intrinsic motivationlearningExploratory activities seem to be intrinsically rewarding for children and crucial for their cognitive development. Can a machine be endowed with such an intrinsic motivation system?
Achievement goals and optimal motivation: Testing multiple goal models Journal of Personality and Social Psychology (2001) T. Bouffard et al. Changes in self-perceptions of competence and intrinsic motivation among elementary school children The British Journal of Educational Psychology (2003)View more ...
Explore related subjects Discover the latest articles and news from researchers in related subjects, suggested using machine learning. Achievement Motivation Logic in AI Extrinsic Motivation Intrinsic Motivation Motivated Behavior Work Motivation Data availibility Not applicable....
We assessed different facets of work motivation with the Motivation at Work Scale (Gagné et al.,2010), using 12 items on a 7-point rating scale, (1 – does not apply at allto7 – applies fully). The subscales capture the four different qualities of motivation, namely intrinsic motivation...
Intrinsic motivation inventory EM: Enhanced motivation AC: Algorithm controlled LMC: Leap motion controller NJIT: New Jersey Institute of Technology ARAT: Action research arm test SIS: Stroke impact scale BBT: Box and blocks test IQR: Interquartile range MCID: Minimum clinically importan...
desynchronization FOI Frequencies of interest FPGA Field-programmable-gate-array FSM Finite-state machine HOV Horizontal eye movements IMI Intrinsic motivation inventory ITI Inter-trial interval LRP Lateralized readiness potential MEG Magnetoencephalography ROM Range of motion Catalán et al...
Autonomous forms of motivation in the out-of-school context are also proposed to be related to intentions to do mathematics homework in the future mediated by the proximal predictors of intention from the theory of planned behavior, namely, attitudes (intrinsic motivation, H4d; identified regulation...
Furthermore, it is important to note that intrinsic motivation mechanisms could be influenced when asked to behave according to a specific protocol. This will be discussed in details when describing our experimental setup. Here, we make a step in this direction by presenting an exploratory study ...
this framework considers algorithms where exploration is driven by models of intrinsic motivation/curiosity at multiple levels of abstraction (from the active choice of parameterized motor primitives to the choice of parameterized problems/goals to the choice of learning strategies - e.g. deciding when...
1) consists of 11 named variables: performance expectancy, perceived usefulness, habit, social influence, price value, facilitating conditions, hedonic motivation, effort expectancy, trust and safety, behavioral intention, and perceived risk. These constructs were measured by at least three scale items....