Advanced Technologies and Methodologies in Education 4.0

A special issue of Applied System Innovation (ISSN 2571-5577).

Deadline for manuscript submissions: 1 September 2024 | Viewed by 2599

Special Issue Editors


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Guest Editor
School of Pedagogical and Technological Education, ASPETE, Athens, Greece
Interests: physical computing; computational thinking; STEM; robotics

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Guest Editor
Department of Digital Systems, School of Technology, University of Thessaly, Geopolis, 41500 Larissa, Greece
Interests: physical computing; computational thinking; embedded systems; sensors; digital twin; educational technology; educational robotics; learning machines; remote labs; AR/VR; STE(A)M; IoT; IoE
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Digital Systems, School of Technology, University of Thessaly, Geopolis, 41500 Larissa, Greece
Interests: wireless sensor networks; networks; wireless communications; cross-layer optimization; quantum communications; security and IoT; Physical Computing; STEM; Robotis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue focuses on state-of-the-art research works on advanced technologies, digital tools and methodologies for STEM education, educational robotics, distant learning, remote labs and IoT applications in education. It also highlights and combines contemporary pedagogical approaches, along with digital technologies, AI and ML algorithms for education, communication technologies (i.e., sensor and communication networks) and embedded technologies with a research focus on computational pedagogy and physical computing frameworks.

The contribution topics of primary interest include, but are not limited to, the following:

  • Computational thinking
  • Computational science
  • Computational pedagogy
  • Computer-based teaching and learning
  • STEAM
  • STEAM(M)edical
  • Serious games and game-based learning
  • Quantum computing and STEM
  • Physical computing and sensors
  • Embedded system in education
  • Educational robotics
  • Digital twins
  • Digital tools and innovation
  • Digital problem-solving environments
  • Artificial intelligence (AI) in education
  • Machine learning (ML) in education
  • Internet of Things (IoT) and 5G in education
  • Remote lab technologies
  • Online learning platforms and technologies
  • Case studies and policies
  • Contemporary didactic approaches and advanced systems

Prof. Dr. Sarantos Psycharis
Dr. Konstantinos Kalovrektis
Dr. Apostolis Xenakis
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 System Innovation 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 1400 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

  • physical computing
  • educational technologies
  • educational robotics
  • learning machines
  • STEAM

Published Papers (1 paper)

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Research

12 pages, 541 KiB  
Article
Elevating Academic Advising: Natural Language Processing of Student Reviews
by Omiros Iatrellis, Nicholas Samaras, Konstantinos Kokkinos and Apostolis Xenakis
Appl. Syst. Innov. 2024, 7(1), 12; https://doi.org/10.3390/asi7010012 - 31 Jan 2024
Viewed by 1420
Abstract
Academic advising is often pivotal in shaping students’ educational experiences and choices. This study leverages natural language processing to quantitatively evaluate reviews of academic advisors, aiming to provide actionable insights on key feedback phrases and demographic factors for enhancing advising services. This analysis [...] Read more.
Academic advising is often pivotal in shaping students’ educational experiences and choices. This study leverages natural language processing to quantitatively evaluate reviews of academic advisors, aiming to provide actionable insights on key feedback phrases and demographic factors for enhancing advising services. This analysis encompassed a comprehensive evaluation of 1151 reviews of undergraduate students for academic advisors, which were collected within a European University alliance consisting of five universities, offering a diverse pool of feedback from a wide range of academic interactions. Employing sentiment analysis powered by artificial intelligence, we computed compound sentiment scores for each academic advisor’s reviews. Subsequently, statistical analyses were conducted to provide insights into how demographic factors may or may not influence students’ sentiment and evaluations of academic advisory services. The results indicated that advisor’s gender had no substantial influence on the sentiment of the reviews. On the contrary, the academic advisors’ age showed a notable impact, with younger advisors surprisingly receiving more favorable evaluations. Word frequency analyses, both for positive and negative expressions, were also performed to contextualize the language used in describing academic advisors. The prevalent word combinations in reviews of highly rated academic advisors emphasized attributes like empathy, approachability, and effectiveness in guiding students towards achieving their academic goals. Conversely, advisors with less favorable reviews were often perceived as inadequate in addressing students’ concerns related to their academic journey, revealing persistent challenges in the student–advisor interaction that impacted their evaluation. This analysis of academic advisor reviews contributes to the body of literature by highlighting the significance of managing student expectations and enhancing advisor skills and qualities to foster positive interactions and academic success. Full article
(This article belongs to the Special Issue Advanced Technologies and Methodologies in Education 4.0)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Enhanced and Combined Visualizations in Extended Reality through Creative Industries
Author: Anastasovitis
Highlights: - CT scans be repurposed and reused for widespread use by the general public - Heterogeneous representations can be combined in a wide spectrum of disciplines - Advanced artifact representation via creative industries and immersive technologies - Digital tool for multimodal and interactive visualization through extended reality

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