The application of artificial intelligence principles to teaching and training*

This paper compares and contrasts the use of AI principles in industrial training with more normal computer‐based training (CBT) approaches. A number of applications of CBT are illustrated (for example simulations, tutorial presentations, fault diagnosis, management games, industrial relations exercises) and compared with an alternative approach using AI. An evaluation of the relative merits of the two approaches will be given. Existing CBT packages are used to illustrate the points raised and the emphasis of the arguments will be on the effectiveness of AI and CBT in terms of both cost and learning. The position of AI applications within CBT is discussed, as is the task of getting started in applying these techniques.     

Reducing Risk for Substance Use by Economically Disadvantaged Young Men: Positive Family Environments and Pathways to Educational Attainment

Using prospective, longitudinal data spanning 10 years (age = 10–20) from a study of 295 economically disadvantaged males, the current investigation evaluated a developmental model that links early family environment and later educational aspirations, extracurricular activities, and educational attainment to substance use in early adulthood. The results indicate that a positive family environment during adolescence (low family conflict, high family warmth, and effective child management) predicted educational involvements during adolescence that promoted educational attainment during early adulthood. Finally, higher levels of educational attainment were associated with less substance use in early adulthood, even after controlling for adolescent substance use. These findings suggest that positive parenting promotes educational achievements that increase resilience to substance use for economically disadvantaged males.