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20th International Symposium on Computers in Education (SIIE)

作者： Gayoso-Cabada, Joaquin Gomez-Albarran, Mercedes Sierra, Jose-Luis Univ Complutense Madrid Fac Informat Madrid Spain

ISBN: (纸本)9781538665053

Clavy is an experimental platform for the management of learning object repositories with dynamically reconfigurable structures. Clavy does not use a concrete metadata schema for repositories but allows repository authors to define the schema that best adapts to each repository. Clavy also promotes an iterative and incremental definition of the schemata, allowing repository authors to reconfigure them throughout their life cycle. So, Clavy integrates information management strategies capable of dealing with this constant change. In this sense, a critical component of Clavy is the browsing system, which allows the user of a repository to carry out the navigation guided by the structure of the schema. One of the strategies used in Clavy to support navigation is the combination of inverted indexes with a browsing cache. However, although this strategy adapts to the most common changes in the schemata it does not adapt to changes in the contents of the repositories (that is, the addition, modification or deletion of learning objects). This paper proposes an enhancement to solve this limitation, and evaluates the approach proposed in a concrete repository in the domain of archeology.

关键词： learning object repositories Browsing Indexing Inverted Indexes Cache

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Tag-Based Browsing of Digital Collections with Inverted Indexes and Browsing Cache 18

Tag-Based Browsing of Digital Collections with Inverted Inde...

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6th International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM)

作者： Gayoso-Cabada, Joaquin Gomez-Albarran, Mercedes Sierra, Jose-Luis Univ Complutense Madrid Fac Informat Madrid Spain

ISBN: (纸本)9781450365185

In this paper we describe one of the browsing strategies for learning object repositories implemented in the Clavy platform, a platform for the management of repositories with reconfigurable structures. Since Clavy makes it possible to dynamically modify the structure of the repositories, it must support a navigation model independent of that structure. For this purpose, the platform adopts a tag-based browsing model, according to which users select descriptive tags to filter learning objects (in Clavy, these descriptive tags correspond to element-value pairs). In our experience using Clavy, we have realized that updating the browsing state when the user changes the set of selected tags can be a costly process. The proposed strategy alleviates this cost by combining inverted indexes with a multilevel cache model that enables the system, on the one hand, to cache filtered objects (i.e., set of objects filtered by sets of selected tags), and, on the other hand, selectable tags (i.e., set of tags able to shrink sets of objects).

关键词： Browsing indexing inverted indexes cache strategies digital collections tag-based systems learning object repositories

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Predictive Analytics for learning and Usage of the Plant Sciences E-Library

Predictive Analytics for Learning and Usage of the Plant Sci...

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Computing Conference

作者： Nugent, Gwen Lester, Houston Guru, Ashu Kohmetscher, Amy Namuth-Covert, Deana Jolly, Sushma Univ Nebraska Lincoln Coll Educ & Human Sci Lincoln NE 68588 USA Univ Nebraska Lincoln Youth Dev 4H Lincoln NE USA Ohio State Univ Ohio State ATI Columbus OH 43210 USA Ohio State Univ CFAES Online Educ & Outreach Columbus OH 43210 USA Univ Nebraska Lincoln Online & Distance Educ Lincoln NE USA

ISBN: (纸本)9781509054435

This study examines learning and usage of the Plant Sciences E-Library (PASSEL, ***), a large international, open-source multidisciplinary learning object repository (7793 users from 14 countries). The analyses employ predictive analytics to isolate usage variables which predict learning from the instructional material. Specifically, the study focuses on student engagement as measured by total time online and time spent with different content modality material. This paper describes the analytic process, reports data on usage of learning object modules and module elements, identifies significant predictors of learning, and discusses future research directions.

关键词： E-learning learning analytics learning object repositories e-learning usage statistics

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Federated semantic search using terminological thesauri for learning object discovery

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JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT 2017年第5期30卷 795-808页

作者： Koutsomitropoulos, Dimitrios Solomou, Georgia Kalou, Katerina Univ Patras Dept Comp Engn & Informat Patras Greece

Purpose - The purpose of this paper is to propose a framework and system to address the inability to discover new and authentic learning material and the lack of a single access point for search and browsing of remote learning object repositories (LORs). Design/methodology/approach - The authors develop a framework for keyword-based query expansion using SKOS domain terminologies and implement a federated search mechanism integrating various disparate LORs within a learning management system (LMS). Findings - The authors show that the expanded query achieves improved information gain and it is applied for federated information access, by simultaneously searching within a number of repositories. Results can be seamlessly aggregated back within the LMS and the course context. Practical implications - It is possible to retrieve additional learning objects (LOs) and achieve a corresponding increase in recall, while maintaining precision. SKOS expansion behaves well in a scholarly setting, which, combined with federated search, can contribute toward LOs' discovery at a balanced cost. The system can be easily integrated with other platforms as well, building on open standards and RESTful communication. Originality/value - To the authors' knowledge, this is the first time SKOS-based query expansion is applied in a federated setting, and for the discovery and alignment of learning objects residing within LORs. The results show that this approach can achieve considerable information gain and that it is possible to strike a balance between search effectiveness, query drift and performance.

关键词： Federated search SKOS learning object repositories learning objects Reasoning Query expansion

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Faculty use of a learning object repository in higher education

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VINE JOURNAL OF INFORMATION AND KNOWLEDGE MANAGEMENT SYSTEMS 2016年第4期46卷 469-478页

作者： Xu, Hong Texas A&M Univ Div Res Commercializat & Outreach Corpus Christi TX 78412 USA

Purpose - The purpose of this study was to learn faculty's usage behavior in learning object repositories (LORs). Design/methodology/approach - This paper is a case study. Research subjects were the faculty users from an LOR: Wisconsin Online Resource Center. The study used a survey instrument to collect data from 92 respondents, and data were analyzed by descriptive statistics and a Fisher exact test. Findings - The study found four important channels by which the faculty learn about a LOR, six ways in which the faculty often use a LOR and an important factor affecting the faculty visiting a LOR. Research limitations/implications - Research subjects were from one LOR and non-probability sampling was used;thus, the generalization of findings may be limited. Practical implications - This study implemented advancing of the service and design of LORs from the perspectives of promotion, content development, connection to learning management systems and technology assistant. Social implications - The findings and results may be applied in practice to draw more faculty users toward learning object repository. Originality/value - The results and findings of the study contribute to understanding the faculty's needs for and usage patterns of using LORs, and provide foundations for designing strategies to increase faculty use of LORs.

关键词： Higher education Digital libraries E-learning learning object repositories learning objects Open education

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Predictive Analytics for learning and Usage of the Plant Sciences E-Library

Predictive Analytics for Learning and Usage of the Plant Sci...

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Computing Conference

作者： Gwen Nugent Amy Kohmetscher Houston Lester Deana Namuth-Covert Ashu Guru Sushma Jolly College of Education and Human Sciences University of Nebraska-Lincoln Ohio State ATI The Ohio State University Online Education and Outreach CFAES The Ohio State University 4-H Youth Development University of Nebraska-Lincoln Online & Distance Education University of Nebraska - Lincoln

ISBN: (纸本)9781509054442

关键词： E-learning learning analytics learning object repositories E-learning usage statistics

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Authenticity and versioning of learning objects using the digital signature infrastructure of Costa Rica 11

Authenticity and versioning of learning objects using the di...

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11th Latin American Conference on learning objects and Technologies (LACLO)

作者： Alpizar-Chacon, Isaac Chacon-Rivas, Mario Inst Tecnol Costa Rica TEC Digital Cartago Costa Rica

ISBN: (纸本)9781509061495

There are a large number of educational resources available on the Internet through different repositories. However, authenticity methods of learning objects has not been widely adopted by repositories, making it difficult to verify the authors of the content. To solve this problem, our goal is to aid users and authors of learning objects to have a trusted verification of authenticity and versioning of learning objects by applying digital signatures into the lifecycle of learning objects. In our propose, after a learning object is uploaded to a repository, the author presents his/her digital certificate, a special LOM record is created with the information from the author's certificate, and then it is signed to prove its authenticity. The signature is produced using digital certificates issued by the digital signature infrastructure of Costa Rica, which guarantees legal binding and trust over time. We hope to propose a generic framework than can be implemented in any repository.

关键词： learning objects Digital Signatures Authenticity learning object repositories

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Exploring user-based recommender results in large learning object repositories: the case of MERLOT

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Procedia Computer Science 2010年第2期1卷 2859-2864页

作者： Miguel-Ángel Sicilia Elena García-Barriocanal Salvador Sánchez-Alonso Cristian Cechinel Computer Science Department University of Alcal Ctra. Barcelona km. 33.6 Alcalá de Henares 28871 Spain Computer Engineering Course Federal University of Pampa Caixa Postal 07 Bagé 96400-970 Brazil

Collaborative filtering (CF) techniques have proved to be effective in their application to e-commerce and other application domains. However, their applicability to the recommendation of learning resources deserve separate attention as seeking learning resources can be hypothesized to be substantially different from selecting information resources or products for purchase. To date there are only a few scattered studies reporting on the application of well known user-based CF algorithms to learning object repositories. This paper reports an empirical study carried out by using MERLOT data and existing user-based CF algorithms. The aim of this preliminary study was that of finding evidence on accuracy measures of existing CF algorithms, and the relation of the items recommended with other elements of the repository. The results 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.

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

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Herding Linked Data: Semantic Search and Navigation Among Scholarly Datasets

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INTERNATIONAL JOURNAL OF SEMANTIC COMPUTING 2015年第4期9卷 459-482页

作者： Koutsomitropoulos, Dimitrios A. Solomou, Georgia D. Kalou, Aikaterini K. Univ Patras Comp Engn & Informat Dept High Performance Informat Syst Lab HPCLab Patras 26500 Greece

Linked Data seem to play a seminal role in the establishment of the Semantic Web as the next-generation Web. This is even more important for digital object collections and educational institutions that aim not only at promoting and disseminating their content but also at aiding its discoverability and contextualization. In this paper we show how repository metadata can be exposed as Linked Data, thus enhancing their machine understandability and contributing to the LOD cloud. We use a popular digital repository system, namely DSpace, as our deployment platform. Without requiring additional annotations that would harden the curation task, educational resources are semantically enhanced by reusing and transforming existing metadata values. Our effort comes complete with an updated UI that allows for reasoning-based search and navigation between linked resources within and outside the scope of the digital repository. Therefore ontological descriptions of resources can now be accessed from within the repository's core context, linked from outside datasets, link to external datasets and get discovered by semantic search.

关键词： LOD ontologies entity extraction reasoning learning object repositories

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Open educational resources repositories literature review - Towards a comprehensive quality approaches framework

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COMPUTERS IN HUMAN BEHAVIOR 2015年第PartB期51卷 1098-1106页

作者： Clements, Kati Pawlowski, Jan Manouselis, Nikos Univ Jyvaskyla Jyvaskyla 40014 Finland Ruhr West Univ Appl Sci Inst Informat Mulheim Germany Agroknow Athens 15235 Greece

Today, Open Educational Resources (OER) are commonly stored, used, adapted, remixed and shared within learning object repositories (LORs) which have recently started expanding their design to support collaborative teaching and learning. As numbers of OER available freely keep on growing, many LORs struggle to find sustainable business models and get the users' attention. Previous studies have shown that Quality assurance of the LORs is a significant factor when predicting the success of the repository. Within the study, we analysed technology enhanced learning literature systematically regarding LORs' quality approaches and specific collaborative instruments. This paper's theoretical contribution is a comprehensive framework of LOR quality approaches (LORQAF) that demonstrates the wide spectrum of possible approaches taken and classifies them. The purpose of this study is to assist LOR developers in designing sustainable quality assurance approaches utilizing full the potential of collaborative quality assurance tools. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： Open educational resources Collaborative learning environments Computer supported collaborative learning learning object repositories Quality assurance Literature review

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