计算机科学
领域(数学)
认知风格
场依赖性
认知
心理学
数学
物理
神经科学
量子力学
磁场
纯数学
作者
Natalie Clewley,Sherry Y. Chen,Xiaohui Liu
标识
DOI:10.1109/icsmc.2009.5346314
摘要
As Web-based instruction (WBI) becomes increasingly popular, designers are faced with the challenge of identifying the varying preferences of learners and accommodating them in WBI programs. Cognitive style has been shown to have a significant effect on users' preferences for WBI. In particular, Witkin's field dependent/independent has been widely studied in this area. It has been suggested that this cognitive style has conceptual links with the rarely studied Pask's holist/serialist dimension. Therefore, this study investigates the relationship between these two cognitive style dimensions by using a data mining approach that integrates feature selection and decision trees. The results show that in general field dependent users and holists show the same preferences for WBI, as do field Independent users and serialists. However, this study also highlights the similarities in preference between field dependent users and serialists, and field independent users and holists. The findings of this study contribute towards the understanding of field dependent/independent and holist/serialist users' preferences. Additionally, a novel data mining methodology is proposed.
科研通智能强力驱动
Strongly Powered by AbleSci AI