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Harikesh Singh; Li-Minn Ang; Dipak Paudyal; Mauricio Acuna; Prashant Kumar Srivastava; Sanjeev Kumar Srivastava – Technology, Knowledge and Learning, 2025
Wildfires pose significant environmental threats in Australia, impacting ecosystems, human lives, and property. This review article provides a comprehensive analysis of various empirical and dynamic wildfire simulators alongside machine learning (ML) techniques employed for wildfire prediction in Australia. The study examines the effectiveness of…
Descriptors: Artificial Intelligence, Computer Software, Computer Simulation, Prediction
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Josefina Ventre; Agustina L. Renna; Francisco J. Ibañez – Journal of Chemical Education, 2023
It is crucial nowadays to predict in a fast and simple manner physical-chemical behaviors like, the size-dependent optical properties of gold nanospheres (Au NSs). The idea behind this experiment is trying to replace (as much as possible) robust and expensive microscopy techniques with UV-vis spectrophotometry and friendly simulations. Students…
Descriptors: Chemistry, Prediction, Science Experiments, Spectroscopy
Echeverri Jimenez, Emmanuel Iamsun – ProQuest LLC, 2022
At the molecular level, chemical processes involve the rearrangement of atoms in space and time. Students often struggle with visualizing the 3D spatial characteristics of molecules and transition states, as well as recognizing the dynamic nature of chemistry. Both visual spatial skills and representational competence should be explicitly trained…
Descriptors: Computer Simulation, Educational Environment, Prediction, Spatial Ability
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Wolf, Mark E.; Norris, J. Widener; Fynewever, Herb; Turney, Justin M.; Schaefer, Henry F., III – Journal of Chemical Education, 2022
Over the past half century, computational chemistry has evolved from a niche field to a ubiquitous pillar of modern chemical research. Driven by the increased demand for computational chemistry in research settings, the undergraduate curriculum has evolved alongside to ensure that students are well-equipped for modern research. Toward this end,…
Descriptors: Science Instruction, Science Laboratories, Chemistry, Computer Simulation
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Lupker, Stephen J.; Spinelli, Giacomo; Davis, Colin J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
A word's exterior letters, particularly its initial letter, appear to have a special status when reading. Therefore, most orthographic coding models incorporate assumptions giving initial letters and, in some cases, final letters, enhanced importance during the orthographic coding process. In the present article, 3 masked priming experiments were…
Descriptors: Alphabets, Reading Processes, Priming, Decision Making
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PaaBen, Benjamin; Bertsch, Andreas; Langer-Fischer, Katharina; Rüdian, Sylvio; Wang, Xia; Sinha, Rupali; Kuzilek, Jakub; Britsch, Stefan; Pinkwart, Niels – International Educational Data Mining Society, 2021
Many modern anatomy curricula teach histology using virtual microscopes, where students inspect tissue slices in a computer program (e.g. a web browser). However, the educational data mining (EDM) potential of these virtual microscopes remains under-utilized. In this paper, we use EDM techniques to investigate three research questions on a virtual…
Descriptors: Anatomy, Science Instruction, Computer Simulation, Computer Software
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Vanderveen, Jesse R.; Jessop, Philip G. – Journal of Chemical Education, 2021
Selecting less hazardous chemicals is a core tenet of green chemistry but is difficult to teach in practice. The upper-year undergraduate or graduate level exercise described here empowers students to make such decisions themselves. Students are tasked with finding the greenest chemical for a specific purpose described in a hypothetical scenario,…
Descriptors: Teaching Methods, Decision Making, Chemistry, Hazardous Materials
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Khemlani, Sangeet S.; Byrne, Ruth M. J.; Johnson-Laird, Philip N. – Cognitive Science, 2018
This article presents a fundamental advance in the theory of mental models as an explanation of reasoning about facts, possibilities, and probabilities. It postulates that the meanings of compound assertions, such as conditionals ("if") and disjunctions ("or"), unlike those in logic, refer to conjunctions of epistemic…
Descriptors: Form Classes (Languages), Schemata (Cognition), Inferences, Prediction
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Angolia, Mark G.; Pagliari, Leslie R. – Decision Sciences Journal of Innovative Education, 2018
This teaching brief describes a three-echelon supply chain simulation that involves complex decision making in a dynamic environment. Using a team-based logistics simulation operating on a live commercial-software application (SAP ERP) as a foundation, a supplemental exercise is proposed for deeper learning of transportation and logistics aspects…
Descriptors: Experiential Learning, Supply and Demand, Information Management, Simulation
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Chen, Binglin; West, Matthew; Ziles, Craig – International Educational Data Mining Society, 2018
This paper attempts to quantify the accuracy limit of "nextitem-correct" prediction by using numerical optimization to estimate the student's probability of getting each question correct given a complete sequence of item responses. This optimization is performed without an explicit parameterized model of student behavior, but with the…
Descriptors: Accuracy, Probability, Student Behavior, Test Items
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Starrett, Michael J.; Stokes, Jared D.; Huffman, Derek J.; Ferrer, Emilio; Ekstrom, Arne D. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
An important question regards how we use environmental boundaries to anchor spatial representations during navigation. Behavioral and neurophysiological models appear to provide conflicting predictions, and this question has been difficult to answer because of technical challenges with testing navigation in novel, large-scale, realistic spatial…
Descriptors: Spatial Ability, Computer Simulation, Prediction, Structural Equation Models
Bergo, Rolv Alexander – ProQuest LLC, 2013
Technology development is moving rapidly and our dependence on information services is growing. Building a broadband infrastructure that can support future demand and change is therefore critical to social, political, economic and technological developments. It is often up to local policy makers to find the best solutions to support this demand…
Descriptors: Delphi Technique, Computer Simulation, Computer Software, Prediction
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Rodrigues, R.; Carvalho, P. Simeão – Physics Education, 2014
In this paper we show an example of how to use a computational simulation to obtain visual feedback for students' mental models, and compare their predictions with the simulated system's behaviour. Additionally, we use the computational simulation to incrementally modify the students' mental models in order to accommodate new data,…
Descriptors: Feedback (Response), Science Instruction, Physics, Cognitive Structures
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Howe, Christine; Devine, Amy; Tavares, Joana Taylor – International Journal of Science Education, 2013
When students reason during school science, they often refer to conceptions that are derived from out-of-school experiences and are poor proxies for science orthodoxy. However, for some areas of science, these conceptions represent only a proportion of students' full conceptual knowledge, for tacit understanding exists that is superior to the…
Descriptors: Science Instruction, Concept Formation, Abstract Reasoning, Computer Software
English, Lyn; Watson, Jane – Mathematics Education Research Group of Australasia, 2014
Students explored variation and expectation in a probability activity at the end of the first year of a 3-year longitudinal study across grades 4-6. The activity involved experiments in tossing coins both manually and with simulation using the graphing software, "TinkerPlots." Initial responses indicated that the students were aware of…
Descriptors: Foreign Countries, Elementary School Mathematics, Elementary School Students, Grade 4
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