Search results for " learning"

showing 10 items of 5299 documents

A Descriptive Case Analysis of Instructional Teaching Practices in Finnish Preschool Classrooms

2013

This study examined the diversity of teaching practices to illuminate the qualitative variety of instructional teaching practices among preschool teachers. Further, teachers' self-rated educational goals were explored to complement the multifaceted nature of preschool teachers' instructional teaching practices. The study was carried out as a case study. The cases were used to describe the qualitative variety of Finnish preschool teachers' instructional practices in authentic classroom situations among groups of 6-year-old children. The authors' previous study revealed four distinct latent profiles of teaching practices in preschool classrooms based on 49 observed preschool teachers, using t…

Class (computer programming)Scoring systeminstructional teaching practicesGoal orientationTeaching methodmedia_common.quotation_subjectEducationVariety (cybernetics)esikouluConcept learningPedagogyDevelopmental and Educational PsychologyMathematics educationta516Psychologyclassroom observationsCase analysisDiversity (politics)media_commonJournal of Research in Childhood Education
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Stability-Based Model Selection for High Throughput Genomic Data: An Algorithmic Paradigm

2012

Clustering is one of the most well known activities in scien- tific investigation and the object of research in many disciplines, ranging from Statistics to Computer Science. In this beautiful area, one of the most difficult challenges is the model selection problem, i.e., the identifi- cation of the correct number of clusters in a dataset. In the last decade, a few novel techniques for model selection, representing a sharp departure from previous ones in statistics, have been proposed and gained promi- nence for microarray data analysis. Among those, the stability-based methods are the most robust and best performing in terms of predic- tion, but the slowest in terms of time. Unfortunately…

Class (computer programming)Settore INF/01 - Informaticabusiness.industryComputer scienceHeuristic (computer science)Model selectionStability (learning theory)Machine learningcomputer.software_genreIdentification (information)Algorithm designArtificial intelligenceCluster analysisbusinessAlgorithms and Data StructuresThroughput (business)computer
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Identifying individual differences using log-file analysis: Distributed learning as mediator between conscientiousness and exam grades

2018

Abstract Online learning poses major challenges on students' self-regulated learning. This study investigated the role of learning strategies and individual differences in cognitive abilities, high school GPA and conscientiousness for successful online learning. We used longitudinal log-file data to examine learning strategies of a large cohort (N = 424) of university students taking an online class. Distributed learning, the use of self-tests and a better high school GPA was associated with better exam grades. The positive effect of conscientiousness on exam grades was mediated by distributed learning. Conscientious students distributed their studying over the course of the semester, which…

Class (computer programming)Social PsychologyOnline learning05 social sciences050301 education050109 social psychologyConscientiousnessCognitionEducationLarge cohortOnline courseComputingMilieux_COMPUTERSANDEDUCATIONDevelopmental and Educational PsychologyMathematics education0501 psychology and cognitive sciencesDistributed learningPsychology0503 educationPractical implicationsLearning and Individual Differences
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One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices

2012

In the dissimilarity representation paradigm, several prototype selection methods have been used to cope with the topic of how to select a small representation set for generating a low-dimensional dissimilarity space. In addition, these methods have also been used to reduce the size of the dissimilarity matrix. However, these approaches assume a relatively balanced class distribution, which is grossly violated in many real-life problems. Often, the ratios of prior probabilities between classes are extremely skewed. In this paper, we study the use of renowned prototype selection methods adapted to the case of learning from an imbalanced dissimilarity matrix. More specifically, we propose the…

Class (computer programming)business.industryPattern recognitionPattern RecognitionMachine learningcomputer.software_genreSet (abstract data type)Matrix (mathematics)Distribution (mathematics)DissimilarityOne sidedPattern recognition (psychology)Artificial intelligenceRepresentation (mathematics)businesscomputerSelection (genetic algorithm)Mathematics
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On Duality in Learning and the Selection of Learning Teams

1996

AbstractPrevious work in inductive inference dealt mostly with finding one or several machines (IIMs) that successfully learn collections of functions. Herein we start with a class of functions and considerthe learner setof all IIMs that are successful at learning the given class. Applying this perspective to the case of team inference leads to the notion ofdiversificationfor a class of functions. This enable us to distinguish between several flavours of IIMs all of which must be represented in a team learning the given class.

Class (computer programming)business.industryPerspective (graphical)Duality (mathematics)InferenceInductive reasoningMachine learningcomputer.software_genreTheoretical Computer ScienceComputer Science ApplicationsTeam learningComputational Theory and MathematicsSelection (linguistics)Artificial intelligencebusinesscomputerMathematicsInformation SystemsInformation and Computation
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Teaching and learning in consumer behavior: a class activity supporting real decision-making in cultural management

2010

Abstract Problem-based learning has been suggested as a useful tool to foster student-centered learning and increase student motivation. Students of Business Administration are not familiar with Research on Consumer Behavior, its contents and techniques, since this subject is traditionally linked to Psychology. In order to facilitate the teaching-learning process in this subject, this paper presents an application of problem-based learning in the context of Consumer Behavior. Results of this pilot experience are assessed under a qualitative and a quantitative basis. The evidence obtained allow us to conclude that this collaboration project enable students to obtain and to process informatio…

Class (computer programming)interuniversity collaboration.Knowledge managementProblem-based learningProcess (engineering)business.industryTeaching methodSubject (documents)Context (language use)consumerbehaviorExperiential learningActive learningGeneral Materials SciencebusinessPsychologyConsumer behaviourProcedia - Social and Behavioral Sciences
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Benefits of computer screen-based simulation in learning cardiac arrest procedures

2010

Medical Education 2010: 44: 716–722 Objectives  What is the best way to train medical students early so that they acquire basic skills in cardiopulmonary resuscitation as effectively as possible? Studies have shown the benefits of high-fidelity patient simulators, but have also demonstrated their limits. New computer screen-based multimedia simulators have fewer constraints than high-fidelity patient simulators. In this area, as yet, there has been no research on the effectiveness of transfer of learning from a computer screen-based simulator to more realistic situations such as those encountered with high-fidelity patient simulators. Methods  We tested the benefits of learning cardiac arre…

Class (computer programming)medicine.medical_specialtybusiness.industrymedicine.medical_treatmentLearning environmenteducationGeneral MedicineEducationTest (assessment)Basic skillsMedicineMedical physicsCardiopulmonary resuscitationClinical competencebusinessPatient simulationTransfer of learningMedical Education
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Variability of Classification Results in Data with High Dimensionality and Small Sample Size

2021

The study focuses on the analysis of biological data containing information on the number of genome sequences of intestinal microbiome bacteria before and after antibiotic use. The data have high dimensionality (bacterial taxa) and a small number of records, which is typical of bioinformatics data. Classification models induced on data sets like this usually are not stable and the accuracy metrics have high variance. The aim of the study is to create a preprocessing workflow and a classification model that can perform the most accurate classification of the microbiome into groups before and after the use of antibiotics and lessen the variability of accuracy measures of the classifier. To ev…

Classification algorithms; feature selection; high dimensionality; machine learningInformation Technology and Management Science
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Classroom Management and Loss of Time at the Lesson Start: A Preliminary Study

2013

<p style="text-align:justify">Lesson starts are transitional events which may cause management problems for teachers. In this study 131 lesson starts of equally many teachers were observed in primary and secondary schools in Finland. The results indicated that, in general, the problems were minimal. However, for various reasons lesson starts were delayed by an average of about six minutes. Calculated on this basis, the total loss of instructional time in the whole school year was about five weeks of schooling. No statistically significant relationships were observed between disturbances in the classroom and any background variable studied including grade level, classroom type,(special…

Classroom managementClass sizeschoolEğitim Bilimsel Disiplinlertime for learningEducationLikert scalebehaviour problemsclass sizeschoolchildrenbehaviour problemstime for learningTime of daychildrenWhole schoolClass sizePedagogyMathematics educationMainstreamTime managementlcsh:LPsychologyEducation Scientific DisciplinesGrade levellcsh:EducationEuropean Journal of Educational Research
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Challenges for Surgical Residents’ Practice-Based Learning

2013

This chapter explores the practice-based learning of surgical residents. We concentrate on the challenges encountered and experienced by the residents during their clinical practice. In line with Billett (2010), we understand learning through practice as a process that arises through the exercise of occupational activities. For the surgical residents this means that they learn through participating in various kinds of hands-on surgical practices and interactions in clinical wards and units.

Clinical PracticeWorkplace learningMedical educationProcess (engineering)educationPsychology
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