Online-Journals.org (International Association of Online Engineering)
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Visual Interactive Mobile Analysis of Online English Learning Behavior Based on Lagged Sequence Analysis Approach
Get PDFAs online education and visualization continue to advance, the volume of information is growing exponentially. However, the current intelligent system for online learning visualization is constructed with a relatively one-dimensional approach, leading to a one-sided optimization effect. Therefore, this study designs an efficient model for constructing learning paths for online groups from the perspective of blended learning, utilizing lagged sequence analysis (LSA). In addition, the model incorporates lagged sequence analysis, data mining methods, the minimum spanning tree algorithm, and other techniques to propose the OGLPM-S strategy. The experimental results demonstrate that the strategy is feasible, exhibiting high efficiency and stability. In addition, the intelligent joint algorithm can generate various group learning paths based on the characteristics of online English learners in the group. Through the novel LSA federation method, this paper establishes an online intelligent learning platform for group learning path construction services. It elaborates on the platform’s overall architecture, functional flow, strategy implementation, and construction results. The results show that the LSA-OGLPM-S strategy proposed in this paper can successfully construct group learning paths based on the behavioral data of online English learners. This approach is suitable for facilitating online learning among English learners
POGIL Learning Model—Metaphorming for Mobile-Based Cryptography Creation
Get PDFThe cryptography course has a mathematical basis and involves programming algorithms in the creation process while the implementation utilizes a programming language. Cryptography has been widely implemented in everyday life. However, the interest and learning outcomes of students in cryptography courses have not met expectations. Processoriented guided inquiry learning (POGIL) models integrated with metaphor. The POGIL metaphorming model is a student-centered learning model directed at active and creative thinking processes. One of the important processes in this stage is to develop a preliminary form of the product, conduct preliminary field testing, make the main product revision, conduct the main field testing, and perform operational product revisions. Based on the findings from the initial stage, an integrated learning model was developed for the cryptography course. Data for the model validation stage included model books, textbooks, lecturer’s guides, and student guides, calculated using content and construct validation techniques. Analysis of validity test data involves calculating the average score of all validator answers using Aiken’s coefficient v. The study results indicated that the model learning POGIL metaphorming is validly designed to enhance student learning processes and outcomes in cryptography courses
An Intelligent Framework for English Teaching through Deep Learning and Reinforcement Learning with Interactive Mobile Technology
Get PDFAs globalization deepens, the significance of English teaching in the educational landscape has become more prominent. Traditional teaching methods are increasingly inadequate for providing personalized and efficient learning experiences. This gap is being addressed by the rapid advancements in artificial intelligence, especially through deep and reinforcement learning. These technologies provide a framework for intelligent English teaching systems by mimicking human learning processes to customize personalized learning experiences, optimize learning paths, and enhance efficiency. However, challenges remain in fine-tuning teaching strategies to meet the varying needs of individual learners and dynamically adapting to their evolving interests in the short term. This study introduces a novel framework for an intelligent English teaching system that leverages the potential of interactive mobile technology alongside a deep Q-network (DQN) algorithm to dynamically adjust English teaching strategies. This approach enables real-time personalization of teaching strategies to create optimal learning paths for individual learners. Moreover, it incorporates a model based on neural collaborative filtering to capture and adapt to learners’ short-term dynamic interests, thereby recommending relevant learning content in real-time. This framework enhances learning efficiency and personalizes content delivery, demonstrating considerable theoretical and practical value for the future of educational technology
Design and Experimental Study of Interactive Experiences in Architectural Heritage Education Based on Mobile Augmented Reality Technology
Get PDFAs globalization accelerates and technology advances, the education and transmission of architectural heritage face new challenges and opportunities. Mobile augmented reality (MAR) technology offers innovative means for presenting and educating about architectural heritage, enhancing user experiences and interactivity through the overlay of virtual information. This study explores the application of MAR in architectural heritage education, examining its potential to enhance educational outcomes, increase user engagement, and foster awareness of heritage conservation. While the technology has been widely explored in other educational fields, its application in architectural heritage remains insufficient, particularly in the design of collaborative tasks, assessment of user satisfaction, and implementation of incentive mechanisms. This paper encompasses three research components: a detailed description of collaborative tasks in architectural heritage education using MAR, the development of a satisfaction model to evaluate the effectiveness of these tasks, and the construction of an educational collaboration incentive mechanism. Through this study, the paper not only enriches the application of MAR in cultural heritage conservation but also provides theoretical and empirical support for future related studies
A Hybrid-Transformer-Based Cyber-Attack Detection in IoT Networks
Get PDFThe concept of the Internet of Things (IoT) is significant in today’s world and opens up new opportunities for several organizations. IoT solutions are proliferating in fields such as self-driving cars, smart homes, transportation, and healthcare, and new services are constantly being created. Over the previous decade, society has seen a significant expansion in IoT connectivity. In reality, IoT connectivity will expand in a variety of domains over the next few years. Various problems must be overcome to permit effective and secure operations. However, growing connections increase the potential for cyber-attacks since attackers can exploit the broad network of linked devices. Artificial intelligence (AI) detects and prevents cyber assaults by constantly developing and adjusting to new threats and weaknesses. In this study, we offer a novel cyber-detection model for IoT networks based on convolutional neural networks (CNN) transformers. The study aims to enhance the system’s ability to identify and detect cyberattacks, new and sophisticated assaults, and its performance. The experimental study findings, using a new cybersecurity CICIoT2023 dataset, show that the CNN-Transformer model can detect IoT hazards with an overall accuracy of 99.49%. In identifying hazardous activity, MLP accuracy is 99.39%, while XGBoost-pipeline accuracy is 99.40%
Cisco’s Flipped-Learning-Peer-Learning Initiative: Learning & Modeling the Best Practices of Top Performers
Get PDFThis paper presents a new learning initiative that Cisco plans to roll out for its community of salespeople in collaboration with researchers from the National University of Singapore. Unlike Cisco’s existing sales training programs, this initiative adopts a bottom-up approach for the purpose of capturing and leveraging the “wisdom in the crowd” that is unique to Cisco’s products, services, processes, and markets. Specifically, learning content will be sourced from selected members of Cisco’s sales community who have been identified as subject matter experts (SMEs) in some aspect of the sales pipeline. Content created by the SMEs will typically take the form of a short video that codifies their best practices but may include some other material. To support learners consume and internalize the learning content at scale, a stratified learning model comprising two active learning approaches is used—namely, flipped learning and peer learning. The model provides learners with opportunities for self-direction. For example, learners get to choose what and how to learn. Machine learning will be used to automate various processes, including SME identification, generating personalized content recommendations, and pairing learners with peer learning partners. The efficacy of this new learning initiative will be measured in terms of its impact on individual sales productivity, using an adaptation of the New World Kirkpatrick Model, a recent iteration of the industry standard for measuring corporate learning success
Experiencing Religious Diversity in Teacher Training: The Dynamics of Learning in Encounter
Get PDFFocusing on the essential relationship between encounter and education, this paper explores the significance of encounter for religious education in religiously diverse contexts. The study delves into the evaluation findings of a collaborative and project-based course conducted in higher education. This course aims to involve students in the development and implementation of collaborative projects centered around Religious Education, with a particular emphasis on cultural and religious diversity. The empirical findings primarily examine students' firsthand experiences with a specific focus on learning in encounter within religiously diverse groups. The paper critically analyzes the planning, execution, and reflective aspects of learning experiences facilitated by collaboration and encounters. It explores the course's structure, methodology, and outcomes. It also investigates and reflects upon the quality of students' experiences within religiously diverse groups, as well as potential influences on their learning. Additionally, the paper explores how these encounters can be constructively integrated to enhance future collaborative scenarios in higher education. By emphasizing encounter as a vital component of education, this paper underscores the importance of engaging with diverse religious perspectives. The findings of this study contribute to the ongoing exploration of how encounters can enrich the educational process and improve future collaborative initiatives within the higher education sector
 
Uncommon Sense Teaching: A 3-Course Online Specialization on the Coursera Platform to Share Advances in Effective Teaching
No full textThis paper gives an overview of the creative process and construction underlying the threecourse Coursera specialization Uncommon Sense Teaching, encompassing 16 hours of video and roughly 50 hours of total dedicated study time for students. In the year since its launch in September of 2022, this specialization has received a 5.0 out of 5.0 rating with 119 reviews and over 2,300 enrollees, attesting to learner satisfaction with the quality of the instruction. Careful planning and attention to detail were behind the success—this paper gives an overview of the specialization’s planning, creative, and implementation processes, including a discussion of costs
IBM Center for Cloud Training Helps Close the Cloud Talent Gap
Get PDFWith technology becoming increasingly critical to business success, the value of training is becoming more apparent. As a result, learning and development (L&D) is playing a larger role in the success of professionals and the corporations that employ them.
For the IBM Center for Cloud Training (ICCT), the challenge was clear: to close the gap between the numbers of people needed to manage the growing field of Cloud technology and the numbers of people qualified for those jobs. The opportunity and path to success also were clear: ICCT provides its clients with innovative learning programs and award-winning support. ICCT’s efforts have played a significant role in building a worldwide body of qualified professionals trained in the role-based and technical skills necessary to enable one of the fastest growing aspects of computer technology
Transferable Best Practices and Mutual Learning Opportunities Between Instructional Design in Higher Education and the Corporate World: Shared Insights for Instructional Design in Academia and Business
Get PDFInstructional design facilitates effective learning in higher education and workplace training contexts. This paper examines the crossover between instructional design approaches in these settings. It identifies core transferable practices like defined objectives, assessment alignment, and active learning grounded in learning theories and research-based models. Differential practices suited to the unique contexts are also explored, including critical thinking in higher education and rapid iterative design in corporate learning. Finally, mutual learning opportunities are presented for how each domain can adapt select practices from the other to enhance their instructional design effectiveness, such as higher education integrating more experiential learning and corporate training focusing more on critical thinking development