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2008
AI
The paper presents a novel triangular model for Adaptive Hypermedia Systems (AHS) to enhance the adaptability of e-learning courseware. This model refines the traditional AHAM reference model by separating the learner, content, and adaptation models into three distinct sub-models, facilitating flexible and personalized content delivery based on individual learner characteristics. The architecture supports various adaptation techniques and emphasizes metadata-driven approaches, aiming to improve interoperability and consistency in adaptive learning environments.
Authoring Tools for Advanced Technology Learning …, 2003
Proceedings of ED-MEDIA, 1995
Journal of Computing and Information Technology, 2005
Adaptive hypermedia courseware systems resolve the problem of users' disorientation in hyperspace through the adaptive navigation and presentation support. We describe the AHyCo (Adaptive Hypermedia Courseware)-an adaptive Web-based educational system for creation and reuse of adaptive courseware with emphasis on adaptive navigation support and lessons sequencing. The proposed model consists of the domain model, the student model, and the adaptive model. The system is composed of two environments: the authoring environment and the learning environment.
International Journal of …, 2010
The domain of traditional hypermedia is revolutionized by the arrival of the concept of adaptation. Currently the domain of Adaptive Hypermedia Systems (AHS) is constantly growing. A major goal of current research is to provide a personalized educational experience that meets the needs specific to each learner (knowledge level, goals, motivation etc...). In this article we have studied the possibility of implementing traditional features of adaptive hypermedia in an open environment, and discussed the standards for describing learning objects and architectural models based on the use of ontologies as a prerequisite for such an adaptation.
Proc. of IADATe-2004, Bilbao, Spain, 2004
The e-learning systems can adapt courseware contents in a way based on a model of goals, preferences and knowledge of each individual user, which he/she demonstrates during the overall learning process. While goals and preferences can use adaptation forms such as a questionnaire for determining the user stereotype, more advanced Learning Management Systems (LMS) can also adapt the learning process based on the behaviour of the user during the course. All this information about user preferences, knowledge and behaviour is accumulated and treated in a user model which is a kind of repository about the user and forms the hearth of a learner centric and adaptable system. Adaptive hypertext provides authors of LMS with a powerful solution of the problems of selecting information that is appropriate to the diverse needs of users, and it is most commonly implemented in e-learning systems. The most important adaptive techniques are adaptive navigation support, adaptive presentation and adaptive content selection. They are included in two modern approaches for selecting courseware material to be presented to learners: Adaptive Hypermedia (AH) and IMS Simple Sequencing (SS). The paper describes the differences between these two approaches and tries to select the best features of each one in order to create a common and powerful model for adaptive e-learning system. As a result of our comparison, we propose a model providing dynamic course generation techniques in order to generate appropriate course sequences for adaptive user understanding of the subject domain. Next, we show how this model can be applied in the ARCADE (Architecture for Reusable Courseware Authoring and Delivery) platform, which has been developed and is currently widely used in Sofia University.
Lecture notes in …, 2002
2011
Majority of the online educational systems provide same content to all the learners without considering their personal needs, goals and educational background. This makes the learning process more difficult and boring. Adaptive hypermedia can enhance the quality of these systems through personalisation or customisation. Adaptive hypermedia based educational system (AHES) builds learners’ profile as a learner model and then presents the content to them according to their preferences and previous educational record. Development of AHES is a lengthy and difficult process because it involves implementation of adaptation along with development of communication tools and digital library etc. To make this process easy, different authoring tools or frameworks are available like AHA!, InterBook, NetCoach and COFALE. In this paper, their analysis and comparison are described through which selection of a framework to develop better quality AHES becomes easy.
In this paper we focus on adaptive instruction and especially on the educational perspective that should underlie the development of web-based Adaptive Educational Hypermedia (AEH) systems used for Internet-based distance education. A design rational and guidelines are proposed for adaptive instruction in the context of AEH systems, which unify several processes that formulate system's adaptation such as structuring the domain knowledge, developing the content, planning individualised instruction and support, assessment, and learner control opportunities. The main aim of this approach is to incorporate a variety of pedagogical models and learning theories in order to accommodate the diversity needs and perspectives of learners and teachers. Paradigms of the way these guidelines have been implemented mainly in INSPIRE (INtelligent System for Personalized Instruction in a Remote Environment) as well as in other AEH systems, are provided. Finally results from an expert review of INSPIRE's instructional design are also reported.
Advanced Technology for Learning, 2004
A number of studies in traditional class based education show that students whose learning styles match with the instructional approach "tend to retain information longer, apply it more effectively, and have more effective post course attitudes towards the subject than do their counterparts who experience learning/teaching mismatch. Thus, the goals of a "good instructor" should be both to adapt, at some degree and at least part of the time, his or her instructional approach according to students' learning preferences, and to help students build their skill in their preferred and less preferred learning modes. Taking for granted that in a "student-centered" hypermedia learning environment, learning preferences and design of hypermedia learning applications should be also related, this paper aims to define the structure of the hypermedia design patterns that provide solutions to the problem of how to best support learning preferences via educational hypermedia applications and more specifically via adaptive/adaptable educational hypermedia applications.
Most approaches to adaptive hypermedia were based around acquiring and representing learner's knowledge. While this is crucial for user modelling in general adaptive hypermedia, it is very limited for e-learning because it does not address the far more fundamental problem which is "learners learn in different ways, different learning styles and different thinking styles". The design of adaptive e-learning hypermedia system (AEHS) in this work is based on quantitative and qualitative research; the adaptive rules are deduced from the results of a psychological and pedagogical questionnaire. Pedagogical activities are the outcome of a series of deductions; the final activity sets are manifested in AEHS. In order to assess the positive effect and validity of adaptation on the basis of learners' thinking and learning styles, this study presents two subsequent experiments. The first experiment explores the relationship of thinking style and pedagogical activities to validate this specific psychological construct in the context of educational hypermedia. The second experiment presents the effect of a set of human factors (thinking style, learning style) in AEHS.
Adaptive hypermedia is a new area of research at the crossroads of hypermedia, adaptive systems, and intelligent tutoring systems. Educational hypermedia systems is cirrently the most popular kind of adaptive hypermedia. The goal of this paper is to uncover the secrets of authoring adaptive educational hypermedia. The paper provides a clear structured view on the process of adaptive hypermedia authoring starting from the early design stage. It also reviews a few modern adaptive hypermedia authoring systems that are oriented to educational practitioners.
Advanced Methodologies and Technologies in Modern Education Delivery, 2019
The purpose of adaptive educational hypermedia systems (AEHS) is to provide each learner with learning experiences that have been specially tailored to their specific learning requirements. While the concept of AEHS appears promising, AEHS are very complex systems to design and develop. This chapter reviews a few of the challenges encountered in the design and development of these complex systems and some of the challenges encountered by educators who propose to use AEHS with their students. A number of the skills required by educators to develop positive learning experiences are discussed. In order to successfully use AEHS, educators must decide on what student characteristics to base the adaptive elements of the course. Educators may feel challenged to show the impact that AEHS can have on the learning experience. Educators may have a dilemma in deciding to allow or not to allow (1) student access to their user model and (2) students to edit their user model. Further research is r...
Adaptive Technologies for Training and Education, 2012
Adaptive hypermedia is a relatively new direction in research at the crossroads of hypermedia and user modeling. Adaptive hypermedia systems build a model of the goals, preferences and knowledge of each individual user and use this model throughout the interaction with the user, in order to adapt to the needs of that user. Educational hypermedia was one of the first application areas for adaptive hypermedia and is currently one of the most popular and well-investigated. The goal of this presentation is to explain the nature and the mechanism of adaptation in educational adaptive hypermedia and to provide several examples of using adaptive hypermedia in educational and training applications of different natures and complexity.
D. University of Craiova, 2008
Today's e-learning is dominated by the Learning Management Systems (LMS), such as Blackboard, Moodle, ATutor or dotLRN; these represent integrated systems which offer support for a wide area of activities in the e-learning process. Thus teachers can use LMS for the creation of courses and test suites, for communicating with the students, for monitoring and evaluating their work; students can learn, communicate and collaborate by means of LMS.
Educational hypermedia systems seek to provide adaptive naviga-tion, whereas intelligent web-based learning systems seek to provide adaptive courseware generation. The design of powerful authoring frameworks by merg-ing the authoring approaches used in the above mentioned systems is recog-nized as one of the most interesting questions in adaptive web-based educa-tional systems. In this paper we address adaptive hypermedia authoring propos-ing an authoring framework that combines the approach of automatic course-ware generation with the paradigm of educational hypermedia systems based on the use of ontologies and learning object metadata.
Environment
The research interests of the Educational and Language Technology Group are: (i) Adaptive and Intelligent Learning Environments & Distance Learning: artificial and computational intelligence methods in knowledge representation and learner modeling, instructional design, computersupported collaborative learning environments, agent-based architectures, (ii) Educational Software, and (iii) Language Technology. The research group involved in the area of Adaptive Educational Hypermedia Systems includes: Maria Grigoriadou (Head of the group, Associate Prof. Univ. of Athens), and the research assistants, Kyparisia Papanikolaou (PhD and also affiliated with the Univ. of Piraeus), Grammatiki Tsaganou (PhD), Evangelia Gouli (MSc., PhD Candidate), Agoritsa Gogoulou (MSc., PhD Candidate), Stefanos Ziovas (MSc., PhD Candidate). More information on the activities of the group can be found on http://hermes.di.uoa.gr
Adaptive hypermedia is a relatively new direction in research at the crossroads of hypermedia and user modeling. Adaptive hypermedia systems build a model of the goals, preferences and knowledge of each individual user and use this model throughout the interaction with the user, in order to adapt to the needs of that user. Educational hypermedia was one of the first application areas for adaptive hypermedia and is currently one of the most popular and well-investigated. The goal of this presentation is to explain the nature and the mechanism of adaptation in educational adaptive hypermedia and to provide several examples of using adaptive hypermedia in educational and training applications of different natures and complexity.
Fourth International Conference on Information, Communications and Signal Processing, 2003 and the Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint, 2003
Adaptive hypermedia system is a result from research on Adaptive hypermedia and User Modeling. This system is divided into different types. There are educational hypermedia, on-line help systems, information retrieval hypermedia, institutional hypermedia, and systems for managing personalized views in information spaces. Adaptive hypermedia systems build model of the goals, preferences and knowledge of each individual user, and use this model throughout the interaction with the user, in order to adapt to the needs of that user. The goal of this paper is to present literature review of Adaptive Educational Hypermedia Systems including the architecture, approaches and techniques involved in building it.
2006
In this paper we focus on adaptive instruction and especially on the educational perspective that should underlie the development of web-based Adaptive Educational Hypermedia (AEH) systems used for Internet-based distance education. A design rational and guidelines are proposed for adaptive instruction in the context of AEH systems, which unify several processes that formulate system's adaptation such as structuring the domain knowledge, developing the content, planning individualised instruction and support, assessment, and learner control opportunities. The main aim of this approach is to incorporate a variety of pedagogical models and learning theories in order to accommodate the diversity needs and perspectives of learners and teachers. Paradigms of the way these guidelines have been implemented mainly in AEH systems, are provided.
2008
This paper reports about the recent advances towards establishing a common platform for adaptive educational hypermedia (AEH) authoring. We present the conversion from MOT, a dedicated authoring system, to AHA! used in this context as delivery system for AEH. Moreover, we describe two new representation languages that emerged in the process: a common format for defining the static material, CAF, and an extended adaptation language for the description of the dynamic behaviour, LAG. Finally, some evaluations are shown and conclusions are drawn.
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