2018
DOI: 10.1007/978-3-319-93846-2_95
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Exploring the Meaning of Effective Exploratory Learner Behavior in Hands-on, Collaborative Projects Using Physical Computing Kits

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Cited by 1 publication
(2 citation statements)
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“…Individuals who establish group relationships will get 1 point each during the game. When an individual who has already established a group relationship encounters another individual who has detached from another group, the detached individual will have an impulse to update its decision and can get 1+s, while the individual with a group relationship can only get -s; when two individuals who have both detached from group relationships meet, they will get 0 benefit each, and Formula 10 gives the benefit matrix of individuals: (10) If there is a certain correlation between the learning behavior network of learning groups and the learning decision-making idea network, and learning groups in the upper network have different learning decisions, then the game rules they follow won't change, but the games of the learning groups will follow the benefit matrix of snowdrift game, as shown in Formula 11: (11) Parameter s satisfies 0<s<1. For the lower-layer network, an individual i in the learning group randomly selects a neighbor j and imitates its learning decision, and the probability of this situation is P(i→j).…”
Section: Group Learning Decision-making Based On Multiple Gamesmentioning
confidence: 99%
See 1 more Smart Citation
“…Individuals who establish group relationships will get 1 point each during the game. When an individual who has already established a group relationship encounters another individual who has detached from another group, the detached individual will have an impulse to update its decision and can get 1+s, while the individual with a group relationship can only get -s; when two individuals who have both detached from group relationships meet, they will get 0 benefit each, and Formula 10 gives the benefit matrix of individuals: (10) If there is a certain correlation between the learning behavior network of learning groups and the learning decision-making idea network, and learning groups in the upper network have different learning decisions, then the game rules they follow won't change, but the games of the learning groups will follow the benefit matrix of snowdrift game, as shown in Formula 11: (11) Parameter s satisfies 0<s<1. For the lower-layer network, an individual i in the learning group randomly selects a neighbor j and imitates its learning decision, and the probability of this situation is P(i→j).…”
Section: Group Learning Decision-making Based On Multiple Gamesmentioning
confidence: 99%
“…In order to provide guidance to learners in making learning decisions, a necessary work is to thoroughly analyze and research the changing laws of learners' learning behavior [1][2][3][4][5][6][7][8][9]. This research involves professional knowledge of psychology, pedagogy, sociology, and other disciplines, through descriptive statistics on the learning behavior of different groups, it can be found that individuals in learning groups have a few similarities in terms of the regularity of learning time, requirement for learning resources, and requirement for tutoring and accompanying [10][11][12][13][14][15][16][17]. Some field scholars in the world have researched the classification of learners based on educational big data, and figured out the trends of their learning behavior [18][19][20][21][22].…”
Section: Introductionmentioning
confidence: 99%