The dream of intelligent assistants to enhance programmer productivity has now become a concrete reality, with rapid advances in artificial intelligence. Large language models (LLMs) have demonstrated impressive capabilities in various domains based on the vast amount of data used to train them. However, tasks which require structured reasoning or…

It is suggested that most of the things people learn are not taught; they are learned by induction. Learning and teaching theories are analyzed with a focus on the induction theory and its implications. The symbol processing carried out by computers is used as a point for comparison. (JMD)

Discusses the need for a sustained and systematic effort toward establishing a theoretical framework for educational simulations, proposes the adaptation of models borrowed from the natural and applied sciences, and describes three simulations based on such a model adapted using Brunerian learning theory. Sixteen references are listed. (LLS)

The "symbol systems approach" to the study of computers in education that is outlined avoids the pitfalls of past media research--particularly research on the effects of television on children's learning and knowledge--and asserts that media can be usefully distinguished in terms of the symbol systems they present and the kinds of…

This description of AUTHOR, a computer program for the automated authoring of programmed texts designed to teach symbol recognition, includes discussions of the learning strategies incorporated in the design of the instructional materials, hardware description and the algorithm for the software, and current and future developments. Appendices…