Artificial neural networks (ANN), part of artificial intelligence, are discussed. Such networks are fed sample cases (training sets), learn how to recognize patterns in the sample data, and use this experience in handling new cases. Two cognitive roles for ANNs (intelligent filters and spreading, associative memories) are examined. Prototypes…

Researchers investigating issues related to computing in higher education are increasingly using qualitative research methods to conduct their investigations. However, they may have little training or experience in qualitative research. The purpose of this paper is to introduce researchers to the appropriate use of qualitative methods. It begins…

Experimental methods have been used extensively for many years to conduct research in education and psychology. However, applications of experiments to investigate technology and other instructional innovations in higher education settings have been relatively limited. The present paper examines ways in which experiments can be used productively…

Artificial intelligence techniques available for generating explanations for teaching purposes are surveyed, and the way in which they are combined in a computer program that provides explanations is described. The program responds to questions in the physical sciences. Potential contributions of this technology to computer-based education are…

Design research has grown in importance since it was first conceptualized in the early 90s, but it has not been adopted for research in instructional technology in higher education to any great extent. Many researchers continue to conduct studies that principally seek to determine the effectiveness of the delivery medium, rather than the…