Purpose- This study investigates the impact of intrinsic rewards (Recognition, Training and Development, Work Environment, Participation in Decision Making, Workplace Flexibility) on primary school teachers’ motivation at workplace. Design/Methodology- A survey was conducted using a 5 Likert scale questionnaire among teachers different schools across Bangladesh. total 200 data gathered through ...

Impulsivity is characterized in part by heightened sensitivity to immediate relative to future rewards. Although previous research has suggested that "high discounters" in intertemporal choice tasks tend to prefer immediate over future rewards because they devalue the latter, it remains possible that they instead overvalue immediate rewards. To investigate this question, we recorded the reward ...

This position paper introduces the relatively new field of learning analytics, first by considering the relevant meanings of both “learning” and “analytics,” and then by looking at two main levels at which learning analytics can be or has been implemented in educational organizations. Although integrated turnkey systems or modules are not yet available for review, specific technologies for anal...

We consider continuous time Markov chains (CTMCs) where there are costs and rewards associated with each state. For such a CTMC the objective usually is to calculate either the long-run average costs incurred per unit time or the total discounted cost incurred over an infinite horizon. We illustrate the calculations using several examples and conclude with applications to system performance ana...

Abstract Policy gradient methods have become one of the most popular classes algorithms for multi-agent reinforcement learning. A key challenge, however, that is not addressed by many these credit assignment: assessing an agent’s contribution to overall performance, which crucial learning good policies. We propose a novel algorithm called Dr.Reinforce explicitly tackles this combining differenc...