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Thierry Noah Dana-Picard; Sara Hershkovitz – International Journal for Technology in Mathematics Education, 2023
Relying on the students' cultural background to teach mathematics may be a strong incitement for the learning process. This background can include artistic creations, items from the news, among others. Because of the strong presence of space related news (in particular the almost simultaneous launching of three spacecrafts towards Mars), we…
Descriptors: Visual Arts, Astronomy, Mathematics Activities, Mathematics Instruction
Cristina Vladescu – International Electronic Journal of Mathematics Education, 2023
This study aims at highlighting the relationship between mastery learning models and academic performance in mathematics, moderated by the number of hours allotted to studying mathematics. There are 305 first to eighth-grade students who learn at "Nae A. Ghica Middle School" in Romania. Students in sixth, seventh, and eighth grades…
Descriptors: Mastery Learning, Models, Mathematics Achievement, Study Habits
Karnam, DurgaPrasad; Agrawal, Harshit; Parte, Pranay; Ranjan, Saurabh; Borar, Priyanka; Kurup, Prasanna Prakash; Joel, Amose Jebin; Srinivasan, Pattamadai Sankaran; Suryawanshi, Uddhav; Sule, Aniket; Chandrasekharan, Sanjay – Journal of Computer Assisted Learning, 2021
Educational technology designs in developing countries mostly focus on making knowledge resources widely available, through MOOCs, repositories and computer-based tutoring. The use of digital media for cognitive augmentation, particularly interactive designs that help learners understand modelling topics in STEM, is underexplored. We report a…
Descriptors: Educational Technology, Foreign Countries, Developing Nations, Models
Zhang, Chuankai; Huang, Yanzun; Wang, Jingyu; Lu, Dongyang; Fang, Weiqi; Stamper, John; Fancsali, Stephen; Holstein, Kenneth; Aleven, Vincent – Grantee Submission, 2019
"Wheel spinning" is the phenomenon in which a student fails to master a Knowledge Component (KC), despite significant practice. Ideally, an intelligent tutoring system would detect this phenomenon early, so that the system or a teacher could try alternative instructional strategies. Prior work has put forward several criteria for wheel…
Descriptors: Identification, Intelligent Tutoring Systems, Academic Failure, Criteria
Sharon Spence – ProQuest LLC, 2022
Over the past four decades, special education has become prominent in many public and private schools. This quantitative non-experimental study aims to compare the impact of the pullout model versus the inclusion model on students with learning disability scores on their Partnership for Assessment of Readiness for College and Careers (PARCC) in…
Descriptors: Inclusion, Models, Mathematics Achievement, Scores
Miranda, César Briseño; Sánchez, Ernesto Sánchez – North American Chapter of the International Group for the Psychology of Mathematics Education, 2019
The research this report belongs to aims at exploring the functional reasoning of high-school students from a covariation approach and proposing a framework to describe and predict the student's responses to modeling tasks in Dynamic Geometrical Situations. Items were designed for the students to build/construct the corresponding function guided…
Descriptors: High School Students, Mathematical Logic, Thinking Skills, Spatial Ability
Jason Knight Belnap; Amy Parrott – Mathematics Teacher: Learning and Teaching PK-12, 2020
This article discusses how technology, in conjunction with carefully designed tasks and orchestrated discussions, has the potential to both reveal students' mathematical practices and to provide opportunities to shape those practices. Four specific mathematical practices that tend to be associated with problem-solving situations are examined: (1)…
Descriptors: Educational Technology, Technology Uses in Education, Problem Solving, Models
Zhang, Chuankai; Huang, Yanzun; Wang, Jingyu; Lu, Dongyang; Fang, Weiqi; Stamper, John; Fancsali, Stephen; Holstein, Kenneth; Aleven, Vincent – International Educational Data Mining Society, 2019
"Wheel spinning" is the phenomenon in which a student fails to master a Knowledge Component (KC), despite significant practice. Ideally, an intelligent tutoring system would detect this phenomenon early, so that the system or a teacher could try alternative instructional strategies. Prior work has put forward several criteria for wheel…
Descriptors: Identification, Intelligent Tutoring Systems, Academic Failure, Criteria
Alyson E. Lischka; D. Christopher Stephens – Mathematics Teacher: Learning and Teaching PK-12, 2020
By using high-leverage models to connect student learning experiences to overarching concepts in mathematics, teachers can anchor learning in ways that allow students to make sense of content on the basis of their own prior experiences. A rectangular area model can be used as a tool for understanding problems that involve multiplicative reasoning.…
Descriptors: Mathematics Instruction, Teaching Methods, Mathematics Curriculum, Learning Experience
Mills, Terence; Sacrez, Aimé – Australian Mathematics Education Journal, 2020
Thomas Kuhn (1962/2012) introduced the term "paradigm shift" to the scientific literature to describe how knowledge in science develops. The aims of this article are to identify paradigm shifts, or revolutions, that have occurred in mathematics, and to discuss their relevance to teaching mathematics in schools. The authors argue that…
Descriptors: Mathematics Instruction, Cultural Differences, Models, Change
Sandoval, Ivonne; Possani, Edgar – Educational Studies in Mathematics, 2016
The purpose of this paper is to present an analysis of the difficulties faced by students when working with different representations of vectors, planes and their intersections in R[superscript 3]. Duval's theoretical framework on semiotic representations is used to design a set of evaluating activities, and later to analyze student work. The…
Descriptors: Models, Semiotics, Undergraduate Students, Higher Education
Liu, Ran; Koedinger, Kenneth R. – International Educational Data Mining Society, 2015
A growing body of research suggests that accounting for student specific variability in educational data can improve modeling accuracy and may have implications for individualizing instruction. The Additive Factors Model (AFM), a logistic regression model used to fit educational data and discover/refine skill models of learning, contains a…
Descriptors: Models, Regression (Statistics), Learning, Classification
Wetzel, Eunike; Xu, Xueli; von Davier, Matthias – Educational and Psychological Measurement, 2015
In large-scale educational surveys, a latent regression model is used to compensate for the shortage of cognitive information. Conventionally, the covariates in the latent regression model are principal components extracted from background data. This operational method has several important disadvantages, such as the handling of missing data and…
Descriptors: Surveys, Regression (Statistics), Models, Research Methodology
Lagrange, Jean-Baptiste – International Journal for Technology in Mathematics Education, 2014
From the early nineties, most reformed curricula at upper secondary level choose to give functions a major position and a priority over rational expressions and equations of traditional algebra. The goal of this paper is to introduce key challenges resulting from this choice and to discuss the contribution that software environments associating…
Descriptors: Mathematics Instruction, Algebra, Educational Technology, Secondary School Mathematics
Zehavi, Nurit; Mann, Giora – Technology, Knowledge and Learning, 2011
This paper presents the development process of a "praxeology" (theory-of-practice) for supporting the teaching of proofs in a CAS environment. The characteristics of the praxeology were elaborated within the frame of a professional development course for teaching analytic geometry with CAS. The theoretical framework draws on Chevallard's…
Descriptors: Geometry, Professional Development, Mathematics Instruction, Teaching Methods

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