Principles for Developing Algorithmic Instruction.
ARIZONA STATE UNIV TEMPE COLL OF EDUCATION
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An algorithmic procedure was examined under several instructional approaches to yield design principles pertinent to military training. Learning factors were selected from information-processing theories to test their applicability with instruction directed by learning algorithms. A version of a logical, or familiar, and a computational algorithm was generated, further divided into verbal and symbolic mathematical forms, and presented to sixty undergraduates. Multivariate analyses were employed on two dependent measures, instructional effectiveness and efficiency. Posttests were administered both immediately following instruction and one week later. Attention was also given to the criterion-referenced effectiveness of the various algorithmic forms. Learners achieved high scores following very brief instruction, with verbal and logical groups outperforming their comparison treatments. Retention losses after the time delay were found to closely match the typical needs of a training environment. Tentative principles for using algorithms in instructional design include emphasis on concrete, familiar content, short, compact structures, and complete mastery of each preceding operator or discriminator. The efficiency of the algorithm approach is highlighted as having unusual utility in meeting the future demands of schooling and training. Author
- Humanities and History