| Title | Analitika učenja u sustavima e-učenja |
| Author | Natko Bajić |
| Mentor(s) | Ani Grubišić (thesis advisor)
|
| Abstract | Ovaj diplomski rad započinje pregledom razvoja, ideja i nekih ostvarenih inteligentnih tutorskih sustava, nakon čega je detaljno opisana njihova danas široko prihvaćena arhitektura u vidu četiri modula. Nastavlja se pogledom na analitiku učenja iz perspektive vodećih istraživača tog područja, danas neizostavne pedagoške znanstvene discipline te se zaključuje o njenoj primjeni u inteligentnim tutorskim sustavima, ističući povezanost ova dva područja istraživanja. Predstavljene su osnovne zamisli inteligentnog tutorskog sustava AC-ware Tutor, koji posebnu pažnju pridaje modulu učenika i koristi se na splitskom PMF-u od 2012. g. Podaci o radu studenata iskorišteni su za prikaz podataka o napretku za vrijeme njihovog učenja. Za obradu se koristi programskom paketu RStudio, integriranom programskom okruženju za jezik R, najpopularnijeg alata u analitici učenja, čije su osnove također metodički objašnjene kroz konkretne primjere, a dane su i idejne smjernice za buduća istraživanja u analitici učenja. |
| Keywords | e-learning intelligent tutoring system learning analytics data mining adaptive courseware stereotype R language RStudio |
| Parallel title (English) | Learning analytics in e- learning systems |
| Committee Members | Ani Grubišić (committee chairperson)
Branko Žitko (committee member)
Divna Krpan (committee member)
|
| Granter | University of Split
University of Split, Faculty of science |
| Lower level organizational units | Department of Informatics |
| Place | Split |
| State | Croatia |
| Scientific field, discipline, subdiscipline | TECHNICAL SCIENCES
Computing
|
| Study programme type | university |
| Study level | graduate |
| Study programme | Physics and Computer Science; specializations in: major in teaching |
| Study specialization | major in teaching |
| Academic title abbreviation | mag. educ. phys. et inf. |
| Genre | master's thesis |
| Language | Croatian |
| Defense date | 2017-09-25 |
| Parallel abstract (English) | This thesis starts with the overview of development, ideas and evaluation of intelligent tutoring systems, after which widely accepted architecture of its four modules is described in detail. Paper is continued with a synthesis of learning analytics from its prominent researcher's point of view, concluding with application in intelligent tutoring systems while highlighting synergy of these two academic disciplines. Basic ideas of intelligent tutoring system AC-ware Tutor are presented. This system is focused on student module and came into use in 2012 on Faculty of science, University of Split. Student data from this system were logged and now used for representation of their learning progress. Data was processed in RStudio, an integrated development environment for R language, the most popular tool in learning analytics. Its basics are also methodically explained through the examples. Some ideas for direction of future research on this system in learning analytics are also given. |
| Parallel keywords (Croatian) | e-učenje inteligentni tutorski sustav analitika učenja obrada podataka prilagodljivi računalom oblikovani nastavni sadržaj stereotip jezik R RStudio |
| Resource type | text |
| Access condition | Open access |
| Terms of use |  |
| URN:NBN | https://urn.nsk.hr/urn:nbn:hr:166:909825 |
