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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
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
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