Developing a Learning Objects Recommender System Based on Competences to Education: Experience Report

2014 ◽  
pp. 217-226 ◽  
Author(s):  
Silvio César Cazella ◽  
Patrícia Alejandra Behar ◽  
Daisy Schneider ◽  
Ketia Kellen da Silva ◽  
Rodrigo Freitas
Keyword(s):  
Recommender System ◽  
Learning Objects ◽  
Experience Report ◽  
Education Experience

Toward a Hybrid Recommender System for E-learning Personnalization Based on Data Mining Techniques

2018 ◽  
Vol 2 (4) ◽  
pp. 271 ◽  
Author(s):  
Outmane Bourkoukou ◽  
Essaid El Bachari
Keyword(s):  
Learning Style ◽  
Recommender System ◽  
Adaptive Learning ◽  
Learning Objects ◽  
Research Field ◽  
Learning System ◽  
K Nearest Neighbors ◽  
E Learning ◽  
Hybrid Recommender System ◽  
Hybrid Recommender

Personalized courseware authoring based on recommender system, which is the process of automatic learning objects selecting and sequencing, is recognized as one of the most interesting research field in intelligent web-based education. Since the learner’s profile of each learner is different from one to another, we must fit learning to the different needs of learners. In fact from the knowledge of the learner’s profile, it is easier to recommend a suitable set of learning objects to enhance the learning process. In this paper we describe a new adaptive learning system-LearnFitII, which can automatically adapt to the dynamic preferences of learners. This system recognizes different patterns of learning style and learners’ habits through testing the psychological model of learners and mining their server logs. Firstly, the device proposed a personalized learning scenario to deal with the cold start problem by using the Felder and Silverman’s model. Next, it analyzes the habits and the preferences of the learners through mining the information about learners’ actions and interactions. Finally, the learning scenario is revisited and updated using hybrid recommender system based on K-Nearest Neighbors and association rule mining algorithms. The results of the system tested in real environments show that considering the learner’s preferences increases learning quality and satisfies the learner.

scholarly journals Recommending collaboratively generated knowledge

2012 ◽  
Vol 9 (2) ◽  
pp. 871-892 ◽  
Author(s):  
Weiqin Chen ◽  
Richard Persen
Keyword(s):  
Recommender System ◽  
Learning Process ◽  
Positive Feedback ◽  
Information Technologies ◽  
Knowledge Building ◽  
Learning Objects ◽  
Building Process ◽  
Collaborative Knowledge Building ◽  
New Challenges ◽  
Collaborative Knowledge

With the development and adoption of information technologies in education, learners become active producer of knowledge. There is an increasing amount of content generated by learners in their learning process. These emerging learning objects (ELOs) could potentially be valuable as learning resources as well as for assessment purpose. However, the potentials also give rise to new challenges for indexing, sharing, retrieval and recommendation of such learning objects. In this research we have developed a recommender system for emerging learning objects generated in a collaborative knowledge building process and studied the implications and added values of the recommendations. We conducted two evaluations with learners to assess and improve the system?s design and study the quality and effects of the recommendations. From the evaluations, we received generally positive feedback and the results confirm the added values of the recommendations for the knowledge building process.

scholarly journals Notas sobre o saber da experiência: educação ambiental e o poder ubuesco

2018 ◽  
Vol 7 (2) ◽  
Author(s):  
Isabel Cristina Dalmoro ◽  
Suelen Assunção Santos
Keyword(s):  
Environmental Education ◽  
Michel Foucault ◽  
Master's Degree ◽  
Social Practices ◽  
Experience Report ◽  
Environmental Crisis ◽  
Education Experience ◽  
Postgraduate Studies ◽  
Master’S Degree ◽  
Analytical Tools

Resumo: ‘Experiência’ é entendida como aquilo que nos passa, que nos acontece e que nos toca. Em vista disso, esse relato de experiência toma o sentido de relato de um estudo que nos tocou, nos aconteceu e nos deixou vestígios. Assim sendo, a narrativa que segue refere-se a um relato de experiência sobre um estudo de Mestrado integrado à Linha de Pesquisa do Programa de Pós-Graduação em Educação em Ciências: Química da Vida e Saúde – UFRGS, que investiga como os efeitos dos discursos e das práticas sociais processadas em diferentes instâncias atuam na produção de verdades e de sujeitos, tendo como base a perspectiva pós-estruturalista. O estudo teve como objetivo examinar noções pertinentes à filosofia de Michel Foucault que servissem como ferramentas analíticas para lançar novos olhares sobre a Educação Ambiental. O propósito desse texto é apresentar como transcorreu o encontro entre a referida educação e a noção de poder ubuesco, mencionado pelo autor apenas nas duas primeiras aulas que integralizam a obra Os Anormais (1974-1975). Por conta deste encontro, tendo como base o método da Cartografia, em que se buscou apresentar os mapas dos sentidos que a categoria do ubuesco alcançou, obteve-se como resultado a elaboração e a submissão de um artigo no qual a noção de poder ubuesco foi operada com o contexto da crise ambiental vigente. O presente relato abordará a experiência percorrida até a escrita do artigo submetido, apresentando os principais passos do percurso realizado.Palavras-chave: Educação Ambiental. Experiência. Poder ubuesco. Pós-estruturalista. NOTES ABOUT THE KNOWLEDGE OF EXPERIENCE: ENVIRONMENTAL EDUCATION AND UBUESCO POWER Abstract: Experience is understood as what passes us, happens to us, and touches us. In view of this, this experience report takes the sense of a report of a study that touched us, happened to us and left traces in us. Therefore, the following narrative refers to an experience report about a master’s degree study embedded to the Research line of the Postgraduate studies Program in Education in Sciences: Chemistry of Life and Health – UFRGS, that investigates how the effects of the speeches and social practices processed in different instances act in the production of truths and subjects, having as base the poststructuralist perspective. The study had as objective to examine notions pertinent to the Michel Foucault’s philosophy that worked as analytical tools to give new looks about Environmental Education. The purpose of this text is to present how happened the meeting between the referred education and the notion of ubuesque power, mentioned by the author only in the two first classes that integrate the work Abnormal (1974-1975). On account of this meeting, having as base the Cartography method, in which it was sought to present the maps of senses that the ubuesque category reached, it was obtained as result the elaboration and submission of a paper in which the notion of ubuesque power was operated with the context of the present environmental crisis. This report will approach the experience traveled until the writing of the submitted paper, presenting the main steps of the accomplished course.Keywords: Environmental Education. Experience. Ubuesque Power. Poststructuralist.

scholarly journals CAPES/FIPSE year one experience report: why begin with math learning objects?

2010 ◽  
Vol 12 ◽  
pp. 252
Author(s):  
Krista Gurko
Keyword(s):  
United States ◽  
The United States ◽  
Learning Objects ◽  
Experience Report ◽  
Digital Learning ◽  
State University ◽  
Utah State University ◽  
Math Learning ◽  
Digital Learning Objects ◽  
Future Plans

This experience report describes one student’s perspective about being a part of the first CAPES/FIPSE exchange session that brought her to study at Universidade Estadual de Campinas (UNICAMP) in Brazil from Utah State University (USU) in the United States. In June and July 2010, this student joined two other university students to present the CAPES/FIPSE project and the related math learning objects at four schools in Campinas. This article provides an overview of the project and offers this student’s thoughts about possible reasons for the instructors’ immediate responses and future plans with the digital learning objects.

scholarly journals A Psicopedagogia no Ensino Superior: Relato de Experiência sobre as Principais Queixas dos Acadêmicos em uma Instituição Universitária no Brasil / Psychopedagogy in Higher Education: Experience Report on the Main Complaints of Academics in a University Institution in Brazil

2020 ◽  
Vol 14 (50) ◽  
pp. 1137-1152
Author(s):  
Léa Barbosa de Sousa ◽  
Marisa Pascarelli Agrello
Keyword(s):  
Higher Education ◽  
Experience Report ◽  
Education Experience

Este artigo tem por intenção apresentar um relato de experiência vivenciada em uma Universidade sobre as principais queixas no acompanhamento de estudantes com dificuldades de aprendizagem. A Psicopedagogia se ocupa das dificuldades de aprendizagem humana e os fatores que interferem no processo de aprendizagem. Este texto propõe uma reflexão sobre os principais assuntos: Psicopedagogia no Ensino Superior e as principais queixas dos Universitários. Dialogando sobre as dificuldades de aprendizagem específicas. Demandas dos atendimentos.  Encaminhamentos dos acadêmicos a outros profissionais. Inclusão de alunos com deficiências no Ensino Superior. O acompanhamento Psicopedagógico Universitário é visto pelo Ministério da Educação - MEC como exitoso nas Universidades. As dificuldades de Aprendizagem são muitas e a Psicopedagogia contribui amenizando esse quadro oferecendo apoio psicopedagógico aos estudantes.  

Recommending Academic Papers for Learning Based on Information Filtering Applied to Mobile Environments

2015 ◽  
pp. 2159-2178
Author(s):  
Sílvio César Cazella ◽  
Jorge Luiz Victória Barbosa ◽  
Eliseo Berni Reategui ◽  
Patricia Alejandra Behar ◽  
Otavio Costa Acosta
Keyword(s):  
Learning Environment ◽  
Recommender Systems ◽  
Mobile Devices ◽  
Mobile Learning ◽  
Recommender System ◽  
Information Filtering ◽  
Likert Scale ◽  
Learning Objects ◽  
Mobile Environments ◽  
Proposed Model

Mobile learning is about increasing learners' capability to carry their own learning environment along with them. Recommender Systems are widely used nowadays, especially in e-commerce sites and mobile devices, for example, Amazon.com and Submarino.com. In this chapter, the authors propose the use of such systems in the area of education, specifically for the recommendation of learning objects in mobile devices. The advantage of using Recommender Systems in mobile devices is that it is an easy way to deliver recommendations to students. Based on this scenario, this chapter presents a model of a recommender system based on information filtering for mobile environments. The proposed model was implemented in a prototype aimed to recommend learning objects in mobile devices. The evaluation of the received recommendations was conducted using a Likert scale of 5 points. At the end of this chapter, some future works are described.

scholarly journals Contextual Information Retrieval within Recommender System: Case Study "E-learning System"

TEM Journal ◽  
2020 ◽  
pp. 1150-1162
Author(s):  
Mourad Brik ◽  
Mohamed Touahria
Keyword(s):  
Collaborative Filtering ◽  
Recommender System ◽  
Research Work ◽  
User Profile ◽  
Learning Objects ◽  
Learning System ◽  
Context Information ◽  
Context Modeling ◽  
Semantic Web Technologies ◽  
Ubiquitous Environment

This paper focuses on monitoring and analyzing user activities on collaborative filtering -based recommender system in order to guess suitable and unsuitable items' context information using rating matrix which makes more efficient adaptation task. An ontology-based user profile and rules-based context modeling for reasoning about context information is proposed in this research work, in addition to an investigation to apply Semantic Web technologies in user modeling and context reasoning. This proposal is applied in education field in which we have designed an authoring tool for learning objects within ubiquitous environment. This system aims to improve the learning object production task (creation, review, edition…) on behalf of technologies offered by collaborative filtering systems as well as user behaviors monitoring to improve the recommendation process.

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