Critiquing and Learning Model Structure

2015 ◽  
pp. 331-369
Author(s):  
Russell G. Almond ◽  
Robert J. Mislevy ◽  
Linda S. Steinberg ◽  
Duanli Yan ◽  
David M. Williamson
Keyword(s):  
Learning Model ◽  
Model Structure

scholarly journals Seeing Is Believing: Experimental Spin States from Machine Learning Model Structure Predictions

2020 ◽  
Vol 124 (16) ◽  
pp. 3286-3299 ◽  
Author(s):  
Michael G. Taylor ◽  
Tzuhsiung Yang ◽  
Sean Lin ◽  
Aditya Nandy ◽  
Jon Paul Janet ◽  
...  
Keyword(s):  
Machine Learning ◽  
Learning Model ◽  
Model Structure ◽  
Spin States ◽  
Machine Learning Model

Lattice imaging and pore structure of β ferric oxyhydroxide

1978 ◽  
Vol 36 (1) ◽  
pp. 264-265
Author(s):  
T. Baird ◽  
J.R. Fryer ◽  
S.T. Galbraith
Keyword(s):  
Electron Microscopy ◽  
Room Temperature ◽  
Bulk Material ◽  
Model Structure ◽  
Bulk Crystals ◽  
Lattice Imaging ◽  
Thin Sections ◽  
Ferric Oxyhydroxide ◽  
Resolution Electron ◽  
Hydrolysis Of

Introduction Previously we had suggested (l) that the striations observed in the pod shaped crystals of β FeOOH were an artefact of imaging in the electron microscope. Contrary to this adsorption measurements on bulk material had indicated the presence of some porosity and Gallagher (2) had proposed a model structure - based on the hollandite structure - showing the hollandite rods forming the sides of 30Å pores running the length of the crystal. Low resolution electron microscopy by Watson (3) on sectioned crystals embedded in methylmethacrylate had tended to support the existence of such pores.We have applied modern high resolution techniques to the bulk crystals and thin sections of them without confirming these earlier postulatesExperimental β FeOOH was prepared by room temperature hydrolysis of 0.01M solutions of FeCl3.6H2O, The precipitate was washed, dried in air, and embedded in Scandiplast resin. The sections were out on an LKB III Ultramicrotome to a thickness of about 500Å.

Upaya Meningkatkan Hasil Belajar IPA pada Materi Keseimbangan Ekosistem melalui Penerapan Model Contextual Teaching And Learning (CTL) Siswa Kelas VI SD Negeri 1 Manggeng

2020 ◽  
Vol 1 (3) ◽  
pp. 333-340
Author(s):  
Syarifah Roswan
Keyword(s):  
Learning Outcomes ◽  
Teaching And Learning ◽  
Student Learning Outcomes ◽  
Learning Outcome ◽  
Learning Model ◽  
Outcome Data ◽  
Contextual Teaching ◽  
Data Collection Technique ◽  
Written Test ◽  
Academic Year

The purpose of this study was to increase the learning outcomes of IPA in the Ecosystem Balance mate-rial through the application of the Contextual Teaching And Learning (CTL) learning model for class VI students of SD Negeri 1 Manggeng for the 2017/2018 academic year. The research methodology is Classroom Action Research (CAR) consisting of two cycles and each cycle consisting of two findings. Each cycle consists of planning, implementing, observing and reflecting. The data collection technique is to collect test scores that are carried out at the end of each lesson in each cycle using a question in-strument (written test). The learning outcome data were analyzed by means of percentage statistics. The results showed that the completeness of student learning outcomes increased from 66,67% in the first cycle and increased to 83,33% in the second cycle. The application of the Contextual Teaching And Learning (CTL) learning model can increase the learning outcomes of IPA in the Ecosystem Balance material of class VI SD Negeri 1 Manggeng for the 2017/2018 academic year

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