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46th Latin American Computing Conference (CLEI)

作者： da Silva, Rosymeire Oliveira Fiorese, Adriano Santa Catarina State Univ UDESC Dept Comp Sci DCC Grad Program Appl Comp PPGCA Joinville SC Brazil

ISBN: (纸本)9780738130644

learning object repositories (LOR), also known as Open Educational repositories (OER), are proper web platforms to store educational resources such as learning objects (LOs). learning object repositories are design to make easy searching and reusing of educational resources. However, LORs great variety of available educational resources makes difficut to a user to find an LOR that suits his needs. Software Quality Indicators such as Functionality, Usability, Reliability, and Compatibility are important characteristics, according to ISO 25010 software quality norm, regarding general software use and they can be used as criteria for choosing the most suitable LOR according to user will. This work aims to present a support decision-making method for choosing the most suitable LOR to a user. This method uses the multicriteria decision-making method AHP for ranking LORs according to a user requested set of Indicators and values. Proposed method evaluation envolving different user requests shows its viability and applicability.

关键词： learning object repositories Software Quality Indicators Decision-making Analytical Hierarchy Process AHP

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Factors Influencing Co-creation of Open Education Resources using learning object repositories 14

Factors Influencing Co-creation of Open Education Resources ...

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14th International Conference on Computer Supported Education (CSEDU)

作者： Chanda, Mulenga Chirwa, Elizabeth Kamanga, Mirriam Kayula, Mwenya Phiri, Lighton Univ Zambia Dept Lib & Informat Sci Lusaka Zambia

ISBN: (纸本)9789897585623

Open Education Resources (OERs) have been identified as instrumental in facilitating access to quality teaching and learning materials. However, despite the rapid development of technologies capable of making OERs, the uptake and co-creation of OERs by educators is still low. This paper outlines a study conducted in order to investigate the use of learning object repositories (LORs) in co-creation of OERs by educators. Using the Uses and Gratification theory, a survey was conducted with 36 educators in order to identify learning objects commonly used by educators and, additionally, to determine the factors that can positively influence educators to be co-creators of OERs. The results indicate that sharing knowledge, contributing to other people and intellectual challenge are factors that are highly correleted in motivating educators to be co-creators of OERs. The results also indicate that the learning objects commonly used by the educators are the course modules and presentation slides. In conclusion, in order for educators to be co-creators of OERs they need to be intrinsically motivated and be able to collaborate with others for non-selfish reasons. The results of of this study have the potential of influencing how LORs should be design in order to facilitate effective co-creation of OERs.

关键词： learning object repositories Open Education Resources OERs repositories

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A Hybrid Recommendation Model for learning object repositories

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IEEE LATIN AMERICA TRANSACTIONS 2017年第3期15卷 462-473页

作者： Gordillo, A. Barra, E. Quemada, J. Univ Politecn Madrid Madrid Spain Univ Politecn Madrid Escuela Tecn Super Ingn Telecomunicac Madrid Spain

learning objects (LOs) have emerged as a cornerstone approach for the development and distribution of educational content. These resources are distributed by learning object repositories (LORs), which can make it easier for users to find suitable LOs by using Recommender Systems (RSs). This paper presents a hybrid recommendation model for LORs that combines content-based, demographic and context-aware techniques, along with the use of quality and popularity metrics. This article also describes how the model has been used to implement two RSs for two real LORs: ViSH and Europeana. Each of these RSs was evaluated in terms of accuracy, utility, usability and satisfaction perceived by end users. Besides, an A/B testing was performed in ViSH to compare the recommendations of the RS with random suggestions. The results showed that the RSs had a high user acceptance in terms of utility, usability and satisfaction, and that the RSs significantly exceeded the performance achieved by the random recommendations.

关键词： Hybrid Recommender Systems Recommender model learning objects learning object repositories

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Metadata for Serious Games in learning object repositories

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IEEE REVISTA IBEROAMERICANA DE TECNOLOGIAS DEL APRENDIZAJE-IEEE RITA 2016年第2期11卷 95-100页

作者： Freire, Manuel Fernandez-Manjon, Baltasar Univ Complutense Madrid Dept Sofware Engn & Artificial Intelligence E-28040 Madrid Spain

In this paper, we describe the special challenges that educational games (also known as serious games) pose for online learning object (LO) repositories. As in all metadata, a tension exists between descriptive power and the effort needed to create these descriptions. This tension is even greater when describing complex, highly interactive multimedia content such as serious games. We consider serious games as LOs, proposing game-specific metadata, and advocate for game authoring tool support that streamlines its creation.

关键词： Game metadata learning objects educational games serious games learning object repositories

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Special Issue on Strategies to Improve the Usability of learning object repositories

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IEEE REVISTA IBEROAMERICANA DE TECNOLOGIAS DEL APRENDIZAJE-IEEE RITA 2016年第2期11卷 71-72页

作者： Casali, Ana Cechinel, Cristian Ochoa, Xavier Univ Nacl Rosario Dept Comp Sci Fac Ciencias Exactas Ingn & Agrimensura S2000BTP Rosario Santa Fe Argentina Univ Fed Pelotas Fac Educ BR-96010610 Pelotas Brazil Univ Fed Pelotas Comp Sci Grad Program BR-96010610 Pelotas Brazil Escuela Super Politecn Litoral Fac Elect & Comp Engn EC090150 Guayaquil Ecuador

The present editorial introduces a special issue of the IEEE-RITA journal devoted to Strategies to Improve the Usability of learning object repositories (LORs). This special issue is sponsored by the Ibero-American Program of Science and Technology for Development (CYTED) under the scope of the RIURE network (Ibero-American Network for Usability Educational repositories) code 513RT0471. This editorial briefly introduces some of the main usability problems we encounter in LORs nowadays and summarizes the subjects tackled by the selected articles.

关键词： learning object repositories usability learning resources

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Factors affecting faculty use of learning object repositories

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ELECTRONIC LIBRARY 2015年第6期33卷 1065-1078页

作者： Xu, Hong Texas A&M Univ Dept Res Commercializat & Outreach Corpus Christi TX USA

Purpose - The purpose of this study was to identify factors that motivate or impede faculty use of learning object repositories (LORs). The unified theory of acceptance and use of technology (UTAUT) served as the theoretical framework for this study. Design/methodology/approach - The study used both quantitative and qualitative approaches to explore two research questions relating to factors affecting faculty use of LORs. Research subjects were faculty users in two-or four-year colleges or universities from two LORs: Orange Grove and Wisconsin Online Resource Center (Wise-Online). Two phases of the study were conducted. Phase I of the study collected data by semi-structured interviews, and data were analyzed by a content analysis method. Based on the results of Phase I, Phase II collected data by a survey instrument, and data were analyzed by descriptive statistics and analysis of variance. Findings - The study identified 22 factors as motivators for faculty use of LORs and 13 factors as barriers for faculty use of LORs. Research limitations/implications - The research policies of Orange Grove and Wise-Online limited the selection of study participants. Lack of a random sample and a small sample size limited the generalizability of the results and findings of the study. However, as an exploratory research, the results and findings of the study are still valuable for LOR builders and managers to get a better understanding of factors affecting faculty use of LORs, and to develop strategies to recruit more faculty members to use LORs. Practical implications - The findings and results of the study can inform designers and of LORs about what positively or negatively influences faculty use of LORs, and serve as a basis to develop strategies to recruit faculty members to use LORs. Originality/value - First, this study identified the factors that motivate or impede faculty use of LORs from actual faculty users' perspectives, so these factors more accurately reflect LORs' va

关键词： Digital libraries Course design learning object repositories learning object

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Evaluating collaborative filtering recommendations inside large learning object repositories

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INFORMATION PROCESSING & MANAGEMENT 2013年第1期49卷 34-50页

作者： Cechinel, Cristian Sicilia, Miguel-Angel Sanchez-Alonso, Salvador Garcia-Barriocanal, Elena Fed Univ Pampa Comp Engn Course BR-96400970 Bage RS Brazil Univ Alcala Dept Comp Sci Madrid 28871 Spain

Collaborative filtering (CF) algorithms are techniques used by recommender systems to predict the utility of items for users based on the similarity among their preferences and the preferences of other users. The enormous growth of learning objects on the internet and the availability of preferences of usage by the community of users in the existing learning object repositories (LORs) have opened the possibility of testing the efficiency of CF algorithms on recommending learning materials to the users of these communities. In this paper we evaluated recommendations of learning resources generated by different well known memory-based CF algorithms using two databases (with implicit and explicit ratings) gathered from the popular MERLOT repository. We have also contrasted the results of the generated recommendations with several existing endorsement mechanisms of the repository to explore possible relations among them. Finally, the recommendations generated by the different algorithms were compared in order to evaluate whether or not they were overlapping. The results found here can be used as a starting point for future studies that account for the specific context of learning object repositories and the different aspects of preference in learning resource selection. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： Collaborative filtering evaluation learning object repositories Recommender systems learning objects

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Thinking semantic wikis as learning object repositories

Thinking semantic wikis as learning object repositories

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2nd International Workshop on learning and Education with the Web of Data, LiLe 2012 at WWW 2012

作者： Vidal, Juan Ignacio Fernández, Alejandro Díaz, Alicia Lifia Facultad de Informática UNLP 50 y 120 1900 La Plata Argentina Facultad de Ciencias Exactas e Ingeniería UCALP Argentina

Wikis have been extensively adopted in educational contexts becoming repositories of potentially reusable, self-contained learning units (commonly known as learning objects). Unfortunately, wikis lack of the packaging and metadata facilities that are needed to enable effective reuse of these units. In this article we propose an approach to use semantic wikis as learning object repositories, we discuss its challenges and its potential, and we present a conceptual model and its implementation based on the Semantic MediaWiki engine.

关键词： learning object repositories learning objects Semantic Wikis

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An augmented reality platform targeted to promote learning about Planetary Systems

An augmented reality platform targeted to promote learning a...

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International Symposium on Computers in Education (SIIE)

作者： Costa, M. C. Manso, A. Patricio, J. M. Carvalho, A. Alegria, B. Zinatulins, V Inst Politecn Tomar Tomar Portugal Inst Politecn Tomar Ci2 Smart Cities Res Ctr Tomar Portugal Univ Nova Lisboa UIED Unit Res Educ & Dev Lisbon Portugal

ISBN: (纸本)9781728131825

We present a mobile augmented reality platform targeted to promote learning about planetary systems. The architecture of this platform includes a mobile application and a back-office that allows teachers to choose the planetary system they intend to present to their students. Furthermore, they can introduce information about celestial bodies, such as stars or planets and develop a set of multiple-choice questions to assess student's learning about the subject matters they teach. Also, after playing the game, the data collected by the application is sent to the information system that processes it and makes it available to teachers. With these functionalities, this paper intends to propose this platform as a resource to he implemented in any level of school syllabus.

关键词： Mobile learning augmented reality collaborative learning environments learning object repositories astronomy

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Social models in open learning object repositories. A simulation approach for sustainable collections

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SIMULATION MODELLING PRACTICE AND THEORY 2011年第1期19卷 110-120页

作者： Sanchez-Alonso, Salvador Sicilia, Miguel-Angel Garcia-Barriocanal, Elena Pages-Arevalo, Carmen Lezcano, Leonardo Univ Alcala de Henares Dept Comp Sci Madrid 28871 Spain

learning object repositories (LOR) are digital collections of educational resources and/or metadata aimed at facilitating reuse of materials worldwide In open repositories resources are made available at no cost representing a case of information sharing with an implicit and diffuse social context In such settings quality control is in many cases based in some form of community filtering that provides a reliable basis for ranking resources when repositories reach a critical mass of users However there have been numerous repository initiatives and projects and many of them did not reached a significant degree of actual usage and growth that made them sustainable in the long term In consequence finding models for sustainable collections is a key Issue in repository research and the main problem behind that is understanding the evolution of successful repositories This in turn requires analyzing experimental models of the behavior of their users that are coherent with the available evidence on their structure and growth patters This paper provides a partial model for such behavior based on existing reported evidence and on the examination of patterns in a large and mature repository Agent-based simulation was chosen to allow for contrasting configurations with different parameters Simulations were devised with the RePast framework and the resulting model implementation constitutes an initial baseline for future studies aimed at contrasting empirical data on repository usage with their community setting The model described accounts for known user contribution patterns and it is coherent with the implicit social network structure found in an existing large LOR (C) 2010 Elsevier BV All rights reserved

关键词： learning object repositories Social networks Social filtering Simulation RePast

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