Abstract:Although experts should be well positioned to convey their superior knowledge and skill to novices, the organization of that knowledge, and particularly its level of abstraction, may make it difficult for them to do so. Using an electronic circuit-wiring task, the authors found that experts as compared with beginners used more abstract and advanced statements and fewer concrete statements when providing task instructions to novices. In a 2nd study, the authors found that beginner-instructed novices performed b… Show more
“…As a result, there is little evidence to suggest at what point this form of gaze following ceases to be useful, or whether similar performance gains could arise from following a novice's eye movements. It is encouraging that more studies are examining collaborative visual search, yet the assertion that expert eye movements should be especially useful in training novices where to look neglects the possibility that a peer's eye movements could also be useful in directing attention (see Brennan et al, 2008;Stein & Brennan, 2004; see also Hinds, Patterson, & Pfeffer, 2001). That is, even the extensive literature on gaze perception has yet to determine if we follow another's gaze based on whether the person is an "expert" or "novice."…”
Double reading of chest x-rays is often used to ensure that fewer abnormalities are missed, but very little is known about how the search behavior of others affects observer performance. A series of experiments investigated whether radiographers benefit from knowing where another person looked for pulmonary nodules, and whether the expertise of the model providing the search behavior was a contributing factor. Experiment 1 compared the diagnostic performance of novice and experienced radiographers examining chest x-rays and found that both groups performed better when shown the search behavior of either a novice radiographer or an expert radiologist. Experiment 2 established that benefits in performance only arose when the eye movements shown were related to the search for nodules; however, only the novices' diagnostic performance consistently improved when shown the expert's search behavior. Experiment 3 reexamined the contribution of task, image, and the expertise of the model underlying this benefit. Consistent with Experiment 1, novice radiographers were better at identifying nodules when shown either a naı ¨ve's search behavior or an expert radiologist's search behavior, but they demonstrated no improvement when shown a naı ¨ve model not searching for nodules. Our results suggest that although the benefits of this form of attentional guidance may be short-lived, novices can scaffold their decisions based on the search behavior of others.
“…As a result, there is little evidence to suggest at what point this form of gaze following ceases to be useful, or whether similar performance gains could arise from following a novice's eye movements. It is encouraging that more studies are examining collaborative visual search, yet the assertion that expert eye movements should be especially useful in training novices where to look neglects the possibility that a peer's eye movements could also be useful in directing attention (see Brennan et al, 2008;Stein & Brennan, 2004; see also Hinds, Patterson, & Pfeffer, 2001). That is, even the extensive literature on gaze perception has yet to determine if we follow another's gaze based on whether the person is an "expert" or "novice."…”
Double reading of chest x-rays is often used to ensure that fewer abnormalities are missed, but very little is known about how the search behavior of others affects observer performance. A series of experiments investigated whether radiographers benefit from knowing where another person looked for pulmonary nodules, and whether the expertise of the model providing the search behavior was a contributing factor. Experiment 1 compared the diagnostic performance of novice and experienced radiographers examining chest x-rays and found that both groups performed better when shown the search behavior of either a novice radiographer or an expert radiologist. Experiment 2 established that benefits in performance only arose when the eye movements shown were related to the search for nodules; however, only the novices' diagnostic performance consistently improved when shown the expert's search behavior. Experiment 3 reexamined the contribution of task, image, and the expertise of the model underlying this benefit. Consistent with Experiment 1, novice radiographers were better at identifying nodules when shown either a naı ¨ve's search behavior or an expert radiologist's search behavior, but they demonstrated no improvement when shown a naı ¨ve model not searching for nodules. Our results suggest that although the benefits of this form of attentional guidance may be short-lived, novices can scaffold their decisions based on the search behavior of others.
“…This not only means that they perform very fast and tend to skip steps (Blessing and Anderson 1996;Kalyuga and Sweller 2004), which might make it difficult for students to see or follow what the model is doing but also means that the model may have difficulty verbalizing what s/he is doing because the performance does not require controlled processing (Feldon 2007). It has also been suggested that the level of abstraction of instructions provided by experts may pose problems for novices' understanding and that instructions provided by somewhat advanced individuals led to better task performance (Hinds et al 2001). On the other hand, the higher level of abstraction in expert instructions seemed to be more beneficial for solving novel tasks (i.e., transfer; Hinds et al 2001).…”
Section: How Should Examples Be Designed To Optimize Their Effectivenmentioning
confidence: 99%
“…It has also been suggested that the level of abstraction of instructions provided by experts may pose problems for novices' understanding and that instructions provided by somewhat advanced individuals led to better task performance (Hinds et al 2001). On the other hand, the higher level of abstraction in expert instructions seemed to be more beneficial for solving novel tasks (i.e., transfer; Hinds et al 2001). Moreover, expert models might be more effective for advanced students to learn from, as they might be less bothered by the skipping of steps, as their own knowledge base is closer to that of the expert and they are more likely to know what the relevant aspects of performance are that they need to attend to (cf.…”
Section: How Should Examples Be Designed To Optimize Their Effectivenmentioning
Example-based learning has been studied from different perspectives. Cognitive research has mainly focused on worked examples, which typically provide students with a written worked-out didactical solution to a problem to study. Social-cognitive research has mostly focused on modeling examples, which provide students the opportunity to observe an adult or a peer model performing the task. The model can behave didactically or naturally, and the observation can take place face to face, on video, as a screen recording of the model's computer screen, or as an animation. This article reviews the contributions of the research on both types of example-based learning on questions such as why examplebased learning is effective, for what kinds of tasks and learners it is effective, and how examples should be designed and delivered to students to optimize learning. This will show both the commonalities and the differences in research on example-based learning conducted from both perspectives and might inspire the identification of new research questions. Bandura's (1977Bandura's ( , 1986) social learning theory. Both argue that it would be Educ Psychol Rev (2010) 22:155-174
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“…First, automated knowledge may be omitted from procedural explanations (e.g., Cooke & McDonald, 1987;de Groot & Gobet, 1996;Gruber, 1989;Hinds, Patterson, & Pfeffer, 2001). Second, novices process task-relevant information in a fundamentally different way than do experts.…”
Instruction on problem solving in particular domains typically relies on explanations from experts about their strategies. However, research indicates that such self-reports often are incomplete or inaccurate (e.g., Chao & Salvendy, 1994;Cooke & Breedin, 1994). This article evaluates research on experts' cognition, the accuracy of experts' self-reports, and the efficacy of instruction based on experts' self-reports. Analysis of this evidence indicates that experts' free recall of strategies introduces errors and omissions into instructional materials that hinder student success. In contrast, when experts engage in structured knowledge elicitation techniques (e.g., cognitive task analysis), the resultant instruction is more effective. Based on these findings, the article provides a theoretical explanation of experts' self-report errors and discusses implications for the continued improvement of instructional design processes.
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