<p>Istraživanje je strukturirano na način da izvr&scaron;i prikupljanje podataka<br />potrebnih za statističku obradu, plansko uvođenje blended learninga u srednje &scaron;kole.<br />Na temelju prikupljenih podataka razvija se model za odlučivanje koji ima svoju<br />primjenu u dono&scaron;enju odluka u procesu planiranja uvođenja blended learninga.<br />Učenici obuhvaćeni ovim ekspermentom na osnovu pokazatelja i statistike koju<br />bilježi LMS sistem ispituju se u vje&scaron;tini i brzini savladavanja obrazovnog programa<br />kreiranog u sistemu LMS, i kroz provedenu anketu će se iskazati faktori<br />zadovoljstva učenika prema LMS-u omjerom kojim utiče na kvalitet stečenog<br />znanja kod učenika. Isto tako će se prikazati koliko se učenici podstiću na<br />međusobnu saradnju i komunikaciju i koji faktori utiču na percepciju učenika o<br />stavovima prema LMS-u.</p>

<p>The traditional concept of &lsquo;text&rsquo; is being replaced by &lsquo;hypertext&rsquo;, a non-linear and<br />intrinsically intertextual artifact made up of internally linked chunks of information of various<br />sorts (Caballero, 2005, p. 58). As a virtual structure, contemporary text allows for a hybrid<br />mixture of language, images, and sound. For that reason, it is certain that new technologies are<br />affecting the ways knowledge is being transmitted or constructed. In this paper, one method<br />that supports the application of a multimodal approach to text will be presented to demonstrate<br />how the four key skills may be improved: critical thinking, collaboration, communication, and<br />creativity (Galante, 2011). The four skills will be discussed in the context of vocabulary<br />acquisition from multimodal texts. The aim of the paper is to propose that these skills may be<br />significantly improved by means of vocabulary data mining from multimodal texts, and<br />integrating, in the process, the lexical syllabus into the contemporary English language course.</p>

This study investigates the impact of the US monetary policy, represented through the volatility of the US government bonds rate, on the return of Dow Jones UK Islamic index. Monthly observations spans, in the period between December 2006 and June 2017, are obtained from the International Monetary Fund database. The OLS regression and granger causality analysis are used to investigate the impact. The results of the analysis show that there is significant impact of the US monetary policy on the Dow Jones UK Islamic index return.