Applying fuzzy clustering to assess and anticipate students' educational progress in learning environments

The purpose of this paper is to propose a method to anticipate students' proceed and to enhance their learning efficiency and success in a learning environment, using data mining. Based on library and survey searching methods, as well as consulting with experts, some effective features in students' learning are identified and then using feature selection method, the most efficient ones are chosen. To clarify the relation between selected features, fuzzy clustering is applied to them. In the second phase of the research, scores of the students of Educational environment study, are predicted, using data mining. Variables taken are midterm and final scores and the average score of selected units in one semester by students studying there between 2006 (1385) and 2012 (1391). According to the achieved methods we can guide each student from the beginning of the semester in line with their effective features, and based on scores gained during the semester we can inform the student about his range of final score to receive an educational plan based on his/her abilities. These methods can be effective in streamlining learning procedure in a system. Test results show the desired accuracy (0.939) of the proposed method than previous methods (discovery of association rules, classification, and identifying the inconsistencies)

Kaon Production and Kaon to Pion Ratio in Au+Au Collisions at \snn=130 GeV

Mid-rapidity transverse mass spectra and multiplicity densities of charged and neutral kaons are reported for Au+Au collisions at \snn=130 GeV at RHIC. The spectra are exponential in transverse mass, with an inverse slope of about 280 MeV in central collisions. The multiplicity densities for these particles scale with the negative hadron pseudo-rapidity density. The charged kaon to pion ratios are $K^+/\pi^- = 0.161 \pm 0.002 {\rm (stat)} \pm 0.024 {\rm (syst)}$ and $K^-/\pi^- = 0.146 \pm 0.002 {\rm (stat)} \pm 0.022 {\rm (syst)}$ for the most central collisions. The $K^+/\pi^-$ ratio is lower than the same ratio observed at the SPS while the $K^-/\pi^-$ is higher than the SPS result. Both ratios are enhanced by about 50% relative to p+p and $\bar{\rm p}$+p collision data at similar energies.Comment: 6 pages, 3 figures, 1 tabl

dˉ\bar d and 3^3He production in sNN\sqrt{s_{NN}} = 130 GeV Au + Au collisions

The first measurements of light antinucleus production in Au+Au collisions at RHIC are reported. The observed production rates for antideuterons and antihelions are much larger than in lower energy nucleus-nucleus collisions. A coalescence model analysis of the yields indicates that there is little or no increase in the antinucleon freeze-out volume compared to collisions at SPS energy. These analyses also indicate that the antihelion freeze-out volume is smaller than the antideuteron freeze-out volume