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Knowledge Structure, Characteristics, and Global Research Trends Study of Smart Education Research: Bibliometric Analysis
Get PDFThis research aims to explain the knowledge structure, characteristics, and global trends of smart education research from the past to the present. This article is a bibliometric study with open-source tools, such as R-Studio, the biblioshiny package, and VOSviewer, to analyze the data and help visualize the network for presenting knowledge structure, characteristics, and global research trends, such as the production of annual publications, influential resources, most relevant or prolific authors, publication networks that co-citations, authors’ international collaboration, the scientific production of each country or each institution, and future trends. This study examined 1,580 articles published in international journals in the Scopus database on smart education from 1986 to 2022. The most annual scientific production will be in 2021, at 296 articles. The most relevant sources are Smart Innovation, Systems and Technologies. The most influential author is Gwo-Jen Hwang. The most cited article has 293 citations. Trend topics that began to gain attention from 2021 – the present is Artificial Intelligence, COVID-19 and Smart Education, Artificial Intelligence, Internet of Things in Motor Themes will be developed further and remain the dominant topics in this research field. This article summarizes an overview, knowledge structure, characteristics, and global research trends of smart education research.
 
Social Learning in Disadvantaged Municipalities in Hungary
Get PDFThe aim of the study is to measure the human resource potential of the North-Hungarian region in Hungary by developing and estimating a human development index at the level of municipalities. The results of the calculations will be produced for the last 3 census years (1990, 2001, 2011), showing which municipalities have the strongest human resource potential. In disadvantaged municipalities with low human development, there is an increased need for a social learning process. The existence of social enterprises can further strengthen the population retention capacity of a municipality, especially when targeted improvements and innovations are created. The study describes a successful social enterprise in a deprived municipality
Differentiated Instruction Efficiency of the Design Courses for Engineering Majors in a Smart Education Environment
Get PDFThe differentiated instructional strategy has been widely applied in countries around the world. However, the differentiated instruction of the design courses for engineering majors still has some barriers in term of learners, teachers, and attributes of the design courses in the smart education environment. To discuss the influences of the differentiated instructional strategy of the design courses for engineering majors on course achievement of learners in the smart education environment, a case study based on the course of “Architectural Interior Hand-painted Renderings” was conducted using two-group pre-test and post-test methods. The differentiated instructional strategy for this course in the smart education environment was designed to investigate its actual effect toward improving the learners’ course achievement, as well as its staged efficiency in preview, classroom learning, and creating learning through the student’s t-test from perspectives of its influence significance and staged efficiency. Results show that compared with traditional instructional strategy, differentiated instructional strategy can improve course achievement of learners significantly. During classroom learning, learners from the differentiated instruction class achieve significant improvements in term of “picture composition”, “line drawing”, “perspective drawing” and “color construction” compared with those during the preview. Learners further achieve significant improvements in terms of “picture composition,” “line drawing,” “perspective drawing,” and “creativity” during creating learning compared with those during classroom learning. Differentiated instruction has significant influences on improvement of the learners’ course achievement at different levels. This study provides method references to differentiated instruction design for engineering majors in smart education environment and offers a way to fulfill personalized needs of differential learners and improve teaching efficiency
Comprehensive Evaluation of Experimental Teaching Quality Using AHP-TOPSIS Technique
Get PDFThe key of university experimental teaching is to help students gradually perfect from knowledge learning to improvement of actual operational ability through experiments in the teaching and learning process. University experimental teaching is conducive for promoting innovative thinking and ability of practice of university students, and it plays an important role in the entire talent training system. Establishing scientific and reasonable evaluation methods and reflecting shortages in practical experimental teaching are not only keys of evaluation but also important guarantee to improve university experimental teaching quality. In this study, an evaluation index system of experimental teaching quality was constructed by combining analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). Weights of indexes were determined. Moreover, a case study based on a comprehensive evaluation of experimental teaching quality of Construction Engineering CAD for civil engineering majors of undergraduates was performed. Results demonstrated that Level 2 indexes about teachers’ good preparation of lessons and complete and standard teaching documents (X-1-3), as well as students’ active thinking and positive participation in classroom learning (X-3-2), had the highest weight. Students’ evaluation ranking results provided quantitative references to more scientific evaluation of experimental teaching. The comprehensive evaluation of experimental teaching quality using AHP-TOPSIS technique solves the mutual dependence and feedback relationship among evaluation indexes effectively, and avoids influences of subjectivity and one-sidedness of artificial weighting. Research conclusions can provide important references to optimize experimental teaching process, train the innovation ability of students, increase the comprehensive quality of students, and deepen reform in experimental teaching
Intention to Participate in MOOCs: Case of University Students in Northwestern Nigeria During COVID-19 Pandemic
Get PDFThe Massive open online courses (MOOCs) have been introduced over the past few decades to account for the twenty-first-era education and recent COVID-19 pandemic trials driven by the spread of internet-based technology on the internet. This research seeks to give an extended model investigating the intention to use MOOCs based on students at public universities in north-western Nigeria. The planned extended model, which extends the TAM, was tested via PLS structural equation modelling using data collected from 451 students at public universities in northwestern Nigeria. The research findings indicated that the proposed extended model delivers around is 72.0% descriptive effect and the creative technology acceptance TAM model. establishes strong signal for the effects of PU, PR, PEOU, SN, and TA on intentions to practice MOOCs technology among students at Nigerian public universities context. The pragmatic outcomes present practical implications and theoretical can be used for MOOCs developers with justifying the reasons as to why the usage of MOOCs is not high within public universities in North-ern-western Nigeria. The findings indicate PU, PEOU, PR SN, and TA, considerably impact students’ intention to use MOOCs. The research has theoretically provided insight into extended TAM in Nigerian learning environments to discover the issues influencing students' intents. The findings could practically enlighten administrators, instructors, developers, and policymakers in making informed decisions.
Mobile Technology – An Innovative Instructional Design Model in Distance Education
Get PDFThis research aims to introduce and examine the innovative instructional design model with Mobile Technology for undergraduates of School of Liberal Arts at Sukhothai Thammathirat Open University. Furthermore, it will evaluate the innovative instructional design model with Mobile Technology accordingly. The participants in the project comprised 30 undergraduates from the Information Science program, Thai Studies program, and English program who took the Science, Technology and Environment for Life course. They were selected through the cluster sampling technique. The research instruments comprised the innovative instructional design model, evaluation forms and the pre- and post- achievement tests. Included as well was the questionnaire on undergraduates’ opinions towards the model. The data analysis used the mean, the standard deviation, and the t-test. In addition, the model contains distance learning lessons which have been developed by Mobile Technology, and have passed educational quality assurance measures. It has been categorized regarding content, educational technology, and assessment by experts in content, educational technology, and assessment. The innovative instructional design with Mobile Technology has also been rated as “most appropriate” by five experts in the areas of distance education, mobile technology, educational technology, assessment, and content. The undergraduates learning from the innovative instructional design model showed significant achievement at the .05 level and their satisfaction was rated at the “high satisfaction” level. This paper reports the research findings regarding selected elements of the innovative instructional design model. It comprises the input, the process, the output and the feedback. There are nine steps to the innovative instructional design model with Mobile Technology
Smart System to Recapitulate Student Attendance on Virtual Meeting Platforms During Covid-19
Get PDFEducators have problems conducting online learning, such as monitoring student attendance while presenting the material. This paper aims to predict student names who attend zoom video conferences with various lighting conditions and face angles by comparing two detection and two recognition methods. This paper proposes an intelligent system based on the use of a bot that will analyse a combination of face detection and recognition method for attendance systems using video conferencing applications to carry out online learning. The proposed system will use the best combination of two methods to recapitulate student attendance. The face detection system uses Haar Cascade and MTCNN, and the face recognition system uses ResNet and FaceNet. The tests were conducted on video zoom footage taken during online lectures. The results show that MTCNN and FaceNet get the highest accuracy, 93.23%
Design of a Mobile App to Monitor and Control in Real Time Type 2 Diabetes Mellitus in Peru
Get PDFDiabetes in the world is a big problem. In addition, in Peru there are high cases of diabetes mellitus type 2, this happens due to insulin resistance, which causes damage to muscle, liver. In addition to the fact that the fat cells do not generate insulin correctly is because the body needs to generate more insulin so that glucose can enter the cells. Due to the problem that exists, a solution to the problem was sought with the objective of developing the design of a mobile application to monitor in real time, in such a way that it helps patients with diabetes to have a good monitoring plan. The methodology developed in the research is Design Thinking as it fits perfectly to the solution of the problems of society which was successfully developed using the phases of empathizing, defining, ideating, prototyping and finally testing. As a result, the design of the mobile application to monitor and control in real time patients with diabetes mellitus type 2 in Peru was obtained. In addition, obtained data on diabetes in Peru verified by the Ministry of Health, such as the results of registered cases of diabetes in Peru 2022, type of diabetes that develop in Peru on a large scale, type of diabetes in men and women. The complications that arise in the progression of the disease in addition to the cases of records according to sex and period of the year 2020 to 2022. Also, the cases presented diabetes throughout Peru therefore a survey was conducted where professors of the Universidad de Ciencias y Humanidades were conducted to qualify the prototypes for development which returned favorable results for implementation
What Does Digital Learning Teach?
Get PDFDigital learning does not determine its strategic benchmarks independently since it always represents only a training system component. Consequently, its goals and objectives cannot be understood without a preliminary understanding of the purposes and objectives put forward by the training system a part of which it forms. The issue of identifying this purpose as a person being a cognitive activity subject or a person being a bearer of a certain number of skills requires clarification. The digital learning concept will always contain a positive ("correct") or negative ("incorrect") answer to this question in the "default" status, as prescribed by the training system. And it will serve as an auxiliary tool only in promoting (and approving) different concepts of human capacity as a "correct" one
Cloud Intrusion Detection System Based on SVM
Get PDFThe demand for better intrusion detection and prevention solutions has elevated due to the current global uptick in hacking and computer network attacks. The Intrusion Detection System (IDS) is essential for spotting network attacks and anomalies, which have increased in size and scope. A detection system has become an effective security method that monitors and investigates security in cloud computing. However, several existing methods have faced issues such as low classification accuracy, high false positive rates, and low true positive rates. To solve these problems, a detection system based on Support Vector Machine (SVM) is proposed in this paper. In this method, the SVM classifier is utilized for network data classification into normal and abnormal behaviors. The Cloud Intrusion Detection Dataset is used to test the effectiveness of the suggested system. The experimental results show which the suggested system can detect abnormal behaviors with high accuracy