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Problem-Solving Support and Instructional Sequence: Impact on Cognitive Load and Student Performance
Jamie Costley; Anna Gorbunova; Matthew Courtney; Ouhao Chen; Christopher Lange – European Journal of Psychology of Education, 2024
In terms of instructional sequencing and cognitive load research, it remains unclear what effect different instructional sequences have on cognitive load and how to use problem-solving support within instructional sequences to reduce cognitive load. The current study examines how instructional sequencing and problem-solving support interact with…
Descriptors: Problem Solving, Cognitive Processes, Difficulty Level, Academic Achievement
Ignasi Florensa; Marta Barbero; Rafael Martínez-Planel – ZDM: Mathematics Education, 2024
Research into mathematics education at university level includes a wide range of theoretical approaches. This poses considerable challenges to researchers in terms of understanding and harmonizing the compatibility and commensurability of those approaches. The research community has already problematised and studied these challenges using…
Descriptors: College Mathematics, Comparative Analysis, Schemata (Cognition), Problem Solving
Simon Quick; John Lyle – Journal of Teaching in Physical Education, 2024
Psychology-based research has been a characteristic of empirical inquiry in sport coaching for over 50 years, and cognitive function is widely accepted as a fundamental component of sport coaching expertise. Within the academic literature, much empirical research on coaches' cognitions has tended to adopt retrospective approaches, such as…
Descriptors: Athletic Coaches, Team Sports, Cognitive Processes, Psychological Patterns
Dae S. Hong; Jae Ki Lee – International Journal of Mathematical Education in Science and Technology, 2024
This study examined college calculus instructors' preferences in solving two calculus tasks to examine college calculus instructors' use of important cognitive roots in understanding derivatives of function. Our results showed that only one instructor consistently uses cognitive roots while other instructors either focus on algebraic methods or…
Descriptors: College Mathematics, Calculus, College Faculty, Teaching Methods
Murphy, Michelle Pauley; Hung, Woei – TechTrends: Linking Research and Practice to Improve Learning, 2023
One hundred years ago, Paul Weiss and Ludwig von Bertalanffy independently proposed that living organisms interact with their environment through systems. In the century that has followed, systems thinking and modeling have grown in tandem with discovery of the vast complexity of the universe at microscopic through astronomic levels. As our…
Descriptors: Systems Approach, Cognitive Processes, Artificial Intelligence, Learning Processes
Gregory J. Crowther; Victoria L. VanHeel; Sasha D. Gradwell; Casey J. Self; Krista L. Rompolski – Advances in Physiology Education, 2024
The field of anatomy is often seen by nonanatomists as concerned primarily with the tasks of locating, naming, and describing structures; these tasks, in turn, are often assumed to require only lower-order cognitive skills (LOCSs), i.e., the Knowledge or Comprehension levels of Bloom's taxonomy. Many nonanatomists may thus believe that studying…
Descriptors: Human Body, Anatomy, Science Process Skills, Educational Objectives
Schukajlow, Stanislaw; Kaiser, Gabriele; Stillman, Gloria – Mathematical Thinking and Learning: An International Journal, 2023
Mathematical modeling and applications are an important part of curriculum and considered to be important for students' current and future lives. In this contribution, we focus on mathematical modeling from a cognitive prospective. Following embedding the cognitive perspective within the discourse of mathematical modeling, we describe some of the…
Descriptors: Mathematics Instruction, Metacognition, Mathematical Models, Learning Activities
Richard Velasco; Dae S. Hong – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
In this study, we examined one experienced mathematician's class practices, with particular attention to cognitive model described in genetic decomposition. Our findings indicate that students only had limited opportunities to be familiar with the first three steps in genetic decomposition, which may potentially lead students to answer limit tasks…
Descriptors: Mathematics Education, Mathematical Concepts, Mathematics Skills, Mathematics Instruction
Robert Zheng – International Association for Development of the Information Society, 2024
The current examined the roles of cognitive strategies using Chi's framework in mobile learning. Three conditions (active, constructive, and interactive) were created for a college statistics I course where students were randomly assigned to each condition. The results indicate constructive and interactive support students' problem solving and…
Descriptors: Cognitive Processes, Creative Thinking, Telecommunications, Handheld Devices
Emily Amanda Mainzer – ProQuest LLC, 2024
This study examined the engagement of preservice elementary teachers (PSTs) with mathematics tasks that were open in various ways and to varying extents. In K-12 settings, practitioners who have implemented recently popular open tasks report increased engagement and from a wider variety of students. While these anecdotal reports and related…
Descriptors: Preservice Teachers, Elementary School Teachers, Learner Engagement, Mathematics Instruction
Julius Moritz Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: In example-based learning, examples are often combined with generative activities, such as comparative self-explanations of example cases. Comparisons induce heavy demands on working memory, especially in complex domains. Hence, only stronger learners may benefit from comparative self-explanations. While static text-based examples can…
Descriptors: Video Technology, Models, Cues, Problem Solving
Vegard Gjerde; Sivert Hagane – Physical Review Physics Education Research, 2024
Peer Instruction gives practice in the abstract language of physics, addresses common misconceptions among students, and is more effective than traditional lecturing. However, it is not clear what makes Peer Instruction effective nor how we might improve the method. An emerging perspective is that what makes Peer Instruction effective is how it…
Descriptors: Science Instruction, Peer Teaching, Scientific Concepts, Models
Tom Reshef-Israeli; Shulamit Kapon – Online Submission, 2024
As problems become increasingly complex, science educators need to better understand how new knowledge is constructed and applied in heterogeneous team collaborations, and how to teach students to productively engage in these processes. We discuss the emergence of insights in collaborative sensemaking and suggest a model that articulates the…
Descriptors: Comprehension, Constructivism (Learning), Teaching Methods, Learner Engagement
Xin Gong; Weiqi Xu; Shufan Yu; Jingjing Ma; Ailing Qiao – British Journal of Educational Technology, 2025
Tangible programming tools have become a mainstream teaching aid in gamification programming learning (GPL) due to their interactivity and ability to enhance novice learners' computational thinking and spatial reasoning skills. However, comparing the relative efficacy of different programming tools that simultaneously support these skills was not…
Descriptors: Computation, Thinking Skills, Spatial Ability, Gamification
Antje Boomgaarden; Katharina Loibl; Timo Leuders – Interactive Learning Environments, 2023
PS-I learning approaches with an initial problem-solving phase (PS) followed by an instruction phase (I) can be optimised by providing adaptive (individualised) instruction that builds on students' problem-solving products. A computer-based implementation of both phases offers the possibility of adaptivity at the transition from the…
Descriptors: Computer Assisted Instruction, Technology Uses in Education, Fractions, Educational Environment