Variability of worked examples and transfer of geometrical problem-solving skills : a cognitive-load approach

Four computer-based training strategies for geometrical problem solving in the domain of computer numerically controlled machinery programming were studied with regard to their effects on training performance, transfer performance, and cognitive load. A low- and a high-variability conventional condition, in which conventional practice problems had to be solved (followed by worked examples), were compared with a low- and a high-variability worked condition, in which worked examples had to be studied. Results showed that students who studied worked examples gained most from high-variability examples, invested less time and mental effort in practice, and attained better and less effort-demanding transfer performance than students who first attempted to solve conventional problems and then studied work examples

Automation and schema acquisition in learning elementary computer programming: Implications for the design of practice

Two complementary processes may be distinguished in learning a complex cognitive skill such as computer programming. First, automation offers task-specific procedures that may directly control programming behavior, second, schema acquisition offers cognitive structures that provide analogies in new problem situations. The goal of this paper is to explore what the nature of these processes can teach us for a more effective design of practice. The authors argue that conventional training strategies in elementary programming provide little guidance to the learner and offer little opportunities for mindful abstraction, which results in suboptimal automation and schema acquisition. Practice is considered to be most beneficial to learning outcomes and transfer under strict conditions, in particular, a heavy emphasis on the use of worked examples during practice and the assignment of programming tasks that demand mindful abstraction from these examples

Interactivity in video-based models

In this review we argue that interactivity can be effective in video-based models to engage learners in relevant cognitive processes. We do not treat modeling as an isolated instructional method but adopted the social cognitive model of sequential skill acquisition in which learners start with observation and finish with independent, self-regulated performance. Moreover, we concur with the notion that interactivity should emphasize the cognitive processes that learners engage in when they interact with the learning environment. The four-component instructional design (4C/ID) model is used to define a set of cognitive processes: Elaboration and induction enable learners to construct schemas, whereas compilation and strengthening enable learners to automate these schemas. Pacing, cues, control over appearance, prediction, working in dyads, personalized task selection, and reflection prompts are identified as guidelines that might support learners to interactively construct schemas. Personalized task selection with part-task practice helps learners to interactively automate schemas

Facilitating flexible problem solving: A cognitive load perspective

The development of flexible, transferable problem-solving skills is an important aim of contemporary educational systems. Since processing limitations of our mind represent a major factor influencing any meaningful learning, the acquisition of flexible problem-solving skills needs to be based on known characteristics of our cognitive architecture in order to be effective and efficient. This paper takes a closer look at the processes involved in the acquisition of flexible problem-solving skills within a cognitive load framework. It concludes that (1) cognitive load theory can benefit from putting more emphasis on generalized knowledge structures; (2

Educational theories and computer game design: lessons from an experiment in elementary mathematics education

Although educational games have been used for a considerable time, their true potential for enhancing achievement and motivation is still being explored. We argue in this paper that we may get closer to realizing this potential if the theoretical underpinning of educational games is improved. We developed a simple interactive math game based on insights from cognitive load and game design theory, in which players solve mathematical problems competitively and creatively. To investigate the effects of the game on achievement and motivation, we ran an experiment with fifth- and sixth-grade students. Our results show that students who played the game achieved better math results than those who did not. We did not find any significant differences in math motivation. Another promising finding, albeit beyond the scope of our hypotheses, relates to the potential effects of math games on student behavior

Cognitive-Load Theory: Methods to Manage Working Memory Load in the Learning of Complex Tasks

Cognitive-load researchers attempt to engineer the instructional control of cognitive load by designing methods that substitute productive for unproductive cognitive load. This article highlights proven and new methods to achieve this instructional control by focusing on the cognitive architecture used by cognitive-load theory and aspects of the learning task, the learner, and the learning environment

Effects of spatial distance on the effectiveness of mental and physical integration strategies in learning from split-attention examples

Learning from spatially separated text and pictures is improved when learners are instructed to use a physical or mental integration strategy. This study investigated whether varying the spatial distance between text and pictures affects the effectiveness of physical and mental integration strategies. We hypothesized that a larger spatial distance would increase cognitive load and harm learning. Ninety-two university students studied the functioning of an electrical circuit from text and pictures that were presented at a small or large spatial distance from each other, while using a physical or mental integration strategy during learning. Results indicated that participants using the mental integration strategy obtained higher recall scores than participants using the physical integration strategy, but no differences were found for comprehension, transfer, and cognitive load. No effects of spatial distance were found. More research is needed to investigate to what extent spatial distance influences learning with mental and physical integration strategies

Cognitive load theory: New conceptualizations, specifications, and integrated research perspectives

Over the last few years, cognitive load theory has progressed and advanced rapidly. The articles in this special issue, which document those advances, are based on contributions to the 3rd International Cognitive Load Theory Conference (2009), Heerlen, The Netherlands. The articles of this special issue on cognitive load theory discuss new conceptualizations of the different categories of cognitive load, an integrated research perspective of process-oriented and cognitive load approaches to collaborative learning, an integrated research perspective of cognitive and social-cognitive approaches to example-based learning, and a specification of the theory focusing on the acquisition of generalized knowledge structures as a means to facilitate flexible problem-solving skills. This article provides a short introduction to the theory, discusses some of its recent advances, and provides an overview of the contributions to this issue

Compensatory effects of pointing and predictive cueing on age-related declines in visuospatial working memory

In this study, we investigated whether the visuospatial working memory performance of young and older adults would improve if they used a multimodal as compared with a unimodal encoding strategy, and whether or not visual cues would add to this effect. In Experiment 1, participants were presented with trials consisting of an array of squares and an array of circles. They were instructed to point at one type of figure (multimodal encoding strategy) and only to observe the other (unimodal encoding strategy). After each trial, an immediate location recognition test of one of the two arrays followed. In Experiment 2, the same task was used, but a cue was provided, either before or after the encoding phase, indicating which of the two arrays would be tested. Our results showed that a multimodal, as compared with a unimodal, encoding strategy improved visuospatial working memory performance in both young and older adults (Exp. 1), and that adding visual cues to the multimodal but not to the unimodal encoding strategy improved older adults’ performance up to the level of young adults (Exp. 2). In both age groups, cueing after encoding led to higher performance in the multimodal than in the unimodal condition when the second array was tested. However, cueing before encoding led to higher performance in the multimodal than in the unimodal condition when the first array of the figure sequence was tested. These results suggest that pointing together with predictive cueing can have beneficial effects on visuospatial working memory, which is especially important for older adults