20.500.12556/DKUM-58637 Problemski pristop pri poučevanju fizike s spremljavo mrežnih interakcij med učenci Problem-based-teaching of physics with tracing the network interactions V magistrskem delu smo z analizo socialnih mrež, ki temelji na teoriji grafov, raziskali pomen interakcij med učenci za uspešno reševanje fizikalnih problemov različnih težavnosti. Uporabili smo didaktični model obrnjenega učenja, s poudarkom na skupinskem reševanju problemov. Analizirali smo vpliv pretoka informacij na uspešnost reševanja med učno šibkimi in učno močnimi učenci. Ugotovili smo, da je stopnja sodelovanja odvisna od težavnosti problema in je močneje izražena pri lažjih problemih. Pri reševanju težjih problemov se sodelovanje zgosti okrog učencev z boljšimi učnimi dosežki. Vzpostavi se poudarjen pretok informacij od učno močnejših k učno šibkejšim učencem, zaradi česar lahko slednji dosežejo boljše rezultate. Ugotovitev, da zaradi socialnih interakcij pridobijo vsi učenci in da ima skupina za uspešno reševanje boljše izhodišče kot posameznik, so v skladu z načeli sodelo-valnega učenja. Dodatno pa ugotavljamo, da je za uspešno uporabo sodobnih sodelovalnih oblik pouka potrebno v učna okolja vključiti analitična orodja za spremljanje učeče se skupine. V ta namen predlagamo vključitev informacijsko-komunikacijskih tehnologij, ki so prilagojena personalizaciji in individualizaciji pouka v smislu celostne podpore pri konstruiranju lastnega znanja. V magistrskem delu je izdelano analitično orodje, ki bi ga v prihodnosti lahko implementirati v obliki učne platforme, ki bi zagotavljala enostavnejšo in še bolj učinkovito spremljanje učencev in njihovih interakcij v skupini, hkrati pa bi učiteljem zagotavljala učinkovit prikaz rezultatov analitike in omogočala pripravo na delo v razredu. The master’s thesis presents research on the importance of interactions among students for the successful solving of physics problems at different levels of difficulty. The research is based on social network analysis and uses the flipped classroom pedagogical model with an emphasis on group problem solving. The analysis focuses on the impact of the information flow among students with different learning abilities on the effectiveness of problem solving. The findings of the research show that the level of cooperation depends on the difficulty of the problem and is stronger in solving easier problems. In solving more difficult problems, the interactions aggregate around students with a better solving performance. When the information flow from stronger to weaker students is enhanced, the latter may improve their results. These findings confirm the principles of cooperative learning, according to which a group is more successful in solving problems than an individual, and social interactions benefit all the students. Furthermore, the research findings suggest that for successful use of modern collaborative techniques in teaching it is necessary to incorporate analytical tools for monitoring the learning group. For this purpose, information and communication technologies which are adapted for personalization and individualization of instruction should be used to support the students’ building of their own knowledge. As part of this master’s thesis, an analytical tool was developed which enables a simpler and more effective way of monitoring students and their interactions within the group. In the future, this tool could be implemented as a learning platform which could provide teachers with important analytics and thus help them in effective class preparation. didaktika fizike problemski pouk obrnjeno učenje sodelovalno učenje analiza socialnih mrež analitika in nove IKT personalizacija učenja didactics of physics problem-based learning in physics flipped classroom cooperative learning social network analysis analytics and new ICT personalization of learning true true false [M. Žigart] Slovenski jezik Angleški jezik Magistrsko delo 2016-04-24 17:16:52 2016-08-26 13:28:08 2022-06-17 03:06:58 2019-07-11 10:46:31 2016 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 37.091.31-059.2:004:53(043.2) 22470152 URN:SI:UM:DK:WNX7HUNC MAG_Zigart_Marko_2016.pdf MAG_Zigart_Marko_2016.pdf 1 906FF4B0C2BC9011A043FA228F550CC7 4798196b24b34137771f8f14cd3c29e413fff07c08bfb65419008bf67554166f d61c24c3-7c0c-11eb-bb7a-00155d0001ca https://dk.um.si/Dokument.php?lang=slv&id=96024 Fakulteta za naravoslovje in matematiko 0 0 0