scholarly journals Learning Objects Recommendation System: Issues and Approaches for Retrieving, Indexing and Recomend Learning Objects

Author(s):  
Ricardo Azambuja Silveira ◽  
Rafaela Lunardi Comarella ◽  
Ronaldo Lima Rocha Campos ◽  
Jonas Vian ◽  
Fernando De La Prieta

This paper discusses some important issues regarding the the management of Learning objects covering searching over repositories and different approaches of recommendation systems and presents a multiagent system based application model for indexing, retrieving and recommending learning objects stored in different and heterogeneous repositories. The objects within these repositories are described by filled fields using different metadata (data about data) standards. The searching mechanism covers several different learning object repositories and the same object can be described in these repositories by the use of different types of fields. Aiming to improve accuracy and coverage in terms of recovering a learning object and improve the relevance of the results we propose an information retrieval model based on a multiagent system approach and an ontological model to describe the covered knowledge domain.

Respuestas ◽  
2012 ◽  
Vol 17 (2) ◽  
pp. 21-30
Author(s):  
Ronaldo Lima Rocha Campos ◽  
Rafaela Lunardi Comarella ◽  
Ricardo Azambuja Silveira

This paper proposes a multiagent system application model for indexing, retrieving and recommendation learning objects stored in different and heterogeneous repositories. The objects within these repositories are described by filled fields using different metadata standards. The searching mechanism covers several different learning object repositories and the same object can be described in these repositories by the use of different types of fields. Aiming to improve accuracy and coverage in terms of recovering a learning object and improve the signification of the results we propose an information retrieval model based on the multiagent system approach and an ontological model to describe the knowledge domain covered.Keywords: AI in education, multi-agent systems, learning objects, recommendation systems. 


10.28945/2565 ◽  
2002 ◽  
Author(s):  
Griff Richards ◽  
Rory McGreal ◽  
Norm Friesen

Repositories provide mechanisms to encourage the discovery, exchange and re-use of learning objects. This paper describes Portals for On-line Objects in Learning (POOL), a consortium project of the TeleLearning NCE to build a learning object repository scalable to the national level. Funded in part by the Canarie Learning Program, POOL contributes to the development of two focal technologies: “POOL POND and SPLASH” a distributed architecture for a peer-to-peer network of learning object repositories, and CanCore, a practical metadata protocol for cataloguing learning objects.


Learning Object Repositories (LORs) are a core element of the Opening up Education movement around the word. Despite, the wide efforts and investments in this topic, still most of the existing LORs are designed mainly as digital libraries that facilitate discovery and provide open access to educational resources in the form of Learning Objects (LOs). In that way, LORs include limited functionalities of Knowledge Management Systems (KMSs) for organizing and sharing educational communities’ explicit and tacit knowledge around the use of these educational resources. In our previous work, an initial study of examining LORs as KMSs has been performed and a master list of 21 essential LORs’ functionalities has been proposed that could address the issue of organizing and sharing educational communities’ knowledge. In this paper, we present a quantitative analysis of the functionalities of forty-nine (49) major LORs, so as (a) to measure the adoption level of the LORs’ functionalities master list and (b) to identify whether this level influences LORs’ growth as indicated by the development over time of the number of the LOs and the number of registered users that these LORs include.


Author(s):  
Sandra Wills ◽  
Anne McDougall

This study tracks the uptake of online role play in Australia from 1990 to 2006 and the affordances to its uptake. It examines reusability, as one affordance to uptake, from the perspective of two often polarized constructs: learning object and learning design. The study treats “reuse” in two ways: reuse of an existing online role play and reuse of an online role play as the model for another role play. The first type of reuse implies the online role play is a learning object and the second type implies the online role play derives from a learning design. Online role play consists of a scenario and a set of roles that students adopt in order to collaboratively solve a problem, create something, or explore an issue via e-mail or a combination of e-mail and Web-based threaded discussion forum. Thirty-six role plays of this type were identified in Australian universities of which 80% were reuse of a learning design. Only three examples of role play as a learning object were found, suggesting that learning design is a useful concept for understanding how to support reusability in universities. Other affordances to uptake of role play were also tracked. This indicated that the contribution of educational developers far outweighed that of academic colleagues, conferences, journals, and engines. The results have implications for the work practices of educational developers and for managers of learning object repositories.


Author(s):  
Adriano Pereira ◽  
Iara Augustin

Emotions play a very important role in the learning process. Affective computing studies try to identify users’ affective state, as emotion, using affect models and affect detection techniques, in order to improve human-computer interactions, as in a learning environment. The Internet explosion makes a huge volume of information, including learning objects data, available. In this scenario, recommendation systems help users by selecting and suggesting probable interesting items, dealing with large data availability and decision making problems, and customizing users’ interaction. In u-learning context, students could learn anywhere and anytime, having different options of data objects available. Since different students have different preferences and learning styles, personalization becomes an important feature in u-learning systems. Considering all this, the authors propose the Affective-Recommender, a learning object recommendation system. In this chapter, they describe the system’s requirements and architecture, focusing on affect detection and the recommendation algorithm, an example of use case, and results of system implementation over Moodle LMS.


2017 ◽  
Vol 70 (3) ◽  
pp. 572-579 ◽  
Author(s):  
Pétala Tuani Candido de Oliveira Salvador ◽  
Manacés dos Santos Bezerril ◽  
Camila Maria Santos Mariz ◽  
Maria Isabel Domingues Fernandes ◽  
José Carlos Amado Martins ◽  
...  

ABSTRACT Objective: To analyze the concept of virtual learning object and environment according to Rodgers' evolutionary perspective. Method: Descriptive study with a mixed approach, based on the stages proposed by Rodgers in his concept analysis method. Data collection occurred in August 2015 with the search of dissertations and theses in the Bank of Theses of the Coordination for the Improvement of Higher Education Personnel. Quantitative data were analyzed based on simple descriptive statistics and the concepts through lexicographic analysis with support of the IRAMUTEQ software. Results: The sample was made up of 161 studies. The concept of "virtual learning environment" was presented in 99 (61.5%) studies, whereas the concept of "virtual learning object" was presented in only 15 (9.3%) studies. Conclusion: A virtual learning environment includes several and different types of virtual learning objects in a common pedagogical context.


Author(s):  
Gail Kopp ◽  
Susan Crichton

This research explores the idea of embedding and linking to existing content in learning object repositories and investigates teacher-designer use of learning objects within one high school mathematics course in an online school. This qualitative case study supports and extends the learning object literature, and brings forward context-specific examples of issues around repository design, autonomy and self-containment, technical support and granularity. Moreover, these findings have implications for building learning objects and repositories that could better support teachers in their instructional design and pedagogical decision-making. Résumé : La présente recherche étudie la possibilité d’effectuer un emboîtement et d’établir des liens avec le contenu existant dans les référentiels sur les objets d’apprentissage et explore l’utilisation par les enseignants-concepteurs des objets d’apprentissage au sein d’un cours de mathématique du secondaire donné dans une école en ligne. Cette étude de cas qualitative appuie et vise la littérature sur les objets d’apprentissage et met en avant plan des exemples de questions touchant la conception de référentiels, l’autonomie et l’indépendance, le soutien technique et la granularité propres au contexte. De plus, ces conclusions ont des répercussions sur l’élaboration d’objets et de référentiels d’apprentissage qui pourraient mieux appuyer les enseignants dans le cadre de leur conception pédagogique et de leur prise de décision touchant l’enseignement.


Author(s):  
Silvia Margarita Baldiris Navarro ◽  
Sabine Graf ◽  
Ramon Fabregat ◽  
Nestor Darío Duque Méndez

<p>Learning object economies are marketplaces for the sharing and reuse of learning objects (LO). There are many motivations for stimulating the development of the LO economy. The main reason is the possibility of providing the right content, at the right time, to the right learner according to adequate quality standards in the context of a lifelong learning process; in fact, this is also the main objective of education. However, some barriers to the development of a LO economy, such as the granularity and editability of LO, must be overcome. Furthermore, some enablers, such as learning design generation and standards usage, must be promoted in order to enhance LO economy. For this article, we introduced the integration of distributed learning object repositories (DLOR) as sources of LO that could be placed in adaptive learning designs to assist teachers’ design work. Two main issues presented as a result: how to access distributed LO, and where to place the LO in the learning design. To address these issues, we introduced two processes: LORSE, a distributed LO searching process, and LOOK, a micro context-based positioning process, respectively. Using these processes, the teachers were able to reuse LO from different sources to semi-automatically generate an adaptive learning design without leaving their virtual environment. A layered evaluation yielded good results for the process of placing learning objects from controlled learning object repositories into a learning design, and permitting educators to define different open issues that must be covered when they use uncontrolled learning object repositories for this purpose. We verified the satisfaction users had with our solution.</p>


10.28945/2908 ◽  
2005 ◽  
Author(s):  
Permanand Mohan

In order to reuse learning objects created by others, they must be made available to potential users on the Web, and services must be provided to allow users to discover, obtain rights to, and use these learning objects in their own instructional scenarios. In the learning object economy, these services are typically provided by learning object repositories, which are collections of learning objects that are accessible to users via a network without prior knowledge of the structure of the collections. This chapter discusses the important role played by learning object repositories in the learning object economy. The success of the learning objects' approach depends on users worldwide (such as instructors, learners, and software agents) being able to access and search for learning objects in different repositories in a uniform manner. The first part of the chapter explains how this can be achieved using a standardized approach for accessing and describing learning objects in a repository. Standardized access and retrieval is facilitated by implementing a specification from the IMS known as the Digital Repositories Interoperability (DRI) specification, while standardized search and discovery is facilitated by implementing a metadata standard such as the IEEE Learning Object Metadata (LOM) standard, described earlier in the book. There are different architectural approaches and business models that can be employed when designing a learning object repository and these are discussed next in the chapter. Typical architectural choices include using a centralized repository based on the client/server approach versus using several local repositories connected in a peer-to-peer fashion. Typical choices for business models include using an online broker for advertising and receiving payment for learning objects versus making the learning objects freely available. The advantages and disadvantages of the different approaches and models are carefully examined, and concrete examples of research prototypes and real-world deployments are provided wherever appropriate.


2005 ◽  
Vol 21 (3) ◽  
Author(s):  
Martha Cleveland-Innes ◽  
Rory McGreal ◽  
Terry Anderson ◽  
Norm Friesen ◽  
Mohamed Ally ◽  
...  

<span>Athabasca University - Canada's Open University (AU) made the commitment to put all of its courses online as part of its Strategic University Plan. In pursuit of this goal, AU participated in the eduSource project, a pan-Canadian effort to build the infrastructure for an interoperable network of learning object repositories. AU acted as a leader in the eduSource work package, responsible for the metadata and standards for learning objects. In addition, the team of professionals, academics, librarians and other researchers worked to create an accessible repository of learning objects across university departments and subjects. Most critically, the team worked beyond the development of a learning object repository and considered the adaptation of content and related applications, pedagogical approaches and the use of learning objects by instructional designers, faculty and the learners themselves. This paper describes one institution's approach to learning object repository development, from a technical and pedagogical perspective, along with some of the lessons learned during the process.</span>


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