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Raynetta K. Wiggins – ProQuest LLC, 2024
Through instructional tasks, teachers can present content in ways that require students to apply critical thinking, problem-solving, and other cognitive skills. The purpose of this mixed methods collective case study was to determine how teacher-assigned instructional tasks in mathematics impact students' learning of mathematical concepts. In this…
Descriptors: Teaching Methods, Mathematics Instruction, Task Analysis, Mathematical Concepts
Alf Coles; Nathalie Sinclair – Research in Mathematics Education, 2024
In this theoretical article, we explore the possibility that instead of a mathematical connection arising "in-between" two (or more) pre-existing ideas or objects, which have presumably been known or understood, that connection is itself the motor of understanding. The standard view of connection, in which two existing ideas or concepts…
Descriptors: Educational Change, Mathematics Instruction, Self Concept, Learning Processes
Noll, Jennifer; Kirin, Dana; Clement, Kit; Dolor, Jason – Mathematical Thinking and Learning: An International Journal, 2023
Using simulation approaches when conducting randomization tests for comparing two groups in the context of experimental studies has been promoted as a beneficial approach for supporting student learning of statistical inference. Many researchers have suggested that the data production process in simulations for the randomization test intuitively…
Descriptors: Mathematics Instruction, Thinking Skills, Comparative Analysis, Learning Processes
Ziegler, Esther; Trninic, Dragan; Kapur, Manu – Instructional Science: An International Journal of the Learning Sciences, 2021
Productive failure has shown positive effects on conceptual and transfer measures, but no clear effects on procedural measures. It is therefore an open question whether, and to what extent, productive failure methods may be used to enhance the learning of procedural skills. A typical productive failure study focuses on a single, complex concept;…
Descriptors: Algebra, Failure, Problem Solving, Mathematics Instruction
Anna Donhauser; Philipp Bitzenbauer; Linda Qerimi; Stefan Heusler; Stefan Küchemann; Jochen Kuhn; Malte S. Ubben – Physical Review Physics Education Research, 2024
The present review intends to show the current state of teaching quantum-related content, to analyze and compare its learning efficiency, and to give a systemized overview of quantum-educational activities in the last years. We focus on teaching and learning elements, their innovative tools, and process-oriented studies that are empirically…
Descriptors: Physics, Science Instruction, Quantum Mechanics, Comparative Analysis
Blanton, Maria – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
Learning progressions have become an important construct in educational research, in part because of their ability to inform the design of coherent standards, curricula, assessments, and instruction. In this paper, I discuss how a learning progressions approach has guided our development of an early algebra innovation for the elementary grades and…
Descriptors: Learning Trajectories, Access to Education, Algebra, Mathematics Education
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Yimam, Mekonnen; Dagnew Kelkay, Asrat – Cogent Education, 2022
This study attempted to develop a literature-informed discourse-based instructional approach and evaluated its effects on eleventh-grade students' conceptual and procedural understandings in probability and statistics. To this end, a quasi-experimental study that involved two control groups and one experimental group was used. One-way analysis of…
Descriptors: Grade 11, High School Students, Mathematics Instruction, Mathematical Concepts
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Jeannotte, Doris; Corriveau, Claudia – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
This study investigates the use of manipulatives by elementary students working on a fraction task. Extending previous work on the role played by the manipulatives in students' activity, we aim at describing how the choices made for the task design disrupt students' activity, creating opportunities to learn. The theoretical underpinnings allow…
Descriptors: Fractions, Instructional Materials, Mathematics Instruction, Teaching Methods
Prediger, Susanne; Quabeck, Kim; Erath, Kirstin – Journal on Mathematics Education, 2022
Adaptive teaching on the micro-level of teacher-student interaction has often been investigated, but rarely with respect to students' content-specific learning pathways. In this paper, we present an analytic approach to disentangle the learning content into its components and to capture the content-specific adaptivity in teaching practices with…
Descriptors: Fractions, Mathematics Instruction, Teacher Student Relationship, Course Content
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Dawkins, Paul Christian; Roh, Kyeong Hah; Eckman, Derek; Cho, Young Kee – North American Chapter of the International Group for the Psychology of Mathematics Education, 2021
This report documents how one undergraduate student used set-based reasoning to reinvent logical principles related to conditional statements and their proofs. This learning occurred in a teaching experiment intended to foster abstraction of these logical relationships by comparing the predicate and inference structures among various proofs (in…
Descriptors: Mathematics Instruction, Validity, Mathematical Logic, Learning Trajectories
Ndungo, Issa; Mugizi, Moses – Online Submission, 2019
Mathematics is key during teaching and school management; the relevance of teaching introductory mathematics to the pre-service teachers at universities was investigated. A random sample of 80 pre-service teachers and a quantitative experimental design were adopted. The results indicated that there was a significant difference at 0.05 level…
Descriptors: Mathematics Instruction, Mathematical Concepts, Specialization, Introductory Courses
Muslimin; Putri, Ratu Ilma Indra; Zulkardi; Aisyah, Nyimas – Journal on Mathematics Education, 2020
Mathematical learning not only produces students who succeed in mathematical and procedural calculations but also develops religious thinking. Realistic mathematics education with the context of Islamic values makes students can imagine, which is one of the right ways to develop the skills of students' creativity, collaboration, and communication.…
Descriptors: Mathematics Instruction, Islam, Social Values, Religious Factors
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