Online-Journals.org (International Association of Online Engineering)
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Technology Enabled Integrated Fusion Teaching for Enhancing Learning Outcomes in Higher Education
Disruptions involving integration of cyber physical systems are changing the industrial ecosystem in the form of industry 4.0. A competent and educated workforce is required to materialise industry 4.0 in India. This study evaluates impact of technology enabled integrated fusion teaching for students in an affiliated college in Delhi NCR region in India. The performance of students taught with technology enabled integrated fusion teaching and traditional method was compared. Paired t test and independent t test was used to analyse the academic performance. It was found that academic performance of students taught by technology enabled integrated fusion teaching (TEIFT) was significantly better than traditional teaching
Influence of a New Media Data Interaction System on the Course Teaching Effect
The new media data interaction system is the product of the joint development of information technology, computer technology, and education reform, which has a certain impact on the traditional teaching model. To continuously improve the course teaching effect, the influence of the new system on the course teaching effect was investigated. Experimental and control classes were set and the number of each class and teaching time were confirmed. The experimental class adopted the new media data interaction system to assist the course teaching and made courseware of such a system through different methods, such as literature data, questionnaires, and experiment methods. Moreover, a pretest questionnaire and an in-class observation scale were designed and the experimental data were analyzed through t-test and statistical analysis. Results indicate there is no significant difference in student ability and academic performance between the experimental and control classes before participating in the study. After the participation, the mean scores of the in-class scale in the learning interest, learning attitude, and communication ability of the experimental class are 13.42, 13.26, and 16.37, respectively, which are significantly different from those of the conventional class (p<0.05). Thus, the new media data interaction system can improve the course teaching effect
Teaching Decision Optimization for Sustainable Development of Students
With the shift of the global education view to humanism, more and more scholars and experts have gradually deepened their research on sustainable development ability of students in higher vocational colleges. As for sustainable development of students, the core and basic point is to develop their personality and teach them in accordance with their aptitude. As a bridge and link between teaching thinking and practice of teachers, their teaching decisions need to fully take into consideration the sustainable development of students, which is of great significance to future employment, job transfer and promotion of students. Therefore, this paper studies the teaching decision optimization (TDO) for the sustainable development of students. First of all, a related teaching decision model is constructed. Then this paper proposes the particle swarm optimization algorithm (PSO) of teaching decision path based on progress rate, gives the principle of selecting TDO template, designs three different optimization models for ordinary particles, high-quality particles and progress particles and represents the optimization strategy of teaching decision path. Finally, experimental results verify the effectiveness of the optimization model
Digital Management of Teaching Cases in Colleges and Universities Based on Cluster Analysis
The necessity of digital management of teaching cases is mainly reflected in the aspects of improving teaching quality, facilitating retrieval and storage, achieving cross-platform sharing, conducting real-time updating, saving resources, and carrying out data analysis and evaluation. However, there are still some defects in the existing management models or methods, which lead to difficulties in data storage and retrieval, and affect the utilization efficiency of teaching resources. To this end, this article takes the Chinese language and literature major as an example, and studies the digital management of teaching cases in colleges and universities based on cluster analysis. First of all, it quantifies the quality of digital management of teaching cases, enables resource demanders to accurately select digital resources of teaching cases that meet their teaching or learning needs through the evaluation index of service quality when faced with diversified digital resources of teaching cases in colleges and universities. The clustering algorithm is used to mine potential topics and patterns in teaching cases, which improves the classification efficiency of teaching cases and enables educators to have a deeper understanding of teaching content and educational needs. It uses "absolute index", "incremental index" and "fluctuation index" to construct the similarity measurement distance function of the basic attributes of teaching cases in colleges and universities and uses the Ward method based on variance analysis to classify the characteristics of teaching cases in colleges and universities. Experimental results verify the effectiveness of the proposed method
Comparative Analysis of Cross-Cultural Teaching Management in Big Data Environment
Cross-cultural teaching management in the big data environment not only enhances the quality and effectiveness of education but also promotes global cooperation and exchange in education, which has important practical significance and value. Existing methods for analyzing effectiveness and practicality are usually qualitative analysis methods. While this method emphasizes the complexity and diversity of educational phenomena, it may lead to subjectivity and instability in data processing and result presentation, affecting the reliability and objectivity of the analysis results. In this paper, a quantitative comparative analysis of the effectiveness and practicality of cross-cultural teaching management in the big data environment is conducted, which helps educators better understand the needs of students from different cultural backgrounds and develop more targeted teaching plans to improve the quality of education. First, the content of cross-cultural teaching management in the big data environment is explained, and the reasons and implementation process of the comparative analysis of effectiveness and practicality are provided. The evaluation indicators for the effectiveness and practicality of cross-cultural teaching management in the big data environment are determined, and the evaluation methods are given. Experimental analysis results are presented with examples to validate the effectiveness of the proposed method
Developing Robotic Cricket Batting Test Technology with Camera Sensor and Grid System
The purpose of this study is to discuss the response of students/athletes to strokes and the effect of measuring instruments on Straight Drive strokes and to produce new products through the development process. This research method is research and development type. Research and development produces products that have effectiveness in accordance with the use of the product. The instrument used in this study is a digital-based cricket skill test instrument in Indonesia in the form of an observation sheet that has been tested for the validity of media experts and evaluation experts. Research procedure develop using 4D model. The results of the trial showed that students from both schools on average had very good ball hitting skills, this data was then synchronized to find out whether there was an effect of student responses on students' abilities. The results show that there is a 53.4% effect of the students' positive response on their hitting ability
The Current Perceptions About Instructional Tools in Educational Towards Adoption of Virtual Reality Among Undergraduate Students
Virtual reality (VR) has emerged as a major tool in this field of research and education development. However, many challenges arise for students during the course of instruction and learning. The learning process, the placement of support assessment variables, and the behavioral intention to continue using it within the learning spectrum are crucial to the success of virtual reality in the educational sector. The goals of this study are to inquire into the degree to which VR is now being utilized in the field of education. In addition, Thematic analysis was used to analyze the data since it provided an applicable approach to use across the interviews, many methods combined into this study. The study polled 32 teachers and analyzed the results with advanced analysist tools. All of the proposed points were determined using the data analysis.
 
Mobiles, Digital Tech, Empathy, Metacognition, Self-Consciousness and the Role of Parents in Schools and Societies of the Future
Parents need to develop their cognitive and metacognitive skills such as lifelong learning skills, self-leadership, self-regulation, empathy as well as mindfulness and self-consciousness in order to sustain their parenting role as well as develop their personal and professional capabilities. More specifically, emerging technologies, such as mobiles and artificial intelligence have gained ground on enhancing responsible parenting, parents’ engagement with children’s learning procedures, parents’ wellness and active aging as well as parents’ cognitive and emotional balance in regard to their parenting role. Emerging technologies offer convenient, personalized and cost-effective training and assessment tools for parents with the final aim to create flexible and inclusive school communities
A Secure Recommender System Model for Service Placement in Wireless Networks
Edge or fog computing are being used to reduce latency between end devices and traditional cloud computing. The latest developments that have improved the hardware aspects of wireless sensors and mobile networks, gave the opportunity for other enhancements if such technologies are integrated between them. Regarding this enhanced heterogeneous environment, the approach of placing services needs to reconsider the security aspects. We have developed a baseline method of a solution which fulfills the cybersecurity requirements converging with the proposed multi-tier integrated model, that enhances the K-means algorithm with added processing steps supplying the criteria of the CIA triad
Developing Chatbot Conversational Systems & the Future Generation Enterprise Systems
Conversational technology has recently emerged effectively; it helps people in communicating with smart devices such as smartphones by using human language. When they emerged, they enabled and assisted users to perform various functions such as gathering information, conducting transactions, having general conversations, and easily navigating web services and entertainment. They not only have an impact on people in general by improving customer service as they can provide answers to any inquiries but also facilitated navigation by assisting people with disabilities by interacting with a system that deals with voices or any other human language. In addition, recently they started to play a significant role in enterprise systems by supporting employees as they are assisted in learning the newly implemented system. As virtual assistants, they contribute to better accessibility, and acceptance, and also reduce the costs associated with customer service. This paper provides a chatbot system that helps the employees to learn how to deal with the newly installed ERP system flexibly and easily, which helps in solving one of the common problems that occur when switching to the ERP system