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Erica Litke; Amber Candela; Melissa Boston; Leslie Dietiker – ZDM: Mathematics Education, 2024
When analyzing instructional quality in mathematics, observational measures can consider domain-specific instructional approaches (e.g., effective teaching of mathematics) and content-focused practices (e.g., effective teaching of a specific mathematical topic). In this study, we analyze lesson videos from secondary algebra classrooms using two…
Descriptors: Educational Quality, Mathematics Instruction, Algebra, Feedback (Response)
Federica Ferretti; Chiara Giberti; Sara Bagossi; Eugenia Taranto; Ferdinando Arzarello – For the Learning of Mathematics, 2024
Covariational reasoning, essential for understanding functions and modeling dynamic situations, is traditionally introduced in secondary education. This paper proposes introducing covariational reasoning in primary school settings through an artifact, the Tracer. Previous studies investigate a covariational approach to functions with younger…
Descriptors: Mathematics Instruction, Elementary School Students, Thinking Skills, Teaching Methods
Lukman Jakfar Shodiq; Dwi Juniati; Susanah – Mathematics Teaching Research Journal, 2024
Mathematics learning in higher education today focuses on the need to enhance students' diverse creativity through learning process. To address this challenge, this study introduces the Differentiated Instruction based on Lateral Thinking Techniques (D-LTT) framework. It provides an overview of D-LTT, demonstrates its application in a numerical…
Descriptors: Individualized Instruction, Thinking Skills, Mathematics Instruction, Creativity
Riyan Hidayat; Ahmad Fauzi Mohd Ayub; Harris Shah Abd Hamid; Nurihan Nasir – International Electronic Journal of Mathematics Education, 2025
Mathematical modeling is crucial in the field of education, particularly in mathematics, as it enhances students' mathematical skills and prepares them for solving real-world problems. The study focuses on the challenges of teaching mathematical modeling, specifically in the Malaysian education system. We utilized a case study approach, involving…
Descriptors: Teaching Methods, Mathematical Models, Mathematics Instruction, Teacher Attitudes
Mzomwe Yahya Mazana; Calkin Suero Montero; Respickius Olifage Casmir – International Journal for Mathematics Teaching and Learning, 2025
This study compares the effects of student-centred teaching methods, teacher-centred methods, and teacher-student interactive methods on students' mathematics academic achievement. For this purpose, calculus, compound interest, annuities, and depreciation topics were taught to first-year college students in three different groups: traditional…
Descriptors: Mathematics Instruction, Teaching Methods, Student Centered Learning, Teacher Student Relationship
Yun Long; Haifeng Luo; Yu Zhang – npj Science of Learning, 2024
This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue--a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to streamline and enhance this process. Using…
Descriptors: Classroom Communication, Computational Linguistics, Chinese, Mathematics Instruction
Effect of Teaching with Mathematical Modeling on Students' Mathematics Achievements: A Meta-Analysis
Veli Ünlü; Erhan Ertekin – International Journal of Assessment Tools in Education, 2025
Considering its relationships with real life and mathematics, mathematical modeling is one of the most effective ways of learning and teaching mathematics. In this study, the effect of teaching with mathematical modeling on students' mathematics achievement was examined using the meta-analysis method. An effect size of 51 was achieved with 45…
Descriptors: Mathematical Models, Mathematics Instruction, Mathematics Achievement, Teaching Methods
Wanju Huang; Shamila Janakiraman – Journal of Research on Technology in Education, 2025
Statistics anxiety is a reality among many students that may affect their academic and professional lives. Although there are instructional strategies proven to demonstrate advanced statistical concepts, a method to mitigate statistics anxiety in introductory courses is lacking. This research examines the effectiveness of three interventions used…
Descriptors: Statistics Education, Animation, Video Technology, Undergraduate Students
Musarurwa David Chinofunga; Philemon Chigeza; Subhashni Taylor – Mathematics Education Research Journal, 2025
Supporting students' problem-solving skills, solution planning and sequencing of different stages that are involved in successfully developing a meaningful solution to a problem has been a challenge for teachers. This case study was informed by reflective investigation methodology which explored how procedural flowcharts can support student…
Descriptors: Mathematics Instruction, Problem Solving, Visual Aids, Teaching Methods
Mika Gabel; Tommy Dreyfus – International Journal of Research in Undergraduate Mathematics Education, 2024
We propose the 'flow of a proof' as a construct that relates to the balance lecturers achieve in their presentation between the proof as a whole and its different parts, taking into account various aspects (informal, contextual) of proof classroom presentation. We conducted expert interviews in which we presented two different proofs of the same…
Descriptors: College Faculty, Mathematics Instruction, Validity, Mathematical Logic
Edward C. Nolan – Mathematics Teacher: Learning and Teaching PK-12, 2025
Purposeful questioning is one of the most important elements to promote successful mathematics understanding (National Council of Teachers of Mathematics, 2014; Ontario Ministry of Education, 2011). Questioning helps teachers to elicit, interpret, and respond to student thinking (Stein et al., 2008) and supports students' understanding,…
Descriptors: Mathematics Education, Mathematics Instruction, Teaching Methods, Questioning Techniques
A Strategy to Engage Students in Inquiry-Based Learning of Mathematics: Predict, Observe and Explain
Gokhan Karakoc; Cengiz Alacaci; Alipasa Ayas – Instructional Science: An International Journal of the Learning Sciences, 2025
The current research implemented the Predict Observe and Explain (POE) instructional approach in mathematics and examined its efficacy in enhancing students' understanding of functions in terms of their ability to connect algebraic and graphical representations in optimization problems. Two grade 11 classes (40 students in total) and two grade 10…
Descriptors: Inquiry, Active Learning, Mathematics Instruction, Grade 10
Pavel Chernyavskiy; Traci S. Kutaka; Carson Keeter; Julie Sarama; Douglas Clements – Grantee Submission, 2024
When researchers code behavior that is undetectable or falls outside of the validated ordinal scale, the resultant outcomes often suffer from informative missingness. Incorrect analysis of such data can lead to biased arguments around efficacy and effectiveness in the context of experimental and intervention research. Here, we detail a new…
Descriptors: Bayesian Statistics, Mathematics Instruction, Learning Trajectories, Item Response Theory
Megan Rojo; Sarah G. King; Christian T. Doabler – Intervention in School and Clinic, 2024
Rational number proficiency is predictive of later mathematics achievement, especially for rigorous mathematics courses, such as Algebra I. Students with learning disabilities (LD) in mathematics struggle to make adequate progress on rational number concepts and skills that lay the foundation for successfully completing secondary mathematics…
Descriptors: Mathematical Concepts, Teaching Methods, Mathematics Instruction, Students with Disabilities
Chamberlain, D.; Grady, A.; Keeran, S.; Knudson, K.; Manly, I.; Shabazz, M.; Stone, C.; York, A. – PRIMUS, 2021
In this note, we describe a large-scale transition to an active learning format in first-semester calculus at the University of Florida. Student performance and attitudes are compared across traditional lecture and flipped sections.
Descriptors: College Mathematics, Calculus, Active Learning, College Freshmen

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