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Hähkiöniemi, Markus; Francisco, John; Lehtinen, Antti; Nieminen, Pasi; Pehkonen, Salla – Educational Studies in Mathematics, 2023
Previous studies have proposed that students' mathematical understanding develops dynamically through the process known as folding back, in which learners revisit earlier forms of understanding and use them to build even deeper levels of mathematical understanding. Digital learning environments, where students can manipulate representations, are…
Descriptors: Electronic Learning, Educational Environment, Mathematics Skills, Prior Learning
Vroom, Kristen; Gehrtz, Jessica; Apkarian, Naneh; Alzaga Elizondo, Tenchita; Ellis, Brittney; Hagman, Jessica – International Journal of STEM Education, 2022
Background: Implementing research-based teaching practices has been repeatedly cited as an important factor for student success in university mathematics courses. Many research-based practices increase the amount of student-student and/or student-instructor interaction. However, some instructors are hesitant to implement such practices because…
Descriptors: College Freshmen, Student Attitudes, College Mathematics, Introductory Courses
McMullen, Jake; Verschaffel, Lieven; Hannula-Sormunen, Minna M. – Mathematical Thinking and Learning: An International Journal, 2020
Children's own spontaneous mathematical activities are crucial for their mathematical development. Mathematical thinking and learning does not only occur in explicitly mathematical situations, such as the classroom. Those children with higher tendencies to recognize and use mathematical aspects of their everyday surroundings, both within the…
Descriptors: Mathematics Instruction, Mathematics Activities, Mathematical Logic, Thinking Skills
Bofferding, Laura – Research in Mathematics Education, 2018
This chapter focuses on the interaction of two first graders as they attempt to make sense of a particular instructional context for learning negative numbers. The context is one where they move an elevator to a building's floors above and below ground in order to model integer addition and subtraction problems. In particular, the focus of the…
Descriptors: Numbers, Number Concepts, Concept Formation, Mathematics Instruction
Chen, Ouhao; Kalyuga, Slava; Sweller, John – Journal of Educational Psychology, 2015
The worked example effect indicates that examples providing full guidance on how to solve a problem result in better test performance than a problem-solving condition with no guidance. The generation effect occurs when learners generating responses demonstrate better test performance than learners in a presentation condition that provides an…
Descriptors: Problem Solving, Geometry, Mathematics Instruction, Prior Learning
Sander, Elisabeth; Heiß, Andrea – Journal of Educational Computing Research, 2014
Three different versions of a learning program on trigonometry were compared, a program controlled, non-interactive version (CG), an interactive, conflict inducing version (EG 1), and an interactive one which was supposed to reduce the occurrence of a cognitive conflict regarding the central problem solution (EG 2). Pupils (N = 101) of a…
Descriptors: Foreign Countries, Trigonometry, Mathematics Instruction, Comparative Analysis
Westbrook, Amy Franks – ProQuest LLC, 2014
This study addresses the problem of mathematics teachers' resistance to problem-solving models that align with constructivist perspectives because they feel pressure to utilize more teaching approaches that focus on preparing students for high-stakes tests. The purpose of this qualitative study was to explain how ninth grade mathematics students…
Descriptors: Mathematics Teachers, Mathematics Instruction, Resistance (Psychology), Problem Solving
Murni, Atma; Sabandar, Jozua; Kusumah, Yaya S.; Kartasamita, Bana Goerbana – Indonesian Mathematical Society Journal on Mathematics Education, 2013
The aim of this study is to know the differences of enhancement in mathematical problem solving ability (MPSA) between the students who received soft skill- based metacognitive learning (SSML) with the students who got conventional learning (CL). This research is a quasi experimental design with pretest-postest control group. The population in…
Descriptors: Mathematics Instruction, Problem Solving, Mathematics Skills, Junior High School Students
Surya, Edy; Sabandar, Jozua; Kusumah, Yaya S.; Darhim – Indonesian Mathematical Society Journal on Mathematics Education, 2013
The students' difficulty which was found is in the problem of understanding, drawing diagrams, reading the charts correctly, conceptual formal mathematical understanding, and mathematical problem solving. The appropriate problem representation is the basic way in order to understand the problem itself and make a plan to solve it. This research was…
Descriptors: Junior High School Students, Mathematics Instruction, Secondary School Mathematics, Problem Solving
Rummel, Nikol; Mullins, Dejana; Spada, Hans – International Journal of Computer-Supported Collaborative Learning, 2012
With the aim to promote students' mathematics learning, we extended the Cognitive Tutor Algebra (CTA), a computer-based tutoring system for high school mathematics, to a collaborative setting. Furthermore we developed a collaboration script to support students' interactions. In an experimental classroom study, we compared three conditions:…
Descriptors: Mathematics Education, Prior Learning, Interaction, Algebra
Araeipour, Mohammad R. – ProQuest LLC, 2013
This study compared traditional and distance education delivery platforms (onsite, hybrid, and online) at the college level in an urban setting in terms of student success, measured by final course grades and identified predictors of student success. The study examined the role of variables (prior knowledge of mathematics, language, gender,…
Descriptors: Conventional Instruction, Distance Education, Comparative Analysis, Undergraduate Students
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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