Search results for "learning"

showing 10 items of 6669 documents

The Uniqueness of Teaching and Learning Chemistry

2009

Unfortunately, the current perception of Chemistry held by many students and the general public alike appears to be in stark contrast to its true nature. Although chemistry is ubiquitous in all aspects of our daily lives it continues to be perceived as highly theoretical and of little relevance. A clearer understanding of the fundamental Nature of Chemistry will be needed if students are to recognize its true importance and character. It is not possible to fully understand, and as a consequence accept on an intuitive basis, the 'mystery' and fascinations arising from the transformation of matter, without first adopting a convincing sub-microscopic view, able to connect observed macroscopic …

Chemistry LearningECTNCHEMISTRYMICROSCOPIC APPROACHEDUCATIONHigher EducationSettore CHIM/02 - Chimica Fisica
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Mapping the Teaching of History of Chemistry in Europe

2016

Recent developments in the field of history of chemistry have introduced new topics, challenges, and connections to a broad range of scientific, political, cultural, economic, and environmental issues. New audiences for the history of chemistry have emerged along with new topics, protagonists, spaces, and historical narratives. This paper summarizes the main results of a recent survey to map the current situation of the teaching of history of chemistry in Europe. We review how and where history of chemistry is taught in Europe, considering not only graduate students in science programs, but also other audiences such as science teachers, and the general public. This paper also provides updat…

Chemistry education010405 organic chemistryConcept map05 social sciences050301 educationGeneral ChemistryHistory of ideas01 natural sciences0104 chemical sciencesEducationPoliticsConstructivism (philosophy of education)Learning theoryEngineering ethicsNarrativeChemistry (relationship)0503 educationJournal of Chemical Education
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Modeller i kjemiundervisning - et eksempel på hvordan de kan bidra til læring og feillæring

2021

We discuss the use of analogical models in science education using examples from online learning resources.  We have conducted a teaching program for a group of 7th grade pupils and a group of science teacher students, and the main theme of this program is the use of models in chemistry. Specifically, we study the effect of an analogical model that is designed to promote understanding of the properties of molecules, related to a paper chromatography experiment. Our research indicates that analogical models can be a useful tool to convey understanding of abstract concepts and non-visible phenomena, but they hold serious pitfalls that can lead to misunderstandings amongst students if not used…

Chemistry educationAnalogical modelsOnline learningmedia_common.quotation_subjectMODELLERScience educationEducationComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationConversationChemistry (relationship)Psychologymedia_commonTheme (narrative)Nordic Studies in Science Education
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Testing <em>Drosophila</em> Olfaction with a Y-maze Assay

2014

Detecting signals from the environment is essential for animals to ensure their survival. To this aim, they use environmental cues such as vision, mechanoreception, hearing, and chemoperception through taste, via direct contact or through olfaction, which represents the response to a volatile molecule acting at longer range. Volatile chemical molecules are very important signals for most animals in the detection of danger, a source of food, or to communicate between individuals. Drosophila melanogaster is one of the most common biological models for scientists to explore the cellular and molecular basis of olfaction. In order to highlight olfactory abilities of this small insect, we describ…

ChemoperceptionGeneral Immunology and MicrobiologybiologyGeneral Chemical EngineeringGeneral NeuroscienceMaze learningOlfactionDrosophila melanogasterbiology.organism_classificationDrosophilaSensory cueNeuroscienceGeneral Biochemistry Genetics and Molecular BiologyJournal of Visualized Experiments
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Using Chinese in China - challenges and opportunities : a case study of three Finnish sojourners

2016

Despite the growing attention on interaction between language learners/sojourners and host community, there has been little research on second language (L2) using experience by adopting case study approach, by which each individual’s voice is valued. Grounded in sociocultural theory (SCT), the present study explores challenges and opportunities of international sojourners when they use Chinese in China by investigating three Finnish sojourners’ experiences in using Chinese. Coleman’s concentric circles model is adopted to illustrate sojourners’ different language choices and reasons with compatriots, international people and host community. Narratives and interview data are analyzed and dis…

Chinese L2 learningsociocultural theoryKiinaagencyopiskelukulttuurierotChinese L2 useresidence abroadTapaustutkimuskiinan kielityö
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Project-based learning in the Chinese heritage language course/class in Finnish comprehensive education

2023

With the trend of global mobility and immigration, the Finnish government has been promoting integration and multiculturality since 1990. According to the Finnish National Agency for Education (FNAE), Heritage Language (oma äidinkieli) lessons aim to protect and develop immigrant students’ competencies in their heritage languages and cultures. This article shares a pilot 4-week PBL (Project-based Learning) module for a group of advanced Chinese language learners. It discusses the opportunities and challenges during the PBL and suggests possible improvements. nonPeerReviewed

Chinese as a heritage languagekieltenopetusheritage language teachingprojektioppiminenproject-based learning (PBL)Finland Suomi Chineseäidinkielikiinan kieli
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Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion

2020

Miniaturized hyperspectral imaging techniques have developed rapidly in recent years and have become widely available for different applications. Combining calibrated hyperspectral imagery with inverse physically based reflectance models is an interesting approach for estimating chlorophyll concentrations that are good indicators of vegetation health. The objective of this study was to develop a novel approach for retrieving chlorophyll a and b values from remotely sensed data by inverting the stochastic model of leaf optical properties using a one-dimensional convolutional neural network. The inversion results and retrieved values are validated in two ways: A classical machine learning val…

Chlorophyll boptical propertiesChlorophyll aklorofylli010504 meteorology & atmospheric sciencesCorrelation coefficientStochastic modelling0211 other engineering and technologiesconvolutional neural network02 engineering and technologyneuroverkotoptiset ominaisuudet01 natural sciencesConvolutional neural networkchemistry.chemical_compoundchlorophylllcsh:Scienceoptical properties; convolutional neural network; deep learning; chlorophyll; stochastic modeling; physical parameter retrieval; forestry021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensingstokastiset prosessitbusiness.industryDeep learningspektrikuvausforestryHyperspectral imagingdeep learningmetsänarviointikoneoppiminenchemistryChlorophyllGeneral Earth and Planetary Scienceslcsh:QArtificial intelligencekaukokartoitusmetsänhoitobusinessphysical parameter retrievalstochastic modelingRemote Sensing; Volume 12; Issue 2; Pages: 283
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A computer program suitable for analysis of choice of categories in biomedical data recognition problems.

1980

The optimum choice of categories in problems of medical data recognition is governed by the choice of categories, the selection of appropriate features, and by the choice of a loss function. Under these circumstances it is often difficult to find out the suitable classification scheme. The computer program described here serves for the design of the optimum recognition procedure. The Bayes rule is used as decision rule. A criterion for the comparison of different choice of categories is given. The program can be performed after estimation of the underlying prior probabilities and the conditional densities obtained from a training set, and before testing the decision rule with real data.

Choice setComputer programComputer sciencebusiness.industryComputersDecision theoryMedicine (miscellaneous)Decision ruleFunction (mathematics)Machine learningcomputer.software_genreClassificationBayes' theoremDecision TheoryBiomedical dataResearch DesignData miningArtificial intelligencebusinesscomputerSelection (genetic algorithm)Computer programs in biomedicine
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An Optimized Design of Choice Experiments: A New Approach for Studying Decision Behavior in Choice Task Experiments

2014

In this paper, we present a new approach for the optimal experimental design problem of generating diagnostic choice tasks, where the respondent's decision strategy can be unambiguously deduced from the observed choice. In this new approach, we applied a genetic algorithm that creates a one-to-one correspondence between a set of predefined decision strategies and the alternatives of the choice task; it also manipulates the characteristics of the choice tasks. In addition, this new approach takes into account the measurement errors that can occur when the preferences of the decision makers are being measured. The proposed genetic algorithm is capable of generating diagnostic choice tasks eve…

Choice setOperationalizationSociology and Political Sciencebusiness.industryComputer scienceStrategy and ManagementGeneral Decision SciencesContrast (statistics)Space (commercial competition)Machine learningcomputer.software_genreTask (project management)Arts and Humanities (miscellaneous)Similarity (psychology)Genetic algorithmArtificial intelligenceSet (psychology)businesscomputerApplied PsychologyJournal of Behavioral Decision Making
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Allosteric modulation of nicotinic acetylcholine receptors as a treatment strategy for Alzheimer's disease

2000

The basic symptoms of Alzheimer's dementia, i.e., a loss in cognitive function, are due to impaired nicotinic cholinergic neurotransmission. To compensate for this impairment by drug treatment, blockers of the acetylcholine-degrading enzyme acetylcholinesterase are applied, even though this approach obviously is prone to many side-effects, including those of muscarinic nature. We have recently described a novel class of nicotinic acetylcholine receptor ligands which, similar to the action of benzodiazepines on GABA(A) receptors, allosterically potentiate submaximal nicotinic responses. The sensitizing effect is a consequence of facilitated channel opening in the presence of allosterically p…

Cholinergic AgentsReceptors NicotinicNeurotransmissionPharmacologyPC12 Cellschemistry.chemical_compoundCognitionAllosteric RegulationAlzheimer DiseaseMuscarinic acetylcholine receptormedicineAnimalsHumansLearningCells CulturedAcetylcholine receptorPharmacologyNeurotransmitter AgentsGalantamineAcetylcholinesteraseRatsNicotinic acetylcholine receptorNicotinic agonistchemistryCholinesterase InhibitorsAlpha-4 beta-2 nicotinic receptorNeuroscienceAcetylcholinemedicine.drugEuropean Journal of Pharmacology
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