20.500.12556/DKUM-82289 Spodbujevano učenje diskretnih markovskih jeder Reinforcement learning of discrete markov kernels V magistrskemu delu predstavimo akademijo učenja logičnih operatorjev z markovskimi jedri, katero so rešili študentje predmeta matematično modeliranje. Ob reševanju z elementi formativnega spremljanja opazujemo, v katerem čustvenem stanju se nahajajo, saj želimo, da pri učenju doživijo zanos. V prvem delu podrobno predstavimo uvodne pojme preslikav, teorije mere, verjetnosti in markovskih jeder ter teorijo optimalnega izkustva učenja z njeno matematizacijo. Pojasnimo čustvena stanja, katera doživlja agent ob reševanju nalog in se nanašajo na njegove sposobnosti ter zanimanje. V drugem delu predstavimo pojem akademije in elemente formativnega spremljanja v visokošolskem izobraževanju. Pojasnimo teorijo logičnih operatorjev in predstavimo akademijo, katere naloge z rešitvami se nahajajo na koncu magistrskega dela. Opišemo študijo primera, kjer kot mentorji, z vnaprej pripravljenimi cilji formativnega spremljanja, vodimo študente, da doživijo optimalno izkušnjo učenja. In this thesis, we present the academy of learning Boolean logical operators with Markov kernels, which was solved by the students of the course Matematično modeliranje. During the academy solving, we observe them with elements of formative assessment due to determining their emotional states, because we want them to experience flow. In the first part, we represent the terms of maps, measurement theory, probability and Markov kernels along with the theory of optimal learning experience and its mathematization. We explain the emotional states of an agent who is performing tasks, which depend on his skill and challenge levels. In the second part, we represent the term of academy and elements of formative assessment in higher education. We explain the theory of Boolean logical operators and we present the academy, whose tasks and solutions are presented at the end of this thesis. We describe the case study, where we participate as mentors and lead students towards accomplishing their optimal learning experience. diskretne naključne spremenljivke markovska jedra učenje optimalna izkušnja učenja zanos akademija logični operatorji mentorstvo formativno spremljanje. discrete random variables Markov kernels learning optimal learning experience flow academy logical operators mentoring formative assessment. true true false [M. Strmšek] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2022-08-10 15:34:13 2022-08-31 13:32:57 2022-09-01 03:06:47 0000-00-00 00:00:00 2022 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 519.217:004.8:159.976(043.2) 119691267 MAG_Strmsek_Manca_2022.pdf MAG_Strmsek_Manca_2022.pdf 1 2DB090FC6AC68D2629D428049218A3B2 f7c71943e99a0c796aa4d8a45736bfdd6a15aafd0c44d577ef34078b2b361b96 6d980fbb-1944-11ed-856c-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=159956 Fakulteta za naravoslovje in matematiko 0 0 0