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Showing all 14 results Save | Export
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Higgins, Traci; Mokros, Jan; Rubin, Andee; Sagrans, Jacob – Teaching Statistics: An International Journal for Teachers, 2023
In the context of an afterschool program in which students explore relatively large authentic datasets, we investigated how 11- to 14-year old students worked with categorical variables. During the program, students learned to use the Common Online Data Analysis Platform (CODAP), a statistical analysis platform specifically designed for middle and…
Descriptors: Classification, After School Programs, Data Analysis, Middle School Students
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Kevin Larkin; Ilyse Resnick; Thomas Lowrie – Mathematical Thinking and Learning: An International Journal, 2024
Patterns are a fundamental component of mathematics, and the patterning ability of young children has been well researched; however, this research has largely been conducted with relatively small cohorts (±70) and in an interventionist way (in laboratory settings or with researchers directly intervening in educational contexts). The current study…
Descriptors: Foreign Countries, Preschool Children, Pattern Recognition, Mathematics Education
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Eckert, Andreas; Nilsson, Per – Digital Experiences in Mathematics Education, 2022
The purpose of this study is to further our understanding of orchestrating math-talk with digital technology. The technology used is common in Swedish mathematics classrooms and involves personal computers, a projector directed towards a whiteboard at the front of the class and software programs for facilitating communication and collective…
Descriptors: Inferences, Thinking Skills, Pattern Recognition, Generalization
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Meka N. McCammon; Katie Wolfe; Ruiqin Gao; Angela Starrett – Remedial and Special Education, 2025
Data-based decision-making, which involves evaluating students' progress and making instructional decisions, is an integral competency for preservice teachers. Several studies have found that visual aids, such as decision-making models, may be an effective way to train preservice teachers to make instructional decisions. The purpose of this study…
Descriptors: Data Use, Decision Making, Preservice Teacher Education, Teacher Competencies
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Švábenský, Valdemar; Vykopal, Jan; Celeda, Pavel; Tkácik, Kristián; Popovic, Daniel – Education and Information Technologies, 2022
Hands-on cybersecurity training allows students and professionals to practice various tools and improve their technical skills. The training occurs in an interactive learning environment that enables completing sophisticated tasks in full-fledged operating systems, networks, and applications. During the training, the learning environment allows…
Descriptors: Computer Security, Information Security, Training, Data Collection
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Johnson, Clare; Davies, Ross – Journal of Academic Ethics, 2020
Contract cheating is a major problem in Higher Education because it is very difficult to detect using traditional plagiarism detection tools. Digital forensics techniques are already used in law to determine ownership of documents, and also in criminal cases, where it is not uncommon to hide information and images within an ordinary looking…
Descriptors: Crime, Technology Uses in Education, Cheating, Educational Technology
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Wares, Arsalan; Custer, David – Mathematics Teacher: Learning and Teaching PK-12, 2023
Generalizing, conjecturing, representing, justifying, and refuting are integral parts of algebraic thinking and mathematical thinking in general (Lannin et al., 2011). The activity described in this article makes a case for generalizing as an overall mindset for any introductory algebra or geometry class by illustrating how generalization problems…
Descriptors: Mathematical Logic, Geometry, Algebra, Spatial Ability
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Wang, Lan-Ting; Lee, Kun-Chou – Turkish Online Journal of Educational Technology - TOJET, 2014
The vision plays an important role in educational technologies because it can produce and communicate quite important functions in teaching and learning. In this paper, learners' preference for the visual complexity on small screens of mobile computers is studied by neural networks. The visual complexity in this study is divided into five…
Descriptors: Preferences, Educational Technology, Visual Acuity, Visual Literacy
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Tanes, Zeynep; Arnold, Kimberly E.; King, Abigail Selzer; Remnet, Mary Ann – Computers & Education, 2011
Feedback is a crucial form of information for learners. With the availability of new educational technologies, the manner in which feedback is delivered has changed tremendously. Existing research on the learning outcomes of the content and nature of computer mediated feedback is limited and contradictory. "Signals" is an educational data-mining…
Descriptors: Feedback (Response), Curriculum Development, Educational Technology, Content Analysis
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Su, Hui Fang Huang; Marinas, Carol; Furner, Joseph – International Journal for Technology in Mathematics Education, 2011
This article highlights investigating intriguing number patterns utilising an emerging technology called the Square Tool. Mathematics teachers of grades K-12 will find the Square Tool useful in making connections and bridging the gap from the concrete to the abstract. Pattern recognition helps students discover various mathematical concepts. With…
Descriptors: Elementary Secondary Education, Pattern Recognition, Mathematics Instruction, Number Concepts
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Aktas, Mine; Bulut, Mehmet; Yuksel, Tugba – Turkish Online Journal of Educational Technology - TOJET, 2011
In this study it is investigated that teaching of different pattern types by using computer animations and activities. The sample of this study was 28 eighth grade students in second semester of 2010-2011 educational years. They are at public school in Ankara. The one group pre-test post-test design was used for research methodology. Data were…
Descriptors: Academic Achievement, Achievement Tests, Data Analysis, Grade 8
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Carlson, Patricia A. – Journal of Computing in Higher Education, 1991
Artificial neural networks (ANN), part of artificial intelligence, are discussed. Such networks are fed sample cases (training sets), learn how to recognize patterns in the sample data, and use this experience in handling new cases. Two cognitive roles for ANNs (intelligent filters and spreading, associative memories) are examined. Prototypes…
Descriptors: Artificial Intelligence, Associative Learning, Computer Assisted Instruction, Computer Oriented Programs
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Bohan, James F.; Shultz, John L. – Mathematics Teacher, 1996
Presents an extension of the hog game that satisfies the mathematical process activities of observing patterns; forming, testing and proving hypotheses; and applying and extending proved results. Discusses use of technology in the investigation of problems and in the process of devising and validating general rules. (ASK)
Descriptors: Educational Technology, Mathematical Applications, Mathematics Instruction, Pattern Recognition
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Lopez, Antonio M. – Mathematics and Computer Education, 1996
Presents a methodology designed to strengthen the cognitive effects of using graphing calculators to solve polynomial equations using pattern matching, searching, and heuristics. Discusses pattern matching as a problem-solving strategy useful in the physical, social, political, and economic worlds of today's students. (DDR)
Descriptors: Algebra, Calculators, Educational Strategies, Educational Technology