Catering for different learning styles

This paper describes a study to investigate the possibility of applying a quick and simple front‐end to multimedia presentations. The front‐end will determine the user's learning style and suggest a suitable navigation method The paper recognizes not only different learning styles which influence learners’ performance, but also the practical use of valid learning styles’ measurements

Special Libraries, December 1977

Volume 68, Issue 12https://scholarworks.sjsu.edu/sla_sl_1977/1008/thumbnail.jp

Cognitive style and computer‐assisted learning: Problems and a possible solution1

Although the notion of cognitive style has been around for some time, only in relatively recent times has there been a research interest in examining its effect on the performance of Computer‐Assisted Learning (CAL) users. There are a number of practical difficulties associated with catering for different cognitive styles of CAL users. This paper identifies not only a style which influences CAL‐user performance and overcomes many of the difficulties, but also a possible suitable measure of that style. Data on the reliability of this measure is reported, along with preliminary work on its use to cater for CAL users with different cognitive styles. Future work will focus on the development of the package and the predictive validity of the style measure

Special Libraries, February 1978

Volume 69, Issue 2https://scholarworks.sjsu.edu/sla_sl_1978/1001/thumbnail.jp

Special Libraries, March 1977

Volume 68, Issue 3https://scholarworks.sjsu.edu/sla_sl_1977/1002/thumbnail.jp

Parameterized complexity of machine scheduling: 15 open problems

Machine scheduling problems are a long-time key domain of algorithms and complexity research. A novel approach to machine scheduling problems are fixed-parameter algorithms. To stimulate this thriving research direction, we propose 15 open questions in this area whose resolution we expect to lead to the discovery of new approaches and techniques both in scheduling and parameterized complexity theory.Comment: Version accepted to Computers & Operations Researc

Computer Abuse: The Emerging Crime and the Need for Legislation

Advancements in computerization and the growing use of computers in business, government, education, and the private sector has resulted in the expanding potential for criminal infiltration. The problems of computer crime are in great part attributable to the shortcomings of our criminal laws, which were written long before there was knowledge of computer crimes. Moreover, there is a reluctance of our legal establishments to adapt to the new technology\u27s potential harm. This Note urges that new federal legislation be passed as a means to counteract future computer crimes

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