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The Implementation of Natural Language Processing on Chatbot as Academic Information System: A Case Study of IC2IE 2024 7

The Implementation of Natural Language Processing on Chatbot...

引用

7th International Conference of computer and informatics engineering, IC2IE 2024

作者： Purba, Christian Nataniel Yosua Parulian, Pratama Varian Andika Iswara, Ratna Widya Suhandana, Ariawan Andi Sari, Risna Politeknik Negeri Jakarta Department of Computer and Informatics Engineering Depok Indonesia

ISBN: (纸本)9798331505530

The implementation of Natural Language Processing (NLP) in chatbots has significantly enhanced the efficiency and user experience of academic information systems. This paper presents a case study of the International Conference on Computing, Communication, and Information engineering (IC2IE) 2024, exploring how NLP-driven chatbot can serve as a robust academic information system. By employing advanced NLP techniques, the chatbot effectively understands and processes user inquiries, providing accurate and timely information about the conference schedules, speakers, submission guidelines, etc. Accuracy testing demonstrated an overall performance of 84.533%, with perfect accuracy in the 0.75-1.0 similarity range and 96.15% accuracy in the 0.5-0.74 range. The findings suggest that integrating NLP in academic information systems can streamline operations and enhance communication within academic events. © 2024 IEEE.

关键词： Information use

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Exploring Teachers’ Attitudes and Self-efficacy Towards AI Learning in Science Instruction 4th

Exploring Teachers’ Attitudes and Self-efficacy Towards AI ...

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4th International Conference on Novel and Intelligent Digital Systems, NiDS 2024

作者： Stryftoy, Stavroula Krouska, Akrivi Troussas, Christos Mylonas, Phivos Sgouropoulou, Cleo Department of Informatics and Computer Engineering University of West Attica Egaleo Greece

ISBN: (纸本)9783031733437

As teachers strive to adapt to the technologically evolving landscape of education, understanding the impact of Artificial Intelligence (AI) on pedagogical practices becomes increasingly crucial. This study explores the contribution of Artificial Intelligent Learning (AI Learning) model to teachers’ attitudes and self-efficacy in teaching science. As such, an educational intervention based on AI Learning was conducted with a sample of 13 primary school teachers. The teachers were asked to answer a Dimensions of Attitude toward Science (DAS) questionnaire designed for this study, before and after the intervention. Before the intervention, a significant percentage of teachers expressed disagreement about the importance of physics in primary education (53.8%) and had a negative attitude towards its introduction (46.2%). However, after the intervention, there was a substantial shift towards positive attitudes: 38.5% acknowledged the importance of physics and 38.5% expressed a positive intention towards its introduction. The intervention also positively impacted teachers’ anxiety levels, enjoyment of teaching physics, and perceptions of their knowledge adequacy to support students. Additionally, there was a noticeable positive change in teachers’ perceptions of their preparedness to provide help to students. The improvement of DAS score (mean 68.15 before intervention/mean 89.15 after intervention) indicates that the intervention led to a more positive attitude among teachers regarding the use of AI learning in teaching science. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Contrastive Learning

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Enhancing Collaborative Learning through Virtual Escape Rooms: Impact on Participants' Perceptions 19

Enhancing Collaborative Learning through Virtual Escape Room...

引用

19th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2024

作者： Krouska, Akrivi Troussas, Christos Karkazis, Panagiotis Mylonas, Phivos Sgouropoulou, Cleo University of West Attica Department of Informatics and Computer Engineering Egaleo Greece

ISBN: (纸本)9798331504502

Digital revolution has transformed education, allowing students to interact, communicate, and collaborate beyond traditional classroom settings. computer-Supported Collaborative Learning (CSCL) provides opportunities for teamwork and knowledge sharing regardless of geographic location. Recently, Virtual Reality (VR) has emerged as a promising tool to address these challenges, offering immersive, three-dimensional environments that enhance collaborative learning experiences. Collaborative Virtual Environments (CVEs) extend VR's potential by enabling users to interact and work together in shared virtual spaces. Moreover, virtual escape rooms have gained traction as an innovative approach to game-based learning, combining the benefits of collaboration, problem-solving, and engagement to create an immersive and interactive educational experience. In view of the above, this paper explores the innovative use of virtual reality (VR) and educational digital escape room games as tools to promote collaborative learning in synchronous distance education and lifelong learning. By designing a cooperative game-based learning environment, the study seeks to leverage the problem-solving and teamwork skills inherent in such games to enhance the learning experience. The impact of these technologies on participants' perceptions was assessed comparing the information emerged from two surveys conducted before and after the intervention. The findings show that the incorporation of virtual escape room into collaborative learning environments effects positively participants' perceptions. © 2024 IEEE.

关键词： Virtual environments

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Virtual Reality in Classrooms: Addressing Ethical Challenges in Educational Technology 4th

Virtual Reality in Classrooms: Addressing Ethical Challenges...

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4th International Conference on Novel and Intelligent Digital Systems, NiDS 2024

作者： Marougkas, Andreas Troussas, Christos Krouska, Akrivi Sgouropoulou, Cleo Voyiatzis, Ioannis Department of Informatics and Computer Engineering University of West Attica Egaleo Greece

ISBN: (纸本)9783031733437

As Virtual Reality (VR) is on the rise in popularity in learning contexts, the corresponding ethical challenges of its use increase in complexity and importance. This theoretical paper discusses the ethical consequences posed by VR use in education, with a special focus on the perspectives of privacy, data security, and psychological consequences on students. The paper will identify resulting risks and suggest necessary guidelines for educators and developers. The paper discusses how to balance innovative educational benefits with the need to protect student welfare, to promote an ethical approach to the use of VR technology in the classroom setting. This paper contributes to the ongoing debate about the responsible use of new technologies in educational settings and presents policy priorities that seek to protect student rights and welfare. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Virtual environments

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An Ethereum Based e-Voting System 16th

An Ethereum Based e-Voting System

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16th EAI International Conference on Wireless Internet, WiCON 2023

作者： Spanos, Achilleas Kantzavelou, Ioanna Department of Informatics and Computer Engineering University of West Attica Athens Greece

ISBN: (纸本)9783031580529

Developing an electronic voting system that would replace the old, traditional electing procedures has been a concern of many researchers for years. Blockchain technology could provide some guarantees for voting platforms, such as transparency, immutability, and confidentiality. In most research works, secure and reliable electronic voting systems are required to address known security, anonymity, and fraud issues. This paper presents a secure decentralized electronic voting system, named the EtherVote, which is based on the Ethereum Blockchain network focusing on eligible citizens’ identification. The EtherVote is a serverless e-voting model, thus improving security, privacy, and election costs. An effective method for voter registration and identification to enhance security is proposed. Among the main properties the EtherVote holds are storing encrypted votes, efficiency in handling elections with numerous participants, and simplicity. The system is tested and evaluated, vulnerabilities and possible attacks are exposed, and a discussion examines opportunities for enhancing the proposed e-voting system. © ICST Institute for computer Sciences, Social informatics and Telecommunications engineering 2024.

关键词： Smart contract

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Utilizing Fuzzy Weights for Enhanced User Experience in Virtual Museums 19

Utilizing Fuzzy Weights for Enhanced User Experience in Virt...

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19th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2024

作者： Papakostas, Christos Troussas, Christos Krouska, Akrivi Mylonas, Phivos Sgouropoulou, Cleo University of West Attica Department of Informatics and Computer Engineering Egaleo Greece

ISBN: (纸本)9798331504502

In the digital age, the existence and experience of art, history, and culture change worldwide, and the rise of virtual museums ensures that the boundaries are eliminated and interactions with the population diversities are improved for education and culture preservation. This paper analyzes fuzzy weights for personalizing user experiences in virtual museums. Fuzzy weights propose recommendations and subtle content adaptation from user preferences and behaviors to enhance further engagement in the content exposed. Based on a case study of VirtuMuse, we have developed a model to calculate fuzzy weights from user interactions, which are integrated into content management and recommendation systems. User engagement was high, personalization effective and the users were satisfied based on forty university students' evaluation. In conclusion, these findings underscore its effectiveness in matching contents according to individual users' preferences, thereby enhancing their overall experience. Such research highlights the potential for virtual museums to act as preservers of digital cultural heritage and providers of personalized immersive educational experiences. © 2024 IEEE.

关键词： Virtual environments

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Development of a Machine Learning Model for Production Facility Predictive Diagnostics

Development of a Machine Learning Model for Production Facil...

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2024 International Conference on Industrial engineering, Applications and Manufacturing, ICIEAM 2024

作者： Vorsin, Daniil Toichkin, Nikolay Murmansk Arctic University Department Of Informatics And Computer Engineering Apatity Russia

ISBN: (纸本)9798350395013

The usage of artificial intelligence in problems related to industry makes it possible to develop optimization, predictive digital models for their operation in real time. The developed model can conduct predictive diagnostics of equipment's, or can be employed as a system that offers recommendations to the user for subsequent optimization of the technological process Considering the growing complexity of technical equipment and their control systems, it becomes highly imperative to develop an intelligent diagnostic structure for safety management in multi-level industrial systems. The article's relevance stems from the implementation of machine learning algorithms in the industry, enabling the analysis of a considerable amount of sensor-derived data. As a result, this facilitates predictive equipment diagnostics, anomaly prediction, intelligent safety management, uninterrupted operations, and reduced maintenance downtime. © 2024 IEEE.

关键词： Recurrent neural networks

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Assessing the Impact of Integrating ChatGPT as an Advice Generator in Educational Software 9

Assessing the Impact of Integrating ChatGPT as an Advice Gen...

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9th South-East Europe Design Automation, computer engineering, computer Networks and Social Media Conference, SEEDA-CECNSM 2024

作者： Troussas, Christos Krouska, Akrivi Papakostas, Christos Mylonas, Phivos Sgouropoulou, Cleo University of West Attica Department of Informatics and Computer Engineering Egaleo Greece

ISBN: (纸本)9798350342482

This paper reports on the study of the integration of ChatGPT as an advice generator in custom educational software developed for Java programming. The software, in cooperation with ChatGPT API, pursues providing real-time, context-specific advice to students for better learning. This work adopted a two-fold evaluation approach to evaluating this integration. First, this study examines the effectiveness of this integration with the help of the Interrupted Time Series Analysis methodology to measure possible improvement in the performance metrics of the students in terms of error rates and task completion times. Second, this work presents a custom-designed questionnaire used to get student perceptions regarding the clarity, usefulness, and impact of ChatGPT's advice, and the level of student satisfaction with the user interface. The key takeaways from this research study are the substantial improvements in performance metrics that were noted quantitatively, with students achieving lower error rates and faster completion times after the intervention of ChatGPT. Qualitatively, learners express their satisfaction with the clarity of advice, which gives them an understanding that works on their learning and confidence in Java programming. These findings point toward the promise of integrating such advanced AI solutions in educational software toward a significant improvement in learning outcomes and the necessity of human-aided continuous user feedback for system refinement. © 2024 IEEE.

关键词： Contrastive Learning

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Enhancing Interaction with Data Lakes Using Digital Twins and Semantic Blueprints 19

Enhancing Interaction with Data Lakes Using Digital Twins an...

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19th International Conference on Evaluation of Novel Approaches to Software engineering, ENASE 2024

作者： Loizou, Spyros Pingos, Michalis Andreou, Andreas S. Department of Computer Engineering and Informatics Cyprus University of Technology Limassol Cyprus

ISBN: (纸本)9789897586965

Advanced analytical techniques and sophisticated decision-making strategies are imperative for handling extensive volumes of data. As the quantity, diversity, and speed of data increase, there is a growing lack of confidence in the analytics process and resulting decisions. Despite recent advancements, such as metadata mechanisms in Big Data Processing and Systems of Deep Insight, effectively managing the vast and varied data from diverse sources remains a complex and unresolved challenge. Aiming to enhance interaction with Data Lakes, this paper introduces a framework based on a specialized semantic enrichment mechanism centred around data blueprints. The proposed framework takes into account unique characteristics of the data, guiding the process of locating sources and retrieving data from Data Lakes. More importantly, it facilitates end-user interaction without the need for programming skills or database management techniques. This is performed using Digital Twin functionality which offers model-based simulations and data-driven decision support. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Lakes

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Struggling to Adapt: Exploring the Factors that Hamper the Integration of Innovative Digital Tools in Higher Education Courses 4th

Struggling to Adapt: Exploring the Factors that Hamper the I...

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4th International Conference on Novel and Intelligent Digital Systems, NiDS 2024

作者： Georgopoulou, Maria Sofia Troussas, Christos Sgouropoulou, Cleo Voyiatzis, Ioannis Department of Informatics and Computer Engineering University of West Attica Athens Greece

ISBN: (纸本)9783031733437

The pervasive impact of digital technologies has permeated all facets of our society. As technology continues to evolve rapidly, it is imperative for educators to adapt and integrate these advancements into their teaching methods. Nevertheless, educators face challenges in keeping pace with technological advancements for educational purposes. This study revolved around three key objectives: mapping the intricate landscape of digital inclusion in higher education, particularly within a department of informatics;exploring teaching practices that enrich and facilitate the overall educational experience;and defining the challenges that faculty members encounter. This distinctive focus represented an innovative approach, shedding light on the underlying concerns within academia regarding obstacles to incorporating digital tools into university courses. The participants in the study were faculty members and undergraduate students from the Department of informatics at a Greek university. Data was collected through two distinct questionnaires. A major conclusion of this study is that the types of digital tools faculty prefer are closely related to (a) challenges faced by higher education institutions, such as infrastructure and funding, and (b) their own perceptions and interpretations of their involvement with technology-driven strategies in the classroom. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Educational technology

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