This volume contains a series of papers on algorithmic learning. Included are six reviews of research pertaining to various aspects of algorithmic learning, six reports of pilot experiments in this area, a theoretical discussion of "The Conditions for Algorithmic Imagination," and an annotated bibliography. All the papers assume a common definition of algorithmic learning as "the process of developing and/or applying methods or procedures, i.e., algorithms, with the goal of learning-how-to-learn." A common definition of algorithm is also used. Topics covered by literature reviews include algorithmic processes for cognition, algorithms and hierarchies, conceptual bases for the learning of algorithms, interference with the learning of algorithms, algorithmic problem solving, and algorithms and mental computations. Research papers report on studies related to algebra (3), arithmetic (2) and the use of desk calculators (1). The authors conclude that there are many open researchable questions in the area of algorithmic learning. (SD)