In cognitive tasks, solvers can adopt different strategies to process information which may lead to different response behavior. These strategies might elicit different eye movement patterns which can thus provide substantial information about the strategy a person uses. However, these strategies are usually hidden and need to be inferred from the data. After an overview of existing techniques which use eye movement data for the identification of latent cognitive strategies, we present a relatively easy to apply unsupervised method to cluster eye movement recordings to detect groups of different solution processes that are applied in solving the task. We test the method's performance using simulations and demonstrate its use on two examples of empirical data. Our analyses are in line with presence of different solving strategies in a Mastermind game, and suggest new insights to strategic patterns in solving Progressive matrices tasks.
The learning benefits of peer assessment and providing peer feedback have been widely reported. However, it is still not understood which learning activities most facilitate the acquisition of feedback skills. This study aimed to compare the effect of a modeling example, i.e., a model that demonstrated how to give feedback, on the acquisition of feedback skills. The participants were second-year bachelor students in pedagogical sciences (N = 111). They were assigned randomly to a practice condition, in which they practiced giving feedback on oral presentations, or a modeling example condition, in which a teacher demonstrated how to give feedback on a good and a bad presentation. Students then gave feedback to a presenter in a video (direct feedback measure). One week later, they gave each other peer feedback on oral presentations (delayed feedback measure). On the direct feedback measure, students in the modeling example condition used assessment criteria more often in their feedback, and produced significantly more overall feedback, and significantly more positive and negative judgments than students in the practice condition. There was no significant difference in the amount of elaboration and feed-forward between the two conditions. On the delayed feedback measure, there were no significant differences between the two experimental conditions. The results suggest that, at least in the short term, a modeling example can stimulate the use of assessment criteria and judgments in feedback. The results and implications for future research and practice are discussed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.