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Cognitive styles, subject content and the design of computer based instruction

机译:认知风格,学科内容和基于计算机的教学设计

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The authors present a study on designing computer based instruction (CBI) considering the individual students' preferred cognitive styles and the effects of the subject contents on the learning outcomes. The bimodal nature of cognitive styles was examined in order to assess the full ramification of cognitive styles on learning. Students' cognitive styles were analysed using cognitive style analysis (CSA) software. On the basis of the CSA results, students used either matched or mismatched CBI material. Analysing test results suggests that certain test tasks may be more suitable to certain cognitive styles than others. Results also support the reported argument that subject types have an affinity to certain cognitive styles and acknowledge the need to consider the nature of the subject matter in designing personalised CBI instruction. The consistent better performance by the matched group suggests potential for further investigations where the limitations cited here may be eliminated. This study was used in teaching some components of a digital communications subject in an electrical engineering course.
机译:作者展示了考虑个人学生的首选认知风格和主题内容对学习结果的影响的基于计算机的教学(CBI)的研究。检查认知风格的双峰性质是为了评估学习认知风格的完整分支。使用认知风格分析(CSA)软件分析学生的认知风格。在CSA结果的基础上,学生使用匹配或不匹配的CBI材料。分析测试结果表明某些测试任务可能比其他测试更适合某些认知风格。结果还支持报告的主题类型对某些认知风格具有亲和力,并确认需要考虑设计个性化CBI指令时主题的性质。匹配组的一致性更好的性能表明可能会消除此处引用的局限性的进一步调查。本研究用于教授电气工程课程中数字通信主体的一些组成部分。

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