1,430 research outputs found

    Interactive Videos vs. Hypertext Documents – The Effect on Learning Quality and Time Effort when Acquiring Procedural Knowledge

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    The use of information systems and the rise of new learning concepts have changed the way individuals are acquiring knowledge in organizational, educational and private contexts. Recently, video tutorials have become a widely-used instrument for learning and successful platforms emerged, offering massive open online courses based on video content. With the existence of different learning technologies the question arises: How these media formats affect the learning performance of individuals? We introduce interactive videos as a new media format and compare this technology to hypertext documents in an educational context. Our results from an experiment with 130 participants reveal that the learning quality can be significantly increased when interactive videos are used to acquire procedural knowledge. However, we did not observe any effect on time effort

    Explorations in multimodal information presentation

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    Web Data Extraction, Applications and Techniques: A Survey

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    Web Data Extraction is an important problem that has been studied by means of different scientific tools and in a broad range of applications. Many approaches to extracting data from the Web have been designed to solve specific problems and operate in ad-hoc domains. Other approaches, instead, heavily reuse techniques and algorithms developed in the field of Information Extraction. This survey aims at providing a structured and comprehensive overview of the literature in the field of Web Data Extraction. We provided a simple classification framework in which existing Web Data Extraction applications are grouped into two main classes, namely applications at the Enterprise level and at the Social Web level. At the Enterprise level, Web Data Extraction techniques emerge as a key tool to perform data analysis in Business and Competitive Intelligence systems as well as for business process re-engineering. At the Social Web level, Web Data Extraction techniques allow to gather a large amount of structured data continuously generated and disseminated by Web 2.0, Social Media and Online Social Network users and this offers unprecedented opportunities to analyze human behavior at a very large scale. We discuss also the potential of cross-fertilization, i.e., on the possibility of re-using Web Data Extraction techniques originally designed to work in a given domain, in other domains.Comment: Knowledge-based System

    Supporting students' construction of hypermedia

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    This thesis considers the proposition that hypermedia may be employed effectively in higher education. More specifically, the question of its use by undergraduate music students to assist in writing essays and dissertations is investigated. The work begins with a review of general issues relating to educational hypermedia, such as its history, application, design and architecture. A user-centred approach to hypermedia development is advocated, and after critique and analysis of the literature, a framework for human-computer interaction for educational hypermedia is proposed. A case study is reported which serves to facilitate the undertaking of original research, as well as to evaluate the proposed framework. Other environments are also selected to carry out more generic research. Both reading strategies and writing strategies are investigated, and the results from these studies are used to conduct a repertory grid analysis of students' approaches to and perceptions of essay and dissertation development. The outcome of this experiment concludes with a proposal for a structural model of essay and dissertation development. Analysis of the model suggests the need for further survey analysis of taskartefact usage in specific educational domains, and experimental studies into electronic document manipulation and the reading of music from computer screens are investigated with respect to the case study environment. The implications of the research carried out in this thesis have assisted in and helped to justify the design of the prototype system HECTOR (Hypermedia, from Essay Conception TO Realisation). It aims to support students in their research, planning and writing of essays and dissertations. HECTOR has been evaluated in the field, and the results of this go some way to supporting the hypothesis of the thesis - that hypermedia can be employed effectively in higher education

    A Closer Look into Recent Video-based Learning Research: A Comprehensive Review of Video Characteristics, Tools, Technologies, and Learning Effectiveness

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    People increasingly use videos on the Web as a source for learning. To support this way of learning, researchers and developers are continuously developing tools, proposing guidelines, analyzing data, and conducting experiments. However, it is still not clear what characteristics a video should have to be an effective learning medium. In this paper, we present a comprehensive review of 257 articles on video-based learning for the period from 2016 to 2021. One of the aims of the review is to identify the video characteristics that have been explored by previous work. Based on our analysis, we suggest a taxonomy which organizes the video characteristics and contextual aspects into eight categories: (1) audio features, (2) visual features, (3) textual features, (4) instructor behavior, (5) learners activities, (6) interactive features (quizzes, etc.), (7) production style, and (8) instructional design. Also, we identify four representative research directions: (1) proposals of tools to support video-based learning, (2) studies with controlled experiments, (3) data analysis studies, and (4) proposals of design guidelines for learning videos. We find that the most explored characteristics are textual features followed by visual features, learner activities, and interactive features. Text of transcripts, video frames, and images (figures and illustrations) are most frequently used by tools that support learning through videos. The learner activity is heavily explored through log files in data analysis studies, and interactive features have been frequently scrutinized in controlled experiments. We complement our review by contrasting research findings that investigate the impact of video characteristics on the learning effectiveness, report on tasks and technologies used to develop tools that support learning, and summarize trends of design guidelines to produce learning video

    Hypermedia-based performance support systems for the web.

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    The work reported in this thesis is an attempt to apply integrated knowledge-based and adaptive hypermedia technologies in the area of electronic performance support. Moreover, this work is a contribution in the direction of 'structured' hypermedia authoring of technical documentation. It tackles the main challenges associated with the systematic development of Web-based technical documentation which include the design, authoring, and implementation, and the creation of supporting CASE tools. The main contribution of this research is a systematic methodology for the development of hypermedia-based Performance Support Systems (PSSs) for the Web which adheres to the main characteristics of advanced PSSs. These characteristics are outlined in a conceptual model that complies with state-of-the-art technologies and current practices in the field of user performance support. First, the thesis suggests a conceptual model for advanced PSSs. These are characterised as mainly consisting of two loosely coupled components that are designed and accessed in a task-based and user-centred manner. The first component is a freely browsed technical documentation of the application domain. The second component is the expert advisor that provides assistance for more specific, complex, and difficult to learn tasks. The integrated technologies utilised in advanced PSSs include Web-based hypermedia and knowledge-based systems. Second, the thesis concentrates on the first component of advanced PSSs i.e. technical documentation. It suggests a usage-based data model for the design of technical documentation. The proposed model abstracts the intended purpose of the documentation, the tasks supported by the documentation, and the functional characteristics of documents. These abstractions are integrated in a usage-based semantic network where rules and valid relationships are identified. This design framework can then be used by authors in order to organise, generate, and maintain the technical documentation i.e. authoring. In addition, this model is also used to support a strategy for the adaptive retrieval of hypermedia documents. Third, the thesis suggests a model-driven hypermedia authoring approach for Web- based technical documentation. This approach utilises the usage-based data model for the design of technical documentation (described above). In addition, it complies with the principled guidelines of structured authoring. Finally, the thesis focuses on 'intelligent' PSSs. It promotes the provision of intelligent performance support through the utilisation and integration of technologies used in developing knowledge-based diagnostic Expert Systems (ES) and adaptive hypermedia systems. This integration is implemented through the use of hypermedia which allows supporting content to be synchronized with the diagnostic ES inference process. The integrated adaptive diagnostic ES supports the user by providing what-to-do and how-to-do type of information tailored (adapted) to the user's knowledge of the subject domain. The special organisation of displays in an HTML-based user interface allows users, while employing the ES for fault diagnosis, to request detailed information about a certain diagnosis procedure, and then return to the ES to continue from where they left off. The solutions proposed in this thesis are demonstrated through the development of a prototype PSS for an all-terrain fork-lift truck. The performance support is provided through (i) a technical manual, (ii) a diagnostic ES for locating and correcting braking system faults, and (iii) an adaptive information retrieval utility
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