Search results for "Application"

showing 10 items of 5559 documents

Utilizing Multimodal Data Through fsQCA to Explain Engagement in Adaptive Learning

2020

Investigating and explaining the patterns of learners’ engagement in adaptive learning conditions is a core issue towards improving the quality of personalized learning services. This article collects learner data from multiple sources during an adaptive learning activity, and employs a fuzzy set qualitative comparative analysis (fsQCA) approach to shed light to learners’ engagement patterns, with respect to their learning performance. Specifically, this article measures and codes learners’ engagement by fusing and compiling clickstreams (e.g., response time), physiological data (e.g., eye-tracking, electroencephalography, electrodermal activity), and survey data (e.g., goal-orientation) to…

Goal orientationQualitative comparative analysisComputer science05 social sciencesGeneral Engineering050301 educationPersonalized learningVariance (accounting)Computer Science ApplicationsEducationEmpirical research0502 economics and businessTask analysisSurvey data collectionAdaptive learning0503 education050203 business & managementCognitive psychology
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Assessment of mobile phoneapplications feasibility on plant recognition: comparison with Google Lens AR-app

2020

The paper is devoted to systemizing all mobile applications used during the STEM-classes and can be used to identify plants. There are 10 mobile applications that are plant identifiers worldwide. These applications can be divided into three groups, such as plant identifiers that can analyze photos, plant classification provides the possibility to identify plants manually, plants-care apps that remind water of the plant, or change the soil. In this work, mobile apps such as Flora Incognita, PlantNet, PlantSnap, PictureThis, LeafSnap, Seek, PlantNet were analyzed for usability parameters and accuracy of identification. To provide usability analysis, a survey of experts of digital education on…

Google LenSTEM-classesmobile applicationaugmented realityplant identification
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Potencialidades de Google Maps en la investigación social aplicada

2019

In recent years, Google has devoted resources to build a complete map of the world. They constantly scan the territory, collecting a large amount of data that provides updated and complete geographic information. This allows us to have an interoperable map that provides the end user with a search tool, not only of routes but also of shops, equipment and any type of geo-referenced information. In addition, Google Maps provides a series of Application Programming Interface (API), which provides a library of set of subroutines, functions and procedures (in object-oriented programming) that can be used by other software to automate the extraction of information of the Google platform. These fre…

Google Maps provides a series of Application Programming Interface (API)EricPérezwhich provides a library of set of subroutinesUNESCO::SOCIOLOGÍAGoogle Mapsequipment and any type of geo-referenced information. In additionApplied researchinnovaciónmetodologíasampling 91 98muestreomethodology:SOCIOLOGÍA [UNESCO]Gieleninnovation1137-7038 8537 Arxius de sociologia 525290 2019 40 7038144 Potencialidades de Google Maps en la investigación social aplicada Pérez Alonsocollecting a large amount of data that provides updated and complete geographic information. This allows us to have an interoperable map that provides the end user with a search toolwe intend to present an experience with this application of Google in applied social research and show the potentials and weaknesses of these APIs in applied research Investigación aplicadaJèssica In recent yearsRaquelnot only of routes but also of shopsGoogle has devoted resources to build a complete map of the world. They constantly scan the territoryYaizafunctions and procedures (in object-oriented programming) that can be used by other software to automate the extraction of information of the Google platform. These free applications can be technological innovations of great utility for applied social research. In this article
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Social Media as Public Sphere: A Stakeholder Perspective

2016

Purpose This paper aims to examine major stakeholders’ communication preferences in eParticipation initiatives and discuss how this affects the public sphere. Despite the potential of social media, it has proven difficult to get people actively involved in the decision-making processes. There is a need for more research on how stakeholders manage and use social media to communicate. Design/methodology/approach The study was conducted as a qualitative case study. Data sources include interviews, social media content, document analysis and field notes. Findings Communication preferences of stakeholders vary according to their salience level. Stakeholders with higher salience are less likely …

GovernmentInformation Systems and ManagementPublic AdministrationSalience (language)business.industry05 social sciencesStakeholderMedia relationsPublic relations0506 political scienceComputer Science ApplicationsPower (social and political)050602 political science & public administrationPublic sphereSocial mediaSociology0509 other social sciences050904 information & library sciencesbusinessStakeholder theory
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Comparison of analytical methods and AI tools for material characterisation in hot forming

2002

Abstract Hot forming processes probably represent the most ancient of forming operations and what is more they are still today commonly used in modern mechanical industry in order to obtain sound parts, achieving large deformations with a limited required power. Hot metal forming operations are characterised by a large number of physical and thermal phenomena which have to be taken into account in order to model and design the processes themselves. Actually several thermally activated phenomena occur during the forming processes such as recovery, recrystallisation, grain growth, precipitation, allotropic transformations, etc. In this paper the comparison between an analytical method based o…

Grain growthMaterials scienceMetal formingModeling and SimulationThermalMetals and AlloysCeramics and CompositesMechanical engineeringForming processesIndustrial and Manufacturing EngineeringComputer Science ApplicationsEffective equationJournal of Materials Processing Technology
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Bioactive Phytochemicals from Grape Seed Oil-Processing By-Products

2022

Winemaking leads to by-products with high added value, which can be used for new productions in different fields. The reuse of grape seed is addressed in the production of oil and related oil-processing by-products. The main residue from seed oil processing is represented by grape seed flour. A focus on grapeseed oil and health by literature quantitative research analysis is presented. Chemical composition, bioactive compounds, and biological and functional properties ofgrape seed oil and oil-processing by-products are described, and databases containing data and information on grape seed by-products are highlighted. Due to their contents of nutrients and bioactive molecules, grape seed oil…

Grape seed oil · Processing by-product · Bioactive compounds · Beneficial properties · Applications
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Assessing the effectiveness of a game‐based phonics intervention for first and second grade English language learners in India: A randomized controll…

2021

Background In 2018, it was found that only a quarter of Grade 3 children in India were reading at grade level. A growing demand for English education has further limited children's literacy achievement. Despite a strong evidence base in favour of using systematic phonics for building English literacy skills, many teachers in India continue to use rote-methods of literacy instruction. Objectives We aimed to examine the efficacy of GraphoLearn (GL) English Rime, a computer-assisted reading intervention, in improving the foundational literacy skills of 1st and 2nd grade students who were attending an English medium school in India. Methods A total of 136 students across 6 classrooms were rando…

GraphoLearnEnglish language learnersIndiaeducational technologylapset (ikäryhmät)English languagePhonicslukeminenEducationlaw.inventionRandomized controlled triallawIntervention (counseling)tietokoneavusteinen oppiminenopetusteknologiainterventionMedical educationpelaaminenEducational technologyphonicsComputer Science ApplicationslukutaitoopetusmenetelmätGame basedPsychologyenglannin kieliJournal of Computer Assisted Learning
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A mobile game as a support tool for children with severe difficulties in reading and spelling

2020

We used a randomized controlled trial to investigate if a mobile game, GraphoLearn (GL), could effectively support the learning of first graders (N = 70), who have severe difficulties in reading and spelling. We studied the effects of two versions of the game: GL Reading, which focused on training letter-sound correspondence and word reading; and GL Spelling, which included additional training in phonological skills and spelling. During the spring of first grade, the children trained with tablet computers which they could carry with them during the six-week intervention. The average exposure time to training was 5 hr 44 min. The results revealed no differences in the development of reading …

GraphoLearnFLUENCYmedia_common.quotation_subjectPHONEMIC AWARENESSINSTRUCTIONGame based learning050105 experimental psychologyomatoimisuuslukeminenEducationmobile learningFluencyoppimisvaikeudetEARLY LITERACYmobiilioppiminenreadingIntervention (counseling)Reading (process)0501 psychology and cognitive sciencesserious gamemedia_commonmobiilipelitSelf-efficacyluetun ymmärtäminenOUTCOMESPhonemic awareness4. EducationDISABILITY05 social sciences050301 educationSELF-EFFICACYSpellingPOOR READERSComputer Science ApplicationslukutaitokirjoitustaitoSKILLS516 Educational sciencesPsychologylukihäiriöt0503 educationMobile deviceself-efficacyINTERVENTIONCognitive psychology
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Incremental Gaussian Discriminant Analysis based on Graybill and Deal weighted combination of estimators for brain tumour diagnosis

2011

In the last decade, machine learning (ML) techniques have been used for developing classifiers for automatic brain tumour diagnosis. However, the development of these ML models rely on a unique training set and learning stops once this set has been processed. Training these classifiers requires a representative amount of data, but the gathering, preprocess, and validation of samples is expensive and time-consuming. Therefore, for a classical, non-incremental approach to ML, it is necessary to wait long enough to collect all the required data. In contrast, an incremental learning approach may allow us to build an initial classifier with a smaller number of samples and update it incrementally…

Graybill-Deal estimatorDatabases FactualComputer sciencePopulation-based incremental learningGaussianTraining setsHealth InformaticsMachine learningcomputer.software_genreIncremental algorithmPersonalizationsymbols.namesakeAutomatic brain tumour diagnosisArtificial IntelligenceNumber of samplesMachine learningMagnetic resonance spectroscopyHumansPreprocessIncremental learningTraining setbusiness.industryBrain NeoplasmsBrain tumoursEstimatorComputational BiologyPattern recognitionLinear discriminant analysisMagnetic Resonance ImagingDiscriminant analysisTranslational research Tissue engineering and pathology [ONCOL 3]Graybill–Deal estimatorComputer Science ApplicationsGaussiansMagnetic resonanceFISICA APLICADAIncremental learningsymbolsEmpirical resultsArtificial intelligencebusinessClassifier (UML)computerEstimationAlgorithmsJournal of Biomedical Informatics
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The Use of Amberlite Adsorbents for Green Chromatography Determination of Volatile Organic Compounds in Air

2012

Passive samplers have been widely used for volatile organic compounds determination. Following the green chemistry tendency of the direct determination of adsorbed compounds in membrane-based devices through using head space direct chromatography analysis, this work has evaluated the use of Amberlite XAD-2, XAD-4, and XAD-16 adsorbents as a filling material for passive samplers. Direct analysis of the membranes by HS-GC-MS involves a solvent-free method avoiding any sample treatment. For exposed membranes, recoveries ranged from 10% to 203%, depending on the compound and adsorbent used. The limit of the detection values ranged from 1 to 140 ng per sampler. Acceptable precision and sensitivi…

Green chemistryChromatographylcsh:QD71-142Article SubjectChemistryGeneral Chemical Engineeringlcsh:Analytical chemistryAmberliteComputer Science ApplicationsAnalytical ChemistryMembraneAdsorptionDirect analysisInstrumentationResearch ArticleJournal of Analytical Methods in Chemistry
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