Oregon Department of Education (ODE) implemented the cohort method of calculating graduation rates. The cohort method identifies the year the student entered high school for the first time…
Descriptors: Graduation Rate, High School Graduates, Cohort Analysis, Accountability
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Hamerski, Paul C.; McPadden, Daryl; Caballero, Marcos D.; Irving, Paul W. – Physical Review Physics Education Research, 2022
High school science classrooms across the United States are answering calls to make computation a part of science learning. The problem is that there is little known about the barriers to learning that computation might bring to a science classroom or about how to help students overcome these challenges. This case study explores these challenges…
Descriptors: High School Students, Student Attitudes, Secondary School Science, Science Instruction
Oregon Department of Education, 2020
High School graduation rates are key indicators of accountability for high schools and school districts in Oregon. Beginning with the 2008-09 school year, the Oregon Department of Education (ODE) implemented the cohort method of calculating graduation rates. The cohort method identifies the year the student entered high school for the first time…
Descriptors: Graduation Rate, High School Students, Cohort Analysis, Accountability
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Jiangyue Liu; Jing Ma; Siran Li – Education and Information Technologies, 2025
This study developed a school-based AI curriculum suitable for senior high school students, with the primary objective of enhancing their mastery of knowledge and proficiency in AI, as well as their computational thinking abilities. The curriculum was designed with an awareness of the practical challenges encountered by the subject school in their…
Descriptors: Artificial Intelligence, Technology Uses in Education, Curriculum Design, Computation
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Fergusson, Anna; Pfannkuch, Maxine – Statistics Education Research Journal, 2022
Tasks for teaching predictive modelling and APIs often require learners to use code-driven tools. Minimal research, however, exists about the design of tasks that support the introduction of high school students and teachers to these new statistical and computational methods. Using a design-based research approach, a web-based task was developed.…
Descriptors: High School Teachers, Statistics Education, Prediction, Mathematical Models
Oregon Department of Education, 2017
High School graduation rates are key indicators of accountability for high schools and school districts in Oregon. Beginning with the 2008-09 school year, the Oregon Department of Education (ODE) implemented the cohort method of calculating graduation rates. The cohort method identifies the year the student entered high school for the first time…
Descriptors: Graduation Rate, High School Students, Cohort Analysis, Longitudinal Studies
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