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Aqlan, Faisal; Zhao, Richard – IEEE Transactions on Education, 2022
Contribution: This article discusses the use of manufacturing simulation games to study collaborative problem-solving skills in engineering students. The simulation represents the mass production paradigm in which large quantities of identical products are produced. Empirical data is collected from the simulation to evaluate the skills engineering…
Descriptors: Manufacturing, Computer Simulation, Teaching Methods, Problem Solving
Kyungbin Kwon; Thomas A. Brush; Keunjae Kim; Minhwi Seo – Journal of Educational Computing Research, 2025
This study examined the effects of embodied learning experiences on students' understanding of computational thinking (CT) concepts and their ability to solve CT problems. In a mixed-reality learning environment, students mapped CT concepts, such as sequencing and loops, onto their bodily movements. These movements were later applied to robot…
Descriptors: Thinking Skills, Computer Science Education, Robotics, Programming
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
Kwon, Yeil; Sahin, Nesrin – International Society for Technology, Education, and Science, 2021
Probability is generally considered one of the most challenging areas to teach in mathematics education due to its intricate nature. However, the simulation-based teaching method can increase students' accessibility significantly to the probability problems because it enables students to resolve the problems with minimal mathematical skills. By…
Descriptors: Probability, Mathematics Instruction, Difficulty Level, Teaching Methods
Wang, Cixiao; Wang, Jingxin; Shi, Zhu; Wu, Feng – Interactive Learning Environments, 2023
Digital instructional tools, such as virtual manipulatives, have been widely adopted as an enhanced approach to inquiry-based learning. However, the optimal ratio of mobile devices to students in instructional settings remain controversial. This research introduced a counterbalanced quasi-experiment to compare the learning performance and…
Descriptors: Comparative Analysis, Science Education, Inquiry, Active Learning
Rajiv Satsangi; Stephanie D. Sigmon – Remedial and Special Education, 2024
Whole number computations are a critical skill that serves as a foundation upon which higher-order concepts in mathematics are taught to children. To facilitate their instruction, educators often use multiple representations to support a child's cognition. Representations with physical manipulatives are widely studied through a graduated…
Descriptors: Multiplication, Thinking Skills, Elementary School Students, Learning Problems
Hunter, Kevin H.; Rodriguez, Jon-Marc G.; Becker, Nicole M. – Chemistry Education Research and Practice, 2021
Beyond students' ability to manipulate variables and solve problems, chemistry instructors are also interested in students developing a deeper conceptual understanding of chemistry, that is, engaging in the process of sensemaking. The concept of sensemaking transcends problem-solving and focuses on students recognizing a gap in knowledge and…
Descriptors: Chemistry, Science Process Skills, Problem Solving, Comprehension
Daniel Elford; Garth A. Jones; Simon J. Lancaster – Chemistry Education Research and Practice, 2024
Peer Instruction (PI), a student-centred teaching method, engages students during class through structured, frequent questioning, facilitated by classroom response systems. The central feature of PI is the ConcepTest, a question designed to help resolve student misconceptions around the subject content. Within our coordination chemistry PI…
Descriptors: Chemistry, Science Instruction, Teaching Methods, Computer Simulation
Saudelli, Mary Gene; Kleiv, Robin; Davies, Jessica; Jungmark, Martin; Mueller, Rebecca – Brock Education: A Journal of Educational Research and Practice, 2021
Simulation educational technologies provide a convenient way to augment classroom learning in higher education. The University of Colorado Boulder has created many Physics Education Technology (PhET) computer simulations relevant to concepts in Sciences and Mathematics. There is a notable gap in the literature of simulation-based technologies,…
Descriptors: College Science, Undergraduate Study, Science Instruction, Physics
Richter, Juliane; Lachner, Andreas; Jacob, Leonie; Bilgenroth, Friederike; Scheiter, Katharina – Journal of Computer Assisted Learning, 2022
Background: Engaging students in computer-assisted guided inquiry learning has great potential to scaffold their scientific understanding: Students are expected to improve their scientific problem-solving skills, and at the same time gain a deep conceptual understanding of the subject-matter. Additional generative activities such as creating video…
Descriptors: Self Concept, Problem Solving, Video Technology, Computer Assisted Instruction
Wirjawan, Johannes V. D.; Pratama, Daniel; Pratidhina, Elisabeth; Wijaya, Anthony; Untung, Budijanto; Herwinarso – International Journal of Instruction, 2020
One popular advanced technology nowadays is smartphone. Smartphones allow various functions beyond the traditional function of mobile phones as communication devices. The technology in smartphones has potential applications in many areas including education. In this study, we report our research which aims to: (1) produce a smartphone app as media…
Descriptors: Telecommunications, Handheld Devices, High School Students, Instructional Effectiveness
Bajwa, Neet Priya; Perry, Michelle – Mathematical Thinking and Learning: An International Journal, 2021
Elementary school students struggle in interpreting the equal sign as a symbol denoting equivalence. Although many have advocated using a pan-balance scale to help students develop this understanding, less is known about what features associated with this model support learning. To attempt to control and examine these features, the investigators…
Descriptors: Mathematics Skills, Mathematics Instruction, Elementary School Students, Concept Formation
Cocea, Mihaela; Magoulas, George D. – IEEE Transactions on Learning Technologies, 2017
Exploratory learning environments (ELEs) promote a view of learning that encourages students to construct and/or explore models and observe the effects of modifying their parameters. The freedom given to learners in this exploration context leads to a variety of learner approaches for constructing models and makes modelling of learner behavior a…
Descriptors: Generalization, Mathematics Instruction, Computer Simulation, Discovery Learning
Girija, C. – Educational Research and Reviews, 2014
The simulation of human mind often helps in the understanding of abstract concept by representing it in a realistic model and simplistic way so that a learner develops an understanding of the key concepts. Bian (1873) and James (1890) in their work suggested that thoughts and body activity result from interactions among neurons within the brain.…
Descriptors: Simulation, Human Body, Brain, Problem Solving
Strayer, Jeremy; Matuszewski, Amber – Mathematics Teacher, 2016
In this article, Strayer and Matuszewski present a six-phase strategy that teachers can use to help students develop a conceptual understanding of inferential hypothesis testing through simulation. As Strayer and Matuszewski discuss the strategy, they describe each phase in general, explain how they implemented the phase while teaching their…
Descriptors: Mathematics Instruction, Teaching Methods, Hypothesis Testing, Simulation