Search results for "M-learning"

showing 10 items of 16 documents

Recommandation de parcours de formation dans un contexte mobile

2013

National audience; Les récentes avancées dans les technologies de l'information et de la communication ont vu naître de nouvelles formes d'enseignement. L'apprentissage à distance classique s'enrichit et se transforme pour donner jour à un apprentissage plus flexible, accessible sur de multiples supports, à toute heure et en tout lieu : l'apprentissage mobile. Nos travaux portent sur la conception d'un système de recommandation basé sur le contenu, modélisé en utilisant les technologies du web sémantique. La recommandation prendra en compte l'objectif de formation, mais également les supports disponibles pour dispenser cette formation, les préférences personnelles de l'apprenant, ou encore …

[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][INFO.INFO-MC]Computer Science [cs]/Mobile Computing[INFO.INFO-MC] Computer Science [cs]/Mobile Computing[ INFO.INFO-MC ] Computer Science [cs]/Mobile Computingplus court chemin multi-modal[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR][ INFO.INFO-IU ] Computer Science [cs]/Ubiquitous Computing[INFO.INFO-IU] Computer Science [cs]/Ubiquitous Computing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]m-learningrecommandationmétaheuristiques
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A Phenomenographic Research Study of Students’ Conceptions of Mobile Learning: An Example From Higher Education

2019

This article aims to identify different ways of using mobile devices in students’ learning in higher education. This qualitative research presents the findings from a phenomenographic research of students’ conceptions of mobile learning (m-learning) in higher education. A cohort of 16 students from four universities of Bangladesh took part in semi-structured interviews to explore their in-depth understandings and experiences of m-learning. The findings indicate that university students perceived five qualitatively different ways of using mobile devices in their learning: a medium for communication; a medium for management of learning materials; a tool for effective learning; a means for co…

Cooperative learningphenomenographyHigher educationpedagogical issuesElectronic learninglcsh:Social SciencesmobiilioppiminenConcept learninglcsh:AZ20-9990502 economics and businessComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationPhenomenographyopiskelijatbusiness.industryGeneral Arts and Humanities05 social sciences050301 educationGeneral Social Sciencesconceptionslcsh:History of scholarship and learning. The humanitieslcsh:Hpedagogiikkastudents learningkorkeakouluopiskelumobile learning (m-learning)fenomenografiaComputer-mediated communicationbusinessPsychology0503 educationMobile device050203 business & managementQualitative researchSAGE Open
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Comparative Study of the Mobile Learning Architectures

2016

International audience; With the emergence of mobile devices (Smart Phone, PDA, UMPC, game consoles, etc.), learning is changing from electronic learning (e-Learning) to mobile learning (m-learning). In fact, due to the mobility feature, it seems that the m-learning have to be adapted with the change within the context. Several researches addressed this issue and implemented a mobile learning environment to prove its usefulness and feasibility in various domains. In this article, we conduct a comparative study between a list of mobile learning architectures and methods that are presented in the literature. The performance of these architectures is evaluated based on several criteria, such a…

[ INFO ] Computer Science [cs]Computer science[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]Mobile computingMobile TechnologyM-learning02 engineering and technology[INFO] Computer Science [cs]Context-change managementcomputer.software_genreRobot learning[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]020204 information systems0202 electrical engineering electronic engineering information engineeringMobile searchMobile technology[INFO]Computer Science [cs]AdaptationLearning methodMultimediaLearning environmentEducational technologyContextSynchronous learningE-LearningM-learning020201 artificial intelligence & image processingcomputer
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Mobile learning for instructional purpose in Nigeria : an exploratory analysis

2013

The main purpose of this research is to explore the use of M - learning for instructional purpose in Nigeria with a view to uncovering the degree to which it is in use in the institutions of learning. The issue was addressed from the view point of students and also from the theoretical point drawn from relevant extant literatures of other students and some learning theories, frameworks as well as relevant literatures were examined. This research is empirical in nature and as such employs a cross sectional approach which involved the use of survey design in collecting data from students of different departments from two highly rated and recognized universities in Nigeria. Finally, the result…

m-LearningNigerian Education SystemMobile computingmobile technologykoulutusjärjestelmätE- learningNigerialangaton tekniikkaverkko-oppiminen
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Une approche Web sémantique et combinatoire pour un système de recommandation sensible au contexte appliqué à l'apprentissage mobile

2014

National audience; Au vu de l'émergence rapide des nouvelles technologies mobiles et la croissance des offres et besoins d'une société en mouvement en formation, les travaux se multiplient pour identifier de nouvelles plateformes d'apprentissage pertinentes afin d'améliorer et faciliter le processus d'apprentissage à distance. La prochaine étape de l'apprentissage à distance est naturellement le port de l'e-learning (apprentissage électronique) vers les nouveaux systèmes mobiles. On parle alors de m-learning (apprentissage mobile). La recherche d'informations dans le domaine du m-learning peut être définie comme une activité dont la fi-nalité est de localiser et de délivrer des contenus d'a…

[ INFO ] Computer Science [cs]Recommandation[INFO.INFO-WB] Computer Science [cs]/Weboptimisation[INFO.INFO-WB]Computer Science [cs]/Web[ INFO.INFO-WB ] Computer Science [cs]/Web[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG][INFO] Computer Science [cs][ INFO.INFO-LG ] Computer Science [cs]/Machine Learning [cs.LG][INFO.INFO-MC]Computer Science [cs]/Mobile Computing[INFO.INFO-MC] Computer Science [cs]/Mobile Computing[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG][ INFO.INFO-MC ] Computer Science [cs]/Mobile Computing[INFO]Computer Science [cs]m-learningAlgorithmes combinatoiresweb sémantiquecontexte
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Recommender system for combination of learning elements in mobile environment

2012

5 pages; International audience; The paper presents an ongoing research about the development of a new recommender system dedicated to m-learning. This system is an extension of content based recommender system proposals. It's made of three levels architecture: 1/ a domain model describing the knowledge of teaching, 2/ a user model defining learner's profile and learning's context, 3/ an adaptation model containing rules and metaheuristics, which aims at combining learning modules. Our system takes into account the spatio-temporal context of the learners, the evolution of learner's profile and the dynamic adaptation of modules during the learning process in a mobile environment. The result …

spatiotemporal contextmetaheuristics[ INFO.INFO-IU ] Computer Science [cs]/Ubiquitous Computing[INFO.INFO-IU] Computer Science [cs]/Ubiquitous Computing[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG][ INFO.INFO-LG ] Computer Science [cs]/Machine Learning [cs.LG][INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-MC]Computer Science [cs]/Mobile Computing[INFO.INFO-MC] Computer Science [cs]/Mobile Computing[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]learner's profile[ INFO.INFO-MC ] Computer Science [cs]/Mobile Computingontologym-learningRecommender system
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CAMLearn : a semantic context-aware recommender system architecture : application on m-learning domain

2015

Given the rapid emergence of new mobile technologies and the growth of needs of a moving society in training, works are increasing to identify new relevant educational platforms to improve distant learning. The next step in distance learning is porting e-learning to mobile systems. This is called m-learning. So far, learning environment was either defined by an educational setting, or imposed by the educational content. In our approach, in m-learning, we change the paradigm where the system recommends content and adapts learning follow to learner's context.

RecommandationContexte[SCCO.COMP] Cognitive science/Computer scienceContextCombinatorial algorithmsM-learningWeb sémantiqueRecommendationAlgorithmes combinatoiresSemantic Web
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Gamificación en la universidad II: aprendemos a divertirnos enseñando. Se divierten aprendiendo

2017

[EN] After the success last year using gamification as a motivating method in the degree of Biomedical Engineering (UV-UPV), we introduce it this year in degree in Podiatry (UV). On the basis of the results of our first study, we focus on the use of Kahoot application in order to improve our students’ motivation and subsequently, their califications. Despite the short timeexperience, the improvement in academic results has been evident. Although it could be due to many causes, it has been influenciated by this action. In addition, during the development of this type of activity the involvement and fun of our students does not cease to amaze us. They enjoy their successes and also their fail…

Innovación educativaGamificaciónTICKAHOOTEducación superiorEnseñanza superiorMotivaciónTecnologías y educaciónLudificaciónm-learningLibro de Actas IN-RED 2017 - III Congreso Nacional de Innovación Educativa y de Docencia en Red
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Mobiiliopetuksen käyttömahdollisuuksia : oppilaiden omien mobiililaitteiden käyttö peruskoulun alakoulun opetuksessa

2015

Muutaman viime vuoden aikana mobiililaitteiden käyttö kouluissa on yleistynyt. Tämä on osittain aiheuttanut ristiriitaista keskustelua laitteiden käytöstä opetuksessa. Osa opettajista on ottanut mobiililaitteet opetuskäyttöön innokkaasti. Mobiiliopetuksen mahdollisuuksia ei kuitenkaan ole vielä kovin paljon tutkittu. Tällä tutkimuksella oli tarkoitus selvittää, mitä mahdollisuuksia oppilaiden omat mobiililaitteet tarjoavat opetukseen. Aineiston analyysissa pyrittiin etsimään tietoa siitä, miten ongelma-perustaisen opetuksen menetelmä ja pelillisyys vaikuttavat opetus- ja oppimisprosessissa, kun opiskelumenetelmänä käytetään mobiilioppimista ja oppilaiden omia mobiililaitteita. Tutkimus teht…

Bring Your Own Deviceongelmalähtöinen oppiminenoppiminenBYODfuture schoolBring Your Own Technologypelillisyysopetusverkko-oppiminenoppimispelitmobile learningpelillistäminenmobiililaitteetmobiilioppiminenBYOTPBLongelmaperustainen oppiminengamificationm-learningmobiiliopetus
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Itinerarios De M-Learning en La Educación Universitaria

2015

In recent years, mobile devices like smartphones, tablets, and laptops allow immediate connection and content exchange among people "anytime, anywhere" (Park S.Y., et al. 2012). 'Ubiquitous learning’ becomes very important in higher and university education also in order to emphasize the educational paths’ design and maximize students’ learning opportunities. At this regard, it‘s interesting to consider the assumptions of the connectivism theory (Siemens, 2005) as a theoretical reference for the e-learning design. For verifying these assumptions and clarifying whether Italian teachers and students share them, we conducted this research. This empirical study aims to grasp what type of mobile…

connectivismAprendizaje ubicuoAprendizaje ubicuo; conectivismo; m-learning; educación superior; e-learninghigher educationUbiquitous learning; connectivism; m-learning; higher education; e-learningUbiquitous learningconectivismoeducación superiorm-learninge-learningSettore M-PED/03 - Didattica E Pedagogia Speciale
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