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State of the Art on the Leonardo Sequence: An Evolutionary Study of the Epistemic-Mathematical Field
Milena Carolina dos Santos Mangueira; Francisco Regis Vieira Alves; Paula Maria Machado Cruz Catarino; Elen Viviani Pereira Spreafico – Pedagogical Research, 2024
This work is a segment of an ongoing doctoral research in Brazil. The Leonardo numbers and the Leonardo sequence have gained attention from mathematicians and the academic community. Despite being a relatively new sequence within mathematical literature, its discussion has intensified over the past five years, giving rise to other branches, with…
Descriptors: Mathematics Instruction, Teaching Methods, Doctoral Students, Mathematics
Miriam Gates; Lillie Albert – Journal of Mathematics Education at Teachers College, 2024
Mathematical "magic," or experiences of beauty and creativity for K-12 mathematics students, can contribute to deepened content understanding. However, creating opportunities for mathematical "magic" in mathematics classrooms has been a challenge for classroom practitioners. To support development of these experiences in…
Descriptors: Mathematics Teachers, Beginning Teachers, Mentors, Models
Xu, Binyan; Lu, Xiaoli; Yang, Xinrong; Bao, Jiansheng – ZDM: Mathematics Education, 2022
Mathematical modelling has been included in many mathematics curricula worldwide, and China's curricula are no exception. The development of modelling competencies has recently been listed among the Chinese mathematics curriculum's six key objectives. However, the manner in which nationwide learning and teaching of modelling should be conducted…
Descriptors: Mathematical Models, Mathematics Curriculum, Foreign Countries, Mathematics Teachers
Redish, Edward F. – Physics Teacher, 2021
Learning to create, use, and evaluate models is a central element of becoming a scientist. In physics, we often begin an analysis of a complicated system with highly simplified or toy models. In introductory physics classes, we tend to use them without comment or motivation. Some students infer that physics is irrelevant to their understanding of…
Descriptors: Physics, Science Instruction, Interdisciplinary Approach, Mathematics
Tatsis, Konstantinos; Wagner, David; Maj-Tatsis, Bozena – ZDM: The International Journal on Mathematics Education, 2018
In the paper we deploy two related theoretical and methodological approaches to see how they complement each other in the analysis of oral communication in mathematics group work. The first approach is an authority framework that builds on positioning theory and the second is politeness theory, with a focus on the sociological notion of face.…
Descriptors: Mathematics Instruction, Mathematics, Interaction, Teaching Methods
Son, Aloisius Loka; Darhim; Fatimah, Siti – Journal on Mathematics Education, 2020
The study aimed to analyze the interaction effect teaching models and cognitive style field dependent (FD)-field independent (FI) to students' mathematical problem-solving ability (MPSA), as well as students' MPSA differences based on teaching models and cognitive styles. Participants in this study were 145 junior high school students, with…
Descriptors: Mathematics Instruction, Mathematics, Mathematics Skills, Problem Solving
Ronda, Erlina; Adler, Jill – International Journal of Science and Mathematics Education, 2017
In this paper, we propose an analytic tool for describing the mathematics made available to learn in a "textbook lesson". The tool is an adaptation of the Mathematics Discourse in Instruction (MDI) analytic tool that we developed to analyze what is made available to learn in teachers' lessons. Our motivation to adapt the use of the MDI…
Descriptors: Mathematics Instruction, Textbooks, Models, Mathematics
Livieris, Ioannis E.; Drakopoulou, Konstantina; Tampakas, Vassilis T.; Mikropoulos, Tassos A.; Pintelas, Panagiotis – Journal of Educational Computing Research, 2019
Educational data mining constitutes a recent research field which gained popularity over the last decade because of its ability to monitor students' academic performance and predict future progression. Numerous machine learning techniques and especially supervised learning algorithms have been applied to develop accurate models to predict…
Descriptors: Secondary School Students, Academic Achievement, Teaching Methods, Student Behavior
Jones, Joshua David – Mathematics Teacher: Learning and Teaching PK-12, 2022
To be literate in a society where the information shared online is often exploited, learners should be exposed to multiple aspects of contemporary predictive modeling. This article explores an activity in which grade 10 students learned how a famous AI algorithm (the Apriori algorithm) uses conditional probability to automate the process of…
Descriptors: Mathematics Instruction, Teaching Methods, Grade 10, High School Students
Clivaz, Stéphane – Educational Studies in Mathematics, 2017
This paper provides an analysis of a teaching episode of the multidigit algorithm for multiplication, with a focus on the influence of the teacher's mathematical knowledge on their teaching. The theoretical framework uses Mathematical Knowledge for Teaching, mathematical pertinence of the teacher and structuration of the milieu in a descending and…
Descriptors: Mathematics Instruction, Multiplication, Teaching Methods, Knowledge Level
Kularajan, Sindura Subanemy; Czocher, Jennifer A. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2021
In this paper we address the question, how do quantitative reasoning and covariational reasoning present as students build structural conceptions of real-world situations. We use data from an exploratory teaching experiment with an undergraduate STEM major to illustrate the explanatory roles quantitative reasoning and covariational reasoning play…
Descriptors: Mathematics, Thinking Skills, Concept Formation, Undergraduate Students
Stern, David; Stern, Roger; Parsons, Danny; Musyoka, James; Torgbor, Francis; Mbasu, Zach – Statistics Education Research Journal, 2020
The African Data Initiative started as a crowd-sourced campaign to improve the teaching of statistics in African universities. The analysis of climate data provides one suitable context to illustrate ideas that lead to a radical new form of teaching. The problem within the context comes first, the technicalities are largely reduced -- mathematics…
Descriptors: Foreign Countries, Data Collection, Data Analysis, Higher Education
Reiser, Elana – Journal of the Scholarship of Teaching and Learning, 2017
Two sections of a college discrete mathematics class were taught using cooperative learning techniques throughout the semester. The 33 students attending these sections were randomly assigned into groups of three. Their final examination consisted of an individual and group blended examination where students worked in their groups and discussed…
Descriptors: Models, Academic Achievement, Cooperative Learning, Questionnaires
Velázquez-Iturbide, J. Ángel; Castellanos, M. Eugenia; Hijón-Neira, Raquel – IEEE Transactions on Education, 2016
Recursion is one of the most difficult programming topics for students. In this paper, an instructional method is proposed to enhance students' understanding of recursion tracing. The proposal is based on the use of rules to translate linear recursion algorithms into equivalent, iterative ones. The paper has two main contributions: the…
Descriptors: Computer Science Education, Programming, Teaching Methods, Mathematics
Cavey, Laurie O.; Kinzel, Margaret T. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2015
In this paper we propose a refinement of Michener's (1978) well-known example classification based on data from university mathematicians. The refinement takes into account the mathematician's perspective on the role of examples in doing mathematics. More specifically, our work provides insight into the ways in which mathematicians talk about…
Descriptors: Mathematics, Professional Personnel, Mathematics Instruction, Mathematical Logic