Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Akrivi KROUSKA"'
Autor:
Nikolaos Sergis, Christos Troussas, Akrivi Krouska, Christina Tzortzi, Georgios Bardis, Cleo Sgouropoulou
Publikováno v:
Computers, Vol 13, Iss 2, p 46 (2024)
The need for effective cognitive training methodologies has increased, particularly for individuals dealing with Attention Deficit Hyperactivity Disorder (ADHD). In response to this demand, Virtual Reality (VR) technology emerges as a promising tool
Externí odkaz:
https://doaj.org/article/5802bc7d407740618a46f70800d26eb8
Autor:
Christos Troussas, Akrivi Krouska, Panagiota Tselenti, Dimitrios K. Kardaras, Stavroula Barbounaki
Publikováno v:
Information, Vol 14, Iss 9, p 505 (2023)
The extensive pool of content within educational software platforms can often overwhelm learners, leaving them uncertain about what materials to engage with. In this context, recommender systems offer significant support by customizing the content de
Externí odkaz:
https://doaj.org/article/cccc2c28b885497184f3683e24ed2821
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
Externí odkaz:
https://doaj.org/article/4ec5c16bf4b345e4b7c2081de4cc6cf4
Publikováno v:
Informatics in Education, Vol 20, Iss 1, Pp 107-130 (2021)
This review paper presents a systematic literature review on the use of Augmented Reality (AR) in engineering education, and specifically in student’s spatial ability training, for the last decade. Researchers have explored the benefits of AR, and
Externí odkaz:
https://doaj.org/article/0eafab5f0b174bd79d8822ac247f92f1
Publikováno v:
Computers, Vol 12, Iss 5, p 109 (2023)
Recommender systems are widely used in various fields, such as e-commerce, entertainment, and education, to provide personalized recommendations to users based on their preferences and/or behavior. Τhis paper presents a novel approach to providing c
Externí odkaz:
https://doaj.org/article/aef19d33b710410b83c8c275888ddd0c
Autor:
Christos Troussas, Akrivi Krouska
Publikováno v:
Information, Vol 14, Iss 1, p 9 (2022)
Recommender systems can offer a fertile ground in e-learning software, since they can assist users by presenting them with learning material in which they can be more interested, based on their preferences. To this end, in this paper, we present a ne
Externí odkaz:
https://doaj.org/article/4878b3dd8bfc4eca9a4432e34bff8300
Publikováno v:
Computers, Vol 11, Iss 10, p 143 (2022)
In this systematic review, research works pertaining to the use of augmented reality (AR) in special education are investigated. In recent years, the introduction of Information and Communication Technology (ICT) in education has transformed the teac
Externí odkaz:
https://doaj.org/article/9558f467d95c4e7b8ecc06036fbcbdd0
Publikováno v:
Sensors, Vol 22, Iss 18, p 7059 (2022)
Adaptive systems and Augmented Reality are among the most promising technologies in teaching and learning processes, as they can be an effective tool for training engineering students’ spatial skills. Prior work has investigated the integration of
Externí odkaz:
https://doaj.org/article/0435b1cf391d4da7a57f312930015546
Enhancing Human-Computer Interaction in Digital Repositories through a MCDA-Based Recommender System
Publikováno v:
Advances in Human-Computer Interaction, Vol 2021 (2021)
Digital repositories contain a large amount of content, which is available to heterogeneous groups of people. As such, in many cases people encounter difficulties in finding specific content which is related to their preferences. In view of this comp
Externí odkaz:
https://doaj.org/article/ff7ff187e6094aa081717947f361033b
Autor:
Iro Athina Valagkouti, Christos Troussas, Akrivi Krouska, Michalis Feidakis, Cleo Sgouropoulou
Publikováno v:
Computers, Vol 11, Iss 5, p 72 (2022)
Affective computing can be implemented across many fields in order to provide a unique experience by tailoring services and products according to each person’s needs and interests. More specifically, digital learning and robotics in education can b
Externí odkaz:
https://doaj.org/article/9f1b582ecf4a4adf8b66323fc6152c3a