A Cognitive Load Theory Approach to Defining and Measuring Task Complexity Through Element Interactivity
Ouhao Chen, FRED G. W. C. PAAS, John Sweller
Loughborough University University of Wollongong Erasmus University Rotterdam UNSW Sydney
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Educational researchers have been confronted with a multitude of definitions of task complexity and a lack of consensus on how to measure it. Using a cognitive load theory-based perspective, we argue that the task complexity that learners experience is based on element interactivity. Element interactivity can be determined by simultaneously considering the structure of the information being processed and the knowledge held in long-term memory of the person processing the information. Although the structure of information in a learning task can easily be quantified by counting the number of interacting information elements, knowledge held in long-term memory can only be estimated using teacher judgment or knowledge tests. In this paper, we describe the different perspectives on task complexity and present some concrete examples from cognitive load research on how to estimate the levels of element interactivity determining intrinsic and extraneous cognitive load. The theoretical and practical implications of the cognitive load perspective of task complexity for instructional design are discussed.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
社会科学Visual and Cognitive Learning Processes
Innovative Teaching and Learning Methods · Educational and Psychological Assessments
参考文献 48
此处列出前 3 条
引用本文 214
按被引量排序,此处列出前 3 条