Example-Based Learning in Heuristic Domains: A Cognitive Load Theory Account

One classical instructional effect of cognitive load theory (CLT) is the worked-example effect. Although the vast majority of studies have focused on well-structured and algorithmic sub-domains of mathematics or physics, more recent studies have also analyzed learning with examples from complex domains in which only heuristic solution strategies can be taught (e.g., troubleshooting, mathematical proving). Is learning by such examples also effective, and do the same instructional design principles apply? We discuss the main findings of an own research program and of related studies that addressed such questions. We found that CLT’s basic design principles also hold true for heuristic domains: Reduce extraneous load by employing examples, maximize germane load by fostering self-explanations, prevent cognitive overload by pretraining in the case of difficult learning materials, and by focusing attention on the most relevant aspects. Other typical CLT assumptions (e.g., better provide information for novice learners) were not confirmed in its generality. The present findings extend the applicability of CLT but also identify some potentially too simplistic assumptions.     

Cognitive and social help giving in online teaching: an exploratory study

While literature suggests that college students may be less reluctant to seek help in online rather than traditional courses, little is known about how online instructors give help in ways that lead to increased student help seeking and academic success. In this study, we used theories and research on learning assistance and scaffolding, teacher immediacy, social presence, and academic help seeking to explore through a cross-case study design how three online instructors differed in their use of cognitive and social supports and how those differences related to student perceptions of support, help seeking, and performance. Primary data sources included all course postings by the instructors, interviews with the instructors, observational field notes on course discussions, student interviews, and final student grades. Archived course documents and student discussion postings were secondary data sources. Data analysis revealed that while all instructors provided cognitive and social support, they varied in their level of questioning, use of direct instruction, support for task structuring, and attention to group dynamics. This variation in teaching presence related to differences across the courses in student perceptions of support, student help seeking in course discussions, and final course grades. Implications for online teaching and suggestions for further research are offered.

基于认知风格的Web目录检索界面实证分析

提出基于认知风格模型的检索界面设计原则,以搜索引擎Google作为实验对象,基于认知风格理论,从界面整体风格、主目录和子目录排列方式、命中网站的排序方式、检索结果的表示方式及相关目录显示5个方面分析Google检索界面并提出相应的优化策略。     

The impact of learner characteristics on information utilization strategies, cognitive load experienced, and performance in hypermedia learning

Against the background of an adaptation of Cognitive Load Theory to learner-controlled settings we investigated the impact of learner characteristics on information utilization strategies, cognitive load, and learning outcomes in a hypermedia environment. Based on the data of 79 students, five clusters of students were identified according to their learner characteristics by means of a cluster analysis. Further analyses showed that learners with more favorable characteristics (i.e., higher prior knowledge, more complex epistemological beliefs, more positive attitudes towards mathematics, better cognitive and metacognitive strategy use) tended to show a more adaptive example utilization behavior, reported less cognitive load, and solved more problems correctly than learners with less favorable characteristics.     

Knowledge elaboration: A cognitive load perspective

The process of knowledge elaboration is considered from the perspective of cognitive load theory. This theory assumes that the available knowledge structures in long-term memory (LTM) are used to organize and guide cognitive processing in complex learning. Accordingly, the role of external instructional guidance in the process of knowledge elaboration could be described as providing a substitute for knowledge structures missing from LTM. Thus, the executive guidance in complex learning environments is shared between the person (based on his/her LTM knowledge structures) and another expert or instructional means. This article analyzes instructional implications of this assumption. Adaptive learning environments are suggested for tailoring knowledge elaboration processes to changing characteristics of individual learners. Means for identifying and predicting the learner's LTM-based executive guidance are proposed so that they can be utilized in the building of adaptive learning environments.     

Chemistry problem solving instruction: a comparison of three computer-based formats for learning from hierarchical network problem representations

Within the cognitive load theory framework, we designed and compared three alternative instructional solution formats that can be derived from a common static hierarchical network representation depicting problem structure. The interactive-solution format permitted students to search in self-controlled manner for solution steps, static-solution format displayed all solutions steps, and no-solution format did not have solution steps. When we matched instructional time across the formats, in relation to the complex molarity problems rather than the dilution problems, differential transfer performance existed between the static-solution or no-solution formats and the interactive-solution format, but not between the static-solution format and no-solution format. The manner in which learners interact with the static-solution and no-solution formats depends on their level of expertise in the chemistry domain. With considerable learner expertise, provision of solution steps may be redundant incurring extraneous cognitive load. Absence of the solution steps may not have left sufficient cognitive capacity for germane cognitive load as some beginning learners lacked the prior knowledge to deduce the solution steps. Searching for solution steps presumably incurred extraneous cognitive load which interfered with learning and hence, in the interactive-solution format, it outweighed the benefit of engaging in self-regulated interaction with the content. Hence, cognitive load theory is a promising tool to predict the mental load associated with learning from the three alternative computer-based instructional formats.     

Using the theory of successful intelligence as a framework for developing assessments in AP physics

A new test of Advanced Placement Physics, explicitly designed to balance both content and cognitive-processing skills, was developed using Sternberg’s theory of successful intelligence. The test was administered to 281 AP Physics students from 10 schools during the 2006–2007 school year. Six empirically distinguishable profiles of strengths and weaknesses emerged from an exploratory Q-type factor analysis across the four cognitive-skill areas assessed (i.e., memory, analytical, creative, and practical skills). These profiles replicated those found in previous research in the domains of AP Psychology and AP Statistics. Furthermore, achievement differences between ethnic groups on various cognitive subscales were reduced as compared with traditional estimates. The results provide evidence of the importance of integrating modern theories of cognitive processing into large-scale assessments.     

英国文学多媒体教学手段中的认知负荷调节

认知负荷理论把工作记忆的限制性看作学习的主要障碍。在英国文学课程教学内容的内在认知负荷相对固定的前提下,应该在多媒体教学手段的设计和使用中减少外在认知负荷,增加相关认知负荷,从而改善学习效果。     

Situated Learning: Conceptualization and Measurement

A focus on the interaction between cognitive schemas and context in situ has been suggested as fundamental in organizational decision making and information interpretation. Past research suggests that the situation and the social interaction that occur during learning at the cognitive level consist of factors that affect the process, but the research lacks a coherent explanation for how those factors affect it. We propose a conceptualization of learning, termed situated learning, which accounts for these factors. By drawing on situated cognition theory, social learning theory, and the theory of mental models, we identify and measure four components of situated learning, that is, thematic focus, cognitive absorption, social structure, and participation. Among the most important lessons for researchers and practitioners is the need to consider learning as a constellation of the four components instead of an indivisible phenomenon. This perspective can enhance our understanding of cognitive processes, such as information interpretation and decision making.