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GeoGebra Augmented Reality: An Innovation in Improving Students' Mathematical Problem-Solving Skills
Meria Ultra Gusteti; Widdya Rahmalina; Suci Wulandari; Khairul Azmi; Asrina Mulyati; Rahmatul Hayati; Rana Gustina; Vifit Nor Cahyati – International Journal of Education in Mathematics, Science and Technology, 2025
This study aims to test the effectiveness of GeoGebra Augmented Reality in improving students' mathematical problem-solving skills. The method used is a quasi-experiment with a posttest-only control group design. The research population is students of the Mathematics Education Study Program at a private university in Indonesia, with a sample of 32…
Descriptors: Computer Software, Computer Simulation, Mathematics Instruction, Problem Solving
Boettcher, K.; Terkowsky, C.; Schade, M.; Brandner, D.; Grünendahl, S.; Pasaliu, B. – European Journal of Engineering Education, 2023
A newly-developed online laboratory experiment in immersive virtual reality (VR) is used for process engineering students. A digital twin (DT) of a jet pump was realised using the game engine Unreal Engine 4. The chance was taken for an instructional redesign deviating from the conventional cookbook-experiment to better integrate the changing…
Descriptors: Computer Simulation, Laboratories, Engineering Education, Problem Solving
Babier, Aaron; Fernandes, Craig; Zhu, Ian Yihang – INFORMS Transactions on Education, 2023
In this paper, we describe a course project in which teams of undergraduate students propose and execute an end-to-end analytics project to solve a real-world problem. The project challenges students to implement machine learning, optimization, simulation, or a combination of these three techniques on real-world data that they collect. A…
Descriptors: Undergraduate Students, Student Projects, Data Analysis, Problem Solving
Yanyan Sun; Chengjun Feng; Di Peng; Bian Wu – Journal of Computer Assisted Learning, 2024
Background: Both learning and problem solving are major goals of complex problem solving in engineering education. The order of knowledge construction and problem solving in learning through problem solving, however, has not been explained in current literature. Objectives: To understand their relationships, this study compared the effects of…
Descriptors: Goal Orientation, Active Learning, Inquiry, Engineering Education
Cipparrone, Flavio A. M.; Consonni, Denise – IEEE Transactions on Education, 2022
Contribution: Two general rules for calculating, in the time domain, step discontinuities of voltages and currents in electric circuits, combining physical principles and basic mathematical treatment. The two general rules, resulting from a formal method of analysis, provide a straightforward way to update the states of a circuit, immediately…
Descriptors: Computation, Electronic Equipment, Time, Simulation
Qiang Fu; Li Liu; Guofu Wang; Jing Yu; Shiyuan Fu – Journal of Chemical Education, 2023
Commonly used methods to simulate the oxidation-reduction (redox) titration curves include the three-step method and the rigorous method. The simple three-step method simulates the redox titration curve with the assumption that the reaction is complete, which is widely used in undergraduate quantitative analysis courses. For the rigorous…
Descriptors: Chemistry, Simulation, College Science, Undergraduate Students
Vincenti, Giovanni – Informatics in Education, 2022
Preparing students for the workforce is a balancing act that involves theory, practice, and assessment. As students navigate an educational experience that is, however, often distant from real-world needs, it is imperative that academia finds a novel way to bridge the gap. As many organizations utilize open challenges to attract ideas and talent,…
Descriptors: Undergraduate Students, Active Learning, Student Projects, Problem Solving
Çini, Ahsen; Järvelä, Sanna; Dindar, Muhterem; Malmberg, Jonna – Metacognition and Learning, 2023
Metacognitive awareness is knowing about learners' own thinking and learning, facilitated by introspection and self-evaluation. Although metacognitive functions are personal, they cannot be explained simply by individual conceptions, especially in a collaborative group learning context. This study considers metacognitive awareness on multiple…
Descriptors: Metacognition, Video Technology, Measures (Individuals), Problem Solving
Lisa Stark; Andreas Korbach; Roland Brünken; Babette Park – Journal of Computer Assisted Learning, 2024
Background: Both learning and problem solving are major goals of complex problem solving in engineering education. The order of knowledge construction and problem solving in learning through problem solving, however, has not been explained in current literature. Objectives: To understand their relationships, this study compared the effects of…
Descriptors: Metacognition, Multimedia Instruction, Multimedia Materials, Eye Movements
Yang, Weishu; Lahti, Henna; Seitamaa-Hakkarainen, Pirita – Design and Technology Education, 2022
In collaborative design settings, designers communicate and explicate their ideas visually and verbally in order to reach a shared understanding. The verbal exchanges of group members engaged in a joint design task provide rich data regarding the design activities being undertaken by the group members. In addition, sketching and modelling are…
Descriptors: Computer Simulation, Design, Innovation, Cooperative Learning
Huang, Yueh-Min; Silitonga, Lusia M.; Murti, Astrid T.; Wu, Ting-Ting – Journal of Educational Computing Research, 2023
Higher-order thinking skills (HOTS) are reliable predictors of success in school and the workplace. A typical technique for encouraging higher-order thinking is to use instructional design interventions that engage learners in simple cognitive activities. Business simulation game (BSG) is one of the types of interactive learning environments that…
Descriptors: Learner Engagement, Undergraduate Students, Business Administration Education, Educational Games
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
Ross, Jenifer M.; Wright, Lauri; Arikawa, Andrea Y. – Online Learning, 2021
Due to the COVID-19 emergency transition to remote learning, an undergraduate class in nutrition and dietetics modified a face-to-face experiential "escape room" assignment into a comparable online experience. The online assignment was structured so that students had to use knowledge and clues to move through each step of the Nutrition…
Descriptors: COVID-19, Pandemics, Simulation, Electronic Learning
Li, Shan; Zheng, Juan; Lajoie, Susanne P. – Educational Technology & Society, 2022
Examining the sequential patterns of self-regulated learning (SRL) behaviors is gaining popularity to understand students' performance differences. However, few studies have looked at the transition probabilities among different SRL behaviors. Moreover, there is a lack of research investigating the temporal structures of students' SRL behaviors…
Descriptors: Problem Solving, Intelligent Tutoring Systems, Metacognition, Sequential Approach
Magana, Alejandra J.; Vieira, Camilo; Fennell, Hayden W.; Roy, Anindya; Falk, Michael L. – Cognition and Instruction, 2020
Modeling is an important element of discovery and design processes because it can help individuals to comprehend and facilitate solutions to problems, mediate among mental and external representations, and off-load cognitive demands. However, engaging in model generation, comprehension, and transformation requires the orchestration of domain…
Descriptors: Undergraduate Students, Problem Solving, Barriers, Simulation