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10th International Congress on Information and Communication Technology in concurrent with ICT Excellence Awards (ICICT 2025) will be held at London, United Kingdom | February 18 - 21 2025.
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Type: Virtual Room 9D clear filter
Thursday, February 20
 

11:43am GMT

Opening Remarks
Thursday February 20, 2025 11:43am - 11:45am GMT
Thursday February 20, 2025 11:43am - 11:45am GMT
Virtual Room D London, United Kingdom

11:45am GMT

Enhancing Transport Efficiency through Predictive Maintenance:A Machine Learning Approach Using NASA Turbofan Jet Engine Dataset
Thursday February 20, 2025 11:45am - 1:15pm GMT
Authors - Ansh Soni, Krish Modi, Aneri Shah, Nishant Doshi
Abstract - A successful and efficient transportation system depends on the credibility of engines and machinery. With the help of NASA Turbofan Jet Engine dataset, this paper focuses on the predictive maintenance framework to boost transport efficiency by leveraging sensor data. With the help of machine learning algorithms, we predict the Remaining Useful Life (RUL) of engine components based on training the model with appropriate algorithms that prompt scheduled services and maintenance to reduce downtime. Feature engineering techniques and predictions of RUL, Health Index(HI), and degradation score- the proposed model provides a methodology for enhancing system dependability and minimizing maintenance costs. This study provides valuable insights into current transportation setbacks.
Paper Presenters
Thursday February 20, 2025 11:45am - 1:15pm GMT
Virtual Room D London, United Kingdom

11:45am GMT

Innovative tools in nursing education: the impact of Serious Games and ChatGPT on Instructional Design
Thursday February 20, 2025 11:45am - 1:15pm GMT
Authors - Dario Lombardi
Abstract - This study investigates the impact of Serious Games (SGs) and ChatGPT on nursing education, focusing on usability, learning outcomes, engagement, skill transfer, and future usage intentions. Using a multi-phase design aligned with the ADDIE instructional model, the study explores how these tools facilitate learning through experiential and cognitive pathways. In the first phase, students designed instructional interventions using the ADDIE model, while the second phase introduced ChatGPT as an AI-driven support tool. Findings reveal that SGs promote experiential learning by enhancing clinical skills, emergency response, and procedure retention. Usability metrics were high, with 79% of participants rating interface intuitiveness positively. Conversely, ChatGPT supported cognitive scaffolding, enabling faster and more effective instructional design. Students reported a significant increase in familiarity with AI, with 68.4% moving from "low" to "medium" familiarity. Engagement and motivation were strong for both tools, with 84.2% of participants intending to continue using ChatGPT. Despite its small sample size (n=19), this study highlights the potential for hybrid models that integrate SGs and AI to improve nursing education. It calls for the incorporation of these tools into curricula, emphasizing experiential learning (SGs) and cognitive support (AI), thereby addressing both procedural and conceptual learning needs.
Paper Presenters
Thursday February 20, 2025 11:45am - 1:15pm GMT
Virtual Room D London, United Kingdom

11:45am GMT

Page Level Recognition and Reordering of Handwritten Documents: A Review
Thursday February 20, 2025 11:45am - 1:15pm GMT
Authors - Ravichandran S, R Kasturi Rangan, Manjesh R, S Karthik, T N Hemanth
Abstract - The page-level recognition and reordering of handwritten documents is important in digitizing and archiving systems. These systems focuses on solving the two problems of converting relevant parts of a handwriting document into recognizable formats for machines as well as correctly sequencing pages in order to preserve context. Building upon the state-of-the-art in Optical Character Recognition (OCR) and Document Layout Analysis (DLA), The paper suggests that these methods are effective for page-level text recognition that combines automatic reading order detection with advanced OCR modeling. This study evaluates the impact of a hybrid architecture combining Vision Transformers (ViT) for powerful feature extraction, and transformer-based Language Models (LMs) to provide context during text decoding. We then pose the task of reordering as a sorting problem and use a pairwise order-relation operator trained from annotated data to generalize to various layouts of input documents. The phenomenon under study reveals significant trends in the state-of-the-art performance on standard datasets with significant recognition accuracy gain and reordering precision. It opens up the efficient processing of handwritten documents in applications that range from preserving historical writing samples to today’s administrational scanned handwritten documents.
Paper Presenters
Thursday February 20, 2025 11:45am - 1:15pm GMT
Virtual Room D London, United Kingdom

11:45am GMT

Principal Component Analysis of ICT Adoption among Students in Developing Countries
Thursday February 20, 2025 11:45am - 1:15pm GMT
Authors - Khanyisani I Ndlovu, Timothy T Adeliyi, Alveen Singh
Abstract - Integrating Information and Communication Technology (ICT) in educational settings has become fundamental to modern pedagogy. Despite its significant contributions, ICT's adoption, integration, and usability pose challenges for school students in developing countries, particularly in Sub-Saharan Africa. This study aims to identify and analyse the diverse factors influencing the widespread adoption of ICT among students. A comprehensive systematic literature review revealed thirty-eight factors from eighty-four articles that either facilitate or hinder ICT integration in students' academic activities. Using Principal Component Analysis (PCA) a statistical method known for reducing dimensionality and uncovering patterns in complex datasets. The study extracts the most critical factors impacting ICT adoption. The findings indicate that in addition to over-digitalization, cognitive barriers, health issues, time constraints, funding limitations, and a lack of modern software are significant factors affecting students' engagement with technology. The implications of this study are relevant to policymakers, educators, and academic institutions, providing a data-driven basis for strategies aimed at improving ICT adoption
Paper Presenters
avatar for Khanyisani I Ndlovu
Thursday February 20, 2025 11:45am - 1:15pm GMT
Virtual Room D London, United Kingdom

11:45am GMT

Professionalism of Expert Staff in the Indonesian House of Representatives (DPR RI) from a Public Policy Perspective
Thursday February 20, 2025 11:45am - 1:15pm GMT
Authors - Pesta Evaria Simbolon, Himsar Silaban, Khasan Effendi, T. Herry Racmatsyah
Abstract - Currently, the professionalism of expert staff at the House of Representatives (DPR RI) is influenced by various interconnected factors such as work management, coordination, compensation, qualifications, and competence. This study aims to identify the key factors affecting the professionalism of expert staff at DPR RI and provide recommendations to improve their performance. A qualitative research method was employed using thematic analysis, grounded theory, and triangulation through NVIVO 14 to analyze interview data and relevant documents. The results indicate that work management and coordination, competitive compensation, staff qualifications and competencies, rigorous recruitment and selection processes, and objective performance evaluations are the primary factors influencing professionalism. Furthermore, professional development and clear career paths enhance staff loyalty and performance, while benchmarking against industry standards offers insights into best practices that can be adopted. Addressing challenges and barriers in the workplace and ensuring a clear organizational structure help define roles and responsibilities. High-quality support from expert staff and satisfaction with compensation has a direct impact on the effectiveness of DPR RI. Thus, DPR RI must focus on and improve these factors to ensure the optimal efficiency and effectiveness of expert staff, ultimately supporting the overall performance and effectiveness of DPR RI.
Paper Presenters
Thursday February 20, 2025 11:45am - 1:15pm GMT
Virtual Room D London, United Kingdom

11:45am GMT

Supporting Internships of Pre-Service Teachers by Digital Platform
Thursday February 20, 2025 11:45am - 1:15pm GMT
Authors - Ilnar Yarullin, Ramis Nasibullov, Almaz Galimov, Shamil Sheymardanov
Abstract - This paper is important because it highlights the need to improve how we help students with their internships. This need arises from higher expectations for the quality of training future teachers receive and the limitations of traditional methods of internship support. The article explains the idea and functioning of a digital platform designed to assist students with their internships. The aim of this platform is to improve the quality of their professional training by enhancing communication among everyone involved in the educational process. The software described provides options for creating flexible schedules that consider different types of internships, such as in-person, remote, and hybrid. This flexibility is especially important when working with various groups of students. In addition to assigning mentors and supervisors, both teachers and students can outline the goals and objectives of the internship. This helps to avoid misunderstandings and ensures that everyone is clear about what needs to be accomplished at each stage of the internship. The platform is connected to the university's corporate system, teaching websites, and electronic publications. As a result, teachers, students, and administrators can share information more easily.
Paper Presenters
avatar for Shamil Sheymardanov

Shamil Sheymardanov

Russian Federation
Thursday February 20, 2025 11:45am - 1:15pm GMT
Virtual Room D London, United Kingdom

1:15pm GMT

Session Chair Remarks
Thursday February 20, 2025 1:15pm - 1:17pm GMT
Thursday February 20, 2025 1:15pm - 1:17pm GMT
Virtual Room D London, United Kingdom

1:17pm GMT

Closing Remarks
Thursday February 20, 2025 1:17pm - 1:20pm GMT
Thursday February 20, 2025 1:17pm - 1:20pm GMT
Virtual Room D London, United Kingdom
 

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