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

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teaching and learning Computational Thinking through Solving Problems in Artificial Intelligence on Designing Introductory engineering and computing Courses

Teaching and Learning Computational Thinking through Solving...

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5th IEEE international conference on teaching, Assessment, and learning for engineering (TALE)

作者： Silapachote, Piyanuch Srisuphab, Ananta Mahidol Univ Fac Informat & Commun Technol Salaya Nakhon Pathom Thailand

ISBN: (纸本)9781509055982

At the core of every computing related discipline and impacting everyone everywhere, computational thinking or CT has increasingly emerged as its own subject in all levels of education. How to effectively teach CT skills poses real challenges and creates opportunities. Focusing on engineering and computer science undergraduates, we resourcefully integrated elements of Artificial Intelligence (AI) into introductory computing courses. In addition to a comprehension of the essence of CT, AI enabled inspirations of collaborative problem solving beyond abstraction, logical reasoning, critical, and analytical thinking. It fostered the study of basic data structures and algorithms. Students enjoyed active learning classrooms. learning to learn, they constructed essential knowledge from solving exciting AI puzzles, competing in strategic AI games, and participating in intellectual discussion. Every activity is designed to allow students to fully engage their mental tools. Neither coding nor programming was required.

关键词： contputational thinking (CT) artificial intelligence (AI) collaborative problem solving active learning classrooms

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Machine learning Based Voltage Prediction with Various Levels of pH in IoT Environment 4th

Machine Learning Based Voltage Prediction with Various Level...

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4th international conference on Advanced Network Technologies and Intelligent computing, ANTIC 2024

作者： Kanagachidambaresan, G.R. Rohini, P. Jayasudha, V. Thipperudraswamy, S.P. Manickam, Pandiaraj Mathiyarasu, J. Kumararaja, P. Muralidhar, M. Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India Electrodics and Electrocatalysis Division Central Electro Chemical Research Institute CSIR-CECRI Karaikudi India Ghaziabad201 002 India Central Institute of Brackish Water Aquaculture Chennai India

ISBN: (纸本)9783031837821

For accurate pH measurement and voltage prediction, solution properties need to be converted into measurable electrical signals. Reliable and precise data from pH sensors are achieved by calibrating the sensors with known solutions, supporting effective monitoring and maintenance of water quality to safeguard organism health in aquaculture applications. In this study, fabricated pH strips are used for data measurement, and a dataset spanning various pH levels has been developed. Using machine learning algorithms, voltage is predicted across these pH values, with random forest regression yielding the best prediction accuracy for different pH ranges. This approach enhances sensor precision and reliability, minimizing the need for manual calibration. Additionally, it enables real-time pH monitoring and effectively captures complex parameter relationships, offering a more efficient and sustainable solution for optimal water quality management in aquaculture. The random forest model worked remarkably well, with a low RMSE of 0.01V and a R2 value of 0.99, indicating great accuracy and minimum error in voltage predictions. The high R2 score indicates that the model explains nearly all of the variance in the data. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Quality management

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Directing Teacher Focus in Computer Science Online learning Environments 6

Directing Teacher Focus in Computer Science Online Learning ...

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6th international conference on learning and teaching in computing and engineering (LaTiCE)

作者： Le, Katrina Tarmazdi, Hamid Vivian, Rebecca Falkner, Katrina Szabo, Claudia Falkner, Nickolas Univ Adelaide Sch Comp Sci Adelaide SA Australia

ISBN: (纸本)9781538678978

Discussion forums play a key role in most university courses today as a way to provide support for students outside classroom hours. However, with large class sizes and growing workloads for academics, monitoring often-large discussion forums is not an easy task. As a result, situations where students are distressed, questions are unanswered, or students require urgent support, may go unnoticed. Text classification and sentiment analysis techniques have become a popular approach to determine user attitudes, emotions and experiences within business and social science domains. Initial research has begun to explore the application of text classification to students written text to investigate how students experience learning processes. In this paper, we build on this emerging field, and apply text classification to forum text to determine if we can correctly notify lecturers when a student is experiencing difficulties with their Computer Science studies. We implement a Naive Bayes Classifier and apply it to a Moodle forum data. Our results show the potential benefits of this approach and also highlight key avenues for future work.

关键词： Discussion Forums Sentiment Analysis Student Intervention

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international conference on teaching and learning in computing and engineering (LaTiCE)

作者： Chiu-Fan Hu Yu-Tzu Lin Hui-Chi Chuang Cheng-Chih Wu Natl Taiwan Normal Univ Grad Inst Informat & Comp Educ Taipei Taiwan

ISBN: (纸本)9781479935918

The K-12 ICT (Information and Communication Technology) curriculum in Taiwan faced many changes in last two decades. In 1990s, Computers is a required subject in junior high schools and an elective subject in senior high schools, along with many elementary schools offered computer classes. In 2000s, when ICT was popular in schools and families, Taiwan MOE (Ministry of Education) decided that ICT should be integrated into all subjects and Computers was excluded from the required learning areas in K-9 education. On the other hand, computing science was considered important in senior high schools and Introduction to ICT became a compulsory subject in 2006. As Taiwan will implement a twelve-year public education program, the MOE is undergoing revising the existed K-12 curriculum. This paper reports our recommendation on a new ICT curriculum to be implemented in K-12 schools. The recommended ICT curriculum is based on Delphi research methodology. The merit of Delphi technique is to form consensus among experts through several rounds of questionnaire survey. By reviewing the ICT curriculum from many developed countries and organizations, we drafted a preliminary ICT curriculum, including its strands, objectives, and framework. The study is still undergoing. The paper reports the preliminary results of the first stage of our Delphi survey.

关键词： ICT K-12 education computing curriculum Delphi method

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Machine learning Models and FOREX Analysis: A Comparison with Hybrid Models to Predict the Next Day Exchange Rate 3rd

Machine Learning Models and FOREX Analysis: A Comparison wit...

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3rd international conference on Advancements in Smart computing and Information Security, ASCIS 2024

作者： Gorowara, Naaz Mittal, Misha Goel, Nidhi Tripathy, Ramamani Sarangi, Pradeepta Kumar Sahoo, Ashok Kumar Agrawal, Alok Kumar Goyal, Subhanshu Maharishi Markandeshwar Institute of Management Ambala Mullana India Maharishi Markandeshwar University Ambala Mullana India Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura India Chitkara University School of Engineering and Technology Chitkara University Himachal Pradesh Baddi India Graphic Era Deemed to be University Graphic Era Hill University Uttarakhand Dehradun India Department of Mathematics Marwadi University Rajkot India

ISBN: (纸本)9783031862892

The marketplace where currencies from every corner of the world undergo trading is known as the foreign exchange market. It enables traders to purchase or sell any money. Foreign currency, or forex, is a unique sector of finance where speculators can expect to make large profits but also face significant hazards. It’s also a rather straightforward market since dealers may make money simply by foreseeing the path of the two-currency rate of exchange. The foreign currency in the marketplace presents difficulties for period projections due to its fluctuating, highly unpredictable, irregular, and chaotic nature. It is challenging to build a reliable model that can both capture existing trends and adapt to new ones as market conditions change continually. In recent times, scholars worldwide have been closely examining the foreign exchange or FOREX market. Owing to its delicate nature, several studies have been carried out in an attempt to precisely forecast future FOREX currency prices. This work analyzes the effectiveness of machine learning models to predict the next day currency exchange rate (USD to INR). In this context, this work implements a RNN model, and a hybrid LSTM model. The accuracy thus calculated is 99.70% by RNN model and 99.79% by LSTM models respectively. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Currency exchange Dollar conversion LSTM model RNN model

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DiCS-Index: Predicting student performance in computer science by analyzing learning behaviors 4

DiCS-Index: Predicting student performance in computer scien...

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4th international conference on learning and teaching in computing and engineering (LaTICE)

作者： Capovilla, Dino Hubwieser, Peter Shah, Philipp Tech Univ Munich TUM Sch Educ Arcisstr 21 D-80333 Munich Germany

ISBN: (纸本)9781509025046

Many students with little pre-college exposure to computer science (CS) share widespread incorrect ideas and a negative attitude towards the subject, leading to wrong decisions when choosing their major. In order to support these students, we developed a questionnaire built on Kolb's and Pask's learning style theories. Our aim was to create an instrument that allows to predict student performance in CS based solely on non-subject specific information. Using 62 items from two questionnaires to operationalize the three personality traits as described by Kolb and Pask, we selected a subset of 15 items by comparing the results of students with high and low achievements in CS. Subsequently, we determined the so-called DiCS-Index by adding up the values of all these 15 items, where a high DiCS-Index suggests a good performance in CS. Finally, the instrument was tested at our local CS department. The analysis of the personality traits suggests that CS, as a course of studies, is open to a highly heterogeneous student body with varying preferences and strengths. The only significant difference found is a clearly better performance of students who prefer learning through abstract conceptualization as opposed to gathering concrete experience. Concerning the questionnaire, we found a clear distinction between students with high and low achievements indicated by a highly significant difference in their corresponding DiCS-Indices.

关键词： Computer Science Education DiCS-Index Kolb learning style theories Pask

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Six Years of teaching Mobile computing What We Have Learned 16

Six Years of Teaching Mobile Computing What We Have Learned

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16th IEEE international conference on Advanced learning Technologies (ICALT)

作者： Burton, Brian G. Martin, Barbara N. Abilene Christian Univ Sch Informat Technol & Comp Abilene TX 79699 USA Univ Cent Missouri State Univ Educ Leadership & Human Dev Warrensburg MO USA

ISBN: (纸本)9781467390415

This paper is a follow-up to presentations made in 2010 and 2014. Since 2008, the Apple iOS devices have become an integral part of student learning experiences at Abilene Christian University (ACU). This paper shares the experiences of the authors from teaching an undergraduate introductory course on mobile computing at ACU since 2009 to the present. Discussed within this paper are the authors' experiences meeting the challenges of the rapidly developing landscape of mobile app dev. The paper concludes with a direction for future courses in mobile computing.

关键词： (mobile computing)

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The Use of Software to Create E-learning Courses on Technical Subjects at University 1

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20th international conference on Interactive Collaborative learning (ICL) - teaching and learning in a Digital World

作者： Khoroshko, Leonid Leonidovich Ukhov, Peter Alexandrovich Khoroshko, Alexey Leonidovich Natl Res Univ Moscow Aviat Inst Moscow Russia

ISBN: (数字)9783319732046

ISBN: (纸本)9783319732046;9783319732039

This article proposes an integrated approach regarding the use of different software for practice-oriented training in engineering disciplines. Emphasis is placed on the formation of a unified educational space for training in engineering disciplines. An approach to the integration of a large number of application software solutions based on the "Moodle" distance learning shell was developed. Examples include the use of the proposed approach for "Machine Parts" and "Theory of Machines and Mechanisms" technical training courses in terms of practice-based learning.

关键词： engineering education e-learning 3D modeling

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A DATA MINING APPROACH TO INQUIRY BASED INDUCTIVE learning PRACTICE IN engineering EDUCATION 6

A DATA MINING APPROACH TO INQUIRY BASED INDUCTIVE LEARNING P...

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IEEE 6th international Advance computing conference (IACC)

作者： Jayasingh, Bipin Bihari CVR Coll Engn IT Dept Ibrahimpatan M 501510 Telangana State India

ISBN: (纸本)9781467382861

Inquiry based Inductive learning methodology is one of the best technique especially for the engineering students who are expected to solve real world problems. But it is very difficult to standardize a particular learning methodology for an institution with diverse attitude, diverse characteristics, diverse languages, diverse financial back grounds, and diverse cultural scenario with variable educational standard of the students. As the teaching methodology depends on the content and time as well as learners' varied style of learning, the same learner may prefer inductive teaching for one topic and deductive approach for the other topic. This paper initiates a sample study that is taken for a particular institution, in the particular environment, for the particular batch and particular set of students. The sample data are collected from a classroom by distributing the questionnaire attempted by two different batches of student having questions pertaining to Inquiry based and deductive learning. The system is developed and tested twice after teaching the content using inductive method and implemented using attribute relevance, discriminant rules of class discrimination mining. The results are visualized through bar charts and shows that the two batches of learners of different years have different learning characteristics.

关键词： Inquiry Based learning Blended learning Discrimination Mining Attribute Relevance Gain Discriminant Rule

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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...

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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

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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