As quantum machine learning (QML) emerges as a promising field at the intersection of quantum computing and artificial intelligence, it becomes crucial to address the biases and challenges that arise from the unique n...
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ISBN:
(纸本)9798331541378
As quantum machine learning (QML) emerges as a promising field at the intersection of quantum computing and artificial intelligence, it becomes crucial to address the biases and challenges that arise from the unique nature of quantum systems. This research includes work on identification, diagnosis, and response to biases in Quantum Machine learning. This paper aims to provide an overview of three key topics: How does bias unique to Quantum Machine learning look? Why and how can it occur? What can and should be done about it?
Artificial Intelligence Generated Content (AIGC) is an important issue in the field of higher education. Although many studies on AIGC have appeared, they are mainly theoretical rather than empirical studies, and the ...
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ISBN:
(纸本)9789819744411;9789819744428
Artificial Intelligence Generated Content (AIGC) is an important issue in the field of higher education. Although many studies on AIGC have appeared, they are mainly theoretical rather than empirical studies, and the study of how to effectively integrate AIGC into teaching is insufficient. Considering the compatibility between artificial intelligence and blended learning, based on constructivist learning theory and deep learning theory, and using AIGC, we designed a blended learning involving teacher, student, and AIGC, and three segments of pre-class, in-class, and post-class, and conducted teaching practice. A total of 79 students majoring in computer science and technology were selected as the research participants, and a single-group pre- and post-test method was employed to verify the effectiveness of the experiment. The results show that the blended learning design based on AIGC is feasible and effective, and students can adapt to and deeply participate in the teaching process. It also significantly improves students' deep learning ability and ensures that students master the knowledge of the course.
The advent of COVID-19 has precipitated the adoption of online learning modalities, allowing educators to transition from conventional teaching methods to a blended learning approach. This study investigates the imple...
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ISBN:
(纸本)9798400718083
The advent of COVID-19 has precipitated the adoption of online learning modalities, allowing educators to transition from conventional teaching methods to a blended learning approach. This study investigates the implementation of an interdisciplinary, projectbased Building Information Modelling (BIM) course, delivered through a cloud-based flipped classroom model. A centralised portal was employed, facilitating the seamless integration of BIM-TV, cloud gaming, and BIM server. The results of this study underscore the potential of flipped classrooms that incorporate cloud technology into pedagogical strategies to enhance student engagement, active learning, and self-directed learning. This innovative methodology offers students and instructors a high degree of flexibility and accessibility, fostering active engagement, and facilitating personalised learning experiences through the utilisation of advanced digital educational tools. Leveraging blended learning, traditional BIM education can exploit the advantages of technology while maintaining the invaluable aspect of face-to-face interaction.
This study explores the integration of Educational Robotics (ER) and the Internet of Things (IoT) in learning environments, highlighting their collective impact on educational practices. It assesses ER and IoT's a...
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ISBN:
(纸本)9798350369458;9798350369441
This study explores the integration of Educational Robotics (ER) and the Internet of Things (IoT) in learning environments, highlighting their collective impact on educational practices. It assesses ER and IoT's application, challenges, and opportunities, offering insights into their role in enhancing pedagogy and learning outcomes. Specifically, our exploration uncovers the transformative potential of ER and IoT in fostering critical thinking, problem-solving skills, and digital literacy among students and reveals the pivotal role these technologies play in preparing learners for the demands of the digital age and Industry 4.0, while also highlighting the need for strategic implementation and teacher support. Our findings elucidate the potential of ER and IoT to innovate teaching strategies and curriculum design, serving as a guide for educational stakeholders, such as curriculum developers, educators, researchers, and policymakers, in leveraging these technologies to revolutionize instructional practices.
Following the pandemic, the need for distant learning interrupted the teaching and learning process, resulting in numerous adjustments. The phenomenon has an impact on learning activities, encouraging lecturers to be ...
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The increasing demand for software engineering education presents learning challenges in courses due to the diverse range of topics that require practical applications, such as programming or software design, all of w...
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ISBN:
(纸本)9798400704987
The increasing demand for software engineering education presents learning challenges in courses due to the diverse range of topics that require practical applications, such as programming or software design, all of which are supported by group work and interaction. Social Annotation (SA) is an approach to teaching that can enhance collaborative learning among students. In SA, both students and teachers utilize platforms like Feedback Fruits, Perusall, and Diigo to collaboratively annotate and discuss course materials. This approach encourages students to share their thoughts and answers with their peers, fostering a more interactive learning environment. We share our experience of implementing social annotation via Perusall as a preparatory tool for lectures in an introductory programming course aimed at undergraduate students in Software engineering. We report the impact of Perusall on the examination results of 112 students. Our results show that 81% of students engaged in meaningful social annotation successfully passed the course. Notably, the proportion of students passing the exam tends to rise as they complete more Perusall assignments. In contrast, only 56% of students who did not participate in Perusall discussions managed to pass the exam. We did not enforce mandatory Perusall participation in the course. Yet, the feedback from our course evaluation questionnaire reveals that most students ranked Perusall among their favorite components of the course and that their interest in the subject has increased.
As the engineering landscape advances, becoming increasingly intricate and interwoven with diverse disciplines, individuals from varied backgrounds find themselves navigating territories that may be partially familiar...
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As the engineering landscape advances, becoming increasingly intricate and interwoven with diverse disciplines, individuals from varied backgrounds find themselves navigating territories that may be partially familiar or entirely novel to them. Addressing this dynamic, adaptive learning and teaching emerge as effective tools to cater to unique learning preferences and the varying foundational knowledge of each student, ensuring tailored educational trajectories. Individualized progression is essential, when handling complex engineering problems that rely on layered and sequential understanding. Adaptive teaching and learning approach are still rarely utilized in most educational settings. To date, the integration of adaptive systems in higher education has not been exploited to its full potential. A particularly intriguing research area is the deployment of adaptability within mixed-reality environments. The convergence of adaptive learning with immersive technologies holds great potential for delivering experiential handson learning. Furthermore, data-centric design enables educators to gain insight into each student's performance. An analytical perspective can reshape teaching strategies and curricular adjustments in engineering education for the foreseeable future. This paper provides an overview on fundamental principles of adaptive learning and teaching. A mixed reality approach is introduced, which employs a comprehensive progression model for virtual learning environments. The model provides a structure to examine various stages of incorporating adaptive learning and teaching techniques. At each phase of the model distinct opportunities and challenges are identified. The proposed framework may act as a guiding structure for the design, development and deployment of adaptive learning environments. In presenting this research, the focus is put on fostering the discourse, collaborations, and innovations in adaptive learning applications within higher education i
Traditional English teaching evaluation has problems such as subjectivity, limitations, quantitative bias, and lacks feedback and support. The evaluation algorithm based on data analysis technology provides an accurat...
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Online learning is currently developing rapidly, but the separation between teachers and students' physical spaces leads to a lack of emotional communication, which is a huge challenge that online learning current...
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In this paper the author shares some reflections on the current state of affairs in engineering undergraduate education, and invites the reader to reflect on the role universities play in facilitating the students'...
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ISBN:
(纸本)9781665453318
In this paper the author shares some reflections on the current state of affairs in engineering undergraduate education, and invites the reader to reflect on the role universities play in facilitating the students' transition from "dependent children" to "self-regulated, adult learners".
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