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Nichole Orench-Rivera; April Bednarski; Paul Craig; Austin Talbot – Journal of College Science Teaching, 2025
Advancements in computation and machine learning have revolutionized science, enabling researchers to address once insurmountable challenges. Bioinformatics, a field that heavily relies on computer-driven analysis of biological data, has greatly benefited from these developments. However, traditional bioinformatics instruction frequently lacks the…
Descriptors: Coding, Computer Science Education, Integrated Curriculum, Programming
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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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Zinagul Suranchiyeva; Bektas Bostanov; Serik Kenesbayev; Salamat Idrissov; Kuralay Turganbay – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: This study seeks to present a learning model of discrete mathematics elements, elucidate the content of teaching, and validate the effectiveness of this learning in a digital education context. Background: Teaching discrete mathematics in the realm of digital education poses challenges, particularly in crafting the optimal model,…
Descriptors: Electronic Learning, Elective Courses, Mathematics Instruction, Computer Science Education
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Vieyra, Rebecca; Himmelsbach, Joshua – Journal of Science Education and Technology, 2022
This study explored teachers' conceptualizations of integrated computational modeling in secondary physics by exposing twelve experienced physics teachers to programming and then analyzing interview responses. Responses revealed that teachers fell along a spectrum of disciplinary boundary-stretching mentalities. This paper presents a preliminary…
Descriptors: Science Teachers, Physics, Teaching Methods, Computation
John F. Hutton – ProQuest LLC, 2022
All engineering careers require some level of programming proficiency. However, beginning programming classes are challenging for many students. Difficulties have been well-documented and contribute to high drop-out rates which prevent students from pursuing engineering. While many approaches have been tried to improve the performance of students…
Descriptors: Skill Development, Engineering Education, Epistemology, Delphi Technique
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Whitney, Michael; Lipford, Heather Richter; Chu, Bill; Thomas, Tyler – Journal of Educational Computing Research, 2018
Many of the software security vulnerabilities that people face today can be remediated through secure coding practices. A critical step toward the practice of secure coding is ensuring that our computing students are educated on these practices. We argue that secure coding education needs to be included across a computing curriculum. We are…
Descriptors: Computer Security, Programming, Coding, Computer Science Education
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Neutens, Tom; Barbion, Evelien; Coolsaet, Kris; wyffels, Francis – Journal of Computer Assisted Learning, 2021
In the last few years, programming, computational thinking, and robotics are more frequently integrated into elementary education. This integration can be done in many different ways. However, it is still unclear which teaching methods work in which situations. To provide some clarity in this area, we compared two methods of integrating…
Descriptors: Programming, Computer Science Education, Robotics, Thinking Skills
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Rich, Kathryn M.; Spaepen, Elizabet; Strickland, Carla; Moran, Cheryl – Interactive Learning Environments, 2020
A key debate in computer science education is whether and how computational thinking (CT) is used within disciplines other than computer science. Broad definitions provide many avenues for developing integrated instruction, as practices within existing activities can simply be reframed in terms of CT. But such general use of the term CT may…
Descriptors: Computer Science Education, Mathematics Education, Mathematics Skills, Elementary School Students
Andrea Beesley; Jared Boyce; Patrik Lundh; Carol Tate; Mindy Hsiao; Elise Levin-Guracar – SRI Education, a Division of SRI International, 2022
This memo includes results of data collection from the second cohort of Collaborative Partnership to Teach Mathematical Reasoning Through Computer Programming (CPR2) teachers from classroom implementation of CPR2 in fall 2021. Findings are included for the student pre-assessment, Student Computer Science Attitude Survey, and Learning Mathematics…
Descriptors: Middle Schools, Middle School Mathematics, Computer Science Education, Programming
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Burckhardt, Philipp; Nugent, Rebecca; Genovese, Christopher R. – Journal of Statistics and Data Science Education, 2021
Revisiting the seminal 2010 Nolan and Temple Lang article on the role of computing in the statistics curricula, we discuss several trends that have emerged over the last ten years. The rise of data science has coincided with a broadening audience for learning statistics and using computational packages and tools. It has also increased the need for…
Descriptors: Statistics Education, Teaching Methods, Web Based Instruction, Data Analysis
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Vieira, Camilo; Magana, Alejandra J.; García, R. Edwin; Jana, Aniruddha; Krafcik, Matthew – Journal of Science Education and Technology, 2018
Computational tools and methods have permeated multiple science and engineering disciplines, because they enable scientists and engineers to process large amounts of data, represent abstract phenomena, and to model and simulate complex concepts. In order to prepare future engineers with the ability to use computational tools in the context of…
Descriptors: Thermodynamics, Integrated Curriculum, Computation, Learning Modules
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Silcock, Sandra; Mackenzie, Helen – set: Research Information for Teachers, 2018
We are co-teachers at Rototuna Junior High School with expertise in music and digital technologies respectively. We share our experiences of using digital-game development as the context for our integrated learning module called Sound Bytes. We hope to inspire other teachers to develop their own innovative and integrated curriculum design and…
Descriptors: Junior High School Teachers, Junior High School Students, Music Education, Educational Games
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Biddy, Quentin; Chakarov, Alexandra Gendreau; Bush, Jeffrey; Elliott, Colin Hennessy; Jacobs, Jennifer; Recker, Mimi; Sumner, Tamara; Penuel, William – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2021
This article describes a professional development (PD) model, the CT-Integration Cycle, that supports teachers in learning to integrate computational thinking (CT) and computer science principles into their middle school science and STEM instruction. The PD model outlined here includes collaborative design (codesign; Voogt et al., 2015) of…
Descriptors: Professional Development, Teacher Workshops, Summer Programs, Teacher Collaboration
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Kuan, Wen-Hsuan; Tseng, Chi-Hung; Chen, Sufen; Wong, Ching-Chang – Journal of Science Education and Technology, 2016
We propose an integrated curriculum to establish essential abilities of computer programming for the freshmen of a physics department. The implementation of the graphical-based interfaces from Scratch to LabVIEW then to LabVIEW for Arduino in the curriculum "Computer-Assisted Instrumentation in the Design of Physics Laboratories" brings…
Descriptors: Science Instruction, Physics, Programming, Computer Science Education
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Magerko, Brian; Freeman, Jason; McKlin, Tom; Reilly, Mike; Livingston, Elise; McCoid, Scott; Crews-Brown, Andrea – ACM Transactions on Computing Education, 2016
This article presents EarSketch, a learning environment that combines computer programming with sample-based music production to create a computational remixing environment for learning introductory computing concepts. EarSketch has been employed in both formal and informal settings, yielding significant positive results in student content…
Descriptors: Art Education, STEM Education, Computer Science Education, Disproportionate Representation