TY - GEN AU - Sarró-Oláh, Bernadett AU - Fodor, Szabina TI - Optimising Educational Outcomes: Data and Process Analysis Approaches with Attention to Self-Directed Learning CY - 02.05.2024 - 05.05.2024, Alanya, Turkey PY - 2024 UR - https://m2.mtmt.hu/api/publication/34883295 ID - 34883295 AB - The swift advancements in technology and the corresponding job market impose increasingly challenging and dynamic requirements on workers. This is a significant obstacle for higher education institutions in adequately preparing their students for contemporary expectations and equipping them to tackle future difficulties. Today's students are "digital natives", and they distinctly absorb knowledge and employ new strategies to learn compared to earlier generations. Hence, it is of utmost significance for higher education institutions to comprehend the student learning process. Learning management systems (LMS) can offer substantial assistance in this endeavor, as they facilitate comprehension of students' learning process, while log files also offer unbiased insights into individual adaptation. This study aims to investigate the learning mechanisms of Business Informatics students at Corvinus University of Budapest by analyzing Moodle's educational data. The objective of the study was to acquire a more comprehensive understanding of the learning patterns exhibited by students in higher education through the utilization of an extensive collection of log files. The central idea revolved around examining the behavioral, motivational, and interest-related dimensionsof learning as indicators of self-directed learning. These were examined using two primary methodologies: data analysis and process analysis. The findings indicate that distinct learning patterns exist regarding data and learning processes. Additionally, there are variations in time management and information consumption habits. The results of this study have practical implications for identifying learning patterns and developing tailored interventions to enhance educational achievements. LA - English DB - MTMT ER - TY - JOUR AU - Sarró-Oláh, Bernadett AU - Fodor, Szabina TI - Optimising Educational Outcomes: Data and Process Analysis Approaches with Attention to Self-Directed Learning JF - International Journal of Academic Studies in Science and Education VL - 2 PY - 2024 IS - 1 SP - 1 EP - 19 PG - 19 SN - 3023-5510 DO - 10.55549/ijasse.12 UR - https://m2.mtmt.hu/api/publication/34883225 ID - 34883225 AB - The swift advancements in technology and the corresponding job market impose increasingly challenging and dynamic requirements on workers. This is a significant obstacle for higher education institutions in adequately preparing their students for contemporary expectations and equipping them to tackle future difficulties. Today's students are "digital natives", and they distinctly absorb knowledge and employ new strategies to learn compared to earlier generations. Hence, it is of utmost significance for higher education institutions to comprehend the student learning process. Learning management systems (LMS) can offer substantial assistance in this endeavor, as they facilitate comprehension of students' learning process, while log files also offer unbiased insights into individual adaptation. This study aims to investigate the learning mechanisms of Business Informatics students at Corvinus University of Budapest by analyzing Moodle's educational data. The objective of the study was to acquire a more comprehensive understanding of the learning patterns exhibited by students in higher education through the utilization of an extensive collection of log files. The central idea revolved around examining the behavioral, motivational, and interest-related dimensions of learning as indicators of self-directed learning. These were examined using two primary methodologies: data analysis and process analysis. The findings indicate that distinct learning patterns exist regarding data and learning processes. Additionally, there are variations in time management and information consumption habits. The results of this study have practical implications for identifying learning patterns and developing tailored interventions to enhance educational achievements. LA - English DB - MTMT ER - TY - GEN AU - Manczinger, Melinda TI - “Fighting Fires with H2O”. Understanding Feature Contribution to Forest Fires in the Carpathians TS - Understanding Feature Contribution to Forest Fires in the Carpathians PY - 2024 UR - https://m2.mtmt.hu/api/publication/34872056 ID - 34872056 LA - English DB - MTMT ER - TY - JOUR AU - Sagala, Gaffar Hafiz AU - Őri, Dóra TI - Antifragility, resilience and collaborative networks of SMEs. a theoretical foundation TS - a theoretical foundation JF - EUROPEAN JOURNAL OF INNOVATION MANAGEMENT J2 - EU J INNOV MANAG PY - 2024 PG - 26 SN - 1460-1060 DO - 10.1108/EJIM-09-2023-0797 UR - https://m2.mtmt.hu/api/publication/34871961 ID - 34871961 LA - English DB - MTMT ER - TY - CONF AU - Buzogány, Áron AU - Sebők, Miklós AU - Manczinger, Melinda TI - Evoking and Contesting Expertise in Parliaments: An AI-supported Analysis of Climate Change Debates in Seven Countries T2 - 6th Annual COMPTEXT Conference 2024 PY - 2024 UR - https://m2.mtmt.hu/api/publication/34867148 ID - 34867148 N1 - Part of the session Politics in Europe Under Scrutiny LA - English DB - MTMT ER - TY - CONF AU - Manczinger, Melinda AU - Kovács, László AU - Kovács, Tibor TI - “Fighting Fires with H2O”. Understanding Feature Contribution to Forest Fires in the Carpathians TS - Understanding Feature Contribution to Forest Fires in the Carpathians T2 - Abstracts - 14th World Congress of the RSAI PY - 2024 SP - 70 EP - 70 PG - 1 UR - https://m2.mtmt.hu/api/publication/34867082 ID - 34867082 LA - English DB - MTMT ER - TY - GEN AU - Manczinger, Melinda AU - Kovács, László AU - Kovács, Tibor TI - “Fighting Fires with H2O”. Understanding Feature Contribution to Forest Fires in the Carpathians TS - Understanding Feature Contribution to Forest Fires in the Carpathians PY - 2024 UR - https://m2.mtmt.hu/api/publication/34867049 ID - 34867049 LA - English DB - MTMT ER - TY - JOUR AU - Horváth, Diána AU - Molnár, Dániel TI - Makronóm Intézet: Növekedés viharos nemzetközi vizeken JF - KÜLGAZDASÁG J2 - KÜLGAZDASÁG VL - 68 PY - 2024 IS - 3-4 SP - 61 EP - 72 PG - 12 SN - 0324-4202 DO - 10.47630/KULG.2024.68.3-4.61 UR - https://m2.mtmt.hu/api/publication/34855458 ID - 34855458 AB - Intézetünk előrejelzése alapján a magyar gazdaság a belső motorjaira támaszkodva érdemi, 2,8 százalékos növekedést érhet el 2024-ben. A külső környezetre és a tavalyi évet jellemző kihívásokra (magas kamatkörnyezet, geopolitikai konfliktusok, uniós források visszatartása) pillantva ez egyáltalán nem magától értetődő. A kihívásokkal teli európai – kiemelten német – gazdasági helyzetet figyelembe véve a növekedést az idei évben a fogyasztás hajthatja, ugyanis a gyors bérdinamika és az éves átlagban 5 százalék alá lassuló infláció együttesen 6 százalék feletti reálbéremelkedést indukál, ami az óvatossági motívum oldódásával érdemi támaszt jelent a bővülésnek. Pozitív lehet a beruházások növekedési hozzájárulása is a kamatok csökkenése, valamint a fokozatosan meginduló uniós források hatására, ugyanakkor a vállalati szereplőket főbb kereskedelmi partnereik helyzete óvatosságra intheti. A nettó export az idén várhatóan nem támogatja majd a kilábalást, a német gazdaság gyengélkedése miatt a kivitel csak kismértékben nőhet, miközben az importot a fogyasztás és a beruházások hajthatják. Jövőre ugyanakkor már egészséges szerkezetben, kedvezőbb külső környezetben, a belső motorok (fogyasztás, beruházások) további bővülésével folytatódhat a magyar gazdaság felzárkózása. A geopolitikai folyamatok, a blokkosodás veszélye, valamint a háborús konfliktusok továbbra is jelentős kockázati tényezőként bizonytalanságot jelentenek. LA - Hungarian DB - MTMT ER - TY - JOUR AU - AL-dirawi, Maitham TI - The Impact of Fluctuations in the International Oil Markets On the Iraqi Economy JF - World Economics & Finance Bulletin J2 - WEFB VL - 33 PY - 2024 SP - 183 EP - 195 PG - 13 SN - 2749-3628 UR - https://m2.mtmt.hu/api/publication/34845549 ID - 34845549 LA - English DB - MTMT ER - TY - JOUR AU - AL-dirawi, Maitham TI - Macroeconomic Impacts of Oil Price Shocks. Evidence from Iraq by Using Vector Autoregressive Model TS - Evidence from Iraq by Using Vector Autoregressive Model JF - INTERNATIONAL JOURNAL OF ENERGY ECONOMICS AND POLICY J2 - IJEEP VL - 14 PY - 2024 IS - 3 SP - 162 EP - 170 PG - 9 SN - 2146-4553 DO - 10.32479/ijeep.15681 UR - https://m2.mtmt.hu/api/publication/34845480 ID - 34845480 AB - Based on a VAR framework, Granger Causality Tests, Impulse Response Function and Variance Decomposition analysis on the annual data from 1970 to 2021, This study aims to demonstrate the effect of oil price fluctuations on GDP, imports, international reserves, and exports in Iraq. The Granger causality results demonstrated a unidirectional connection moving from oil price to imports, exports, international reserves, and GDP, this is an inevitable result because oil prices are determined in the international markets according to specific factors that do not include local economic variables. The variance decomposition result indicated that oil price changes are an important source of variation in the studied variables. Finally, the results of the impulse response function indicated that fluctuations in oil prices significantly impact GDP, exports, imports, and international reserves in Iraq. Therefore, we suggest that economic policymakers work seriously to develop practical plans to diversify the Iraqi economy instead of relying too heavily on oil revenues, which are characterized by sharp and continuous volatility, to avoid the negative effects of these fluctuations on the main macroeconomic variables in Iraq. LA - English DB - MTMT ER -