Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/27767
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dc.contributor.authorIdrizi, Ermiraen_US
dc.contributor.authorFiliposka, Sonjaen_US
dc.contributor.authorTrajkovik, Vladimiren_US
dc.date.accessioned2023-09-06T08:44:25Z-
dc.date.available2023-09-06T08:44:25Z-
dc.date.issued2022-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/27767-
dc.description.abstractThe quest for knowledge is a defining characteristic of our age. Hybrid learning is an extension of this endeavour, combining in-person and remote training. Due to the COVID-19 outbreak, all classroom activities were moved online. Hybrid learning is here to stay due to its advantages in modern education delivery while satisfying learning objectives. However, it has some flaws that hinder its acceptance. To gather real-time data on how students respond to digital transformation, the present paper examines student diversity in relation to the digital threshold. We aim to map students' online learning experiences in terms of adaptability, learning outcomes and compare the different modes of students' taking classes, and their academic achievements. Even though hybrid learning shows some limitations and drawbacks, nevertheless it is more accepting by students' than only handing materials. However, there are ways to overcome the disadvantages of hybrid learning and promote its future acceptance. Because hybrid learning takes advantage of current technological advances to fulfil learners' requirements in a range of contexts, it holds enormous potential for the future of education.en_US
dc.relation.ispartofGreen Economy and Technological Change for Sustainability-5th international Scientific Conference on Business and Information Technologies. South East European University Tetovo of North Macedoniaen_US
dc.subjectOnline learning, Hybrid learning, Mode of deliveryen_US
dc.titleHybrid Learning-the new normalen_US
dc.typeJournal Articleen_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
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