A SCORM Compliant Courseware Authoring Tool for Supporting Pervasive Learning

2010 ◽  
pp. 557-580
Author(s):  
Te-Hua Wang ◽  
Flora Chia-I Chang
Keyword(s):  
Learning Environment ◽  
Reference Model ◽  
Authoring Tool ◽  
Multimodal Learning ◽  
Web Technologies ◽  
Digital World ◽  
Compliant Systems ◽  
Definition Of ◽  
Content Object ◽  
Pervasive Learning

The sharable content object reference model (SCORM) includes a representation of distance learning contents and a behavior definition of how users should interact with the contents. Generally, SCORM-compliant systems were based on multimedia and Web technologies on PCs. We further build a pervasive learning environment, which allows users to read SCORM-compliant textbooks with multimodal learning devices. Respecting the learning contents for supporting such learning environment, an efficient authoring tool was developed for serving this goal. Some specific tags were defined to specify the corresponding information or interactions that cannot be performed in the hardcopy books. These tags can be printed in SCORM-compliant textbooks and recognized by Hyper Pen to facilitate the affinity between the physical textbooks and digital world. Therefore, users can read the SCORM-compliant hardcopy textbooks in a traditional manner. The authored course contents will be the same while applying to the multimodal learning devices with different layouts.

A SCORM Compliant Courseware Authoring Tool for Supporting Pervasive Learning

2011 ◽  
pp. 40-62
Author(s):  
Te-Hua Wang ◽  
Flora Chia-I Chang
Keyword(s):  
Learning Environment ◽  
Reference Model ◽  
Authoring Tool ◽  
Multimodal Learning ◽  
Web Technologies ◽  
Digital World ◽  
Definition Of ◽  
Content Object ◽  
Traditional Manner ◽  
Pervasive Learning

The sharable content object reference model (SCORM) includes a representation of distance learning contents and a behavior definition of how users should interact with the contents. Generally, SCORMcompliant systems were based on multimedia and Web technologies on PCs. We further build a pervasive learning environment, which allows users to read SCORM-compliant textbooks with multimodal learning devices. Respecting the learning contents for supporting such learning environment, an efficient authoring tool was developed for serving this goal. Some specific tags were defined to specify the corresponding information or interactions that cannot be performed in the hardcopy books. These tags can be printed in SCORM-compliant textbooks and recognized by Hyper Pen to facilitate the affinity between the physical textbooks and digital world. Therefore, users can read the SCORM-compliant hardcopy textbooks in a traditional manner. The authored course contents will be the same while applying to the multimodal learning devices with different layouts.

T-SCORM

2014 ◽  
pp. 94-119
Author(s):  
Francisco Miguel da Silva ◽  
Francisco Milton Mendes Neto ◽  
Aquiles Medeiros Filgueira Burlamaqui ◽  
João Phellipe Freitas Pinto ◽  
Carlos Evandro de Medeiros Fernandes ◽  
...  
Keyword(s):  
Distance Learning ◽  
Teaching And Learning ◽  
Reference Model ◽  
Learning Objects ◽  
Authoring Tool ◽  
Digital Television ◽  
E Learning ◽  
Content Object ◽  
Educational Contents ◽  
Object Reference

Interactive Digital Television (iDTV) has facilitated and expanded the communication and interaction in activities of knowledge acquisitions, entertainment, and recreation in the distance learning field. This new way of teaching and learning has been called t-Learning. In this context, the Learning Objects (LOs) have an important role in assisting in the electronic courses' development. Due the fast progress of e-Learning, some efforts toward standardization have appeared in order to enable the reusability of educational contents and interoperability among systems, and one of these standards is the Sharable Content Object Reference Model (SCORM). Therefore, the main goal of this work is to present an extension of SCORM aiming to adapt it to improve the search and navigation of LOs with educational content for t-Learning. This is done through an authoring tool named T-SCORM ADAPTER, which is able to apply this extension in a fast and efficient way.

Development and Evaluation of Fuzzy Criteria for the Diagnosis of Rheumatoid Arthritis

1996 ◽  
Vol 35 (04/05) ◽  
pp. 334-342 ◽  
Author(s):  
K.-P. Adlassnig ◽  
G. Kolarz ◽  
H. Leitich
Keyword(s):  
Rheumatoid Arthritis ◽  
Reference Model ◽  
American Rheumatism Association ◽  
Uniform Definition ◽  
Sensitivity Rate ◽  
Fuzzy Techniques ◽  
Definition Of ◽  
Different Levels ◽  
Specificity Rate

Abstract:In 1987, the American Rheumatism Association issued a set of criteria for the classification of rheumatoid arthritis (RA) to provide a uniform definition of RA patients. Fuzzy set theory and fuzzy logic were used to transform this set of criteria into a diagnostic tool that offers diagnoses at different levels of confidence: a definite level, which was consistent with the original criteria definition, as well as several possible and superdefinite levels. Two fuzzy models and a reference model which provided results at a definite level only were applied to 292 clinical cases from a hospital for rheumatic diseases. At the definite level, all models yielded a sensitivity rate of 72.6% and a specificity rate of 87.0%. Sensitivity and specificity rates at the possible levels ranged from 73.3% to 85.6% and from 83.6% to 87.0%. At the superdefinite levels, sensitivity rates ranged from 39.0% to 63.7% and specificity rates from 90.4% to 95.2%. Fuzzy techniques were helpful to add flexibility to preexisting diagnostic criteria in order to obtain diagnoses at the desired level of confidence.

Developing a Reference Model to Describe the Personal Learning Environment

2006 ◽  
pp. 506-511 ◽  
Author(s):  
Colin D. Milligan ◽  
Phillip Beauvoir ◽  
Mark W. Johnson ◽  
Paul Sharples ◽  
Scott Wilson ◽  
...  
Keyword(s):  
Learning Environment ◽  
Reference Model ◽  
Personal Learning ◽  
Personal Learning Environment

Virtual Academic Advising in Challenging Times

2020 ◽  
pp. 184-196
Author(s):  
Georgina Argüello
Keyword(s):  
Distance Education ◽  
Learning Environment ◽  
Academic Advising ◽  
Colleges And Universities ◽  
Academic Advisors ◽  
Education Students ◽  
Technology Tools ◽  
New Learning ◽  
Technology Applications ◽  
Definition Of

With the rapid shift to remote learning because of the pandemic, the academic advisors of colleges and universities had to adapt and change some of the ways they were advising the traditional higher education students. In this new normal, where social distance needs to be present and non-traditional education takes precedence in the learning environment, academic advisors had to rapidly adjust and use different technology tools of virtual advising. Over the past few years, colleges and universities that offer distance education programs have been struggling in engaging and retaining their non-traditional online learners. However, with the pandemic, these institutions may encounter the challenge of not only retaining the non-traditional students but also, the new distance learners. Therefore, academic advisors will need to use creative ways of providing advising services in this new learning environment. Many studies have demonstrated that virtual advising has been helpful to aid the distance education students. Virtual advising uses different technology applications and platforms. Using it correctly can help students and advisors with the registration cycles and with any other concerns the students may have. In this chapter, the author explains academic advising and the role of an advisor, the definition of virtual advising, the importance of combining the different approaches of academic advising into virtual advising, and the different technology tools that can assist academic advisors when doing their job of supporting the students in the new learning environment.

Principles of Effective E-Learning

2014 ◽  
pp. 150-165
Author(s):  
Matthew Kolakowski ◽  
Paul Bishop
Keyword(s):  
Reference Model ◽  
Traditional Learning ◽  
Global Business ◽  
Business Outcomes ◽  
Face To Face ◽  
Training Requirements ◽  
E Learning ◽  
Instructional Management Systems ◽  
Content Object ◽  
Organizational Value

What are the primary principles of effective e-learning and the subsequent impact on leadership in global business as digital technologies mediums continue to emerge within academia and the workplace? Maxwell (2013) defines this principle as “instructional practices and internet capabilities that direct learners toward a specified level of proficiency and competency in the shortest amount of time” (p. 89). Traditional learning measures that require extensive face to face interaction no longer fit Maxwell's description and inhibit audiences that require flexibility in obtaining proficiency on tasks like annual training requirements and sustaining Continuing Education Units (CEUs) for certifications. This chapter introduces the foundation of e-learning parameters, Sharable Content Object Reference Model (SCORM), Instructional Management Systems (IMS), and how these mediums interact with learners in conjunction with its impact on leadership, business outcomes, and organizational value.

Personal/Cloud Learning Environment, Semantic Web 3.0, and Ontologies

2015 ◽  
pp. 119-146
Keyword(s):  
Learning Environment ◽  
Semantic Web ◽  
Learning Environments ◽  
Environmental Sustainability ◽  
Teaching And Learning ◽  
Personal Learning ◽  
Web 3.0 ◽  
Digital World ◽  
New Vision ◽  
Multiple Challenges

In the era of digital world that we live in, a new vision for learning is required. Learning is essentially personal, sociocultural, distributed, ubiquitous, flexible, dynamic, and complex in nature. There are multiple challenges, opportunities, and movements in learning that must be considered in the development and implementation of online learning environments. From the emerging computational capacity as a virtualized resource pool available over the network, several benefits can be obtained with regard to the management of computing infrastructures, such as environmental sustainability and improved Personal/Cloud Learning Environment use. In fact, Personal learning environments, Cloud computing, Semantic Web 3.0 and Ontologies are relatively new terms that hold considerable promise for future development and research in higher education contexts. Motivated by the aforementioned perspectives, the purpose of this chapter is to explore and discuss how these terms can be understood towards a more personalized, sociocultural, open, dynamic and encouraging model to support/facilitate teaching and learning processes, fulfilling the integrated view of the educational context presented in Part I of this book.

Towards a Flexible Cloud Education Environment

2016 ◽  
pp. 133-158
Author(s):  
Rocael Hernandez Rizzardini ◽  
Christian Gütl
Keyword(s):  
Cloud Services ◽  
Semantic Web Technologies ◽  
Holistic Model ◽  
Web 2.0 Tools ◽  
Web Technologies ◽  
Education Environment ◽  
E Learning ◽  
Definition Of ◽  
And Training ◽  
Semantic Definition

Web 2.0 tools offer innovative technologies for learning and training, and it exists a strong pedagogical foundation to include such tools in education. As a consequence of its more widespread usage arise issues in the context of managing these cloud services, such as to create adapted instances tool resources, to assign such resources to teachers and learners, and others. Web and educational interoperability technologies have provided initial paths toward building this type of e-Learning 3.0 cloud education environments, however, fundamental challenges remain such as granular tool resources management, and the lack of use of Semantic Web technologies to leverage automatic machine-processable tool API. To overcome these issues, an holistic model for flexible interoperability is contributed in this chapter. Covered aspects includes a semantic definition of tools' API, an interoperability service framework capable to automatically process APIs, a semantic proxy that enables usage of current APIs, and a system for learning activities orchestration using these tools. Furthermore, advanced semantic technologies to support the model for flexible interoperability are analyzed.

An Adaptive System for Retrieval and Composition of Learning Objects

2011 ◽  
Vol 2 (4) ◽  
pp. 42-59
Author(s):  
Burasakorn Yoosooka ◽  
Vilas Wuwongse
Keyword(s):  
Adaptive System ◽  
Reference Model ◽  
Learning Objects ◽  
Preliminary Evaluation ◽  
Learner Characteristics ◽  
New Approach ◽  
Automatic Retrieval ◽  
Hypermedia System ◽  
Content Object ◽  
Object Reference

This paper proposes a new approach to automatic retrieval and composition of Learning Objects (LOs) in an Adaptive Educational Hypermedia System (AEHS) using multidimensional learner characteristics to enhance learning effectiveness. The approach focuses on adaptive techniques in four components of AEHS: Learning Paths, LO Retrieval, LO Sequencing, and Examination Difficulty Levels. This approach has been designed to enable the adaptation of rules to become generic. Hence, the application to various domains is possible. The approach dynamically selects, sequences, and composes LOs into an individual learning package based on the use of domain ontology, learner profiles, and LO metadata. The Sharable Content Object Reference Model is employed to represent LO metadata and learning packages in order to support LO sharing. The IMS Learner Information Package Specification is used to represent learner profiles. A preliminary evaluation of the developed system indicates the system’s effectiveness in terms of learners’ satisfaction.

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