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Chungsoo Na; Soojeong Jeong; Jody Clarke-Midura; Youngin Shin – Educational Technology Research and Development, 2024
The Community of Inquiry (CoI) framework has gained widespread recognition as a theoretical model for understanding student learning in online environments. Despite its prevalence, CoI has been critiqued for its limited emphasis on learners' proactive roles in self-regulating their own learning. To address this, researchers have suggested…
Descriptors: Undergraduate Students, Online Courses, Electronic Learning, Mathematics Instruction
Suzanne Dorée; Jennifer Quinn – PRIMUS, 2024
This paper is a practical how-to guide to help you start using active learning or to have greater success and more fun with it. We categorize active learning techniques as Think, Pair, Share, Composite, Group, Move, or Lead and discuss how to implement activities in each category, along with advice on creating engaging, effective, and equitable…
Descriptors: Active Learning, Learning Activities, Mathematics Instruction, Sequential Approach
Igor' Kontorovich; Sina Greenwood – International Journal of Research in Undergraduate Mathematics Education, 2024
Coming from a social perspective, we introduce a classroom organizational frame, where students' proofs progress from collaborative construction in small groups, through whole-class presentation at the board by one of the constructors, to a posteriori reflection. This design is informed by a view on proofs as successive social processes in the…
Descriptors: Mathematics Instruction, Mathematical Logic, Validity, Topology
Nicholas Gorgievski; Thomas DeFranco – Investigations in Mathematics Learning, 2024
In most mathematics textbooks, each lesson is followed by a set of homework problems in one of two ways -- blocked practice and mixed practice. Additionally, most mathematics textbooks rely on a common learning strategy called overlearning, that is, mastering a skill and continuing to practice this same skill. This study investigated the effects…
Descriptors: Calculus, Mathematics Instruction, Mathematics Achievement, Scores
Hisham Hanfy Ayob; Tarek Ibrahim Hamada – Journal of Applied Research in Higher Education, 2024
Purpose: This study was done to compare the modes of teaching mathematics in higher education in the United Arab Emirates (UAE). The three teaching methods were used as follow: before, during and after the COVID-19 pandemic. The three teaching methods are: (1) Normal on-campus face-to-face teaching and learning activity before the COVID-19…
Descriptors: Mathematics Instruction, College Mathematics, English (Second Language), Second Language Learning
Juan Antonio Martinez-Carrascal; Jorge Munoz-Gama; Teresa Sancho-Vinuesa – IEEE Transactions on Learning Technologies, 2024
Academic institutions dedicate a substantial effort to ensure the academic success of their students. At the course level, teachers recommend learning paths (RLPs) for students to guarantee the achievement of their learning outcomes. In terms of performance, these kinds of approaches are deemed more effective than others based uniquely on…
Descriptors: Online Courses, Mathematics Instruction, Undergraduate Students, Mathematics Achievement
Moss, Diana L.; Bertolone-Smith, Claudia M.; Boyce, Steven; MacDonald, Beth L.; Grabhorn, Jeffrey A.; Roman, Christopher – Educational Forum, 2023
Tensions between constructivist learning theories and objectivist learning theories in online courses implicate a need for a theoretical balance. This article describes organizing and enacting tasks that elicit constructivist learning of mathematics in an online mathematics teacher education course. The results focus on a conceptual framework that…
Descriptors: STEM Education, Electronic Learning, Learning, Constructivism (Learning)
Rita Yeboah; Kwaku Darko Amponsah; Priscilla Commey Mintah; John Sedofia; Phyllis Bernice Kwarteng Donkor (Opare) – Education 3-13, 2025
This research explores how primary school teachers use games to enhance pupils' learning and development of conceptual knowledge. The study employs an illustrative case study design; data was collected through interviews with thirty (30) teachers who were selected using purposive sampling technique. Twenty teachers had some knowledge of game-based…
Descriptors: Foreign Countries, Game Based Learning, Teacher Attitudes, Mathematics Instruction
Sheridan Reilly; Lynn Sheridan; Elise van der Jagt – International Journal of Lifelong Education, 2025
Pre-university mathematics enabling courses can potentially change adult learners' perceptions and beliefs around mathematics, enhance self-efficacy, personal confidence, motivation, and enable achievements that support future study and career goals. Enabling courses, however, often require highly individualised curricula and approaches that can…
Descriptors: Adult Students, Mathematics Instruction, Adult Learning, Self Esteem
Julius Ceasar Hortelano; Maricar Prudente – Journal of Pedagogical Research, 2024
Conceptualized in France during the sixties, the Theory of Didactical Situations [TDS] is a pivotal framework for developing mathematics teaching and learning processes. Despite the increasing qualitative studies over the last ten years, there remains a dearth of analysis of its effects on mathematics education. Through a Grounded Formal Theory…
Descriptors: Didacticism, Mathematics Instruction, Mathematics Education, Learning Processes
Matthias Grünke; Isa Braunwarth; Vincent Connelly; Anne Barwasser – Education and Treatment of Children, 2025
This single-case study assessed the effectiveness of a mnemonic pegword strategy designed to enhance the multiplication fact fluency of three 6th-grade students who demonstrated persistent learning difficulties in mathematics. A nonconcurrent multiple baseline across subjects design was utilized, incorporating 3-5 baseline sessions followed by…
Descriptors: Mathematics Skills, Multiplication, Learning Problems, Mathematics Instruction
Hai Li; Wanli Xing; Chenglu Li; Wangda Zhu; Simon Woodhead – Journal of Learning Analytics, 2025
Knowledge tracing (KT) is a method to evaluate a student's knowledge state (KS) based on their historical problem-solving records by predicting the next answer's binary correctness. Although widely applied to closed-ended questions, it lacks a detailed option tracing (OT) method for assessing multiple-choice questions (MCQs). This paper introduces…
Descriptors: Mathematics Tests, Multiple Choice Tests, Computer Assisted Testing, Problem Solving
Amenda N. Chow; Peter D. Harrington; Fok-Shuen Leung – Teaching Mathematics and Its Applications, 2024
Physical experiments in classrooms have many benefits for student learning, including increased student interest, participation and knowledge retention. While experiments are common in engineering and physics classes, they are seldom used in first-year calculus, where the focus is on solving problems analytically and, occasionally, numerically. In…
Descriptors: Mathematics Instruction, Calculus, Computer Software, Programming
Amy Goodman; Youngjin Lee; Willard Elieson; Gerald Knezek – Journal of Computers in Mathematics and Science Teaching, 2023
Virtual learning environments give students more autonomy over their learning than traditional face-to-face classes and require that students adapt the ways they consume and assimilate new information. One theory of this process is self-regulated learning, which is illustrated in Efklides' Metacognitive and Affective model of Self-Regulated…
Descriptors: Self Management, Learning Theories, Learning Analytics, Undergraduate Students
Sara Bagossi; Osama Swidan – International Journal for Technology in Mathematics Education, 2023
Second-order covariation is a form of mathematical reasoning that needs to be characterized both concerning students' cognitive processes and the design of tasks that promote it. This contribution aims to shed light on these two issues by comparing data related to the same learning experiment performed in two different learning environments:…
Descriptors: Cognitive Processes, Learning Processes, Curriculum Design, Computer Assisted Instruction