Search results for "methods [Cell Culture Techniques]"

showing 4 items of 54 documents

THE ALHAMBRA SURVEY: EVOLUTION OF GALAXY SPECTRAL SEGREGATION

2016

arXiv:1601.03668v1

statistical [Methods]Cosmology and Nongalactic Astrophysics (astro-ph.CO)Large-scale structure of universeFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesMethods statisticalGalaxies: distances and redshiftsMethods: data analysis0103 physical sciencesdistances and redshifts [Galaxies]observations [Cosmology]data analysis [Methods]010303 astronomy & astrophysicsMethods: statisticalAstrophysics::Galaxy AstrophysicsComputingMilieux_MISCELLANEOUSPhysics[PHYS]Physics [physics]010308 nuclear & particles physicsCosmology: observationsFísicaAstronomy and AstrophysicsAstrophysics - Astrophysics of GalaxiesGalaxySpace and Planetary ScienceAstrophysics of Galaxies (astro-ph.GA)[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]Astrophysics - Cosmology and Nongalactic Astrophysics
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Drawing Cartoon Strips as a Learning Tool in Fostering the Learning of Titration in Pre-service Chemistry Education

2021

In this study, static visual displays of titration created by the university-level pre-service chemistry education students was investigated. The aim for the students was to learn the theory of titrations, using self-prepared cartoon strips with supportive texts. Attention was paid to the titration cartoon strips students made which were suitable for both learning and teaching purposes. The basis of this study was students’ own drawings: students observed and visualized the titration process, and built their own representation of it. Simple models were created using pencil and paper. The goals were to determine how students regard the learning tool, how drawing cartoon strips helps their le…

teaching practiceskognitiiviset taidotpre-service teacher educationcognitive skillskemiaoppimistyylitvisualisointiComputingMilieux_COMPUTERSANDEDUCATIONopetusmenetelmätlearning stylesopettajankoulutusopetusteaching methods in science
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Problem Transformation Methods with Distance-Based Learning for Multi-Target Regression

2020

Multi-target regression is a special subset of supervised machine learning problems. Problem transformation methods are used in the field to improve the performance of basic methods. The purpose of this article is to test the use of recently popularized distance-based methods, the minimal learning machine (MLM) and the extreme minimal learning machine (EMLM), in problem transformation. The main advantage of the full data variants of these methods is the lack of any meta-parameter. The experimental results for the MLM and EMLM show promising potential, emphasizing the utility of the problem transformation especially with the EMLM. peerReviewed

the minimal learning machine (MLM) and the extreme minimal learning machine (EMLM)koneoppiminenemphasizing the utility of the problem transformation especially with the EMLM.Multi-target regression is a special subset of supervised machine learning problems. Problem transformation methods are used in the field to improve the performance of basic methods. The purpose of this article is to test the use of recently popularized distance-based methodsin problem transformation. The main advantage of the full data variants of these methods is the lack of any meta-parameter. The experimental results for the MLM and EMLM show promising potential
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Enhancing upper secondary students’ engagement and learning through the INTERACT online, video-based teacher coaching intervention : Protocol for a m…

2022

This protocol outlines a mixed-methods cluster randomized controlled trial (CRCT) in upper secondary schools that will investigate how video-based online coaching can support teachers’ competences in teacher-student interactions (TSIs) and thereby improve student engagement and learning. The intervention will take place over a school year with at least 100 teachers and 2,000 of their students. During the implementation and one-year follow-up, we will conduct an extensive implementation and process evaluation (IPE) to understand the intervention's effects on TSI and student engagement and learning outcomes. This protocol outlines the background, design, intervention, and primary and secondar…

utdanningsvitenskapTeacher-student interactionstoisen asteen koulutusverkko-ohjausopettajatsosiaalinen vuorovaikutussatunnaistetut vertailukokeetEducationStudent engagementammatillinen kehitys:Samfunnsvitenskap: 200::Pedagogiske fag: 280 [VDP]Study protocolopettaja-oppilassuhdeMixed-methods cluster RCT
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