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检索条件"丛书名=Lecture Notes in Networks and Systems"

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Architectural Wireless networks Solutions and Security Issues 1st ed. 2021

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丛书名： lecture notes in networks and systems

2021年

作者： Santosh Kumar Das Sourav Samanta Nilanjan Dey Bharat S. Patel Aboul Ella Hassanien

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Challenges and Approaches to the Artificial Intelligence in Education 27th

Challenges and Approaches to the Artificial Intelligence in ...

引用

27th International Conference on Interactive Collaborative Learning-ICL

作者： Zeleneva, Iryna Parkhomenko, Anzhelika Subbotin, Sergey Tabunshchyk, Galyna Holub, Tetiana Kulykovskyi, Ruslan Selivanov, Maksym Natl Univ Zaporizhzhia Polytech Zhukovskogo Str 64 UA-69063 Zaporizhzhia Ukraine

ISBN: (纸本)9783031856518;9783031856525

The intensive development of artificial intelligence (AI) and its implementation in various areas of our lives cannot ignore the aspect of higher education. The problem has become so urgent and this is demonstrated by the European Parliament's recent adoption of a basic set of rules governing AI. In this regard, many researchers are paying attention to finding a balance between the opportunities and risks associated with the use of artificial intelligence tools (AIT). The topic of the work is relevant and is devoted to the analysis of the current state, as well as consideration of practical aspects of an educational process using AIT. The paper presents the results of the development of disciplines aimed at students studying AI methods and tools. Examples of the use of generative AIT in several academic disciplines for bachelor's and master's degrees are also shown. A questionnaire was developed and a survey of students was conducted, which made it possible to identify priority areas and formulate recommendations for the use of AIT in the educational process.

关键词： Generative Artificial Intelligence Artificial Intelligence Tools Intelligent Chat Bot

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Variable Training of IT Engineers for Software Development 27th

Variable Training of IT Engineers for Software Development

引用

27th International Conference on Interactive Collaborative Learning-ICL

作者： Kirilova, Galia I. Khasanova, Gulnara F. Shorina, Tatyana V. Yimin, Chen Yangxingyue, Guo Kazan Volga Reg Fed Univ Kazan Russia Kazan Natl Res Technol Univ Kazan Russia Kazan State Power Engn Univ Kazan Russia

ISBN: (纸本)9783031856518;9783031856525

The paper is devoted to comparing the effectiveness of variable methods for training future IT specialists, based on identifying the initial level of proficiency in SQL and HTML programming languages. An experiment was conducted with the participation of second-year students of the Kazan State Energy University (N = 200). The experiment tested two options for completing tasks, combining experience in web programming and experience working with databases. Students were given the opportunity to begin doing their work in a known way, obtain a positive result sufficient for a positive self-assessment, and then develop their knowledge and experience in accordance with the requirements of the curriculum. The study demonstrated the effectiveness of conducting an entry survey to identify the initial level of programming languages proficiency. Changes made to the content and process of training future IT specialists based on data obtained from surveys made it possible to eliminate gaps in IT competencies.

关键词： Contents of IT specialists training SQL and HTML programming languages proximal development zone of students

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Emotional Intelligence in Business: Intergenerational Study 27th

Emotional Intelligence in Business: Intergenerational Study

引用

27th International Conference on Interactive Collaborative Learning-ICL

作者： Fedorova, Yuliia Mikus, Juraj Pilkova, Anna Holienka, Marian Korniush, Hanna Comenius Univ Bratislava Slovakia Ukrainian Engn Pedag Acad Kharkiv Ukraine

ISBN: (纸本)9783031856518;9783031856525

The exploration of Emotional Intelligence (EI) within the business milieu is a promising direction, which is evidenced by the increase in the number of publications about EI within the Management category in the WoS scientometric database in recent years. This focus stems from the positive correlation between employee EI and companies' financial performance. This article explores how EI manifests across different generations (Baby Boomers, Generation X, Generation Y, and Generation Z) in the business world. Our research is grounded in the methodological framework of the 4-component instrumental model of EI in Business, known as the 4EI Model. This model laid the foundation for a specially designed "EI in Business" questionnaire. This questionnaire measures four key aspects of EI crucial for business professionals: self-awareness, self-management, social awareness, and relationship management. Administered via Google Forms in Ukraine and Slovakia, the questionnaire facilitated the creation of average EI profiles for each age group. By analyzing these profiles, it is possible to identify the strengths and weaknesses of different generations in terms of their EI. This study demonstrates the practical application of EI measurement in a business context across generations. It contributes to the existing research on intergenerational characteristics in the workplace and offers valuable insights for building effective intergenerational teams.

关键词： Emotional Intelligence in Business Generations Emotional Intelligence Profile

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Artificial Intelligence and Speech Recognition: Pedagogical Applications in Science, Technology, Engineering and Mathematics Education 27th

Artificial Intelligence and Speech Recognition: Pedagogical ...

引用

27th International Conference on Interactive Collaborative Learning-ICL

作者： Absi, Fatma Tangour Rafik Almousa, Mohanad El Abbassi, Ikram ECAM EPMI F-95092 Cergy France

ISBN: (纸本)9783031856518;9783031856525

This paper shows the role of AI in speech and voice recognition in STEM education and pedagogical practices. At the beginning of the paper, aspects of speech recognition techniques are presented in order to simplify the understanding of these types of techniques for educators. Next, a state of the art on the best speech recognition software is given so that educators have a general idea of everything that is software. The ethical aspect of AI and speech is demonstrated. Then, several examples on the application of AI to speech are described and several real applications are shown such as: ChatGPT, the disadvantages and advantages of these in teaching and education are demonstrated. In another part of this paper, the five major AI tasks in correlation with speech will have a broad idea of these five major tasks and how they relate to speech recognition. Finally, case studies are presented in the last part of the document.

关键词： Artificial Intelligence Speech recognition Pedagogy Education

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Trialogical Learning and Academia-Industry Partnerships in 'Sensors for Medical Instrumentation and Signal Processing' Curricular Unit of the ManagiDiTH Master's Program 27th

Trialogical Learning and Academia-Industry Partnerships in '...

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27th International Conference on Interactive Collaborative Learning-ICL

作者： Rajamaki, Jyri Postolache, Octavian Adrian Laurea Univ Appl Sci Espoo Finland ISCTE Lisbon Portugal

ISBN: (纸本)9783031856518;9783031856525

Healthcare institutions and service designers must adapt to rapid technological changes and leverage digitalization, especially highlighted by the COVID-19 crisis. The Managing Digital Transformation in the Health Sector (ManagiDiTH) project was created to develop a Master's program aimed at equipping the health sector with specialized digital skills. This program is co-created through international collaboration among universities, industry experts, and healthcare organizations. Effective digital training must combine transversal, sectorial, service design, and technological learning, necessitating interdisciplinary approaches in higher education. Higher education institutions are pivotal in creating new knowledge and innovations, making trialogical learning essential for biomedical and health informatics programs. The ManagiDiTH Master's program draws on expertise from partner institutions in Finland, Greece, and Portugal. It aims to: (i) Develop training references for the European Qualifications Framework. (ii) Implement a trialogical pedagogical model with problem-based learning. (iii) Create an interdisciplinary learning ecosystem with a quadruple helix model. (iv) Upskill graduates from various relevant backgrounds. This paper uses the 'Sensors for Medical Instrumentation and Signal Processing' unit as a case study to examine and improve the program. The unit addresses the growing impact of IoT in healthcare, aiming to produce professionals skilled in managing and processing data securely.

关键词： Trialogical learning Academia-industry collaboration Interdisciplinary understanding in higher education Sensors for medical instrumentation Internet of Medical Things

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Engineering Education: A CAN Bus Training System for Students 27th

Engineering Education: A CAN Bus Training System for Student...

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27th International Conference on Interactive Collaborative Learning-ICL

作者： Egarter, C. Madritsch, C. Carinthia Univ Appl Sci Villach Austria

ISBN: (纸本)9783031856518;9783031856525

This paper introduces a newly developed compact CAN bus training system, to bridge the gap between theoretical knowledge and practical application in engineering education. The system incorporates a real BMW e46 instrument cluster into a tabletop training device, facilitating direct interaction with CAN bus technology. Through a two-phase development process involving literature review and practical adaptation, the system was designed to enhance student engagement and understanding by providing hands-on experience with traditional software like Vector CANoe. Preliminary classroom evaluations indicate a marked improvement in students' comprehension and interest. This approach demonstrates that real-world applications can significantly enhance learning outcomes compared to simulations. Future research will explore the long-term effects of this hands-on educational method on knowledge retention.

关键词： CAN Case-study Engineering Education

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Creating a Postcard Puzzle for Educational Purposes in Junior High School Science 27th

Creating a Postcard Puzzle for Educational Purposes in Junio...

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27th International Conference on Interactive Collaborative Learning-ICL

作者： Bessas, Nikos Tzanaki, Eleni Vavougios, Denis Plagianakos, Vassilis P. Univ Thessaly Dept Comp Sci & Biomed Informat Lamia Greece Univ Thessaly Dept Phys Lamia Greece

ISBN: (纸本)9783031856518;9783031856525

Currently, students seem to be losing their desire for knowledge and learning, particularly in science. This trend of declining interest has intensified, especially since the COVID-19 pandemic, resulting in a drop in performance. In response, teachers are looking for creative and innovative ways to regain students' attention and interest. One proposed approach is the integration of play into the learning process. Therefore, the purpose of this study is to create a postcard puzzle, an alternative to the well-known escape rooms, with the help of Generative AI and integrate it into a science course. By doing so, the teacher aims to spark students' interest and capture their attention, ultimately improving their performance. The goal is to develop an interactive teaching method where students are actively involved through participation in educational games. This process encourages engagement and collaboration among students, thus providing a more enjoyable and hands-on learning experience.

关键词： Artificial Intelligence Postcard Puzzle Teaching Science Junior High School

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Comparative Studies of Various E-learning Teaching Methodologies in Civil Engineering Courses 27th

Comparative Studies of Various E-learning Teaching Methodolo...

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27th International Conference on Interactive Collaborative Learning-ICL

作者： Puust, Raido Tallinn Univ Technol Ehitajate Tee 5 EE-19086 Tallinn Estonia

ISBN: (纸本)9783031856518;9783031856525

The way we learn new skills is constantly evolving, which is partly caused by the technology in our hands. Shift towards on-demand learning like "learn when I need it", "learn when I can", "learn by doing" or "learn when I have time to focus" has been possible by enabling flexible study environments. Our focus to learn is greatly affected by the abundance of information that has been made available through different sources. The lecturer has played a key role in selecting the required information and teaching a particular skill as defined by a learning outcome. However, to accommodate the technological aspect, the change in ways we used to learn causes the need for a change in teaching delivery as well. By offering full e-learning courses ("learning when I can"), which are built up as project-based learning ("learn by doing") we can fill up some of the gaps with the danger of introducing new ones. In this research we look at the evolvement of various, full e-learning Moodle courses made for engineering students and conducted throughout several years for different study groups (study program, gender, mandatory/optional course, group size). In addition, the use of e-learning is looked at from the COVID-19 perspective (including preceding and following periods). Comparative studies are carried out to show the importance (or necessity) of selected teaching methodology component(s) and how it helps (or demotivates) to support the learning process in a flipped, virtual classroom but also how it may affect the efficiency of teaching itself.

关键词： Flipped Classroom Project-based Learning E-learning

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Analysing User Engagement in e-Learning Platforms: A Machine Learning Approach to Web Analytics 27th

Analysing User Engagement in e-Learning Platforms: A Machine...

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27th International Conference on Interactive Collaborative Learning-ICL

作者： Christina, Gouvatsou Pantazatos, Dimitris Grammatikou, Mary Maglaris, Vasilis Stefaneas, Petros Natl Tech Univ Athens Sch Appl Math & Phys Sci Athens 15780 Greece Natl Tech Univ Athens Sch Elect & Comp Engn Athens 15780 Greece

ISBN: (纸本)9783031856518;9783031856525

The scope of this paper is to analyze the web analytics of a Next Generation Digital Learning Environment (NGDLE), which was part of a European initiative, specifically focusing on how platform engagement was affected by the COVID-19 pandemic waves and the mandatory e-schooling in Europe. Emphasis was given to the Bounce Rate (%) variable, a metric to estimate the platform's effectiveness in retaining its users. This was achieved by applying a classification problem, comparing different machine learning models, and identifying the most contributing features. The study revealed patterns in the data, providing an overview of user engagement in the e-service while unfolding the complex relationships among the features and the need for robust analysis. Finally, it highlighted features contributing to the target variable Bounce Rate (%) that could be further explored to enhance the VLE.

关键词： Machine Learning Web Analytics e-Learning Feature Importance

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