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Ngu, Bing Hiong; Phan, Huy P. – European Journal of Psychology of Education, 2023
The design principles of cognitive load theory and learning by analogy has independently contributed to our understanding why an instruction will or will not work. In an experimental study involving 97 Year 9 Australian students conducted in regular classrooms, we evaluated the effect of the unguided problem-solving approach, worked examples…
Descriptors: Instructional Effectiveness, Problem Solving, Mathematics Skills, Trigonometry
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Yi Ding; Qian Wang; Ru-De Liu; Jolene Trimm; Jiayi Wang; Shu Feng; Wei Hong; Xian-Tong Yang – SAGE Open, 2024
The paper examined the relations among problem solving, automaticity, and working memory load (WML) by changing the difficulty level of task characteristics through two applications. In Study 1, involving 68 engineering students, a 2 (automaticity) x 2 (WML) design was utilized for arithmetic problems. In Study 2, involving 76 engineering…
Descriptors: Short Term Memory, Cognitive Processes, Difficulty Level, Problem Solving
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Miller, David Allan; Schraeder, Matthew – International Journal of Education in Mathematics, Science and Technology, 2022
At a research university near the east coast, a college algebra class has been restructured into two large lectures a week, an active recitation size laboratory once a week, and an extra day devoted to active group work called Supplemental Practice (SP). SP was added as an extra day of class where the SP leader has students work in groups on a…
Descriptors: Problem Solving, Active Learning, Teaching Methods, Large Group Instruction
Gulley, Ann Patrice – ProQuest LLC, 2021
Many students with disabilities who are capable of learning math find limited success because the tools they are using to access mathematical content are not well aligned with their range of abilities. Process-Driven Math (PDM) is a learning support tool that was initially developed for one student who is blind and unable to write or type. PDM…
Descriptors: Access to Education, Mathematics Instruction, Students with Disabilities, Algebra
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Gupta, Udita; Zheng, Robert Z. – European Journal of STEM Education, 2020
Cognitive load can play a key role in learners' abilities to solve complex problems like mathematics. Many factors can affect the presence of cognitive load in learning including instructional strategy, task difficulty and prior knowledge. To understand the interaction of above factors and their influence on learner cognitive load and performance,…
Descriptors: Cognitive Processes, Difficulty Level, Student Motivation, College Students
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Ansaldo-Leyva, Julio C.; Peralta-García, Julia X.; Encinas-Pablos, Francisco J.; Cuevas-Salazar, Omar; Rangel-Lucas, Laura; Londoño-Millán, Noelia – International Education Studies, 2019
Mathematical tools allow us to clearly explain the phenomenon studied in administrative science. Various studies have shown that linear function is a concept, widely used in administration, as well as in other kinds of science, but difficult for students to grasp and assimilate as a tool in their studies. That is the reason that the objective of…
Descriptors: Semiotics, Undergraduate Students, Business Administration Education, Visual Aids
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Pournara, Craig; Sanders, Yvonne – Africa Education Review, 2020
The transition from arithmetic to algebra is a well-known difficulty in school mathematics. In order to succeed, learners require inter alia a better understanding of algebraic symbols, equality, equations and working with negatives/subtraction. This article reports on a response pattern analysis (RPA) of learners' responses to six test items…
Descriptors: Foreign Countries, Arithmetic, Algebra, Equations (Mathematics)
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Hedlefs-Aguilar, Maria Isolde; Morales-Martinez, Guadalupe Elizabeth; Villarreal-Lozano, Ricardo Jesus; Moreno-Rodriguez, Claudia; Gonzalez-Rodriguez, Erick Alejandro – European Journal of Educational Research, 2021
This study explored the cognitive mechanism behind information integration in the test anxiety judgments in 140 engineering students. An experiment was designed to test four factors combined (test goal orientation, test cognitive functioning level, test difficulty and test mode). The experimental task required participants to read 36 scenarios,…
Descriptors: Test Anxiety, Engineering Education, Algebra, College Students
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Walkington, Candace; Hayata, Carole A. – ZDM: The International Journal on Mathematics Education, 2017
Context personalization is an instructional design principle where tasks are presented to students in the context of their interest areas like sports, music, or video games. Personalization allows for understanding of domain principles to be grounded in concrete and familiar experiences. By making connections to prior knowledge, personalization…
Descriptors: Student Interests, Mathematics Instruction, Cognitive Processes, Difficulty Level
Nimtz, Jennifer L. – ProQuest LLC, 2018
Remedial/developmental and introductory university mathematics courses have a long history of high attrition rates. Recently, university administration and mathematics departments have been considering technological solutions, and one such solution is computer-adaptive-instruction (CAI). In fact, CAI has been touted as a "silver bullet"…
Descriptors: Undergraduate Students, Computer Assisted Instruction, College Mathematics, Algebra
Tikkun, Sean Richards – ProQuest LLC, 2018
This study investigated the cognitive factors that impact the completion of mathematics problems, specifically algebraic-reasoning, by individuals who use tactile materials (i.e., braille) compared to those who use print materials. The inquiry investigated working memory, task time, cognitive load, efficiency, and the predictive quality of…
Descriptors: Mathematics Skills, Algebra, Problem Solving, Mathematical Logic
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Zhang, Zhidong – International Education Studies, 2018
This study explored a diagnostic assessment method that emphasized the cognitive process of algebra learning. The study utilized a design and a theory-driven model to examine the content knowledge. Using the theory driven model, the thinking skills of algebra learning was also examined. A Bayesian network model was applied to represent the theory…
Descriptors: Algebra, Bayesian Statistics, Scores, Mathematics Achievement
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Wischgoll, Anke; Pauli, Christine; Reusser, Kurt – Instructional Science: An International Journal of the Learning Sciences, 2019
An individual's learning is determined by cognition, motivation, and social context. Taking these aspects into account, we assessed scaffolding in tutoring situations via contingency to determine how successful and unsuccessful teacher-student interactions are shaped. We aimed to find out how the problem-solving process in successful tutoring…
Descriptors: Scaffolding (Teaching Technique), Tutoring, Teacher Student Relationship, Problem Solving
Nogler, Tracey A. – ProQuest LLC, 2017
The purpose of this quantitative causal-comparative research was to examine if and to what extent there were differences in students' cognitive load and the subsequent academic performance based on block bell schedule and traditional bell schedule for freshmen in Algebra 1 in the Southwestern United States. This study included students from two…
Descriptors: Statistical Analysis, Comparative Analysis, Block Scheduling, Cognitive Processes
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Kustusch, Mary Bridget – Physical Review Physics Education Research, 2016
Students in introductory physics struggle with vector algebra and these challenges are often associated with contextual and representational features of the problems. Performance on problems about cross product direction is particularly poor and some research suggests that this may be primarily due to misapplied right-hand rules. However, few…
Descriptors: Algebra, Geometric Concepts, Academic Achievement, Introductory Courses
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