Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ahmad Hajeer"'
Publikováno v:
Edutec, Iss 89 (2024)
Integrating AI-powered tutoring systems in higher education represents a significant advancement in educational technology, offering personalized and adaptive learning experiences. This study investigates the perceptions and expectations of higher ed
Externí odkaz:
https://doaj.org/article/787ef17580684d09b18cb1b4cef97040
Autor:
Jamil Toptsi, Ahmad Hajeer
Publikováno v:
GiLE Journal of Skills Development, Vol 3, Iss 2, Pp 85-96 (2023)
In today’s globalised business landscape, characterised by a proliferation of multinational corporations employing culturally diverse workforces, intercultural sensitivity is important in facilitating collaboration. Regarding higher education, it h
Externí odkaz:
https://doaj.org/article/2e828e43b25e443fad62de9f1eacfce6
Autor:
Ahmad Hajeer, Jamil Toptsi
Publikováno v:
Journal of Adult Learning, Knowledge and Innovation. 5:36-45
Massive Open Online Courses (MOOCs) provide digital learning opportunities for students around the world. To reach students, MOOCs must advertise themselves to encourage enrollment. While previous studies have explored the content of MOOC description
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6aa8ccb84877936b98ebf9e2f8044bd1
https://doi.org/10.1556/2059.2021.00043
https://doi.org/10.1556/2059.2021.00043
Publikováno v:
Szemelvények a BGE kutatásaiból ISBN: 9786156342492
The study presents the first experiences and results of the BEE Mentor Program, which started in September 2022 at the Faculty of International Management and Business of Budapest Business School, University of Applied Sciences with the guidance and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fc6c0cb59beb3ad32c21c5233c898cf
https://doi.org/10.29180/978-615-6342-49-2_28
https://doi.org/10.29180/978-615-6342-49-2_28
Publikováno v:
CASE
A new methodology that mixes the already well-established classifications of Wall Climbing Robots (WCR) based on locomotion and attachment is proposed. The need for industrial inspections of processing assets, with vertical flat surfaces, like tanks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b268dee19286c0d32b843f3194164b8
https://doi.org/10.1109/case48305.2020.9216878
https://doi.org/10.1109/case48305.2020.9216878