[go: up one dir, main page]
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.3
2.5
Journals
Applied Sciences
Special Issues
Advanced Technologies Applied in Digital Media Era
applsci-logo
Submit to Special Issue Submit Abstract to Special Issue Review for Applied Sciences Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Advanced Technologies Applied in Digital Media Era

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 20 July 2025 | Viewed by 2310

Special Issue Editors

Dr. Alexandros Kleftodimos

E-Mail Website
Guest Editor
Department of Communication and Digital Media, University of Western Macedonia, 52100 Kastoria, Greece
Interests: educational technologies; digital media in communication; virtual and augmented reality; audiovisual content production
Dr. Maria Matsiola

E-Mail Website
Guest Editor
Department of Communication and Digital Media, University of Western Macedonia, 52100 Kastoria, Greece
Interests: communication studies; new media technologies and studies; audiovisual content management
Special Issues, Collections and Topics in MDPI journals
Dr. Michalis Vrigkas

E-Mail Website
Guest Editor
Department of Communication and Digital Media, University of Western Macedonia, 52100 Kastoria, Greece
Interests: virtual and augmented reality; computer vision; image and video processing; image analysis; machine learning; pattern recognition with applications in medical image analysis and biometrics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The digital media landscape is undergoing a deep transformation, driven by rapid technological advancements. In today's world, digital media is an integral part of our lives, shaping the way we conduct a broad range of daily activities, including communication, information consumption, entertainment, and interaction with one another. The constant evolution of social media platforms, the proliferation of audiovisual streaming services, the advancements in immersive technologies, and the appearance of generative AI tools profoundly impact the way we create, distribute, and engage with digital content.

This Special Issue aims to explore the cutting-edge technologies shaping the future of digital media. It will investigate how innovations such as artificial intelligence, virtual and augmented reality, big data analytics, 5G technology, IoT, and blockchain are being applied to enhance and revolutionize the digital media experience. Furthermore, it will also examine current advancements in audiovisual production, such as virtual production, interactive media, transmedia storytelling, AI in content creation, etc.

This Special Issue will investigate these advancements to provide a comprehensive understanding of their impact on content creation, distribution strategies, user engagement, and overall media consumption.

Topics of interest include, but are not limited to, the following:

  • Artificial Intelligence and Machine Learning: Applications in content creation, personalization, and predictive analytics.
  • Augmented Reality (AR) and Virtual Reality (VR): Innovations in immersive media experiences and their implications for entertainment, news consumption, and education.
  • Big Data and Analytics: Utilization of large datasets in data-driven media strategies (e.g., audience segmentation, content personalization, marketing and promotion, predicting media success, script development in audiovisual productions, etc.)
  • Blockchain Technology: Enhancing transparency, security, and rights management in digital media transactions.
  • Internet of Things (IoT): Integration of smart devices in audiovisual content production environments and digital communication platforms.
  • 5G and Beyond: Impact of next-generation connectivity on media distribution, live streaming, and real-time interaction.
  • Human–Computer Interaction: Advancements in interfaces, user experience design, and accessibility in digital media platforms.
  • Digital Ethics and Privacy: Addressing ethical considerations and privacy concerns in the deployment of advanced technologies.

Dr. Alexandros Kleftodimos
Dr. Maria Matsiola
Dr. Michalis Vrigkas
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • digital media
  • artificial intelligence
  • augmented reality
  • virtual reality
  • Internet of Things (IoT)
  • big data analytics
  • digital content creation
  • multimedia systems
  • interactive media
  • streaming technologies
  • blockchain
  • 5G technology
  • user experience

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

Jump to: Review

38 pages, 1609 KiB  
Article
Advanced Technologies from and Through a Prototype Radio Lesson with Budding Journalists: The Views and Attitudes of Xers, Millennials, and Zoomers
by Constantinos Nicolaou
Appl. Sci. 2025, 15(2), 588; https://doi.org/10.3390/app15020588 - 9 Jan 2025
Viewed by 500
Abstract
In this research article, budding journalists’ views and attitudes toward a prototype radio lesson that was designed and implemented utilizing advanced technologies are explored. These budding journalists hail from Greece, were studying in higher education or adult education at the time of the [...] Read more.
In this research article, budding journalists’ views and attitudes toward a prototype radio lesson that was designed and implemented utilizing advanced technologies are explored. These budding journalists hail from Greece, were studying in higher education or adult education at the time of the survey, and belong to one of the three youngest generational cohorts within adults (i.e., 18 years old and older); Generation X where their members are now known as Xers, Generation Y where their members are already known as Millennials, and Generation Z where their members are also known as Zoomers—XYZ Generations. The survey’s research data were collected after six interactive teachings from and through advanced technologies, via a specially designed written questionnaire, as case study experiments that applied qualitative action research with quasi-experiments. Analysis, descriptive, and inductive statistics were then applied to them from and through Internet applications and services. This is essentially empirical qualitative research that incorporates the approach of the quantitative analysis process. The resulting survey findings and results mainly contribute to the quality of higher education and adult education, especially in the field of media studies. Likewise, they align with or confirm previous contemporary empirical studies and research papers on the genealogical characteristics, habits, and ethos of the XYZ Generations, and particularly regarding the similarities among Xers and Zoomers, as well as that Generation Z can also be characterized as a “Sound Generation”. An important conclusion of this research article is that the success of a lesson or even a lecture seems to depend (a) on the good design and/or development of the lesson plan itself, as well as (b) on the communication classroom where the educational praxis takes place. Finally, these survey findings and results are also considered encouraging and could be utilized (a) for any audiovisual-supported teaching–learning procedure for adult learners; (b) across various educational levels and disciplines; or even (c) for members other generational cohorts. Full article
(This article belongs to the Special Issue Advanced Technologies Applied in Digital Media Era)
►▼ Show Figures

Figure 1

Figure 1
<p>The framework of the embedded inquiry stages followed in this survey (March 2019 to October 2022).</p> Full article ">Figure 2
<p>Budding journalists’ demographics per experiment.</p> Full article ">Figure 3
<p>Budding journalists’ demographics per gender.</p> Full article ">

Review

Jump to: Research

38 pages, 6313 KiB  
Review
Learning Analytics and Educational Data Mining in Augmented Reality, Virtual Reality, and the Metaverse: A Systematic Literature Review, Content Analysis, and Bibliometric Analysis
by Georgios Lampropoulos and Georgios Evangelidis
Appl. Sci. 2025, 15(2), 971; https://doi.org/10.3390/app15020971 - 20 Jan 2025
Viewed by 1185
Abstract
This study aims to examine the combination of educational data mining and learning analytics with virtual reality, augmented reality, mixed reality, and the metaverse, its role in education, and its impact on teaching and learning. Therefore, a systematic literature review, a bibliometric and [...] Read more.
This study aims to examine the combination of educational data mining and learning analytics with virtual reality, augmented reality, mixed reality, and the metaverse, its role in education, and its impact on teaching and learning. Therefore, a systematic literature review, a bibliometric and scientific mapping analysis, and a content analysis are carried out based on 70 relevant documents identified from six databases, namely, ACM, ERIC, IEEE, ScienceDirect, Scopus, and Web of Science (WoS) following the PRISMA framework. The documents were separated into the following three categories, (i) Theoretical and Review studies, (ii) Proposal and Showcase studies, and (iii) Experimental and Case studies and were examined from different dimensions through an in-depth content analysis using both quantitative and qualitative approaches. The documents were further analyzed using scientometric tools, such as Bibliometrix and VOSviewer and topic modeling through Latent Dirichlet Allocation (LDA). The most prominent topics, areas, and themes were revealed and the outcomes regarding the influence of this combination on learning and teaching were summarized. Based on the results, this combination can effectively enrich education, positively affect learning and teaching, offer deep and meaningful learning, and support both students and teachers. Additionally, it can support different educational approaches and strategies, various learning styles, and special education and be utilized in both formal and informal learning environments. The real-time identification, tracking, monitoring, analysis, and visualization of multimodal learning data of students’ behavior, emotions, cognitive and affective states and the overall learning and teaching processes emerged as a significant benefit that contributes greatly to the realization of adaptive and personalized learning. Finally, it was revealed that the combination of extended reality technologies with learning analytics and educational data mining can support collaborative learning and social learning, improve students’ self-efficacy and self-regulated learning, and increase students’ learning gains, academic achievements, knowledge retention, motivation, and engagement. Full article
(This article belongs to the Special Issue Advanced Technologies Applied in Digital Media Era)
►▼ Show Figures

Figure 1

Figure 1
<p>The relationship among extended reality technologies, educational data mining, and learning analytics.</p> Full article ">Figure 2
<p>PRISMA flow diagram.</p> Full article ">Figure 3
<p>Document type distribution.</p> Full article ">Figure 4
<p>Study type distribution.</p> Full article ">Figure 5
<p>Information regarding the document collection.</p> Full article ">Figure 6
<p>Annual distribution of published studies.</p> Full article ">Figure 7
<p>Distribution of studies per country and category.</p> Full article ">Figure 8
<p>Distribution of studies based on the technology used.</p> Full article ">Figure 9
<p>Distribution of studies based on the method used.</p> Full article ">Figure 10
<p>Keywords plus/Indexed keywords.</p> Full article ">Figure 11
<p>Author keywords.</p> Full article ">Figure 12
<p>Trend topics.</p> Full article ">Figure 13
<p>Thematic map.</p> Full article ">Figure 14
<p>Co-occurrence network—Bibliometrix.</p> Full article ">Figure 15
<p>Co-occurrence network—VOSviewer.</p> Full article ">
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop