Vangel V. Ajanovski

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Juho LeinonenUniversity of AucklandVerified email at auckland.ac.nz
Timo HynninenPrincipal Research Scientist, Häme University of Applied Sciences, HAMKVerified email at hamk.fi
Chris MessomMonash UniversityVerified email at monash.edu
Andrew PetersenUniversity of Toronto MississaugaVerified email at utoronto.ca
Petri IhantolaUniversity of HelsinkiVerified email at helsinki.fi
Antti KnutasAssociate professor at LUT UniversityVerified email at lut.fi
Arto HellasAalto UniversityVerified email at aalto.fi
Soohyun Nam LiaoUniversity of California, San DiegoVerified email at ucsd.edu
Fouh EricAssistant Professor of Practice, Computer Science. University of PennsylvaniaVerified email at cis.upenn.edu
Chris GonsalvezMonash UniversityVerified email at monash.edu
Neena ThotaUniversity of Massachusetts, AmherstVerified email at cs.umass.edu
Matthew PooleUniversity of PortsmouthVerified email at port.ac.uk
Andrew Luxton-ReillyProfessor, Computer Science, University of AucklandVerified email at aucklanduni.ac.nz
Jack ParkinsonUniversity of GlasgowVerified email at glasgow.ac.uk
Ljupcho AntovskiFaculty of Computer Science and Engineering, University Ss. Cyril and Methodius, Skopje, MacedoniaVerified email at finki.ukim.mk
Marjan GusevSs Cyril and Methodius University in SkopjeVerified email at finki.ukim.mk
Anastas MisevUniversity Ss Cyril and Methodius, Faculty of Computer Science and EngineeringVerified email at finki.ukim.mk
Radoslav Yoshinovassoc. prof. of Computer Science, Laboratory of Telematics - BASVerified email at cc.bas.bg
Katrina FalknerProfessor, School of Computer Science, University of AdelaideVerified email at adelaide.edu.au
Rebecca VivianSenior Research Fellow, The University of AdelaideVerified email at adelaide.edu.au

Vangel V. Ajanovski

Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University

Verified email at finki.ukim.mk - Homepage

Educational Data Mining Recommender systems Curriculum analysis Learning Technologies Information Systems


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Predicting academic performance: a systematic literature review A Hellas, P Ihantola, A Petersen, VV Ajanovski, M Gutica, T Hynninen, ... Proceedings companion of the 23rd annual ACM conference on innovation and …, 2018	262	2018
Pass rates in introductory programming and in other stem disciplines Simon, A Luxton-Reilly, VV Ajanovski, E Fouh, C Gonsalvez, J Leinonen, ... Proceedings of the Working Group Reports on Innovation and Technology in …, 2019	31	2019
Integration of a course enrolment and class timetable scheduling in a student information system VV Ajanovski International Journal of Database Management Systems (IJDMS) 5 (1), 85-95, 2013	17	2013
Evaluation of grade prediction using model-based collaborative filtering methods L Rechkoski, VV Ajanovski, M Mihova 2018 IEEE Global Engineering Education Conference (EDUCON), 1096-1103, 2018	14	2018
Guided Exploration of the Domain Space of Study Programs - Recommenders in Improving Student Awareness on the Choices Made during Enrollment VV Ajanovski Proceedings of the 4th Joint Workshop on Interfaces and Human Decision …, 2017	11*	2017
Personalized Adaptive System for Term Enrolments Based on Curriculum Recommendations and Student Achievement V Ajanovski Proceedings of the IADIS International Conference Information Systems, 342-346, 2013	10	2013
Towards a virtual academic adviser VV Ajanovski 8th International Conference for Informatics and Information Technology …, 2011	9	2011
Information System of the Institute of Informatics: IS for Students by the Students V Ajanovski Proceedings of the Seventh Conference on Informatics and Information …, 2010	7*	2010
Evolutionary Curriculum Reconstruction: Process Model and Information System Development VV Ajanovski Proceedings of the 18th Annual Conference on Information Technology …, 2017	6	2017
& Liao, SN (2018, July). Predicting academic performance: a systematic literature review A Hellas, P Ihantola, A Petersen, VV Ajanovski, M Gutica, T Hynninen Proceedings companion of the 23rd annual ACM conference on innovation and …, 0	6
Body of Knowledge Explorer: Long-Term Student Guidance Across the Computer-Science Domain VV Ajanovski Proceedings of the 19th Koli Calling International Conference on Computing …, 2019	5	2019
Taxonomizing features and methods for identifying at-risk students in computing courses A Hellas, P Ihantola, A Petersen, VV Ajanovski, M Gutica, T Hynninen, ... Proceedings of the 23rd Annual ACM Conference on Innovation and Technology …, 2018	4	2018
A personal mobile academic adviser VV Ajanovski Mobile Web Information Systems: 10th International Conference, MobiWIS 2013 …, 2013	4	2013
Meaningful assessment at scale: helping instructors to assess online learning N Falkner, R Vivian, K Falkner, VV Ajanovski, C Liebe, A Morrison, ... Proceedings of the 2020 ACM Conference on Innovation and Technology in …, 2020	3	2020
Curriculum mapping as a tool for improving students satisfaction with the choice of courses VV Ajanovski Proceedings of the 2017 ACM Conference on Innovation and Technology in …, 2017	3	2017
Information System for Mapping the Coverage of Reference Curriculum Guidelines in the Teaching Curricula of a Higher-Education Institution VV Ajanovski Proceedings of the 14th International Conference for Informatics and …, 2017	3	2017
Pass rates in STEM disciplines including computing Simon, A Luxton-Reilly, V Ajanovski, E Fouh, C Gonsalvez, J Leinonen, ... Proceedings of the 2019 ACM Conference on Innovation and Technology in …, 2019	2	2019
Initialization of Matrix Factorization Methods for University Course Recommendations Using SimRank Similarities A Krstova, B Stevanoski, M Mihova, VV Ajanovski ICT Innovations 2018, 172-184, 2018	2	2018
Personalized Long-term Student Guidance Towards Graduation V Ajanovski EdMedia+ Innovate Learning, 1449-1454, 2018	2	2018
SISng: Student Information Systems of the Next Generation - Official Project Website VV Ajanovski https://develop.finki.ukim.mk/projects/sisng, 2018	2*	2018

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