Learning style and learning strategies in a multimedia environment

There is a growing realization that it may be expeditious to combine elements from different theories of learning when trying to derive a coherent and usable policy towards computer‐mediated learning. Consideration of the subtle distinction between Computer‐Aided Learning (CAL) and Computer‐Aided Instruction (CAI) conform the basis of a possible classification of computer‐mediated learning, and hence of multimedia tools. This classification enables the development of a continuum upon which to place various strategies for computer‐mediated learning, and hence a means of broadly classifying multimedia learning tools

An interactive learning environment in geographical information systems

The Unigis Learning Station is a computer‐based learning management tool for the Postgraduate Diploma in Geographical Information Systems by distance learning (correspondence). Unigis is an international network of universities co‐operating in the delivery of such courses. The students on Unigis courses are mature mid‐career professionals who study in addition to undertaking full time jobs. The Learning Station offers these students information about the course, resources for independent study, a structured set of exercises, assessments and feedback opportunities, and an integrated and easy way to interact with other course software. Following a brief introduction to the Unigis curriculum, this paper discusses the design of the Learning Station. The roles the Learning Station adopts are outlined, and the range of multimedia and communications tools used discussed. Evaluation of the Learning Station is presented and the issued raised by this provide useful lessons for other computer‐based learning management tools, and the adaptation of the Learning Station to other teaching and learning situations

KnowledgePro windows: The order of merit?

The producers of KnowledgePro look set with their latest release of KPWIN (KnowledgePro Windows) to fulfil Richard Hale‐Shaw's prophecy that it will become ‘one of the most powerful visual development environments’ (Hale‐Shaw 1992). Comparisons are drawn in this paper between the KPWIN family of products and other authoring tools. The conclusion is that KPWIN is worthy of being included in any courseware developer's tool set. Reasons for preferring a tool from the KnowledgePro family of products for courseware development over three main competitors ‐ Authorware, Toolbook and Visual Basic ‐ are explained, and the merits of KPWIN and KPWIN++ (a version that generates C++ code) are examined

Semantic multimedia remote display for mobile thin clients

Current remote display technologies for mobile thin clients convert practically all types of graphical content into sequences of images rendered by the client. Consequently, important information concerning the content semantics is lost. The present paper goes beyond this bottleneck by developing a semantic multimedia remote display. The principle consists of representing the graphical content as a real-time interactive multimedia scene graph. The underlying architecture features novel components for scene-graph creation and management, as well as for user interactivity handling. The experimental setup considers the Linux X windows system and BiFS/LASeR multimedia scene technologies on the server and client sides, respectively. The implemented solution was benchmarked against currently deployed solutions (VNC and Microsoft-RDP), by considering text editing and WWW browsing applications. The quantitative assessments demonstrate: (1) visual quality expressed by seven objective metrics, e.g., PSNR values between 30 and 42 dB or SSIM values larger than 0.9999; (2) downlink bandwidth gain factors ranging from 2 to 60; (3) real-time user event management expressed by network round-trip time reduction by factors of 4-6 and by uplink bandwidth gain factors from 3 to 10; (4) feasible CPU activity, larger than in the RDP case but reduced by a factor of 1.5 with respect to the VNC-HEXTILE

Interactive Video Search

With an increasing amount of video data in our daily life, the need for content-based search in videos increases as well. Though a lot of research has been spent on video retrieval tools and methods which allow for automatic search in videos through content-based queries, still the performance of automatic video retrieval is far from optimal. In this tutorial we discussed (i) proposed solutions for improved video content navigation, (ii) typical interaction of content-based querying features, and (iii) advanced video content visualization methods. Moreover, we discussed interactive video search systems and ways to evaluate their performance

Reviews

Judith Jeffcoate, Multimedia in Practice ‐Technology and Applications, BCS Practitioner Series, Prentice‐Hall International, 1995. ISBN: 0–13–123324–6. £24.95