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Conceptually Adapted Hypertext For Learning

Kelvin Clibbon

LUTCHI Research Centre, Department of Computer Studies
Loughborough University of Technology
Loughborough, LE11 3TU UK
Email K.C.Clibbon@lut.ac.uk
Telephone +44 509 222327

© ACM

Abstract

Cognitive overload and disorientation limits the effectiveness of hypertext for learning. By cognitively adapting a hypertext system to the user and by providing instructional cues, the effects of these problems might be reduced. A quasi-experimental evaluation study is reported, with a view to testing the efficacy of this theory.

Keywords:

adaptive hypertext, hypertext based learning, conceptual modelling, learning styles.

Introduction

Disorientation and cognitive overload are two problems that may ultimately limit the usefulness of hypertext for learning. Learners fail to gain an overview of the material and have difficulty in locating information known to be available. It is clear that the navigational access offered by hypertext, is not by itself, sufficient. Research into navigation and orientation has tended to focus on graphical representations of the information structure. Attempts are however, being made to augment basic node and link hypertext by incorporating AI knowledge representation schemes into the model [1].

With hypertext, student's explore and follow paths that are not dictated by outside sources, and as such, permits learning in a whole new fashion. By allowing students to use the material presented in their own way, hypertext brings freedom to the educational process. However this freedom to learn is not a sufficient condition to assume effective learning. There is the danger of 'hyperchaos', whereby students can miss relevant points or form wrong interpretations of the information. Advocates of hypertext-based learning acknowledge that letting the learner sink or swim in a sea of links and nodes has its problems, and talk increasingly of tools for navigation and guidance, of more directed support for learning activities, of adaptive links and of AI-based advising tools. It is also clear that there is currently little empirical support favouring hypertext based instructional systems over traditional systems - the efficacy of hypertext for learning has not yet been established.

CONCEPTUALLY ADAPTED HYPERTEXT

This study assessed the relationship between presentation techniques and learning styles, and their effects on learning outcome. The major research issue investigated is whether learning outcome can be enhanced by conceptually adapting hypertext and by providing instructional cues to the learner.

Two hyperdocuments containing the subject material to be learned were developed. One document conceptually adapts to the user and provides instructional cues to aid exploration of the information space. The other document is a conventional static hypertext, providing the learner with a parsimonious set of links to facilitate exploration. Both systems contained the same information. A conventional lecture formed the third presentation method. Before developing the hypertext systems and putting together the material for the lecture, a knowledge handbook of the domain was produced, to ensure consistency across the three presentations methods. The knowledge handbook was also used whilst developing a conceptual model of the domain, based on established instructional design techniques [3]. This model was explicitly incorporated into both hyperdocuments and provided the theoretical basis for adapting the hypertext and providing the instructional cues in the knowledege-based hyperdocument. Adaptivity was achieved by attaching rule-sets to nodes, which inferred what links to provide, depending on the nodes previously visited by the learner and the conceptual model.

A total of 85 students participated in the study. Students completed an elementary structured programming test (to ascertain their prior knowledge level of the domain to be taught), and were categorised into one of four learning styles [2] - Activists, Reflectors, Theorists and Pragmatists. The students were sequentially assigned to one of three treatment groups, each using a different treatment method (a lecture, a cognitively adapted hypertext or a static hypertext). Those students allocated to the lecture group were given a presentation and guided through some worked examples, lasting a total of one hour. Students in the cognitively adapted hypertext and the static hypertext groups spent one hour learning as much of the information in the systems as possible. Upon finishing their respective sessions, students completed a test to ascertain the amount of material learned. The learning outcome was measured by a fourteen question post-test, which resulted in a single score. Questions were developed to test understanding of the key concepts and basic procedures.

RESULTS

Three research questions where addressed: (1) Does Learning Style affect learning outcome? (2) Does the Presentation Method (Lecture, Cognitively Adapted Hypertext or Static Hypertext) affect learning outcome? (3) Are there interaction effects between learning styles and method of presentation that affect learning outcome?

The dependent variable used in the study was an objective measurement of learning outcome. The independent variables include: (a) the learning style of the learner and (b) the method of presentation of the material. Univariate analyses of variance were used to test for significant differences in the means of the learning outcome scores between the different methods and the learning styles. Specifically, a two-factor ANOVA was used to investigate interactions effects between presentation method and learning styles.

Learning Outcome Scores

The learning outcome score means for each of the study design groups are presented in table 1, along with the number of subjects in each group and the standard deviation.

TABLE 1.Learning Outcome by Learning Style and Presentation Method

The differences among the means for the learning outcome scores across the three presentation methods were significant. (F2,82 = 8.2, r = 0.0006). Multiple range tests, indicated that the static hypertext session mean is significantly different from the lecture and the cognitively adapted hypertext session at the 0.05 level. This separation of means is highlighted in figure 1. The differences among the mean scores between learning styles (F3,81 = 0.529, r = 0.664) were not significantly different and there was no significant interaction effect between learning style and presentation method on learning outcome.

FIGURE 1. Learning Outcome Profiles for Presentation Method

CONCLUSION

This research attempts to reduce the cognitive overhead and disorientation experienced by learners while pursing their instructional objectives in exploring a hyperdocument. Instructional cueing makes the conceptual model incorporated in the adaptive system explicit to the learner. This study reports the effects a conceptually adapted hypertext and an individuals learning style, have on learning outcomes with a hypertext system. The mean scores of those subjects who attended the lecture (m = 18.8) and used the adaptive hypertext (m= 17.5) were significantly different from those who used the static hypertext (m = 14.3). This would seem to indicate that students learn from an adaptive hypertext incorporating instructional cues, to the same level as students attending lectures, for the domain in question (Jackson System Design). Future research will determine how the methodology described herein generalises to other domains.

References

1. Clibbon, K. Intelligent Hypertext: An Overview. Working Paper Number 44, Computing and Mathematical Sciences Research Unit. De Montfort University, Leicester, LE1 9BH UK, 1992
2. Honey, P. and Mumford, P. The Manual of Learning Styles. Honey UK, 1992.
3. Merril, M., Tennyson, R. and Posey, L. Teaching Concepts: An Instructional Design Guide (2nd Edition). Educational Technology Publications, Englewood Cliffs, New Jersey, 1992.