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Banerjee, Abhijit; Breza, Emily; Chandrasekhar, Arun G.; Mobius, Markus – National Bureau of Economic Research, 2019
The DeGroot model has emerged as a credible alternative to the standard Bayesian model for studying learning on networks, offering a natural way to model naive learning in a complex setting. One unattractive aspect of this model is the assumption that the process starts with every node in the network having a signal. We study a natural extension…
Descriptors: Alternative Assessment, Bayesian Statistics, Incidental Learning, Networks
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Watkins, Karen E.; Marsick, Victoria J.; Wofford, M. Grant; Ellinger, Andrea D. – New Directions for Adult and Continuing Education, 2018
Examples of informal and incidental learning, including an extended discussion of informal learning in flight instruction, are used to illustrate the model of informal and incidental learning in practice, as well as the nonlinear nature of this learning.
Descriptors: Informal Education, Incidental Learning, Flight Training, Models
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Vogel, Tobias; Carr, Evan W.; Davis, Tyler; Winkielman, Piotr – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Stimuli that capture the central tendency of presented exemplars are often preferred--a phenomenon also known as the classic beauty-in-averageness effect. However, recent studies have shown that this effect can reverse under certain conditions. We propose that a key variable for such ugliness-in-averageness effects is the category structure of the…
Descriptors: Interpersonal Attraction, Preferences, Stimuli, Experiments
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Rothkopf, E. Z.; Billington, M. J. – Journal of Educational Psychology, 1975
The purpose of this experiment was to develop a more explicit conceptual model regarding how learning goals influence learning from text than is currently available. (Author/DEP)
Descriptors: College Students, Incidental Learning, Learning Processes, Memory