TY - CONF AU - Fehér, Péter AU - Kő, Andrea AU - Kovács, Tibor AU - Őri, Dóra AU - Borbásné Szabó, Ildikó AU - Szabó, Zoltán AU - Vas, Réka AU - Varga, Krisztián ED - Raffai, Mária ED - Kosztyán, Zsolt Tibor TI - A COVID világjárvány hatása a magyar vállalatok digitalizációs gyakorlatára T2 - OGIK'2021 Országos Gazdaságinformatikai Konferencia PB - Platina Nyomda és Kiadó Kft. C1 - Veszprém PY - 2021 SP - 18 EP - 19 PG - 2 UR - https://m2.mtmt.hu/api/publication/32760101 ID - 32760101 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Kovács, László AU - Fodor, Szabina AU - Vas, Réka TI - Miről árulkodnak az osztályzatok?. Képzési struktúra fejlesztése a tanulók teljesítménye alapján TS - Képzési struktúra fejlesztése a tanulók teljesítménye alapján JF - STATISZTIKAI SZEMLE J2 - STATISZTIKAI SZEMLE VL - 99 PY - 2021 IS - 11 SP - 1080 EP - 1108 PG - 29 SN - 0039-0690 DO - 10.20311/stat2021.11.hu1080 UR - https://m2.mtmt.hu/api/publication/32470222 ID - 32470222 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Borbásné Szabó, Ildikó AU - Vas, Réka AU - Neusch, Gábor Loránd TI - Design Thinking Based Ontology Development for Robo-advisors JF - ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING J2 - ADV INT SYST COMPUT VL - 1351 PY - 2021 SP - 805 EP - 817 PG - 13 SN - 2194-5357 DO - 10.1007/978-3-030-71187-0_74 UR - https://m2.mtmt.hu/api/publication/32059124 ID - 32059124 LA - English DB - MTMT ER - TY - GEN AU - Borbásné Szabó, Ildikó AU - Neusch, Gábor Loránd AU - Vas, Réka TI - Design thinking based Ontology Development for Robo-advisors PY - 2020 UR - https://m2.mtmt.hu/api/publication/31817235 ID - 31817235 LA - English DB - MTMT ER - TY - JOUR AU - Meleg, Ágnes AU - Vas, Réka TI - Towards Evidence-Based, Data-Driven Thinking in Higher Education JF - LECTURE NOTES IN COMPUTER SCIENCE J2 - LNCS VL - 12394 PY - 2020 SP - 135 EP - 144 PG - 10 SN - 0302-9743 DO - 10.1007/978-3-030-58957-8_10 UR - https://m2.mtmt.hu/api/publication/31605587 ID - 31605587 LA - English DB - MTMT ER - TY - CHAP AU - Vas, Réka AU - Szücs, Patricia Zsuzsanna ED - Gómez Chova, L. ED - López Martínez, A. ED - Candel Torres, I. TI - Exploring the Possibilities of Learning Analytics in Higher Education T2 - INTED 2020 PB - International Academy of Technology, Education and Development (IATED) CY - Valencia SN - 9788409179398 T3 - INTED Proceedings, ISSN 2340-1079 PY - 2020 SP - 8527 EP - 8532 PG - 6 DO - 10.21125/inted.2020.2325 UR - https://m2.mtmt.hu/api/publication/31603331 ID - 31603331 AB - Learning Analytics can provide many opportunities for improving learning experience and performance in higher education. In addition to grades, many other data can be collected and analysed during the teaching-learning process. E-learning systems seems to be the easiest mean of collecting learning related data. Although e-learning system are already widely used in higher education, learning analytics solution are still not implemented. The purpose of the current research is to explore what can be reasons behind this phenomenon, how much teachers are aware of student learning analytics related expectations and which elements and points of learning analysis should be included in a blended learning training. A pilot course will be launched in the Moodie e-learning system. Most of the data recorded by the system - like data concerning time spent with reading course materials, assignment scores, or self-evaluation test results etc can be relevant for learning analysis. The question is how to apply this data in a meaningful and reasonable manner. Our aim is to develop and demonstrate the use of a learning analytics framework for evaluating the learning outcomes of a particular course. In order to exploit the benefits of learning analytics an integrated toolset must be developed that can identify, collect and then process data based on the various requirements. In this research high emphasis will be put on visualization solutions (e.g.: Knowledge Network, Workflow Dashboards and Rankings) for supporting students and teachers too. LA - English DB - MTMT ER - TY - CONF AU - Vas, Réka AU - Szücs, Patrícia ED - Raffai, Mária ED - Honfi, Vid TI - Tanuláselemzési módszerek feltárása és beépítése a gazdaságinformatikai képzésbe T2 - OGIK'2019 16. Országos Gazdaságinformatikai Konferencia PY - 2019 SP - 63 UR - https://m2.mtmt.hu/api/publication/31038126 ID - 31038126 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Kő, Andrea AU - Vas, Réka AU - Kovács, Tibor AU - Borbásné Szabó, Ildikó TI - Knowledge Creation from the Perspective of the Supply Chain. The Role of ICT TS - The Role of ICT JF - SOCIETY AND ECONOMY J2 - SOC ECON VL - 41 PY - 2019 IS - 3 SP - 311 EP - 329 PG - 19 SN - 1588-9726 DO - 10.1556/204.2019.009 UR - https://m2.mtmt.hu/api/publication/30843467 ID - 30843467 LA - English DB - MTMT ER - TY - JOUR AU - Borbásné Szabó, Ildikó AU - Vas, Réka TI - Vacancy Mining to Design Personalized Learning Analytics for Future Employees JF - LECTURE NOTES IN COMPUTER SCIENCE J2 - LNCS VL - 11709 PY - 2019 SP - 58 EP - 69 PG - 12 SN - 0302-9743 DO - 10.1007/978-3-030-27523-5_5 UR - https://m2.mtmt.hu/api/publication/30811154 ID - 30811154 LA - English DB - MTMT ER - TY - JOUR AU - Vas, Réka AU - Weber, Christian AU - Gkoumas, Dimitris TI - Implementing connectivism by semantic technologies for self-directed learning JF - INTERNATIONAL JOURNAL OF MANPOWER J2 - INT J MANPOWER VL - 39 PY - 2018 IS - 8 SP - 1032 EP - 1046 PG - 15 SN - 0143-7720 DO - 10.1108/IJM-10-2018-0330 UR - https://m2.mtmt.hu/api/publication/30376716 ID - 30376716 LA - English DB - MTMT ER -