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Jinfa Cai; Benjamin Rott – ZDM: Mathematics Education, 2024
Problem posing engages students in generating new problems based on given situations (including mathematical expressions or diagrams) or changing (i.e., reformulating) existing problems. Problem posing has been at the forefront of discussion over the past few decades. One of the important topics studied is the process of problem posing as…
Descriptors: Mathematics Instruction, Teaching Methods, Problem Solving, Models
Omar A. Naranjo; Steven R. Jones – International Journal of Science and Mathematics Education, 2024
Differential equations (DEs) are a powerful tool for modeling real-world contexts. Most research in this area has examined students' understanding and reasoning with pre-packaged DEs, with little attention being given to setting up sophisticated DEs to model complicated real-world situations. This study contributes through a collective case study…
Descriptors: Equations (Mathematics), Mathematical Models, Relevance (Education), Mathematics Skills
María Burgos; Nicolás Tizón-Escamilla; Jorhan Chaverri – Mathematics Education Research Journal, 2025
The invention of problems is a fundamental competence that enhances the didactic-mathematical knowledge of mathematics teachers and therefore should be an objective in teacher training plans. In this paper, we revise different proposals for categorizing problem-creation activities and propose a theoretical model for problem posing that, based on…
Descriptors: Mathematics Instruction, Problem Solving, Models, Preservice Teachers
Fu Chen; Chang Lu; Ying Cui – Education and Information Technologies, 2024
Successful computer-based assessments for learning greatly rely on an effective learner modeling approach to analyze learner data and evaluate learner behaviors. In addition to explicit learning performance (i.e., product data), the process data logged by computer-based assessments provide a treasure trove of information about how learners solve…
Descriptors: Computer Assisted Testing, Problem Solving, Learning Analytics, Learning Processes
Carlos Ledezma – REDIMAT - Journal of Research in Mathematics Education, 2024
Mathematical modelling has acquired relevance in different fields at an international level, both in education and research. This article states that, throughout the construction of the theoretical corpus of this mathematical process and competency -- among others -- two big issues have occurred: one of terminological nature since the definitions…
Descriptors: Semiotics, Mathematical Models, Mathematics Education, Classification
Siripon Saenboonsong; Akarapon Poonsawad – Journal of Education and Learning, 2024
The aims of this study were to synthesize and evaluate the learning model in gamification environment together with cartoon animation media to promote students' creative problem-solving skills. This study was divided into three phases, (i) synthesized and evaluated the appropriateness of learning model (ii) developed cartoon animation and (iii)…
Descriptors: Problem Solving, Creative Thinking, Cartoons, Gamification
Jonas Bergman Ärlebäck; Lluís Albarracín – Teaching Mathematics and Its Applications, 2024
In this paper, we draw on recent research on so-called Fermi problems and situate the fundamental principles underlying this type of tasks and their use from a task design perspective. We use the models and modelling perspective on teaching and learning to elaborate on aspects related to the design of single-use, as well as sequences of, Fermi…
Descriptors: Problem Solving, Mathematics Education, STEM Education, Mathematical Models
Jaleh Rezaei; Nasim Asghary – International Journal of Mathematical Education in Science and Technology, 2025
Mathematical modelling is an interlinking process between mathematics and real-world problems that can be applied as a means to increase motivation, develop cognitive competencies, and enhance the ability to transfer mathematical knowledge to other areas of science, such as engineering disciplines. This study was designed to investigate the effect…
Descriptors: Calculus, Mathematical Models, Mathematics Instruction, Problem Solving
Ismael Cabero; Carl Winsløw – International Journal of Mathematical Education in Science and Technology, 2025
The notion of function is central in all of the secondary curriculum, and indeed functional models appear in almost all higher education that is based on mathematics. However, in secondary education, functions usually appear in restricted and somewhat sterile forms. In this (mostly theoretical) paper, we present a proposal -- exemplified by a…
Descriptors: Mathematics Instruction, Mathematical Models, Teaching Methods, Secondary School Mathematics
Nadav Marco; Alik Palatnik – Educational Studies in Mathematics, 2024
This study proposes a model of several dimensions through which products of teachers' context-based mathematics problem posing (PP) can be modified. The dimensions are Correctness, Authenticity, Task Assortment (consisting of Mathematical Diversity, Multiple Data Representations, Question-Answer Format, Precision-Approximation, and…
Descriptors: Models, Problem Solving, Mathematics Instruction, Faculty Development
Irena Puji Luritawaty; Tatang Herman; Sufyani Prabawanto – Mathematics Teaching Research Journal, 2024
Critical thinking is a key transversal competency of the 21st century, but some students have difficulty, especially during the transition to online learning due to the COVID-19 pandemic. This study aims to identify epistemological obstacles in critical thinking related to proof, generalization, alternative answers, and problem-solving. This…
Descriptors: Critical Thinking, Electronic Learning, Epistemology, Mathematical Models
Shuanghong Shen; Qi Liu; Zhenya Huang; Yonghe Zheng; Minghao Yin; Minjuan Wang; Enhong Chen – IEEE Transactions on Learning Technologies, 2024
Modern online education has the capacity to provide intelligent educational services by automatically analyzing substantial amounts of student behavioral data. Knowledge tracing (KT) is one of the fundamental tasks for student behavioral data analysis, aiming to monitor students' evolving knowledge state during their problem-solving process. In…
Descriptors: Student Behavior, Electronic Learning, Data Analysis, Models
Qi Zhang – Education and Information Technologies, 2024
This study investigates the affective and performative effects of ludicization, i.e., the process of transforming the original contexts into immersive ludic experiences based on metaphorized desired behaviors and reflexive space, on language learning. The effects of ludicization are based on an integrated model involving multidimensional…
Descriptors: Language Acquisition, Motivation, Models, Adoption (Ideas)
William R. Dardick; Jeffrey R. Harring – Journal of Educational and Behavioral Statistics, 2025
Simulation studies are the basic tools of quantitative methodologists used to obtain empirical solutions to statistical problems that may be impossible to derive through direct mathematical computations. The successful execution of many simulation studies relies on the accurate generation of correlated multivariate data that adhere to a particular…
Descriptors: Statistics, Statistics Education, Problem Solving, Multivariate Analysis
Sofie Ye; Maja Elmgren; Magnus Jacobsson; Felix M. Ho – Chemistry Education Research and Practice, 2024
Problem solving in chemical kinetics poses substantial challenges for university students since it often involves significant use of mathematics as a tool and language, with challenging translations and transitions between chemical phenomena and mathematical representations. In this paper, we present key findings from a study investigating…
Descriptors: Problem Solving, Chemistry, Kinetics, Mathematics