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Juraj Hromkovic; Regula Lacher – Informatics in Education, 2025
The design of algorithms is one of the hardest topics of high school computer science. This is mainly due to the universality of algorithms as solution methods that guarantee the calculation of a correct solution for all potentially infinitely many instances of an algorithmic problem. The goal of this paper is to present a comprehensible and…
Descriptors: Algorithms, Computer Science Education, High School Students, Teaching Methods
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Johannes Treß – Action, Criticism, and Theory for Music Education, 2025
AI-based applications and content have become integral to our everyday lives, increasingly permeating the field of music education e.g. through algorithmically sorted listening recommendations, AI-generated lesson plans, or audio content on platforms like TikTok and YouTube. These tools rely on machine learning and deep learning, which, despite…
Descriptors: Music Education, Artificial Intelligence, Technology Uses in Education, Algorithms
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Qing Wang; Xizhen Cai – Journal of Statistics and Data Science Education, 2024
Support vector classifiers are one of the most popular linear classification techniques for binary classification. Different from some commonly seen model fitting criteria in statistics, such as the ordinary least squares criterion and the maximum likelihood method, its algorithm depends on an optimization problem under constraints, which is…
Descriptors: Active Learning, Class Activities, Classification, Artificial Intelligence
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Peter Curtis; Brett Moffett; David A. Martin – Australian Primary Mathematics Classroom, 2024
In this article, the authors explore how the 3C Model can be used to integrate other curriculum areas with mathematics, namely digital technologies. To illustrate the model, they provide a practical example of a teaching sequence. T he 3C Model is designed to create opportunities for applying reasoning and problem-solving skills and learning…
Descriptors: Models, Computer Software, Problem Solving, Mathematics Instruction
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Ritter, Frauke; Standl, Bernhard – Informatics in Education, 2023
We live in a digital age, not least accelerated by the COVID-19 pandemic. It is all the more important in our society that students learn and master the key competence of algorithmic thinking to understand the informatics concepts behind every digital phenomena and thus is able to actively shape the future. For this to be successful, concepts must…
Descriptors: Algorithms, Information Science Education, Computer Science Education, COVID-19
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Wei Yan; Priyanka Parekh; Ashish Amresh; Paige Prescott – Journal of Technology and Teacher Education, 2025
Indigenous communities remain among the most underrepresented groups in computing and STEM fields, facing systemic barriers to equitable participation in computer science (CS) education. This study examines how Indigenous-serving teachers, through a sustained professional development (PD) program, design and implement culturally responsive…
Descriptors: Culturally Relevant Education, Computer Science Education, Faculty Development, Disproportionate Representation
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Marie-Monique Schaper; Mariana Aki Tamashiro; Rachel Charlotte Smith; Ole Sejer Iversen – ACM Transactions on Computing Education, 2025
As emerging technologies are rapidly advancing as part of our societies and everyday life, it is crucial to include and empower all students in learning about computing and advanced technologies. These include technical capabilities of algorithms, such as the use of AI, that enable novel interactions between humans and their environment and give…
Descriptors: Inclusion, Artificial Intelligence, Student Empowerment, Algorithms
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Harisman, Yulyanti; Dwina, Fitrani; Tasman, Fridgo – Journal on Mathematics Education, 2022
This study aims to design case-based learning with lesson study learning trajectory with the help of teaching aids to make students understand Prim's, Cruscal's, and Djiksra's Algorithms. The validation study was selected because it is a suitable method for this research. The research subjects were 41 Mathematics Education Study Program Students…
Descriptors: Case Method (Teaching Technique), Learning Trajectories, Algorithms, Mathematics Education
Carol McDonald Connor; Henry May; Nicole Sparapani; Jin Kyoung Hwang; Ashley Adams; Taffeta S. Wood; Sarah Siegal; Cassidy Wolfe; Stephanie Day – Grantee Submission, 2022
Bringing effective, research-based literacy interventions into the classroom is challenging, especially given the cultural and linguistic diversity of today's classrooms. We examined the promise of Assessment-to-Instruction (A2i) technology redesigned to be used at scale to support teachers' implementation of the individualized student instruction…
Descriptors: Individualized Instruction, Kindergarten, Primary Education, Intervention
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Carol McDonald Connor; Henry May; Nicole Sparapani; Jin Kyoung Hwang; Ashley Adams; Taffeta S. Wood; Sarah Siegal; Cassidy Wolfe; Stephanie Day – Journal of Educational Psychology, 2022
Bringing effective, research-based literacy interventions into the classroom is challenging, especially given the cultural and linguistic diversity of today's classrooms. We examined the promise of Assessment-to-Instruction (A2i) technology redesigned to be used at scale to support teachers' implementation of the individualized student instruction…
Descriptors: Individualized Instruction, Kindergarten, Primary Education, Intervention