Simple Geography-Related Multimedia

Introduction

A major challenge facing the teaching of geography or geology is students’ interpretation of complex maps and diagrams. Laurillard (1997) states that this is because the “[graphical] representation and the content are unfamiliar” to a novice user. These graphics are often used to communicate important multidimensional and locationally specific concepts that are extremely difficult to present verbally. Taking an example: a professional geographer will inspect a contour map and immediately be able to understand the aspects of the landscape that it represents: they can “read” maps. A novice geographer would not be able to interpret a map in the same way, for example, they may be able to understand what a contour line symbolizes but the complex pattern of contours on the map may overwhelm their ability to interpret the physical landscape it represents. One solution to this issue is to break the map or diagram down into component parts or concepts and present them in a way that builds back up to the original complexity of the diagram. In a contour map example with a dipping plane dissected by a valley ending at a cliff, the problem could be split into three stages: in the first a contour map of a dipping plane is presented, then a stage showing the same plane dissected by a valley and the final stage would show the patterns of contours with all the elements present. This sequence of diagrams would be annotated by labels and notes. In this chapter we present our experience in the development of complex maps or diagrams (hereafter referred to as “complex diagrams” for the sake of brevity) for delivery to students engaged in independent learning. Our work was initially implemented as part of a fully online master’s-level program and we have subsequently utilized the approach in self-paced practical sessions with traditional face-to-face students.

The traditional approach to breaking down a complex diagram would involve an expert geographer acting as author (hereafter referred to only as “author”) who analyses the diagram and then splits it into logical parts, annotates it, and presents it using a static diagram form. A second, alternative approach would have the author and a learning technologist (a multimedia Web specialist) working together to produce an animation of the diagram. The problem with this approach is that learning technologist time is expensive and highly constrained in most higher education environments, in addition communication between the author and learning technologist could slow production speeds compared with just having the author work on the material alone. In this chapter we advocate a third approach: by keeping the animation simple the authors can produce animation-based content for themselves. For reasons that will become apparent we term these animations “animated slide sets”. We argue that this is an educational improvement on the first static text and diagrams approach, whilst avoiding the problems of the second approach.

The teaching materials described in this chapter have been written by a multi-author team comprising several academic staff and a learning technologist. The initial work was undertaken to support an online distance learning MSc in GIS, delivered collaboratively by the Universities of Leeds and Southampton. In the case of our actual team the learning technologist had subject specialist skills, blurring the distinction between author and learning technologist. We think such blurring of roles should not affect any project that aimed to reproduce our type of work flow, all that is required is that members of the team maintain a sense of what role they are taking when undertaking team tasks. Our learning materials were written as standard HTML Web pages in learning object format (described in more detail by Wright et al., under review) and are each between approximately 500 and 2,500 words in length. Within each object there are typically one or more animated slide sets, activities and a reference section. Wright et al. (under review) also addresses such issues as learning object reuse, storage, editorial control, and intellectual property so we have avoided discussion of such issues here.