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New Dimensions: The Impact of the Metaverse and AI Avatars on Social Science Education 17th

New Dimensions: The Impact of the Metaverse and AI Avatars o...

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17th international conference on Blended learning. Intelligent computing in Education (ICBL)

作者： Wong, Paulina Pui Yun Lee, Jaemin Gonzales, Wilkinson Daniel Wong Choi, Sunny Hee Sun Hwang, Haerim Shen, Daniel Jiandong Lingnan Univ Tuen Mun Hong Kong Peoples R China Chinese Univ Hong Kong Cent Ave Hong Kong Peoples R China Hong Kong Polytech Univ Hung Hom Hong Kong Peoples R China Soqqle Hong Kong Ltd Hong Kong Peoples R China

ISBN: (纸本)9789819744411;9789819744428

This study investigates the integration of the metaverse and artificial intelligence (AI) avatars in social science education, amidst global challenges that necessitate holistic approaches for cultivating critical global citizenship. Despite the promising capabilities of virtual reality (VR) for immersive learning, the effectiveness of the metaverse and the role of AI in enhancing educational experiences remain underexplored. The central question addressed is the impact of immersive learning experiences in the metaverse, including AI avatars, on students' perceptions and intentions for using this technology for social science education. Findings reveal significant student engagement with immersive learning, aligning with experiential learning theories and suggesting potential for complex topic exploration. However, the influence ofAI avatars on learning experiences suggests that students found environments with AI avatars harder to use than those without. Given the limitations, such as the small and specific participant pool and brief engagement duration, further research is warranted to understand the long-term effects of immersive learning in the metaverse and the advanced integration of AI avatars across various educational disciplines.

关键词： Metaverse in Education Immersive learning Artificial Intelligence in Education Social Science Education Experiential learning

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Using In-Memory for intelligent computing tech to Improve Deep learning models in GCC 4

Using In-Memory for intelligent Computing tech to Improve De...

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4th IEEE international conference on Advance computing and Innovative Technologies in engineering, ICACITE 2024

作者： Verma, Dikendra Kumar Abdulsada, Zainab.R. Jabbar, Qasim Abdul Alabdeli, Haider Sefeer, Ban Alwan, Ali Saad Graphic Era Hill University Department of Electronics & Communication Engineering Uttarakhand Bhimtal India National University of Science and Technology College of Technical Engineering DhiQar64001 Iraq Al-kunooze University College Medical Instrument Department Basra Iraq The Islamic University College of Technical Engineering Department of Computers Techniques Engineering Najaf Iraq Al-Farahidi University Baghdad Iraq Kut University College Business Administration Department wasit Al kut52001 Iraq

ISBN: (纸本)9798350360165

To speed up fundamental computing activities like matrix-vector multiplication, in-memory computing (IMC) executes numerical calculations utilizing physical processes like charge collecting and current summation. IMCs have a great lot of promise for memory-intensive processing applications like deep learning and machine learning, but their design and implementation are quite difficult because of nonidealities in circuits and devices. An overview of current options and research prospects for deep learning accelerators employing novel memory technologies that might be used via IMC is provided in this article. The prerequisites include device technology, computer primitives, and digital, analog, and hybrid design approaches. Finally, the primary IMC device problems and metrics are examined and compared. © 2024 IEEE.

关键词： Deep learning

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Context Aware Resource Discovery in Fog computing: Agent Approach 2

Context Aware Resource Discovery in Fog Computing: Agent App...

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2nd IEEE international conference on Advances in Information Technology, ICAIT 2024

作者： Kumbar, Basavaraj G. Bhajantri, Lokesh B. Department of Computer Science and Engineering BGMIT Mudhol VTU Karnataka Belagavi India Department of Information Science and Engineering Basaveshwar Engineering College Karnataka Bagalkote India

ISBN: (纸本)9798350383867

Fog computing offers advantages like low latency and distributed processing at the network edge. Resource discovery in heterogeneous and distributed fog nodes remain a critical research problem. While traditional approaches have been explored extensively, recent advancements in machine learning bid new prospects. This paper proposes an agent-based approach for context-aware resource discovery in fog computing that leverages machine learning. The agents autonomously discover resources while considering the context of the request and the fog networks. Machine learning techniques are employed to predict resource availability and optimize resource selection. This approach aims to improve resource utilization, reduce latency, and enhance the efficiency of fog computing networks. © 2024 IEEE.

关键词： Adversarial machine learning

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learning-by-Doing as a Method for teaching the Fundamentals of Light to Physics Educators and Students Online 26th

Learning-by-Doing as a Method for Teaching the Fundamentals ...

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26th international conference on Interactive Collaborative learning (ICL) - Towards a Hybrid, Flexible and Socially Engaged Higher Education / 52nd IGIP international conference on engineering Pedagogy

作者： Nantsou, T. P. Kapotis, E. Tombras, G. S. Natl & Kapodistrian Univ Athens Dept Phys Sect Elect Phys & Syst Athens 15784 Greece

ISBN: (纸本)9783031519789;9783031519796

Experimentation in physics and engineering is undeniably vital for improving the understanding of physical laws and engaging students in the scientific process. Following the guidelines established by the American Association of Physics Teachers, the objectives of introducing students to the physics laboratory include teaching them the art of experimentation, fostering analytical and experimental skills, developing conceptual knowledge, establishing the foundations of physics knowledge, and cultivating collaborative learning abilities. This study aims to demonstrate the implementation of a light laboratory designed for K-5 and K-6 students, as well as educators. Apart of the laboratory materials was presented to science teachers through a Massive Open Online Course (MOOC). The findings from both laboratories are evaluated based on the comprehension of fundamental laws of light by teachers and students. The educators who participated in the course implemented the experiments in their classrooms and introduced their students to the culture of experimental physics. This research suggests that the educational process of designing an online course on the topic of light can offer original experimental and educational ideas to science teachers, which can be readily tested in classrooms and shared within the broader Physics and engineering Education community. Specifically, the objective of this study was to assess the feasibility of incorporating innovative learning approaches, such as hands-on experimental teaching using the learning-by-doing method, across essential curricular areas. The students who participated in the online lab gained a deep understanding of the concepts taught in light and optics and were able to successfully apply these concepts.

关键词： STEM education Online education Remote laboratory

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Work in Progress: Course Design and E-learning-Environment for Scientific Competency Development for Bachelor's Degree Students Within the Framework of Self-determination Theory 26th

Work in Progress: Course Design and E-Learning-Environment f...

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作者： Vieten, Doerthe Reher, Alexandra Gross, Iris Bonn Rhein Sieg Univ Appl Sci D-53757 St Augustin Germany

ISBN: (纸本)9783031519789;9783031519796

We present both design and a mixed method evaluation scheme of a semester-long course for scientific literature work. Focus of this contribution lies on the implementation for an e-learning environment with a clearly structured overview as key requirement, reflecting teaching concepts used, that is designed to reduce complexity of usage. teaching concepts are derived from Self-Determination Theory and are assumed to provide learning conditions to support an optimal motivation profile by focusing on autonomy support, involvement, and structure. Demand-driven student-teacher communication is possible through hybrid communication structures. Approaches to flexibility are reflected by students' own choice of research focus. Situated in 5th semester within a bachelor curriculum, Artificial Neural Networks are used as a thematical framework which easily can be adapted to other subjects. teaching analysis poll is conducted to obtain timely feedback by students to identify helping and hindering factors for learning, followed by a questionnaire reflecting the acquisition of competences.

关键词： Scientific competency development e-learning course structure Mixed method evaluation

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8th Workshop on Software Architecture Erosion and Architectural Consistency, SAEroCon 2021, 1st international Workshop on Software Architecture and Machine learning, SAML 2021, 4th international Workshop on Context-aware, Autonomous and Smart Architecture, CASA 2021, 5th Workshop on Formal Approaches for Advanced computing Systems, FAACS 2021, 2nd international Workshop on Model-Driven engineering for Software Architecture, MDE4SA 2021 and 1st international Workshop on Mining Software Repositories for Software Architecture, MSR4SA 2021 which complemented 15th European conference on Software Architecture, ECSA 2021

8th Workshop on Software Architecture Erosion and Architectu...

引用

8th Workshop on Software Architecture Erosion and Architectural Consistency, SAEroCon 2021, 1st international Workshop on Software Architecture and Machine learning, SAML 2021, 4th international Workshop on Context-aware, Autonomous and Smart Architecture, CASA 2021, 5th Workshop on Formal Approaches for Advanced computing Systems, FAACS 2021, 2nd international Workshop on Model-Driven engineering for Software Architecture, MDE4SA 2021 and 1st international Workshop on Mining Software Repositories for Software Architecture, MSR4SA 2021 which complemented 15th European conference on Software Architecture, ECSA 2021

ISBN: (纸本)9783031151156

The proceedings contain 15 papers presendted at a virtual meeting. The special focus in this conference is on Software Architecture Erosion and Architectural Consistency. The topics include: Interactive Elicitation of Resilience Scenarios Based on Hazard Analysis Techniques;Towards an Extensible Approach for Generative Microservice Development and Deployment Using LEMMA;applying Knowledge-Driven Architecture Composition with Gabble;architectural Optimization for Confidentiality Under Structural Uncertainty;foundations and Research Agenda for Simulation of Smart Ecosystems Architectures;Blended Graphical and Textual Modelling of UML-RT State-Machines: An Industrial Experience;toward Awareness Creation of Common Challenges Women are Facing in Academia: A Study from a German Perspective;mapping Source Code to Modular Architectures Using Keywords;hierarchical Code-to-Architecture Mapping;Building the MSR Tool Kaiaulu: Design Principles and Experiences;self-adaptive Machine learning Systems: Research Challenges and Opportunities;behavioral Maps: Identifying Architectural Smells in Self-adaptive Systems at Runtime;an Architectural Approach for Enabling and Developing Cooperative Behaviour in Diverse Autonomous Robots.

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Recent Innovations of computing in Education: Emerging Collaborative Blended learning Models in India 5th

Recent Innovations of Computing in Education: Emerging Colla...

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5th international conference on Recent Innovations in computing, ICRIC 2022

作者： Pandita, Poonam Verma, Shivali Kumar, Sachin Bakshi, Ritu Aman Department of Educational Studies Central University of Jammu Jammu and Kashmir India

ISBN: (纸本)9789811998751

Technology has displayed a powerful hold in every facet of life. It has also transformed the mundane learning process into a joyful learning process. Firstly, the teaching–learning process is entirely dynamic;likewise, the methods of teaching should be renovated from time to time. Secondly, our classrooms have a heterogeneous population of students, so it is utterly impossible to teach them only through traditional ways of learning. A profuse number of teaching methods are required for teaching the students. Blended learning is one of the most significant and efficacious strategies for integrating technology into education. Blended learning involves person-to-person learning with online learning. It has multifarious advantages for the education system. The models of blended learning have changed from time to time. Earlier there was a pure offline system of teaching but with the technological advancements, educators and teachers introduced some online interventions in the teaching–learning process. Those interventions were primarily asynchronous. But the recent innovations of computing in education have put forward the new collaborative blended model of teaching–learning. The study reported here is undertaken to explore the emerging collaborative blended model of learning. Further, this paper will also reflect the role of co-teaching in the collaborative blended model of learning. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Students

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Differential Analysis of Biological Information during the learning of a Second Language and a Programming Language

Differential Analysis of Biological Information during the L...

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IEEE international conference on teaching, Assessment and learning for engineering (IEEE TALE)

作者： Umezawa, Katsuyuki Tajima, Takumi Nakazawa, Makoto Nakano, Michiko Hirasawa, Shigeichi Shonan Inst Technol Dept Informat Fujisawa Japan Shonan Inst Technol Dept Informat Sci Fujisawa Japan Jr Coll Aizu Dept Ind Informat Sci Fukushima Japan Waseda Univ Fac Educ & Integrated Arts & Sci Tokyo Japan Waseda Univ Res Inst Sci & Engn Tokyo Japan

ISBN: (纸本)9781665453318

In 2016, the "government curriculum guidelines" emphasized the importance of early introduction of English and programming education toward globalization and the internationalization of education. A considerable amount of research has been conducted on the similarities and teaching methods between second languages and programming languages. However, most of these studies are limited to evaluations by questionnaires. In this study, to clarify the difference in biometric information when learning English and programming languages, we defined similar problems for both languages and measured 18 types of biometric information. As a result, no significant difference was observed in the average values of any biometric information for similar problems between English and programming languages (for example, English reading comprehension problem and program reading comprehension problem). Therefore, we can say that there is a possibility that the know-how of English learning, which has a lot of research achievements, can be applied to programming learning.

关键词： learning analytics biological information electroencephalogram heart rate facial expression

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Distance Intelligent learning Based on Big Data Technology 16

Distance Intelligent Learning Based on Big Data Technology

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16th IEEE international conference on Computational Intelligence and Communication Networks, CICN 2024

作者： Wang, Huanan Tianjin Xiqing Open University Tianjin300380 China

ISBN: (纸本)9798331505264

The popularity of the Internet and intelligent devices has become increasingly high, and distance intelligent learning has become an increasingly popular education method. However, providing personalized learning experiences and effective teaching support remains a challenge. The article utilized big data technology to analyze student behavior and learning data, providing personalized learning recommendations and teaching assistance. By analyzing learning data, students' learning preferences, difficulties, and needs were understood, providing them with targeted learning resources and support. By applying big data technology, distance intelligent learning can better meet the personalized needs of students, and improve learning effectiveness and teaching quality. The research results of the article indicated that after using cloud computing as a distance intelligent learning method, students achieved the highest academic performance of 88 points. Distance intelligent learning based on big data technology is of great significance for improving students' learning outcomes and experiences. © 2024 IEEE.

关键词： Contrastive learning

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Inquiry-Based Education Technological Application Model in Distance learning 24

Inquiry-Based Education Technological Application Model in D...

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2024 10th international conference on Education and Training Technologies, ICETT 2024

作者： Lam, Ming Sum Shao, Jiahui Zhou, Ruizhe Yau, Peter Chunyu Wong, Dennis Clixells Hong Kong Faculty of Applied Sciences Macao Polytechnic University China School of Computing Science University of Glasgow United Kingdom

ISBN: (纸本)9798400717895

The teaching strategy has been continuously improved, and the traditional direct teaching method has gradually shifted towards student-centered learning method, which place the focus of the classroom on the student. Inquiry based learning is one of the approaches in student-centered learning, which could be divided into 5 phases: Engagement, Exploration, Explanation, Elaboration and Evaluation. Students construct their knowledge by repeating these five steps through conducting experiments, observation and making hypotheses. This paper proposed methods to combine technology with different innovative approaches at each phase in inquiry-based learning to facilitate the teaching and learning process in the lesson. © 2024 ACM.

关键词： Contrastive learning

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