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Vangel V. Ajanovski
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2020 – today
- 2024
- [c18]Daphne Miedema, Toni Taipalus, Vangel V. Ajanovski, Abdussalam Alawini, Martin Goodfellow, Michael Liut, Svetlana Peltsverger, Tiffany Young:
Curriculum Analysis for Data Systems Education. ITiCSE (2) 2024 - 2022
- [c17]Vangel V. Ajanovski:
Rapid Aspect-Oriented Assessment of Relational Database Design Assignments. SIGITE 2022: 86-87 - 2021
- [c16]Vangel V. Ajanovski:
dbLearn*: Open-Source System and a Set of Practices for Conducting Iterative Exercises and Exams in a Databases Course. SIGITE 2021: 61-62 - 2020
- [c15]Nickolas J. G. Falkner, Rebecca Vivian, Katrina Falkner, Vangel V. Ajanovski, Christine Liebe, Alistair Morrison, Miranda C. Parker:
Meaningful Assessment at Scale: Helping Instructors to Assess Online Learning. ITiCSE 2020: 512-513 - [c14]Vangel V. Ajanovski:
Tools for Analysis of Curricula Evolution Across Computer Science Curriculum Guidelines. ITiCSE 2020: 539-540 - [c13]Vangel V. Ajanovski:
What to study next?: Visual Guidance in Knowledge Acquisition. IUI Companion 2020: 57-58
2010 – 2019
- 2019
- [c12]Simon, Andrew Luxton-Reilly, Vangel V. Ajanovski, Eric Fouh, Christabel Gonsalvez, Juho Leinonen, Jack Parkinson, Matthew Poole, Neena Thota:
Pass Rates in Introductory Programming and in other STEM Disciplines. ITiCSE-WGR 2019: 53-71 - [c11]Simon, Andrew Luxton-Reilly, Vangel V. Ajanovski, Eric Fouh, Chris Gonsalvez, Juho Leinonen, Jack Parkinson, Matthew Poole, Neena Thota:
Pass Rates in STEM Disciplines Including Computing. ITiCSE 2019: 267-268 - [c10]Vangel V. Ajanovski:
Body of Knowledge Explorer: Long-Term Student Guidance Across the Computer-Science Domain. Koli Calling 2019: 5:1-5:5 - 2018
- [c9]Ljupcho Rechkoski, Vangel V. Ajanovski, Marija Mihova:
Evaluation of grade prediction using model-based collaborative filtering methods. EDUCON 2018: 1096-1103 - [c8]Alisa Krstova, Bozhidar Stevanoski, Marija Mihova, Vangel V. Ajanovski:
Initialization of Matrix Factorization Methods for University Course Recommendations Using SimRank Similarities. ICT Innovations 2018: 172-184 - [c7]Arto Hellas, Petri Ihantola, Andrew Petersen, Vangel V. Ajanovski, Mirela Gutica, Timo Hynninen, Antti Knutas, Juho Leinonen, Chris H. Messom, Soohyun Nam Liao:
Predicting academic performance: a systematic literature review. ITiCSE (Companion) 2018: 175-199 - [c6]Arto Hellas, Petri Ihantola, Andrew Petersen, Vangel V. Ajanovski, Mirela Gutica, Timo Hynninen, Antti Knutas, Juho Leinonen, Chris H. Messom, Soohyun Nam Liao:
Taxonomizing features and methods for identifying at-risk students in computing courses. ITiCSE 2018: 364-365 - 2017
- [c5]Vangel V. Ajanovski:
Curriculum Mapping as a Tool for Improving Students Satisfaction with the Choice of Courses. ITiCSE 2017: 76-77 - [c4]Vangel V. Ajanovski:
Guided Exploration of the Domain Space of Study Programs - Recommenders in Improving Student Awareness on the Choices Made during Enrollment. IntRS@RecSys 2017: 43-47 - [c3]Vangel V. Ajanovski:
Evolutionary Curriculum Reconstruction: Process Model and Information System Development. SIGITE 2017: 89-94 - 2013
- [c2]Vangel V. Ajanovski:
Integrated Model of a Social Navigation System with Self-adaptive Feedback Control Mechanism. FedCSIS 2013: 1063-1070 - [c1]Vangel V. Ajanovski:
A Personal Mobile Academic Adviser. MobiWIS 2013: 300-303
Coauthor Index
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last updated on 2024-07-20 20:26 CEST by the dblp team
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