NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 32 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Abdennabi Lakrim; Mohamed Chergui; Bouazza El Wahbi – Journal of Education and Learning (EduLearn), 2025
This study is a contribution to efforts to promote practices for dealing with the difficulties encountered by learners in probabilistic modeling situations. We attempt to elucidate as precisely as possible the types of difficulties that secondary school students face in the process of modeling with probability tools. By referring to a large and…
Descriptors: Probability, Difficulty Level, Correlation, Classification
Peer reviewed Peer reviewed
Direct linkDirect link
Linda Saeta – Mathematics Teacher: Learning and Teaching PK-12, 2025
This article outlines a series of lessons the author led to help students understand gerrymandering, which is the practice of drawing district boundaries to favor a particular group or party and which undermines the fairness of a representative democracy. These lessons were developed to capture student interest and engagement by linking…
Descriptors: Mathematics Instruction, Teaching Methods, Geometry, Lesson Plans
Peer reviewed Peer reviewed
Direct linkDirect link
Böswald, Valentin; Schukajlow, Stanislaw – ZDM: Mathematics Education, 2023
According to expectancy-value models, two important motivational constructs are task value and self-efficacy expectations. As students work intensively on mathematical problems in the classroom, teachers need the competence to judge whether students value solving the problem and how confident they are that they will succeed. However, not much is…
Descriptors: Mathematics Instruction, Problem Solving, Value Judgment, Self Esteem
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Amy Adair; Michael Sao Pedro; Janice Gobert; Jessica A. Owens – Grantee Submission, 2023
Developing models and using mathematics are two key practices in internationally recognized science education standards such as the Next Generation Science Standards (NGSS, 2013). In this paper, we used a virtual performance-based formative assessment to capture students' competencies at both "developing" and "evaluating"…
Descriptors: Student Evaluation, Mathematical Models, Competence, Scientific Research
Peer reviewed Peer reviewed
Direct linkDirect link
Krawitz, Janina; Chang, Yu-Ping; Yang, Kai-Lin; Schukajlow, Stanislaw – Educational Studies in Mathematics, 2022
To solve mathematical modelling problems, students must translate real-world situations, which are typically presented in text form, into mathematical models. To complete the translation process, the problem-solver must first understand the real-world situation. Therefore, reading comprehension can be considered an essential part of solving…
Descriptors: Reading Comprehension, Mathematical Models, Cross Cultural Studies, Grade 9
Peer reviewed Peer reviewed
Direct linkDirect link
Lu, Xiaoli; Kaiser, Gabriele – ZDM: Mathematics Education, 2022
Creativity has been identified as a key characteristic that allows students to adapt smoothly to rapid societal and economic changes in the real world. However, Chinese students appear to perform less well in mathematical problem-solving and problem-posing abilities, which are strongly connected to mathematical creativity. Mathematical modelling…
Descriptors: Creativity, Mathematics Instruction, Problem Solving, Mathematical Models
Peer reviewed Peer reviewed
Direct linkDirect link
Singh, Mahua – Australian Mathematics Education Journal, 2021
In 2020, Year 12 students at John Curtin College of the Arts, were required to model COVID-19 data from five different countries in order to find correlations between daily infections and unemployment rates, in order to make future predictions. Work received from students demonstrated how the task successfully provided unique learning…
Descriptors: Mathematical Models, Mathematics Instruction, High School Students, Grade 12
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Aydogan Yenmez, Arzu – International Online Journal of Education and Teaching, 2022
Quantitative reasoning is defined as reasoning about relationships between items, measurements of objects, and quantities rather than numbers. Both in the transition from arithmetic to algebra and in the problem-solving process, quantitative reasoning is seen as a critical instrument for the development of students' mathematical skills. In the…
Descriptors: Problem Solving, Thinking Skills, Correlation, Arithmetic
Peer reviewed Peer reviewed
Direct linkDirect link
Shang, Hao – Journal of Chemical Education, 2021
Here, we present an interdisciplinary educational project intended for high school chemistry that is focused on the establishment of a mathematical model to describe the relationship between conductivity and concentration, while linking chemistry to mathematics with the help of computer software. The project was designed to help high school…
Descriptors: Science Instruction, Chemistry, Teaching Methods, Mathematics Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
AsKew, A.; Kennedy, K.; Klima, V. – PRIMUS, 2018
In this article we discuss relationships between the cyclic group Z[subscript 12] and Western tonal music that is embedded in a 12-note division of the octave. We then offer several questions inviting students to explore extensions of these relationships to other "n"-note octave divisions. The answers to most questions require only basic…
Descriptors: Arithmetic, Music Theory, Correlation, Numbers
Peer reviewed Peer reviewed
Direct linkDirect link
Battaglia, Onoforio Rosario; Di Paola, Benedetto; Fazio, Claudio – Physical Review Physics Education Research, 2019
A relevant aim of research in education is to find and study the reasoning lines that students deploy when dealing with problematic situations. This can be done through an analysis of the answers students give to a questionnaire. In this paper, we discuss some methodological aspects involved in the quantitative analysis of a questionnaire by means…
Descriptors: Correlation, Coding, Statistical Analysis, Questionnaires
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Hidayat, Riyan; Syed Zamri, Sharifah Norul Akmar; Zulnaidi, Hutkemri – Educational Sciences: Theory and Practice, 2018
Prior studies suggested close correlations among metacognition, mastery goal, and mathematical modelling competency. The present study examines the relationship between metacognition and mastery goal that may influence mathematical modelling competency. The current study employs 538 students of a mathematics education program; among these…
Descriptors: Mastery Learning, Goal Orientation, Metacognition, Mathematical Models
Peer reviewed Peer reviewed
Direct linkDirect link
Saadati, Farzaneh; Cerda, Gamal; Giaconi, Valentina; Reyes, Cristian; Felmer, Patricio – International Journal of Science and Mathematics Education, 2019
This study was designed to examine predictors of instructional beliefs related to problem solving that influence mathematics in-service teachers' practices in the Chilean context. A total of 713 in-service mathematics teachers from various elementary schools participated in the survey study during 2015 and 2016. Results showed that teachers'…
Descriptors: Mathematical Models, Foreign Countries, Mathematics Instruction, Mathematics Teachers
Peer reviewed Peer reviewed
PDF on ERIC Download full text
da Silva, Karina Alessandra Pessoa; de Almeida, Lourdes Maria Werle – REDIMAT - Journal of Research in Mathematics Education, 2018
In this article we present a reflection about the meaning attribution to the mathematical object "exponential function" that emerges from two mathematical modeling activities. The theoretical framework of the text contemplates considerations on Mathematical Modeling and elements of semiotics as theorized by Charles Sanders Peirce. The…
Descriptors: Semiotics, Mathematical Models, Familiarity, Mathematics Instruction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Jared Warner; Vivian Lim – Numeracy, 2019
The Gini index is one of the most commonly used indicators of income inequality, and its computation and interpretation require a thorough understanding of various quantitative literacy concepts. In this article, we describe a unit for an interdisciplinary quantitative literacy course at a community college that treats concepts of ratio and…
Descriptors: Interdisciplinary Approach, Numeracy, Income, Social Differences
Previous Page | Next Page »
Pages: 1  |  2  |  3