A number of prior studies have found that using animation to help teach algorithms had less beneficial effects on learning than hoped. Those results surprise many computer science instructors whose intuition leads them to believe that algorithm animations should assist instruction. This article reports on a study in which animation is utilized in more of a "homework" learning scenario rather than a "final exam" scenario. Our focus is on understanding how learners will utilize animation and other instructional materials in trying to understand a new algorithm, and on gaining insight into how animations can fit into successful learning strategies. The study indicates that students use sophisticated combinations of instructional materials in learning scenarios. In particular, the presence of algorithm animations seems to make a challenging algorithm more accessible and less intimidating, thus leading to enhanced student interaction with the materials and facilitating learning. Keywords:...

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Modern computer systems routinely present information to the user as a combination of text and diagrammatic images, described as "graphical user interfaces". Practitioners and researchers in Human-Computer Interaction (HCI) generally believe that the value of these diagrammatic representations is derived from metaphorical reasoning; they communicate abstract information by depicting a physical situation from which the abstractions can be inferred. This assumption has been prevalent in HCI research for over 20 years, but has seldom been tested experimentally. This thesis analyses the reasons why diagrams are believed to assist with abstract reasoning. It then presents the results of a series of experiments testing the contribution of metaphor to comprehension, problem solving, explanation and memory tasks carried out using a range of different diagrams. The results indicate that explicit metaphors provide surprisingly little benefit for cognitive tasks using diagrams as an external re...

One aspect of second language teaching via multimedia to have received attention over the past few years is the impact of glossing individual vocabulary words through different modalities. This study examines which of the image modalities--dynamic video or still picture--is more effective in aiding vocabulary acquisition. The participants, 30 ESL students, were introduced to a hypermedia-learning program, designed by the researcher for reading comprehension. The program provides users reading a narrative English text with a variety of glosses or annotations for words in the form of printed text, graphics, video, and sound, all of which are intended to aid in the understanding and learning of unknown words. A within-subject design was used in this study with 30 participants being measured under three conditions: printed text definition alone, printed text definition coupled with still pictures, and printed text definition coupled with video clips. In order to assess the efficacy of each mode, a vocabulary test was designed and administered to participants after they had read the English narrative. Two types of tests were administered: recognition and production. In addition, a face-to-face interview was conducted, and questionnaires were distributed. Results of the both tests were analyzed using analysis of variance procedures. The investigation has yielded the conclusion that a video clip is more effective in teaching unknown vocabulary words than a still picture. Among the suggested factors that explain such a result are that video better builds a mental image, better creates curiosity leading to increased concentration, and embodies an advantageous combination of modalities (vivid or dynamic image, sound, and printed text).

Previous research suggests that graphical metaphor should increase the usability of visual programming languages (VPLs) by providing an instructional aid when learning to use the language. This paper describes three experiments which manipulated the degree of metaphor in VPLs. In the first, an implicit pictorial metaphor was added to a dataflow language, while in the second and third an explicit explanatory metaphor was provided for diagrams showing computational concepts. In both cases, the performance of novices was compared to that of expert programmers, in order to judge the improvement in usability that might result from this instructional device. The resulting benefits of metaphor were smaller than expected, especially relative to the advantage of experience. This suggests that metaphor may not be an essential component in the usability of VPLs.

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Multimedia (MM) is a polysemous term, a term with many definitions, and in this case, many roots. In this paper, multimedia is defined as the seamless integration of two or more media. Each ancestor brings another requirement, muddying the field and making it difficult to work through. A multimedia taxonomy based on a previous media taxonomy is proposed to help organize the discipline. The taxonomy helps to classify the space called multimedia and to draw attention to difficult issues. The paper outlines the forms contributing to multimedia— text, sound, graphics, and motion—and aligns them with probable formats — elaboration, representation, and abstraction—and sets them within a context—audience, discipline, interactivity, quality, usefulness, and aesthetics. The contexts are more clearly defined in two areas: interactivity and the information basis for a discipline. Examples are presented describing the use of the taxonomy in the design and evaluation of student projects in a computer science-based multimedia course.

Abstract. Static mixed-mode presentations consisting of verbal explanations illustrated with diagrams have long been used to communicate information. With the advent of multimedia, such presentations have become dynamic, by migrating from paper to the computer and by adding interactivity and animation. The conventional wisdom is that computer-based multimedia presentations are better than printed presentations. However, does the communicative power of mixed-mode representations stem from their careful design to match cognitive processes involved in comprehension or from their interactive and animated nature? This is an important issue that has never been investigated. This paper first presents a cognitive model of comprehension of mixed-mode representations. We describe how this model generates design guidelines for mixed-mode representations that present expository material in two domains- the concrete domain of mechanical systems and the abstract domain of computer algorithms. We then report on a series of studies that compared computer-based interactive multimedia presentations and their paper-based counterparts. Both were designed in accordance with the comprehension model and were compared against each other and against competing representational forms such as books, CD-ROMs, and animations. These studies indicate that the effectiveness of mixed-mode presentations has more to do with their match with comprehension processes than the medium of presentation. In other words, benefits of interactivity and animation are likely being overstated in the current milieu of fascination with multimedia.

How can students be helped to understand scientific explanations of cause-and-e!ect systems, such as how a pump works, how the human respiratory system works, or how lightning storms develop? This chapter reviews some encouraging evidence that multimedia learning environments can promote constructivist learning that enables problem-solving transfer. It begins with a description of a multimedia learning scenario, a cognitive theory of multimedia learning, and a set of design principles that lead to constructivist learning. Then, results from more than 40 studies are reviewed. In combination, these studies explore the conditions under which multimedia environments promote problem-solving transfer of scientific and mathematical principles. The concluding section addresses the problem of how multimedia instructional messages can be designed to promote problem-solving transfer.