Maria A. Perifanou

dblp:20/7377 · DBLP profile ↗
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5ranked-venue papers
2as first author
4since 2021 · last 2024
0000-0002-9874-8417ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 5 · 2 first-author · 4 since 2021Applied, interdisciplinary, general and emerging computing · 5 · 2 first-author · 4 since 2021
YearPublicationVenuePosition
2024 Exploiting the TARC Framework: The Relations Between Educators' Attitudes Towards AR, Innovativeness, Digital Skills, and AR Skills in Education
Stavros A. Nikou, Maria A. Perifanou, Anastasios A. Economides
iLRN (1)2
2023 "TRINE 4D Pedagogical Model": Designing Teaching Scenarios for Using Telepresence Robots in Education
Maria A. Perifanou
EC-TEL1
2022 Mobile Telepresence Robots in Education: Strengths, Opportunities, Weaknesses, and Challenges
Maria A. Perifanou, Anastasios A. Economides, Polina Häfner, Thomas Wernbacher
EC-TEL1
2022 Augmented Reality Applications for Urban Cultural Heritage Sites: An Overview
abstract
Augmented Reality applications have become the newest technology used in the Cultural Heritage domain. These applications can be used in education and tourism. Various methods and software tools provide the means of designing such applications. This study provides an overview of the most recent Augmented Reality projects in Cultural Heritage sites in urban environments, comparing tracking methods, devices, themes, and settings used in each project. The most frequently used tracking method is camera-based, with handheld devices being almost entirely preferred in such projects. There is an even distribution of themes, while outdoor scenarios are the preferred setting.
Apostolos Vlachos, Maria A. Perifanou, Anastasios A. Economides
ICALT2
2018 MOOC affordances model
abstract
Although there is a great interest on MOOCs, it is not clear what a MOOC should provide to learners enabling them to achieve their objectives. This paper proposes the MOOC Affordances Model (MOOC-AM) for characterizing a MOOC. The MOOC-AM consists of eight dimensions of affordances: 1) Massiveness, 2) Openness, 3) Interaction, Communication, Cooperation & Collaboration, 4) Personalization & Adaptation, 5) Autonomy, Choice & Control, 6) Support, Scaffolding, Help, Facilitation, Assistance, Feedback & Recommendations, 7) Mobility & Ubiquity, and 8) Accreditation, Certification & Assessment. In order to illustrate the application of the MOOC-AM, MOOCs on Programming in Python were examined regarding the affordances they provide. The findings reveal that none MOOC excels in all eight affordances. Learners, educators, designers, developers, and policy makers could consider this MOOC-AM to make appropriate decisions.
Anastasios A. Economides, Maria A. Perifanou
EDUCON2