3 resultados para Affective Computing

em Bucknell University Digital Commons - Pensilvania - USA


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Affective reactions to academic performance appear to be influenced by performance outcome, self-esteem, and causal attributions. We investigated whether expectancies for success and the confirmation or disconfirmation of epectancies also influenced students' affective reactions and causal attributions in achievement settings. Subjects were 132 university students. Causal attributions and affective reactions to an achievement-related situation were assessed and related to students' self-esteem, expectancies for success, and confirmation or disconfirmation of expectancies. Results indicated that causal attributions were related to confirmation or disconfirmation of expectancies for success and to self-esteem. Affective reactions were related to the interaction of self-esteem, expectancies for success, and confirmation or disconfirmation of expectancies. Further analysis suggested that students' affective reactions to performance may serve to maintain existing levels of self-esteem. The role of self-referent and other-referent emotions in self-esteem maintenance was also discussed.

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Investigated whether affective reactions in achievement settings were related to self-esteem in 308 undergraduates. Ss completed a self-esteem questionnaire and an affect questionnaire in which achievement outcomes and causal sources were manipulated within a short-story format. Affective reactions to various academic situations portrayed in the stories then were assessed and related to Ss' self-esteem. Resulting biserial correlations between the dichotomized affective reactions and self-esteem indicate that affective reactions to success and failure were related to Ss' level of self-esteem. An extrapolation from the present results and related research is that causal internalization with resulting self-referent affects may be facilitated by providing academic feedback consistent with self-esteem.

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This thesis presents two frameworks- a software framework and a hardware core manager framework- which, together, can be used to develop a processing platform using a distributed system of field-programmable gate array (FPGA) boards. The software framework providesusers with the ability to easily develop applications that exploit the processing power of FPGAs while the hardware core manager framework gives users the ability to configure and interact with multiple FPGA boards and/or hardware cores. This thesis describes the design and development of these frameworks and analyzes the performance of a system that was constructed using the frameworks. The performance analysis included measuring the effect of incorporating additional hardware components into the system and comparing the system to a software-only implementation. This work draws conclusions based on the provided results of the performance analysis and offers suggestions for future work.