Search results for "Data Science"

showing 10 items of 495 documents

Estimating Programming Exercise Difficulty using Performance Factors Analysis

2020

This Work in Progress Paper studies student and exercise modelling based on pass/fail log data gathered from an introductory programming course. Contemporary education capitalizes on the communications technology and remote study. This can create distance between the teacher and students and the resulting lack of awareness of the difficulties students encounter can lead to low student satisfaction, dropout and poor grades. In many cases, various technological solutions are used to collect individual exercise submissions, but there are little resources for indexing or modelling the exercises in depth. Exercise specific feedback from students may not be easily obtainable either. In the presen…

opintomenestysmallintaminenopiskelijatComputer science05 social scienceslearning factors analysis050301 education020207 software engineering02 engineering and technologytietotekniikkaData scienceData modelingperformance factors analysisInformation and Communications Technologyintelligent tutortyytyväisyysexercise modellingopiskelu0202 electrical engineering electronic engineering information engineeringComputingMilieux_COMPUTERSANDEDUCATIONohjaus (neuvonta ja opastus)0503 educationarviointiDropout (neural networks)
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What do we do when we analyse the temporal aspects of computer-supported collaborative learning? A systematic literature review

2021

To better understand the premises for successful computer-supported collaborative learning (CSCL), several studies over the last 10 years have analysed the temporal aspects of CSCL. We broadly define the temporal aspects of CSCL as focusing on the characteristics of or interrelations between events over time. The analysis of these aspects, however, has been loosely defined, creating challenges regarding the comparability and commensurability of studies. To address these challenges, we conducted a systematic literature review to define the temporal analysis procedure for CSCL using 78 journal papers published from 2003 to 2019. After identifying the key operations to be included in the proce…

oppiminenComputer scienceProcess (engineering)temporal analysisContext (language use)yhteistyöEducation0501 psychology and cognitive sciencesopetusteknologiayhteisöllinen oppiminenkirjallisuuskatsauksetSocial network analysissystemaattiset kirjallisuuskatsauksetcollaborative technology05 social sciencesComparability050301 educationCollaborative learningData scienceSystematic reviewmethodology systematic reviewComputer-supported collaborative learningAsynchronous communicationcomputer-supported collaborative learning (CSCL)0503 educationtietokoneavusteisuus050104 developmental & child psychology
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Student agency analytics: learning analytics as a tool for analysing student agency in higher education

2020

This paper presents a novel approach and a method of learning analytics to study student agency in higher education. Agency is a concept that holistically depicts important constituents of intentional, purposeful, and meaningful learning. Within workplace learning research, agency is seen at the core of expertise. However, in the higher education field, agency is an empirically less studied phenomenon with also lacking coherent conceptual base. Furthermore, tools for students and teachers need to be developed to support learners in their agency construction. We study student agency as a multidimensional phenomenon centring on student-experienced resources of their agency. We call the analyt…

oppiminenHigher educationLearning analytics02 engineering and technologyArts and Humanities (miscellaneous)020204 information systems0502 economics and businessAgency (sociology)ComputingMilieux_COMPUTERSANDEDUCATION0202 electrical engineering electronic engineering information engineeringDevelopmental and Educational PsychologySociologylearning analyticsopiskelijatbusiness.industry05 social sciencesGeneral Social SciencestoimijuusData scienceHuman-Computer Interactionkoneoppiminenrobust statisticsAnalyticsstudent agency050211 marketingbusinessBehaviour & Information Technology
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Pair interactions in online assessments of collaborative problem solving: case-based portraits

2018

This exploratory case study focuses on how pairs of students can build a shared understanding and acquire collaborative problem-solving (CPS) practices during an online assessment of CPS skills, which is seen in the context of the CPS construct, in a symmetrical and asymmetrical task type. Even though CPS is widely recognised as a core twenty-first-century competency, its nature is not yet well understood. Also, until recently, most of studies have focused on the individual’s solution to a problem or on the skills individuals bring into a problem-solving space. This study extends from an individual- to group-level focus in CPS, emphasising the role and quality of the social aspects in CPS p…

oppiminenSocial PsychologyComputer sciencemedia_common.quotation_subjectsosiaaliset tekijätContext (language use)Collaborative problem-solvingcase studies050105 experimental psychologyEducationTask (project management)Social aspects of learning and teachingtapaustutkimuspienryhmätComputer-supported collaborative learningManagement of Technology and InnovationQualitative researchtietokoneavusteinen oppiminenMedia Technology0501 psychology and cognitive sciencesQuality (business)yhteisöllinen oppiminensocial aspectsmedia_commonlcsh:T58.5-58.64lcsh:Information technologyResearchDirected content analysis05 social sciencesEducational technology050301 educationCognitionopetusData scienceteachingcomputer-supported collaborative learningTriangulation (geometry)directed content analysisComputer-supported collaborative learningcollaborative problem-solvingSmall-group processessmall-group processesCase studieskvalitatiivinen tutkimusConstruct (philosophy)0503 educationResearch and Practice in Technology Enhanced Learning
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Understanding Big Data and its application in the digital marketing landscape

2021

This chapter outlines the increasing prominence of Big Data and its application to marketing practice. The 8Ps of the Expanded Marketing Mix: Product, Price, Place, Promotion, Process, Physical evidence, Partnerships and People are applied as the lens in explaining the application of Big Data in contemporary marketing practice. Big Data is already guiding marketing decision-making at multiple levels, from analysing consumer buying behaviour to Internet-of-Things (IoT)-enabled devices that report on product use conditions, service requirements or processing data from manufacturing. In the future, Artificial Intelligence will become important in handling Big Data. In preparation for this, the…

ostokäyttäytyminenDigital marketingbig datamarkkinointibusiness.industrypäätöksentekoBig dataesineiden internetBusinesstekoälyData sciencedigitaalinen markkinointi
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Finding Repetitions in Biological Networks: Challenges, Trends, and Applications

2013

pattern discoverybiological networksComputer scienceProblem FormulationsData scienceBiological network
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STATBOX Concept for Simulation of Urban Phenomena

2013

Abstract An urban environment is a dynamic system which is constantly changing in terms of space and time. There are two dimensions in any urban environment – the physical dimension and the functional dimension. All of the structures of an urban environment interact and people are the intermediaries in this process. The spatial structure of cities has been studied from various perspectives by architects, urban planners, environmental scientists, economists, geographers etc. Constant monitoring that is based on remote sensing, spatial statistics, simulation etc., is needed to make on going note of transformation in the various types of land use that exist, movement of people and business env…

pedestrian movementsLand useComputer scienceProcess (engineering)spatial analyzecomputer.software_genreGISData scienceVisualizationVirtual machineGeneral Earth and Planetary SciencesgeosimulationData miningRoad mapEnterprise GISDimension (data warehouse)computerSpatial analysisGeneral Environmental ScienceProcedia Computer Science
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Evaluating the Efficiency of Different Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility U…

2020

Piping erosion is one form of water erosion that leads to significant changes in the landscape and environmental degradation. In the present study, we evaluated piping erosion modeling in the Zarandieh watershed of Markazi province in Iran based on random forest (RF), support vector machine (SVM), and Bayesian generalized linear models (Bayesian GLM) machine learning algorithms. For this goal, due to the importance of various geo-environmental and soil properties in the evolution and creation of piping erosion, 18 variables were considered for modeling the piping erosion susceptibility in the Zarandieh watershed. A total of 152 points of piping erosion were recognized in the study area that…

pipinglcsh:Sdeep learninggeoinformaticshazard mappingnatural hazarderosionsusceptibilityBayesian generalized linear model (Bayesian GLM)lcsh:Agriculturemachine learningspatial modelinggeohazardbig datasupport vector machinedata sciencerandom forestLand
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Register Variation in Electronic Business Correspondence

2011

Electronic correspondence is a highly dynamic genre within the business world in which Register Variation (RV) is frequently used as a tool to improve communication but it often can lead to misunderstanding. In order to shed some light on this still unexplored area, the present study firstly offers a practical approach to classify and analyse RV within professional communication. After this, it reviews previous studies on email writing to apply their findings to this approach and, in the third part of the study, a corpus of recent business emails in English is analysed to examine how the key parameters of RV are currently used within this genre. The results will show that, not only the cont…

register variationCultural StudiesRegister (sociolinguistics)Linguistics and LanguageemailLiterature and Literary TheoryComputer scienceContext (language use)33 - EconomíaLengua inglesa comercialcorpus analysislcsh:PR1-9680Language and LinguisticsEducation81 - Lingüística y lenguasbusiness Englishlcsh:English languageElectronic businesselectronic correspondenceCorrespondencia comercialProfessional communicationData scienceDocumentos electrónicoslcsh:English literatureVariation (linguistics)Order (business)Key (cryptography)lcsh:PE1-3729
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Looking ahead in games research

2021

This thematic issue presents a number of emerging scholarships into the study of digital gaming. The articles are based on a 2019 symposium on game studies hosted by the Digital Games Research section of ECREA. As the phenomena related to digital gaming keep on evolving and emerging, so must research keep up with the times and constantly challenge itself. Whether speaking about validating previously developed research methods, imagining totally new ones, or even challenging the whole philosophy of science on which research is being done, there is a constant need for reappraisal and introspection within games research. As a cultural medium that has become deeply embedded into the social fabr…

serious gamesmedia_common.quotation_subjectdigital games302 Social interaction050801 communication & media studiesSocial interactionddc:070Field (computer science)lcsh:Communication. Mass mediaInteractive electronic Media0508 media and communications0504 sociologySociologyinteraktive elektronische Mediengame studiesNews media journalism publishingmedia_commonSocial sciences AnthropologyPhilosophy of scienceCommunication05 social sciences050401 social sciences methodsmethodologyGame researchData sciencelcsh:P87-96300 Social sciences AnthropologySocial fabricGame studiesddc:300IntrospectionPublizistische Medien JournalismusVerlagswesenddc:302digital games; game studies; methodology; serious gamesMedia and Communication
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