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检索条件"任意字段=International Conference on Teaching and Learning in Computing and Engineering"

共 107018 条记录，以下是51-60 订阅

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Building a novel AI framework for teachers and authors to create effective learning contents

Building a novel AI framework for teachers and authors to cr...

引用

international conference on Artificial Intelligence, Blockchain, computing and Security, ICABCS 2023

作者： Yugal, Lisha Kaswan, Suresh Bhatia, B.S. Department of Computer Science & Engineering RIMT University Punjab India Sharda University Uzbekistan RIMT University Punjab India

ISBN: (纸本)9781032669663

Effective learning Contents plays a vital role in the effective teaching and learning Process. Therefore, keeping this in view research efforts have been made to design and develop a framework that will assist in development of learning Content in an effective user-friendly Way. The development of learning content considering cognitive psychology is a challenge being faced by teachers and authors. Considering the Issue An objective designing tool has been developed for arranging course objectives as per cognitive task analysis using the Bloom’s Hierarchy. The Tool assists in the overall teaching learning process by considering Knowledge level and age groups of target audience. The tool allows teachers and authors to enter course objective and as per the action verbs the Objective are accepted and arranged as per their Cognition level. Further the Accepted Objectives are prompted one by one and thus allows teachers and authors to develop the learning Contents. © 2024, CRC Press/Balkema. All rights reserved.

关键词： learning systems

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An Intensive Review and Assessment of Impacts of AI in the Field of teaching(Edu) 4

An Intensive Review and Assessment of Impacts of AI in the F...

引用

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

作者： Mukhammadsidiqov, Mukhammadolim Akmalov, Shaislam Akhmedov, Khusniddin International Islamic Academy of Uzbekistan Department of International Relations and Social Sciences Tashkent Uzbekistan

ISBN: (纸本)9798350360165

The deployment of Artificial Intelligence (AI) has been huge in the recent past years, and potentially, the changes might be very high in all areas of higher education. This paper undertakes an attempt to explore the multifaceted impacts of AI on the scope of teaching and learning in higher education, aiming at reaching a comprehensive view of potential implications. Rapid development at present of AI technologies and their penetration into various social spheres make it increasingly important that educators, policymakers, and stakeholders clearly understand what impacts they are bringing and will bring to the educational paradigms. The use of AI in higher education covers everything from personalized learning experiences to the highest administrative efficiencies. One of the most important effects related to personalized learning is the fact that it produces AI-driven algorithms that can use, analyze, and adopt great datasets with respect to fine-tuning educational content and how the very content is delivered to the individual student. It aids in engaging the students more effectively in difficult concepts and active learning, while having further understanding on such topics that eventually increases the learning outcome. Second, with AI-empowered learning platforms, adaptive assessment techniques are possible, which provide educators a dynamic, more responsive space to measure student learning progress and provide feedback. Second, the space of research and development of education has been under the influence of AI technologies. © 2024 IEEE.

关键词： Contrastive learning

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A Longitudinal Case Study of Middle School Teachers' Concept Development of Culturally Responsive Pedagogy in teaching Computer Science 2024

A Longitudinal Case Study of Middle School Teachers' Concept...

引用

conference on Research on Equitable and Sustained Participation in engineering, computing, and Technology (RESPECT)

作者： Bausch, Gillian Ni, Lijun Thomas-Cappello, Elizabeth SUNY Albany Educ Theory & Practice Albany NY 12222 USA

ISBN: (纸本)9798400706264

This work-in-progress paper reports a case study that investigates middle school teachers' conceptual development of culturally responsive pedagogy (CRP) in teaching computer science (CS). The study includes four teachers who are participating in a five-year ongoing professional learning (PL) program named CS Pathways. The project aims to build the capacity of middle school teachers in teaching its computer science and digital literacy (CSDL) curriculum and eventually engaging culturally diverse students in creating apps for community and social good. Through the lens of conceptual change, the study will explore how teachers build their concept of CRP throughout the project by using both qualitative and quantitative data. We are seeking the answers to two research questions: 1) What are teachers' understandings of CRP before and after attending the project's PL and teaching computer science? 2) How do teachers develop their concepts of CRP for teaching CS? Findings of this study will provide a deeper understanding of different CRP conceptual development pathways that teachers experience. Findings of this study can provide insights for the design of PL programs to help teachers update and reorganize their understandings and eventually improve their CRP classroom practices in teaching CS.

关键词： Culturally responsive pedagogy Conceptual change Computer science Teacher professional learning

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Bring Your Own Device - Enabling Student-Centric learning in engineering Education by Incorporating Smartphone-Based Data Acquisition 26th

Bring Your Own Device - Enabling Student-Centric Learning in...

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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： Engelbrecht, Julia Maria Michler, Albrecht Schwarzbach, Paul Michler, Oliver TUD Dresden Univ Technol Dresden Germany

ISBN: (纸本)9783031526664;9783031526671

Digitization and networking have rapidly advanced across society and the economy, necessitating an increase in students' acquisition of theoretical and technical skills. Information and communication technology systems and technologies, along with their applications, have fundamentally changed in recent decades. Consequently, engineering didactics and education must reflect these changes. Traditional teaching approaches in fields like electrical and communication engineering involve specialized hardware and measurement technology, as well as data acquisition and statistical processing for immersive education. Remote teaching enables asynchronous learning, accommodating individual student needs. The Digital learning and teaching Fund at TU Dresden supports the deployment of digital teaching solutions. Data analysis and evaluation can be conducted using shared pre-recorded datasets. However, data acquisition remains crucial in remote learning environments. To address this, our project focuses on developing a system that utilizes off-the-shelf smartphones for sensor data collection and subsequent computer-based analysis. This approach harnesses the advanced sensor technology and open data interfaces available in modern smartphones, which has already been successfully employed in various teaching contexts, primarily in straightforward physics experiments.

关键词： Real-World experiences Project based learning (PBL) Remote and virtual laboratories

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Workplace learning Ecology of Software Engineers and Implications for teaching and learning 36

Workplace Learning Ecology of Software Engineers and Implica...

引用

36th international conference on Software engineering Education and Training (CSEE and T)

作者： Johri, Aditya Collier, Aayushi Hingle Jesiek, Brent K. Korte, Russell Brozina, Stephen Cory George Mason Univ Coll Engn & Comp Informat Sci & Technol Fairfax VA 22030 USA Montgomery Coll Linguist & Comm Studies ELAP Montgomery MD USA Purdue Univ Coll Engn Sch Engn Educ W Lafayette IN 47907 USA George Washington Univ Dept Human & Org Learning Washington DC USA Youngstown State Univ Rayen Sch Engn Youngstown OH 44555 USA

ISBN: (纸本)9798350378986;9798350378979

To prepare students for the future workforce, it is important to provide them with knowledge and guidance about professional software engineering practices. One critical element of workplace practices is learning on the job. There are few studies of how software engineers learn on the job and little focus within the literature on how this understanding can help train students. In this paper, we present a qualitative interview-based field study of workplace learning among professional software engineers. We conducted in-depth interviews with ten software engineers and analyzed the data using thematic analysis based on the learning ecologies framework. In our findings, we identify and discuss professionals' motivation and reasons for learning, the different resources they use to learn, the challenges they face in their learning, and their views on the relationship between formal education and on the job learning. We draw implications of the findings for teaching and learning, and future research.

关键词： Workplace learning field study learning ecology software engineering education

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Plagiarism and AI Assistance Misuse in Web Programming: Unfair Benefits and Characteristics

Plagiarism and AI Assistance Misuse in Web Programming: Unfa...

引用

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

作者： Karnalim, Oscar Toba, Hapnes Johan, Meliana Christianti Handoyo, Erico Darmawan Setiawan, Yehezkiel David Luwia, Josephine Alvina Maranatha Christian Univ Fac Informat Technol Bandung Indonesia

ISBN: (纸本)9781665453318

In programming education, plagiarism and misuse of artificial intelligence (AI) assistance are emerging issues. However, not many relevant studies are focused on web programming. We plan to develop automated tools to help instructors identify both misconducts. To fully understand the issues, we conducted a controlled experiment to observe the unfair benefits and the characteristics. We compared student performance in completing web programming tasks independently, with a submission to plagiarize, and with the help of AI assistance (ChatGPT). Our study shows that students who are involved in such misconducts get comparable test marks with less completion time. Plagiarized submissions are similar to the independent ones except in trivial aspects such as color and identifier names. AI-assisted submissions are more complex, making them less readable. Students believe AI assistance could be useful given proper acknowledgment of the use, although they are not convinced with readability and correctness of the solutions.

关键词： plagiarism artificial intelligence programming controlled experiment computing education

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Resource Allocation in Multi-Access Edge computing using teaching-learning Based Optimization: A Multi-Objective Approach 2

Resource Allocation in Multi-Access Edge Computing using Tea...

引用

2nd international conference on Distributed computing and Optimization Techniques, ICDCOT 2024

作者： Al-Attabi, Kassem Kumar, Sachin Naik, Ashitha V. Bhagavanthu, M. Reddy, R. Archana The Islamic University Najaf Iraq Nit Department of Electronics and Communication Engineering Karnataka Raichur India Nitte Meenakshi Institute of Technology Dept of Ece Bengaluru India Cvr College of Engineering Department of Information Technology Telangana Hyderabad India School of Computer Science and Engineering Sr University Telangana Warangal India

ISBN: (纸本)9798350382952

Efficient resource allocation in Multi-access Edge computing (MEC) plays a pivotal role in achieving high throughput, low latency, energy efficiency, and user fairness. Traditional optimization approaches often address these goals separately, leading to suboptimal solutions in dynamic environments with multifaceted user demands. This research proposes a multi-objective framework for resource allocation in MEC by leveraging the teaching-learning Based Optimization (TLBO) algorithm. The TLBO algorithm, inspired by the classroom learning process, iteratively improves a population of candidate solutions by sharing knowledge among learners and guidance from a 'teacher.' The research formulate the resource allocation problem as a multi-objective optimization problem and demonstrate how TLBO can effectively discover Pareto-optimal solutions that represent trade-offs between conflicting objectives. Experimental results on simulated MEC scenarios demonstrate the superiority of with throughput of 150 mbps the proposed approach compared to baseline strategies such as greedy of 135 mbps and weighted round robin of 142 mbps. © 2024 IEEE.

关键词： Energy efficiency

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Building an English learning Community Model Assisted by AI and VR Technologies

Building an English Learning Community Model Assisted by AI ...

引用

2024 international conference on Mechatronics and Intelligent Control, ICMIC 2024

作者： Zhu, Guangzhen Xi'an Fanyi University Shaanxi province Xi'an710105 China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

With the further promotion of information technology in universities, the continuous enrichment of online teaching resources, and the continuous standardization of online teaching management, online learning as a main learning method has been increasingly accepted by more and more people. This article selects fuzzy neural networks for modeling and constructs a network learning evaluation system based on the characteristics of network learning evaluation. The English teaching classroom based on artificial intelligence and virtual reality proposed in this article can provide scarce educational resources while improving students' learning outcomes. The experimental results show that the method proposed in this article has a higher level of acceptance among students compared to traditional teaching methods, with a 12.7% higher learning efficiency among students. It is feasible in theory and reliable in practice, and can be used as an intelligent computing model for developing network learning evaluation systems. It has good promotional value and provides a new evaluation method for network learning evaluation. © 2025 SPIE.

关键词： Federated learning

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Developing a Speech Recognition System for Educational Settings 15

Developing a Speech Recognition System for Educational Setti...

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15th international conference on Advances in computing, Control, and Telecommunication Technologies, ACT 2024

作者： Damdoo, Rina Choulwar, Shweta Nagbhidkar, Amod Yadav, Aditya Vyawahare, Pratham Shri Ramdeobaba College of Engineering and Management Nagpur India

ISBN: (纸本)9798331300579

The field of education is not an exception to the revolutionary developments brought about by the swift integration of Artificial Intelligence and Machine learning. In this work, we propose a Digital Twin to Assist teaching learning (DTATL) model, a ground-breaking method intended to automate and improve the teaching-learning process using intelligent speaker recognition, in response to the rapidly growing trend of digital learning. The main goal of our research project is to use the Support Vector Classification (SVC) model to construct a speaker recognition system. This concept is incorporated into an approachable Flask-based user interface, making it available to both instructors and students. We used the Mel-frequency Cepstral Coefficients (MFCC) for the feature extraction technique and achieved remarkable results by utilizing the enormous potential of machine learning, with speaker identification training, and testing accuracies of 95%, and 84% respectively. This study also offers deep insights into the application and impact of the DTATL in the educational sector by offering a thorough overview of its creation, results, and prospective advantages. © Grenze Scientific Society, 2024.

关键词： Adversarial machine learning

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Research on the Application of Computer Virtual Reality Technology in Korean Language teaching 2

Research on the Application of Computer Virtual Reality Tech...

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2nd IEEE international conference on Electrical engineering, Big Data and Algorithms, EEBDA 2023

作者： Yao, Wei Liaodong University Liaodong Dandong118000 China

ISBN: (纸本)9781665462532

This paper proposes a Korean multimedia teaching platform based on cloud computing. First, it analyzes the functional requirements, overall design, key technologies and advantages of cloud services in the sharing of multimedia teaching resources that should be met by the Korean multimedia teaching platform. Then this paper uses cloud computing technology to provide users with various services, and uses machine learning technology to analyze teaching data, thereby simplifying the process of course design and improving the learning efficiency of Korean majors. The implementation results of this platform in Korean teaching in colleges and universities show that the platform can improve the efficiency of resource sharing, maximize the use of excellent teaching resources, and improve Korean learning performance to a certain extent. © 2023 IEEE.

关键词： Efficiency

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