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Staff and student perceptions of the teaching-learning environment: a case study

international JOURNAL OF ELECTRICAL engineering EDUCATION 2005年第1期42卷 30-40页

作者： Nisbet, JB Entwistle, NJ McQuillin, B Robinson, IM Univ Edinburgh Sch Educ Edinburgh Midlothian Scotland Sheffield Hallam Univ Sch Engn Sheffield S1 1WB S Yorkshire England

This case study forms part of a large-scale project on Enhancing teaching-learning Environments in Undergraduate Courses (http://***/etl). It is based on questionnaires and interviews with students and staff in a post-1992 university, on a final-year module in analogue electronics. Both staff and students highlight the importance of coherence, continuity and connectedness in teaching and learning over the course of the degree.

关键词： electronic engineering staff perceptions student learning student perceptions university teaching

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Ethics of AI in the Educational Sector - Navigating the Moral Landscape 3rd

Ethics of AI in the Educational Sector - Navigating the Mora...

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

作者： Manoharan, Geetha Ashtikar, Sunitha Purushottam Dudhagara, Chetan R. School of Business SR University Telangana Warangal India International Agribusiness Management Institute Gujrat Anand India

ISBN: (纸本)9783031862984

This chapter investigates the ethical considerations surrounding the rapidly expanding digital area of artificial intelligence (AI) and the challenges of applying it to the education sector. Initially, the influence of AI on modern education is examined, along with its possible benefits (such as customized instruction and reduced administrative tasks) and drawbacks (like worries about data privacy, inclusiveness, and accessibility). We look at significant ethical concerns while delving into this fascinating area, such as how AI may affect student privacy, the potential for algorithmic bias, and the requirement that AI systems be honest. We investigate the potential downsides of predictive analytics and data-driven education, carefully examining the trade-off between personalization and privacy. We also discuss the problem of algorithmic fairness and how machine learning algorithms might reinforce existing inequalities. As 2023 draws near, one of the most significant technical trends in higher education is artificial intelligence (AI). By offering customised instruction based on each student’s needs and facilitating creative approaches to accessibility, artificial intelligence (AI) can improve the educational experience. AI has the potential to improve student interaction with course materials, which will lead to positive results. However, it is critical to recognise the potential ethical issues that need to be addressed, such as maintaining equity, reducing prejudice, and addressing the possibility that AI could eventually replace human instructors in the classroom. The need of accountability and transparency in artificial intelligence-based teaching technologies is emphasised in this chapter. Next, consideration is given to offering moral guidelines for the application of AI in education. We support the establishment of a framework that gives openness, inclusiveness, accountability, and a student-centered approach top priority. This chapter adds a great deal to the

关键词： Differential privacy

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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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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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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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Mathematical Competency of Engineers and engineering Students

Mathematical Competency of Engineers and Engineering Student...

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

作者： Firouzian, Soheila Ismail, Zaleha Abd Rahman, Roselainy Yusof, Yudariah Mohammad Kashefi, Hamidreza Firouzian, Fariba Univ Teknol Malaysia Dept Educ Sci Math & Creat Multimedia Johor Baharu 81300 Malaysia Univ Teknol Malaysia Sci & Math Dept Johor Baharu 81300 Malaysia Univ Teknol Malaysia UTM Razak Sch Kuala Lumpur Malaysia Bahonar Univ Kerman Mahani Dept Kerman Iran

ISBN: (纸本)9781479935918

Mathematics is considered a fundamental component of engineering education, thus it is important to determine the mathematical competencies (MCs) attained by engineering undergraduate students so that they will be able to use these competencies to support their professional engineering work. The MCs were identified based on Niss's work, namely;thinking mathematically, reasoning, problem posing and solving, modeling, representing, communicating, symbolism and formalism, using aids and tool. This research was done to explore MCs in engineering mathematics curriculum by conducting two studies;a study on engineers' MCs requirements at the workplace and a study on the engineering students' MCs acquirements at the university. In the first phase, 22 engineers from various industries in Malaysia responded to a set of open-ended questionnaires followed by interview session with 10 selected engineers. In the second phase, 41 engineering undergraduate students participated by answering a set of questionnaires with open ended questions The data of the research were analyzed qualitatively using schema coding approach as well as appropriate statistical analysis. The findings from both phases gave indication the MCs required should be the focus of engineering mathematics curriculum. Particularly it highlighted which MCs were actually attained by the undergraduate engineering students as compared to the MCs that were needed based on the demands at the workplace. The results gave suggestion that mathematics curriculum should also focus on MCs as outcomes besides the development of mathematical concepts and skills.

关键词： Mathematical competencies engineering mathematics curriculum Mathematical skills

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Development of Metaverse Inquiry-Based learning

Development of Metaverse Inquiry-Based Learning

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

作者： Sekido, Takahiro Shusen, Masuda Kazuomi, Kawato Keiko, Kanazawa Kaneko Uno Nishiguchi Tabuchi Sun Futami Sumitani Kobe Inst Comp Grad Sch Informat Technol Collaborat Res Kobe Japan SOLIZE Corp Tokyo Japan Kobe Inst Comp Grad Sch Informat Technol Kobe Japan

ISBN: (纸本)9781665453318

Kobe Institute of computing | Graduate School of Information Technology is working on the "High School Tankyu(inquiry) Project," which is centered on inquiry-based learning using ICT in higher education. This project is an effort to draw out the imagination and creativity of high school students by creating a town in a metaverse space using ICT, and to build a system that allows students to run on their own. Here, we report on our efforts to develop contents for city planning in the metaverse space and to implement them in the classroom.

关键词： Tankyu chart inquiry-based learning metaverse 3D modeling

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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.

关键词：

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Industry Involvement In Undergraduate Research Project For Chemical engineering (Biotechnology) Programme

Industry Involvement In Undergraduate Research Project For C...

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

作者： Zainol, Norazwina Abidin, Sumaiya Zainal Abu Yazid, Noraziah Univ Malaysia Pahang Fac Chem & Nat Resources Engn Kuantan Pahang Malaysia

ISBN: (纸本)9781479935918

This paper reported on industry involvement in Undergraduate Research Project (URP) course. During the final year of study, Chemical engineering (Biotechnology) (BKB) students were required to conduct a final year project. Undergraduate Research Project (URP) was divided into two which were URP I and URP II. In URP I, students have to prepare a research proposal and URP II was the continuation of URP I. In URP II the students were required to conduct the research and produce the dissertation. Rubrics for each evaluation have been developed to clearly define the assessments. In order to ensure a strong connection between students, staff and industry, BKB students were required to have at least 15% industrially linked/based URP topics. Starting from 2012, the faculty has invited external examiners from research institution and industries to assess students during their URP II presentation seminar. The presentation seminar was successfully conducted with the involvement of 14 industrial academic panels. The panels came from various industries, research institutes and consultation companies such as Petronas, MTBE Malaysia, Biotropics Malaysia, MOX Gases, FRIM and Sime Darby. Their recommendations and suggestions during the presentation projects have benefited all students and lecturer towards improving their research works. Other than that, the requirement to have at least 15% industrially linked URP topics has strengthened the relationship between the faculty and industry. In addition, several URP projects has been sent for research exhibition, internal and externally.

关键词： engineering education industry undergraduate research project chemical engineering biotechnology

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Pattern of Reflection in learning for Predicting Students' Performance

Pattern of Reflection in Learning for Predicting Students' P...

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

作者： Mohamad, Siti Khadijah Tasir, Zaidatun Univ Teknol Malaysia Fac Educ Dept Educ Sci Math & Creat Multimedia Skudai 81310 Johor Malaysia

ISBN: (纸本)9781479935918

Some complex problems in the computational area are learning programming and algorithms. Authoring system is a subject that can be considered as complex as it integrates the use of scripting language like Action Script in Flash, Active Server Pages (ASP) and Hypertext Preprocessor (PHP). The normal problem that resides when it comes to programming is handling error as it is not an easy task and for those who are new, might find this very troublesome. Handling the error requires proper planning and skills in analyzing problem which students usually lack at. Reflection in learning is really helpful in helping students learn the Authoring System subject effectively as they are encourage to share ideas, experiences and perspective actively on the emerging issues of Action Script topic especially in discussing the concepts and errors. With the need for reflection in developing the required skills in learning Authoring System, how then do we ensure and measure the quality in student reflection journals and its contact in assessing the subject content and students' performance in learning? Quality is defined as " processes or outcomes" [1]. In the context of this research study, quality is determined by assessing the progression of reflective processes based on the interventions given. As an educator, we need to be aware on how new technologies act as the engagers and facilitators in the reflection purposes. Blog is one of the emerging technologies that can offer such pedagogical benefits as reflective tools and social affordances across disciplines provided that one can read and make comments that lead to meaningful discussion for common interests and individual differences [2]. Although blogging enable deep reflection in each individual blogs, somehow it failed to encourage peer feedback to each other blogs and collaboration among students to support reflective thinking as expected [3]. This problem exists probably due to the minimum used of blog technical features and a

关键词： Blog Data Mining Metacognitive scaffolding Rasch Model Reflection Reflective thinking

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