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Which strategy for which learner?
Author(s) -
Gabriel J P,
Pillai J K
Publication year - 1988
Publication title -
british journal of educational technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.79
H-Index - 95
eISSN - 1467-8535
pISSN - 0007-1013
DOI - 10.1111/j.1467-8535.1988.tb00015.x
Subject(s) - psychology , mathematics education , test (biology) , task (project management) , aptitude , affect (linguistics) , active learning (machine learning) , science learning , selection (genetic algorithm) , science education , computer science , developmental psychology , artificial intelligence , communication , paleontology , management , economics , biology
The selection of a suitable learning strategy in individualised science instruction should be influenced by the learning potential of the learners. Components of their‘learning potential’include: aptitude, scientific affect, attitude, and college scores. Achievement gain was measured by the difference between pre‐test and post‐test scores with the credits gained through the enrichment and task activities. Based on their gain scores, learners were divided into high, average and low achievers and their preferences for learning strategies were collected. The results indicated marked differences according to learning potential. Other research has investigated the question of suitable learning strategies for different kinds of learners, but its validity often has been restricted by a limited number of strategies with only a small number of learning components analysed. To overcome such constraints, this study included six independent learning strategies and seven group learning ones. Instead of calculating simple correlations, the influence of different components of learning potential was analysed for three achievement levels, and interaction effects were separated.