Instructional control of cognitive load in the training of complex cognitive tasks

Limited processing capacity constrains learning and performance in complex cognitive tasks. In traditional instruction, novices' failure to adequately learn cognitive tasks can often be attributed to the inappropriate direction of attention and the related high or excessive load that is imposed on a learner's cognitive system. An instructional design model for the training of complex cognitive tasks should provide instructional strategies that control cognitive load. We propose such a model and recommend research in which the cognitive load of instructional manipulations is systematically investigated and determined with mental-effort based measures.     

Towards a personalized task selection model with shared instructional control

Modern education emphasizes the need to flexibly personalize learning tasks to individual learners. This article discusses a personalized task-selection model with shared instructional control based on two current tendencies for the dynamic sequencing of learning tasks: (1) personalization by an instructional agent which makes sequencing decisions on the basis of learner’s expertise, and (2) personalization by the learner who is given control over – final – task selection. The model combines both trends in a model with shared instructional control. From all available learning tasks, an instructional agent selects a subset of tasks based on the learner’s performance scores and invested mental effort (i.e., system-control). Subsequently, this subset is presented to the learner who makes the final decision (i.e., learner control). A computer-assisted instructional program has been developed to put the model into practice and preliminary results are discussed. The model can be used to increase the efficiency and effectiveness of instruction and to make it more appealing by providing the learner an optimal level of control over task selection. This research project is funded by the Netherlands Organization for Scientific Research (NWO, The Hague, project No. 411-02-107-V).     

Assessment criteria for competency-based education: a study in nursing education

This study examined the effects of type of assessment criteria (performance-based vs. competency-based), the relevance of assessment criteria (relevant criteria vs. all criteria), and their interaction on secondary vocational education students’ performance and assessment skills. Students on three programmes in the domain of nursing and care (N = 93) participated in the study. Results show that students who were given the relevant criteria made more accurate assessments of an expert model, performed better on a test and achieved higher instructional efficiency (defined as the relationship between performance and mental effort) compared to students who were given all criteria. Students who were given performance-based assessment criteria made more accurate assessments of an expert model and scored higher on task performance during practice compared to students who were given competency-based assessment criteria. They invested less mental effort in the assessments, resulting in higher instructional efficiency. An interaction effect for the concreteness of answers shows that the combination of performance-based and relevant criteria leads to superior analysis of worked examples compared to the other combinations of criteria.     

Training for reflective expertise: A four-component instructional design model for complex cognitive skills

This article presents a four-component instructional design model for the training of complex cognitive skills. In the analysis phase, the skill is decomposed into a set of recurrent skills that remain consistent over problem situations and a set of nonrecurrent skills that require variable performance over situations. In the design phase, two components relate to the design of practice; they pertain to the conditions under which practice leads either to rule automation during the performance of recurrent skills or to schema acquisition during the performance of nonrecurrent skills. The other two components relate to the design of information presentation; they pertain to the presentation of information that supports the performance of either recurrent or nonrecurrent skills. The basic prediction of the model is that its application leads to “reflective expertise” and increased performance on transfer tasks. Applications of the model that support this prediction are briefly discussed for the training of fault management in process industry, computer programming, and statistical analysis.     

Process-Oriented Worked Examples: Improving Transfer Performance Through Enhanced Understanding

The research on worked examples has shown thatfor novices, studying worked examples is oftena more effective and efficient way of learningthan solving conventional problems. Thistheoretical paper argues that addingprocess-oriented information to worked examplescan further enhance transfer performance,especially for complex cognitive skills withmultiple possible solution paths.Process-oriented information refers to theprincipled (``why'') and strategic (``how'')information that experts use when solvingproblems. From a cognitive load perspective,studying the expert's ``why'' and ``how''information can be seen as constituting agermane cognitive load, which can fosterstudents' understanding of the principles of adomain and the rationale behind the selectedoperators, and their knowledge about howexperts select a strategy, respectively. Issueswith regard to the design, implementation, andassessment of effects of process-orientedworked examples are discussed, as well as thequestions they raise for future research.     

Walking the tightrope with an e-portfolio: imbalance between support and autonomy hampers self-directed learning

Teacher coaching is essential to support self-directed learning, but requires a lot of time and energy. This mixed-methods study investigated the effects of using an e-portfolio with a self-coaching protocol and limited teacher coaching on the development of self-directed learning skills and motivation. With regard to self-directed learning, students’ overestimation of performance on learning tasks grew over time, while their ability to formulate points for improvement did not change significantly. With regard to motivation, students’ controlled (i.e. largely extrinsic) motivation increased while their autonomous (i.e. largely intrinsic) motivation decreased. Thematic analysis of interviews demonstrated students needed more support and feedback from their teacher. The use of suboptimal cues for performance assessment and an imperfect balance between autonomy and support hampered self-directed learning and motivation. We recommend providing just-in-time feedback about performance on learning tasks and giving students some autonomy over the choice of learning tasks, to enhance reflection and motivation.     

Novice and experienced instructional software developers: effects on materials created with instructional software templates

The development of instructional software is a complex process, posing high demands to the technical and didactical expertise of developers. Domain specialists rather than professional developers are often responsible for it, but authoring tools with pre-structured templates claim to compensate for this limited experience. This study compares instructional software products made by developers with low production experience (n = 6) and high production experience (n = 8), working with a template-based authoring tool. It is hypothesized that those with high production experience will be more productive and create software with a higher didactical quality than those with low production experience, whereas no differences with regard to technical and authoring quality are expected. The results show that the didactical quality was unsatisfactory and did not differ between groups. Nevertheless the templates compensated for differences in experience because the technical and authoring quality was equal for both groups, indicating that templates enable domain specialists to participate successfully in the production process.     

Approach and avoidance motivation and achievement goals

This article takes a critical look at three pervasive urban legends in education about the nature of learners, learning, and teaching and looks at what educational and psychological research has to say about them. The three legends can be seen as variations on one central theme, namely, that it is the learner who knows best and that she or he should be the controlling force in her or his learning. The first legend is one of learners as digital natives who form a generation of students knowing by nature how to learn from new media, and for whom “old” media and methods used in teaching/learning no longer work. The second legend is the widespread belief that learners have specific learning styles and that education should be individualized to the extent that the pedagogy of teaching/learning is matched to the preferred style of the learner. The final legend is that learners ought to be seen as self-educators who should be given maximum control over what they are learning and their learning trajectory. It concludes with a possible reason why these legends have taken hold, are so pervasive, and are so difficult to eradicate.     

Toward a Synthesis of Cognitive Load Theory, Four-Component Instructional Design, and Self-Directed Learning

This article explores the opportunities to apply cognitive load theory and four-component instructional design to self-directed learning. Learning tasks are defined as containing three elements: learners must (a) perform the tasks, (b) assess their task performance, and (c) select future tasks for improving their performance. Principles to manage intrinsic and extraneous load for performing learning tasks, such as simple-to-complex ordering and fading-guidance strategies, are also applicable to assessing performance and selecting tasks. Moreover, principles to increase germane load, such as high variability and self-explanation prompts, are also applicable to assessment and selection. It is concluded that cognitive load theory and four-component instructional design provide a solid basis for a research program on self-directed learning.