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Showing 1 to 15 of 22 results Save | Export
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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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Timothy H. Lehmann – Educational Studies in Mathematics, 2024
Developing students' competence in algorithmic thinking is emerging as an objective of mathematics education, but despite its inclusion in mathematics curricula around the world, research into students' algorithmic thinking seems to be falling behind in this curriculum reform. The aim of this study was to investigate how the mathematical modelling…
Descriptors: Mathematical Models, Algorithms, Thinking Skills, Mathematics Instruction
Jessa Henderson – ProQuest LLC, 2024
Algorithms may be better at prediction than humans in a variety of contexts, but they are not perfect. A deeper understanding of the ways in which educators use and question algorithmic advice within their professional domain is needed. Educators are a particularly unique professional group, in comparison with the other groups studied in the…
Descriptors: Algorithms, Literacy, High School Teachers, Science Teachers
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Chenglu Li; Wanli Xing; Walter Leite – Interactive Learning Environments, 2024
As instruction shifts away from traditional approaches, online learning has grown in popularity in K-12 and higher education. Artificial intelligence (AI) and learning analytics methods such as machine learning have been used by educational scholars to support online learners on a large scale. However, the fairness of AI prediction in educational…
Descriptors: Artificial Intelligence, Prediction, Mathematics Achievement, Algorithms
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Timothy H. Lehmann – Mathematics Education Research Journal, 2024
The aim of this study is to examine how algorithmatizing tasks engage mathematics students in algorithmic thinking. Structured, task-based interviews were conducted with eight Year 12 students as they completed a sequence of algorithmatizing tasks involving maximum flow problems. A deductive-inductive analytical process was used to first classify…
Descriptors: Secondary School Mathematics, Secondary School Students, Grade 12, Mathematics Instruction
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Monika Mladenovic; Lucija Medak; Divna Krpan – ACM Transactions on Computing Education, 2025
Computer Science (CS) Unplugged activities are designed to engage students with CS concepts. It is an active learning approach combining physical interaction with visual representation. This research article investigates the impact of CS Unplugged on students' understanding of the bubble sort algorithm. Algorithm visualization, traditionally…
Descriptors: Computer Science Education, Learning Activities, Active Learning, Algorithms
Joseph Crifo – ProQuest LLC, 2024
The present study was conducted to determine how implementing computational thinking (via a proxy in AP Computer Science Principles) into a school's curriculum impacted student proficiency rates on the New York State Geometry Regents. Recent research has suggested that computational thinking is a skill that transcends specific content areas and…
Descriptors: Standardized Tests, Geometry, High School Students, Mathematics Instruction
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Jacqueline Nijenhuis-Voogt; Durdane Bayram; Paulien C. Meijer; Erik Barendsen – International Journal of Computer Science Education in Schools, 2024
A context-based approach to education aims to improve students' meaningful learning and uses authentic situations in which scientific concepts are applied. The use of contexts may contribute to the learning of abstract concepts such as algorithms. The selection of appropriate contexts, however, is challenging for teachers. It is therefore…
Descriptors: Secondary Education, Computer Science Education, Secondary School Science, Algorithms
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Line Have Musaeus; Deborah Tatar; Peter Musaeus – Journal of Biological Education, 2024
Computational modelling is widely used in biological science. Therefore, biology students need to learn computational modelling. However, there is a lack of evidence about how to teach computational modelling in biology and what the effects are on student learning. The purpose of this intervention-control study was to investigate how knowledge in…
Descriptors: Computation, Models, High School Students, Biology
Karen E. B. Elliott – ProQuest LLC, 2024
When the purpose and meaning of grades is not well-defined by an organization, there is a disconnect between curricular/assessment practices and student engagement. This study sought to investigate origins and find solutions in regards to discerning a student's knowledge and mastery of a subject and how this is reflected in the grade, and how…
Descriptors: Curriculum Based Assessment, Grading, Disclosure, Grades (Scholastic)
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Gabriella Colajanni; Alessandro Gobbi; Marinella Picchi; Alice Raffaele; Eugenia Taranto – INFORMS Transactions on Education, 2024
In this paper, we continue describing the project and the experimentation of "Ricerca Operativa Applicazioni Reali" (ROAR; in English, Real Applications of Operations Research), a three-year project for higher secondary schools, introduced. ROAR is composed of three teaching units, addressed to Grades 10, 11, and 12, respectively, having…
Descriptors: Foreign Countries, Grade 11, Operations Research, High School Students
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Hyun-Bin Hwang – Language Learning, 2025
This study explored the effects of practice schedule on the processing of new second language (L2) vocabulary and resulting knowledge. Participants were 107 low-achieving adolescents attending a vocational high school in Korea. They were randomly assigned to one of three practice groups and completed a L2 English-L1 Korean paired-associates…
Descriptors: Low Achievement, Adolescents, Second Language Learning, Vocabulary Development
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Tiera Chante Tanksley – English Teaching: Practice and Critique, 2024
Purpose: This paper aims to center the experiences of three cohorts (n = 40) of Black high school students who participated in a critical race technology course that exposed anti-blackness as the organizing logic and default setting of digital and artificially intelligent technology. This paper centers the voices, experiences and technological…
Descriptors: African American Students, Artificial Intelligence, Algorithms, Racism
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Haipeng Wan; Xue Zhang; Xinxue Yang; Shan Li – Education and Information Technologies, 2024
This study investigated the impact of problematization-oriented scaffolding and structuring-oriented scaffolding, incorporated within instructional videos, on students' computational thinking and their performance in programming education. We recruited 86 participants from three senior classes at a high school. Each of the three classes was…
Descriptors: Scaffolding (Teaching Technique), Instructional Design, Thinking Skills, Computer Science Education
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Athanasios Christopoulos; Stylianos Mystakidis; Justyna Kurczaba; Mikko-Jussi Laakso; Chrysostomos Stylios – International Journal of Science and Mathematics Education, 2024
Previous studies have found positive effects of Game-Based Learning for mathematics. While most studies assume that this effect is explained by the presence of flow/immersion during games, this has not yet been established. The aim of the current study is to verify if immersion indeed is associated with mathematical skills improvement when using a…
Descriptors: Computer Simulation, Educational Games, Mathematics Skills, Mathematics Achievement
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