Feature Papers in the ‘Applied Systems on Educational Innovations and Emerging Technologies’ Section

A special issue of Applied System Innovation (ISSN 2571-5577). This special issue belongs to the section "Applied Systems on Educational Innovations and Emerging Technologies".

Deadline for manuscript submissions: closed (30 September 2025) | Viewed by 3636

Special Issue Editor

Special Issue Information

Dear Colleagues,

In recent years, educational teaching has undergone transformative change, driven by significant innovation and the integration of emerging technologies. The rapid development of artificial intelligence, machine learning, augmented reality and other cutting-edge technologies has paved the way for new educational tools and platforms. This technology is being applied across a wide range of educational fields, from K–12 classrooms to higher education and professional training environments, demonstrating its versatility and potential to address a wide range of educational needs and challenges. These advances not only improve teaching methodologies but also redefine the learning experience, making it more interactive, personalized and accessible.

We are pleased to invite you to contribute to our Special Issue, “Featured Papers in the ‘Applied Systems on Educational Innovations and Emerging Technologies’ Section”. This Special Issue aims to gather insights into the impact of innovations on educational practices, the challenges faced in their implementation, and potential future developments, as well as comprehensive review papers highlighting significant advances.

To provide comprehensive coverage of the dynamic field of educational innovation and emerging technologies, we encourage submissions of a range of article types that explore various themes.

Research areas may include (but are not limited to) the following:

  • Applied Systems in emerging technologies;
  • Generative artificial intelligence systems for educational innovation;
  • Smart electromechanical system analysis and design for educational innovation;
  • Mathematical control theory and systems for educational innovation;
  • Computer-aided systems for educational innovation;
  • E-learning systems for educational innovation;
  • Engineering design methodology and optimization for educational innovation;
  • Computers and human–machine interaction in educational innovation;
  • Internet technology in educational innovation;
  • Intelligent robots for educational innovation;
  • Internet of Things (IoT) in educational innovation;
  • Machine learning in educational innovation.

We look forward to receiving your contributions

Prof. Dr. Chun-Yen Chang
Guest Editor

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 1600 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

  • applied systems in emerging technologies
  • generative artificial intelligence systems for educational innovation
  • smart electromechanical system analysis and design for educational innovation
  • mathematical control theory and systems for educational innovation
  • computer-aided systems for educational innovation
  • e-learning systems for educational innovation
  • engineering design methodology and optimization for educational innovation
  • computers and human–machine interaction in educational innovation
  • internet technology in educational innovation
  • intelligent robots for educational innovation
  • Internet of Things (IoT) in educational innovation
  • machine learning in educational innovation

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Published Papers (3 papers)

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Research

28 pages, 5293 KB  
Article
A QR-Enabled Multi-Participant Quiz System for Educational Settings with Configurable Timing
by Junjie Li, Wenyuan Bian, Yuan Diao, Tianji Zou, Xinqing Yang and Boqi Kang
Appl. Syst. Innov. 2025, 8(6), 158; https://doi.org/10.3390/asi8060158 (registering DOI) - 22 Oct 2025
Abstract
An integrated QR-based identification and multi-participant quiz system is developed for classroom and competition scenarios. It reduces the check-in latency, removes fixed buzz-in timing, and lifts hardware-imposed limits on the participant count. On the software side, a MATLAB-R2022b-based module integrates the generation and [...] Read more.
An integrated QR-based identification and multi-participant quiz system is developed for classroom and competition scenarios. It reduces the check-in latency, removes fixed buzz-in timing, and lifts hardware-imposed limits on the participant count. On the software side, a MATLAB-R2022b-based module integrates the generation and recognition of linear barcodes and QR Codes, enabling fast, accurate acquisition of contestant information while reducing the latency and error risk of manual entry. On the hardware side, control circuits for compulsory and buzz-in modules are designed and simulated in Multisim-14.3. To accommodate diverse scenarios, the team-versus-team buzz-in mode is extended to support two- or three-member teams. Functional tests demonstrate the stable display of key states—including contestant identity, buzz-in priority group ID, and response duration. Compared with typical MCU-channel-based designs, the proposed system relaxes hardware-channel constraints, decoupling the participant count from fixed input channels. It also overcomes fixed-timing limitations by supporting scenario-dependent configuration. The Participant Information Registration subsystem achieved a mean accuracy of 86.7% and a mean per-sample computation time of 14 ms. The 0–99 s configurable timing aligns with question difficulty and instructional procedures. It enhances fairness, adaptability, and usability in formative assessments and competition-based learning. Full article
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19 pages, 867 KB  
Article
Development of a Solution for Smart Home Management System Selection Based on User Needs
by Daiva Stanelytė, Birutė Rataitė, Algimantas Andriušis, Aleksas Narščius, Gintaras Kučinskas and Jelena Dikun
Appl. Syst. Innov. 2025, 8(5), 139; https://doi.org/10.3390/asi8050139 - 24 Sep 2025
Viewed by 423
Abstract
The complexity of smart home technologies and the need for personalized energy efficiency solutions highlight the importance of user-oriented decision-support tools. This study presents a Smart Home Management System (SHMS) selection solution that combines a web-based dashboard, a mobile application, and a relational [...] Read more.
The complexity of smart home technologies and the need for personalized energy efficiency solutions highlight the importance of user-oriented decision-support tools. This study presents a Smart Home Management System (SHMS) selection solution that combines a web-based dashboard, a mobile application, and a relational database. A 54-question structured questionnaire was designed to capture user requirements, and four alternatives—KNX, JUNG Home, LB Management, and eNet Smart Home—were compared using the Simple Additive Weighting (SAW) method. Evaluation criteria included installation complexity, communication technology, integration and control capabilities, and user experience. The system was implemented with Next.js, React Native, and Post-greSQL, ensuring flexibility, scalability, and secure data management. Preliminary evaluation with specialists (system integrators, architects, designers) and students confirmed the coherence of the questionnaire, the adequacy of criteria, and the clarity of recommendations. Results showed that the tool improves user engagement, reduces decision-making uncertainty, and supports the adoption of energy-efficient residential solutions. The study’s main limitation is the small test sample, which will be expanded in future large-scale validation. Planned improvements include interactive product comparisons, cost estimation, adaptive questionnaire logic, and 3D visualizations. Overall, the system bridges the gap between technical SHMS solutions and user-oriented decision-making, offering practical and academic value. Full article
12 pages, 1186 KB  
Article
An Expert Usability Evaluation of a Specialized Platform for Designing and Producing Online Educational Talking Books
by Mohamed Elsayed Ahmed and Shinobu Hasegawa
Appl. Syst. Innov. 2024, 7(5), 74; https://doi.org/10.3390/asi7050074 - 26 Aug 2024
Cited by 1 | Viewed by 1841
Abstract
Educational institutions are increasingly using audio-based learning resources and technologies nowadays, especially for students who are auditory learners and visually impaired. The ability to design and create online educational talking books with a pedagogical foundation has become essential for students studying instructional and [...] Read more.
Educational institutions are increasingly using audio-based learning resources and technologies nowadays, especially for students who are auditory learners and visually impaired. The ability to design and create online educational talking books with a pedagogical foundation has become essential for students studying instructional and information technology in the age of digital learning. With the need to enhance such skills to target students in higher educational institutions, instructional and information technology students have no specialized platform for designing and producing an online educational talking book without web programming challenges. This study suggests a new specialized, web-based platform that can assist students in developing online educational talking books. In this study, fourteen instructional technology experts evaluated the proposed platform’s usability. An online questionnaire was utilized to gather data, applying qualitative and quantitative methodologies. The results show that the proposed platform is appropriate for creating and developing an online educational talking book for the intended audience of students. Furthermore, the suggested platform’s current version had a workable design that was appropriate for helping students acquire the necessary abilities. Full article
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