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Systematic thinking fostered by illustrations in scientific text

Richard E. Mayer
1989 Journal of Educational Psychology  
Results support a model of meaningful learning in which illustrations can help readers to focus their attention on explanative information in text and to reorganize the information into useful mental models  ...  solving transfer but not on verbatim recognition as compared to control groups.  ...  Explanative Text The first prerequisite for meaningful learning is that the tobe-learned material is potentially meaningful.  ... 
doi:10.1037/0022-0663.81.2.240 fatcat:46xs6rnt7jgehmkmnzduyz2ecu

The Influence of Guided Inquiry Student Worksheet on Learning Outcomes and Science Process Skill on the Static Fluid Topic

Ryna Aulia Falamy, Agus Suyatna, Ismu Wahyudi
2017 Omega Jurnal Fisika dan Pendidikan Fisika  
The average learning outcomes in cognitive domain of 85.24 and the improved learning outcomes with N-gain 0.81.  ...  This research method was true experiment, with a sample grade of VIII H as a control class and VIII J as an experimental class, determined by purposive sampling technique.  ...  The learning process lasted for 3 times lesson for class VIII H as a control class that apply learning using student worksheet which is commonly used in school and 3 times lesson for class VIII J as experiment  ... 
doi:10.31758/omegajphysphyseduc.v3i2.35 fatcat:hxqqaaehyfdfvi5yavgnlrkqvm

Contextual Learning Module Based on Multiple Representations: The Influence on Students' Concept Understanding

Ummul Uslima, Chandra Ertikanto, Undang Rosidin
2018 Tadris: Jurnal Keguruan dan Ilmu Tarbiyah  
This study aims to describe the effect of using contextual learning module based on multiple representations of static fluid material toward students' conceptual understanding.  ...  Contextual learning modules based on multiple representations can improve students' conceptual understanding.  ...  The material was only delivered verbally and mathematically, especially for static fluid material.  ... 
doi:10.24042/tadris.v3i1.2534 fatcat:lehmr6yr25bczh5ocgpxsp3fwa


Natalia Muñoz-Rujas, Fatima Ezzahrae M'Hamdi Alaoui, María Jesús González Fernández, Jesús Ángel Meneses Villagrá, Eduardo Atanasio Montero García
2021 Educação: Teorias, Métodos e Perspectivas Vol II  
necessarily lead to meaningful student learning.  ...  denominations (presents a meaningful learning experience in an experimental volumetric fluid behaviour session in the teaching of Engineering Thermodynamics.  ... 
doi:10.37572/edart_18042131614 fatcat:braqbdyvzrhrzmvjr5gt2tvwou

Study the Impact of Merrill's First Principles of Instruction on Students' Creativity

Mehrdad Jalilehvand
2016 Mediterranean Journal of Social Sciences  
The results showed that there was a meaningful difference between the creativity level of experimental group and control group.  ...  Method of research was as follows: "chapter 5 of the biology lesson was taught for the experimental group based on the Merrill's first principles of instruction and the control group was taught by the  ...  The test has 60 three choices questions for four subtests fluid, expansion, innovation and flexibility.  ... 
doi:10.5901/mjss.2016.v7n2p313 fatcat:rshx4e2ro5a6vihoyazm4yjrvm

Intelligence-Based Educational Package on Fluid Mechanics [chapter]

KwokWing Chau
2005 Lecture Notes in Computer Science  
This paper depicts the development and implementation of an interactive teaching package on learning of basic fluid mechanics with a knowledge-based system approach.  ...  Hence, it demands some innovative learning methodologies to help arouse their interest.  ...  It is towards this direction that the present study goes for extensive knowledge base for teaching and learning of fluid mechanics.  ... 
doi:10.1007/11553939_107 fatcat:6f22dbew3bcgpjprq23icqt3jm

A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction [chapter]

Yeeleng S. Vang, Yingxin Cao, Xiaohui Xie
2019 Lecture Notes in Computer Science  
We train a convolutional neural network to compress the high dimensional MRI data and learn meaningful image features by predicting the 123 continuous-valued derived data provided with each MRI.  ...  Our approach achieved mean square error (MSE) scores of 18.4374, 68.7868, and 96.1806 for the training, validation, and test set respectively.  ...  This necessitates first compressing these original MRIs to a more compact representation while preserving meaningful features before learning a regression model.  ... 
doi:10.1007/978-3-030-31901-4_1 fatcat:fuknspmndzay3oqchyghjaarcq

Neuropsychological effects of shunting in iNPH – determining major and minor responses

Maria Wallin, Mats Tullberg, Carsten Wikkelsö, Per Hellström
2015 Fluids and Barriers of the CNS  
Statistically reliable and meaningful changes in learning and dexterity can not be predicted from demography, severity in other iNPH symptoms or CSF dynamics.  ...  For learning and dexterity, neither demographic, nor clinical or CSF dynamics predicted changes following treatment.  ... 
doi:10.1186/2045-8118-12-s1-o53 pmcid:PMC4582256 fatcat:v4uvdqk2srcsbptg2gynboqpzu

Real Examples based Natural Phenomena Synthesis

HyangA An, Yong-Ho Seo, Jinho Park
2013 International journal of advanced smart convergence  
The ultimate goal of this project is to obtain information of flow example, analyze an example through machine learning and the novel fluid animation reconfigure without physical simulation.  ...  Current physics-based simulation is an important tool in the fluid animation. However some problems require a new change to current research trends which depend only on the simulation.  ...  OUR METHOD As machine learning target, the vector potential [2] for the example velocity field is used. Learning the example velocity field is basic approach.  ... 
doi:10.7236/ijasc2013.2.2.2 fatcat:jtefvnlz5bhcnontnozookqmf4

Reasoning Abilities and Learning Math: A Möbius Strip?

Luciana Pereira Brito, Leandro Silva Almeida, António José Meneses Osório
2019 IEJME-Mathematics Education  
General considerations about designing and implementing meaningful learning experiences are presented.  ...  learning and achievement.  ...  ., 2017) , conceptualizes fluid reasoning as a scaffold for learning: it refers to mental operations of reasoning in new situations, whose resolution does not depend on acquired knowledge.  ... 
doi:10.29333/iejme/6259 fatcat:6wlbq6b2ibgr3klkzcthoqfztq

Enhancing teaching and learning of fluid mechanics with interactive computational modelling

R G Neves
2019 Journal of Physics, Conference Series  
The results also show that students considered Modellus a useful software for computational activities that help the learning of mathematical physics models, sufficiently easy to learn and user-friendly  ...  In this paper we describe research concerning a sequence of activities about hydrostatic pressure forces and torques, a theme of an introductory fluid mechanics course for undergraduate university engineering  ...  The introductory fluid mechanics course was the first part of a Fluids and Thermodynamics course we taught to a class of 150 students from university majors in automation and control engineering, chemical  ... 
doi:10.1088/1742-6596/1286/1/012047 fatcat:ca3fe6ycgzal5cme7fmbyain4i

Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids [article]

Yunzhu Li, Jiajun Wu, Russ Tedrake, Joshua B. Tenenbaum, Antonio Torralba
2019 arXiv   pre-print
In this paper, we propose to learn a particle-based simulator for complex control tasks.  ...  Our study helps lay the foundation for robot learning of dynamic scenes with particle-based representations.  ...  For the initial fluid cuboid, the number of fluid particles is uniformly sampled between 10 and 12 in the x direction, between 15 and 20 in the y direction, 3 in the z direction.  ... 
arXiv:1810.01566v2 fatcat:sy3magkmsvfgfmylwq5fzrm53y

Models for Understanding

Richard E. Mayer
1989 Review of Educational Research  
One promising instructional technique for improving students' understanding of scientific explanations is the use of conceptual models.  ...  Figure 4 summarizes the conditions for building meaningful learning outcomes.  ...  Figure 3 shows an information processing model for describing meaningful learning processes.  ... 
doi:10.3102/00346543059001043 fatcat:lwwcpzp2nzf4lm2b46du5tyyqi

Models for Understanding

Richard E. Mayer
1989 Review of Educational Research  
One promising instructional technique for improving students' understanding of scientific explanations is the use of conceptual models.  ...  Figure 4 summarizes the conditions for building meaningful learning outcomes.  ...  Figure 3 shows an information processing model for describing meaningful learning processes.  ... 
doi:10.2307/1170446 fatcat:5xnawo3borczhcmhy3op3jqpfu

Adaptive Control for Human-Robot Skilltransfer: Trajectory Planning Based on Fluid Dynamics

H. Mayer, I. Nagy, A. Knoll, E.U. Braun, R. Lange, R. Bauernschmitt
2007 Engineering of Complex Computer Systems (ICECCS), Proceedings of the IEEE International Conference on  
A popular method for an easy and also flexible programming of robots is learning by demonstration. An intelligent controller learns a task from several examples carried out by an experienced user.  ...  In this paper a new methodology for solving this problem is proposed. The main part of the algorithm exploits principles known from fluid dynamics.  ...  I.e. we can directly control our robots with positions from fluid simulation. III.  ... 
doi:10.1109/robot.2007.363583 dblp:conf/icra/MayerNKBLB07 fatcat:6g7yblcuwjg33bhycb6ns5zxde
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