Effects of Motivation on Test Performance of First Year Covenant University Students

This study examined the effect of motivation on test performance of first year Covenant University students, Ota, Ogun State. The study adopted pre-test, post-test experimental design. Data for the study were obtained from sixty (60) students with age range between 15 and 18 years (average age = 16.5 years). Participants were randomly assigned to three conditions using independent group design. The independent and dependent variables were motivation and test performance respectively. The two hypotheses were analysed using Mann- Whitney U test. The result shows a significant difference between the result of the unrewarded students in the control group and students rewarded with verbal praise in the experimental group (U = 61.000, N1 = 20, N2 = 20, p< 0.05, one-tailed). There was also a significant difference between the result of the students rewarded with primary reinforcers and the unrewarded students in the control group (U = 45.000, N1 = 20, N2 = 20, p< 0.05, one-tailed). This study justifies the importance of motivation on test performance. To improve students’ academic performance, teachers are encouraged to motivate their students. Key words: Teachers, motivation, test performance, Ot

Some Considerations Regarding the Problem of Multidimensional Utility

The concept of 'utility' is often used in ambiguous ways in economics, from having substantive psychological connotations to being a formal placeholder representing a person's preferences. In the accounts of the early utilitarians, it was a multidimensional measure that has been condensed during the marginalist revolution into the unidimensional measure we know today. But can we compare different pleasures? This paper assesses the evidence from psychology and neurosciences on how to best conceive of utility. It turns out that empirical evidence does not favor a view of multidimensional utility. This does not eliminate the possibility to make a normative argument supporting a multidimensional notion of utility.utility, pleasures, neuroeconomics, multidimensionality of utility

A reinforcement learning theory for homeostatic regulation

Reinforcement learning models address animal’s behavioral adaptation to its changing “external” environment, and are based on the assumption that Pavlovian, habitual and goal-directed responses seek to maximize reward acquisition. Negative-feedback models of homeostatic regulation, on the other hand, are concerned with behavioral adaptation in response to the “internal” state of the animal, and assume that animals’ behavioral objective is to minimize deviations of some key physiological variables from their hypothetical setpoints. Building upon the drive-reduction theory of reward, we propose a new analytical framework that integrates learning and regulatory systems, such that the two seemingly unrelated objectives of reward maximization and physiological-stability prove to be identi- cal. The proposed theory shows behavioral adaptation to both internal and external states in a disciplined way. We further show that the proposed framework allows for a unified explanation of some behavioral pattern like motivational sensitivity of different associative learning mechanism, anticipatory responses, interaction among competing motivational systems, and risk aversion

A Theory Explains Deep Learning

This is our journal for developing Deduction Theory and studying Deep Learning and Artificial intelligence. Deduction Theory is a Theory of Deducing World’s Relativity by Information Coupling and Asymmetry. We focus on information processing, see intelligence as an information structure that relatively close object-oriented, probability-oriented, unsupervised learning, relativity information processing and massive automated information processing. We see deep learning and machine learning as an attempt to make all types of information processing relatively close to probability information processing. We will discuss about how to understand Deep Learning and Artificial intelligence and why Deep Learning is shown better performance than the other methods by metaphysical logic

HRM and Performance: What’s Next?

The last decade of empirical research on the added value of human resource management (HRM), also known as the HRM and Performance debate, demonstrates evidence that ‘HRM does matter’ (Huselid, 1995; Guest, Michie, Conway and Sheehan, 2003; Wright, Gardner and Moynihan, 2003). Unfortunately, the relationships are often (statistically) weak and the results ambiguous. This paper reviews and attempts to extend the theoretical and methodological issues in the HRM and performance debate. Our aim is to build an agenda for future research in this area. After a brief overview of achievements to date, we proceed with the theoretical and methodological issues related to what constitutes HRM, what is meant by the concept of performance and what is the nature of the link between these two. In the final section, we make a plea for research designs starting from a multidimensional concept of performance, including the perceptions of employees, and building on the premise of HRM systems as an enabling device for a whole range of strategic options. This implies a reversal of the Strategy-HRM linkage

Web Acceptance and Usage Model: A Comparison between Goal-directed and Experiential Web Users

In this paper we analyse the Web acceptance and usage between goal-directed users and experiential users, incorporating intrinsic motives to improve the particular and explanatory TAM value –traditionally related to extrinsic motives-. A field study was conducted to validate measures used to operationalize model variables and to test the hypothesised network of relationships. The data analysis method used was Partial Least Squares (PLS).The empirical results provided strong support for the hypotheses, highlighting the roles of flow, ease of use and usefulness in determining the actual use of the Web among experiential and goal-directed users. In contrast with previous research that suggests that flow would be more likely to occur during experiential activities than goal-directed activities, we found clear evidence of flow for goal-directed activities. In particular the study findings indicate that flow might play a powerfulrole in determining the attitude towards usage,intention to useand, in turn,actual Web use among experiential and goal-directed users

HRM and Performance: What’s Next?

The last decade of empirical research on the added value of human resource management (HRM), also known as the HRM and Performance debate, demonstrates evidence that ‘HRM does matter’ (Huselid, 1995; Guest, Michie, Conway and Sheehan, 2003; Wright, Gardner and Moynihan, 2003). Unfortunately, the relationships are often (statistically) weak and the results ambiguous. This paper reviews and attempts to extend the theoretical and methodological issues in the HRM and performance debate. Our aim is to build an agenda for future research in this area. After a brief overview of achievements to date, we proceed with the theoretical and methodological issues related to what constitutes HRM, what is meant by the concept of performance and what is the nature of the link between these two. In the final section, we make a plea for research designs starting from a multidimensional concept of performance, including the perceptions of employees, and building on the premise of HRM systems as an enabling device for a whole range of strategic options. This implies a reversal of the Strategy-HRM linkage

Opinion Polarization by Learning from Social Feedback

We explore a new mechanism to explain polarization phenomena in opinion dynamics in which agents evaluate alternative views on the basis of the social feedback obtained on expressing them. High support of the favored opinion in the social environment, is treated as a positive feedback which reinforces the value associated to this opinion. In connected networks of sufficiently high modularity, different groups of agents can form strong convictions of competing opinions. Linking the social feedback process to standard equilibrium concepts we analytically characterize sufficient conditions for the stability of bi-polarization. While previous models have emphasized the polarization effects of deliberative argument-based communication, our model highlights an affective experience-based route to polarization, without assumptions about negative influence or bounded confidence.Comment: Presented at the Social Simulation Conference (Dublin 2017

Communicating outcomes of students\u27 evaluations of teaching and learning: one-size-fits-all?

Student evaluations of teaching are increasingly used to measure the teaching of individual academics in Australian higher education. The outcomes of these evaluations are variably made available to the individual academics themselves, to university management and to the public. However, communicating evaluation outcomes to each of these audiences assumes a different purpose and necessitates different objectives, foci and methodology. The need for these differences is sometimes forgotten with a &lsquo;one-size-fits-all&rsquo; approach in Australian higher education. This paper examines these differences and discusses some of the issues surrounding the communication of the outcomes of student evaluations of teaching.<br /

Neural mechanisms of affective instability and cognitive control in substance use

Objective: We explored the impact of affect on cognitive control as this relates to individual differences in affective instability and substance use. Toward this end, we examined how different dimensions of affective instability interact to predict substance misuse and the effect of this on two event-related potential components, the reward positivity and the late positive potential, which are said to reflect the neural mechanisms of reward and emotion processing, respectively. Methods: We recorded the ongoing electroencephalogram from undergraduate students as they navigated two T-maze tasks in search of rewards. One of the tasks included neutral, pleasant, and unpleasant pictures from the International Affective Picture System. Participants also completed several questionnaires pertaining to substance use and personality. Results: A principal components analysis revealed a factor related to affective instability, which we named reactivity. This factor significantly predicted increased substance use. Individuals reporting higher levels of affective reactivity also displayed a larger reward positivity following stimuli with emotional content. Conclusion: The current study uncovered a group of high-risk substance users who were characterized by greater levels of affective reactivity and context-specific increased sensitivity to rewards. Significance: These results help to elucidate the complex factors underlying substance use and may facilitate the creation of individually-tailored treatment programs for those struggling with substance use disorders