intuitionistic fuzzy clustering (KIFCM) to promote performance of rough set theory. Moreover, the e-learning customer data set in … performance. In analysis of e-learning data set, the empirical result indicates that proposed novel rule generation model can … analyze and model customer’s tendency in e-learning platform with proper decision rules. Originality/value – The rough set …

The Hands-On ICT project aims at facilitating the integration of ICT tools in teaching through an open and learning … creative learning activities, we were evaluating certain characteristics of the courses, importance of communication …

The article is a brief summary of the authors’ experience with using e-learning technology in courses held by the … students come from different countries, different cultures, and different learning groups. How is e-learning technology …

Based on self-leadership theory, experiential learning theory and considering current findings from neuroscience, this … paper focuses on the physical and cognitive perspective of learning and intends to analyze the relationship between body … competencies can hardly be developed simply by theoretical input and learning is a process of real experience, reflective …

unknown value. A winner’s curse phenomenon arises when subjects bid too high and make losses. Learning direction theory can … quantitative predictions on the basis of learning direction theory. We also look at monotonic ladder processes. It is shown that …

In this paper we introduce four new learning models: impulse balance learning, impulse matching learning, action …-sampling learning, and payoff-sampling learning. With this models and together with the models of self- tuning EWA learning and … reinforcement learning, we conduct simulations over 12 different 2×2 games and compare the results with experimental data obtained …

decision behavior (like learning and expectation formation), reasoning, and the connection between bounded rationality and …

learning procedures. We consider the Stochastic Gradient-Algorithm as a boundedly rational learning procedure in an univariate … influence of the forecast feedback is limited the learning agents cannot destabilize the model and learn to form rational …