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    Social Robotics in Education: A Survey on Recent Studies and Applications

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    Over the last years, social robots have been conceived to be used in various domains and for different purposes. This paper presents a survey on different applications and aspects of social robots in education. Different contexts are seen, ranging from children education, until higher education. A variety of applications and studies are reported, in areas like as second language tutoring, teaching assistance, and storytelling. Robotic platforms used in these applications are observed, and means of evaluation of users perception of robots are presented

    Teaching Knowledge Sharing in Virtual Practice Teaching

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    Physical education, skill training and other related courses with physical exercises and experience training as the main means are suitable for teaching with virtual reality technology. Constructing teaching knowledge sharing strategy can promote the sharing of virtual practical teaching resources among students. At present, no scholars have paid attention to how to promote the exchange of ideas and experiences among students participating in virtual practical teaching, so that teaching knowledge can spread among students faster and more effectively. Therefore, this article studies the teaching knowledge sharing method of virtual practice teaching and constructs BiLSTM-Attention relation extraction model to recognize named entities of teaching knowledge resources in virtual practice teaching, to record the information of knowledge points involved in teaching knowledge resources, and to explore the information hidden in knowledge resources more deeply. This article constructs a knowledge sharing model of virtual practice teaching based on traditional evolutionary game, and analyzes the local stability of the model based on Jacobin Matrix. Experimental results verify the effectiveness of the model

    Development of Gamification-Based E-Learning on Web Design Topic

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    Conventional learnings have given way to methods aided by technological advances. The approach known as Student-Centered Learning (SCL) is the foundation of e-learning. Furthermore, SCL demands students to be self-motivated to complete courses and engage with the offered learning content. Programming is one of the most important subjects to study independently and with the aid of an instructor. The need for graduates with programming and computational skills in the field of web design continues to receive widespread attention from the industry. However, problems such as low student engagement are often encountered in learning about programming concepts and syntax. Gamification is an instructional approach to facilitate learning and boost motivation through game elements, mechanics, and thinking. Therefore, this research aims to discuss the development of Gamification-based e-learning to increase student engagement and motivation, especially in HTML and CSS web design. This system was tested with 3 methods, including unit, system, and user testing. In user testing, this study involved 264 students from computer backgrounds to validate the system. The results show that the e-learning system can perform well according to the expected specifications

    Enhancing the Security of Software Defined Mobile Networks (SDMN) based on Blockchain Technology

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    The blockchain involves future developments and new technologies. The emergence of a blockchain is a challenge for the conventional social organization and mode of activity. Data latency and mobile network capacity would no longer be a limitation for mobile users in next-generation networks of Software Defined Mobile Networks (SDMN). But there are many benefits to Software Defined Mobile Networking, it also contributes to certain security problems like DDoS / DoS attacks, unauthorized access, and single data point error. To enhance the security and privacy of the SDMN control plane, this paper proposes a new SDMN-based “Simplified Byzantine Fault Tolerance (SBFT)” algorithm to send signals between controllers and also set up an analysis study to investigate SBFT's security and results. However, there are many benefits of Software Defined Mobile Networking (SDMN), and then it helps to resolve other security concerns including DDoS / DoS attacks, unauthorized access, and single point failure. Blockchain, an evolving revolutionary technology, will offer creative approaches to address security issues in Software-Defined Mobile networks in an efficient way. This study proposes an SDMN-based Simplified Byzantine Fault Tolerance (SBFT) for enhancing the mobile network's security and privacy

    Practical Consideration in using Pre-trained Convolutional Neural Network (CNN) for Finger Vein Biometric

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    Using a pre-trained Convolutional Neural Network (CNN) model for a practical biometric authentication system requires specific procedures for training and performance evaluation. There are two criteria for a practical biometric system studied in this paper. First, the system’s ability to handle identity theft or impersonation attacks. Second, the ability of the system to generate high authentication performance with minimal enrollment period. We propose the use of the Multiple Clip Contrast Limited Adaptive Histogram Equalization (MC-CLAHE) technique to process finger images before being trained by CNN. A pre-trained CNN model called AlexNet is used to extract features as well as classify the MC-CLAHE images. The authentication performance of the pre-trained AlexNet model has increased by a maximum of 30% when using this technique. To ensure that the pre-trained AlexNet model is evaluated based on its ability to prevent impersonation attacks, a procedure to generate the Receiver Operating Characteristics (ROC) curve is proposed. An offline procedure for training the pre-trained AlexNet model is also proposed in this paper. The purpose is to minimize the user enrollment period without compromising the authentication performance. In this paper, this procedure successfully reduces the enrollment time by up to 95% compared to using on-line training

    Application of Learning Software in Basic Education Students with Intellectual Disabilities: A Systematic Review of the Literature

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    The world is currently facing the problem of the lack of education in basic education for students with intellectual disabilities. Therefore, it is important to follow up and monitor the various learning software that helps to address this problem. The study carried out is a review of scientific literature, which gathers research and studies, through a search in several databases: Dialnet, EBSCO, ERIC, IEEE Xplore, Redalyc, SAGE, ScienceDirect, Scopus, and Wiley. Likewise, according to certain previously defined inclusion and exclusion criteria, a total of two hundred (200) scientific articles were systematized, showing the digital technologies that facilitate the control, follow-up, and monitoring of the education of these students

    Global Shared Learning Classroom Model: A Pedagogical Strategy for Sustainable Competencies Development in Higher Education

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    One of the most popular strategies to develop skills such as collaborative work, critical thinking, and problem-solving is the application of COIL (Collaborative Online International Learning) through a Global Classroom in which Professors from at least two universities from different countries and cultures develop a period known as "Global Classroom" in which, through the Challenge Based Learning didactic technique, they solve a real-life challenge but from a distance, using digital communication tools. In this study, 4-week global courses were held between groups from the Tecnológico de Monterrey in Mexico and groups from the UNIMINUTO University in Colombia. The challenges developed were related to two fundamental issues: 1) Management of natural resources and climate change and 2) Biomimetics. Students were able to develop skills to communicate effectively through online interaction with people from different cultures and disciplines and use technological tools that facilitate communication and distance learning in multicultural virtual environments. The use of Global Classroom in their respective areas of study is made available to those interested as a valuable tool to provide students with the opportunity to live sustainable international experiences and promote the Sustainable Development Goals. Current teaching models involve active and experiential learning and developing soft and hard skills. The Global Classroom experience is a tool that allowed continuity in the preparation of students during the COVID-19 pandemic

    WordTrek: A Digital Educational Material that Contributes to Vocabulary Learning in Higher Education

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    WordTrek: a digital educational material that contributes to vocabulary learning in higher education is a study whose objective was to determine the contribution that the integration of this educational resource makes to the process of learning vocabulary in English. A qualitative study of the descriptive scope with a case study design was conducted. The results indicated that the material increases students' motivation and interest in learning vocabulary, helps the development of vocabulary learning strategies and promotes collaborative work and autonomy. It is concluded that vocabulary learning is a complex process affected by different factors and it requires the design of methodologies and materials that promote its constant practice

    Proposing a Feature Selection Approach to Predict Learners' Performance in Virtual Learning Environments (VLEs)

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    Predicting students' success in virtual learning environments (VLEs) can help educational institutions improve their online services and provide efficient online learning content. However, this cannot be achieved without identifying the possible effective features that have a high influence on students' performance. This research aims at providing an early prediction approach to learners' achievement on VLEs. A new feature selection method called a Developed Sequential Feature Selection (D-SFS) was proposed to identify the most effective features that could highly enhance prediction accuracy. The findings suggest that the D-SFS method outperforms the original Sequential Forward Selection (SFS) approach. The prediction accuracy using the SFS method was 92.466% with seventeen features, whereas the proposed approach successfully predicted 92.518% of students' performance using seven features only. Such outcomes highlight the importance of implementing a feature selection method to enhance prediction accuracy, decrease the number of features, and reduce the model's time and execution complexity

    The Effectiveness of Seamless Mobile Assisted Real Training for Parents (SMART-P) Usage to Improve Parenting Knowledge and Children’s Cognitive Development

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    This study aims to develop and identify the effect of SMART-P training on parenting knowledge and children's cognitive development. This research is included as Mix Method research with an ADDIE development model and experimental quantitative research approach. The research method used is explanatory research with a non-equivalent control group design research involving the control and experimental classes. This research is carried out for three weeks, with the stages covering: analysis, design, development, research instrument development, implementation, and evaluation. The population in this study are 714 parents with children aged four years from posyandu/KB in five sub-districts of Malang City, with a research sample of 150 parents with children aged four years and six experts. Data collection techniques in this study used questionnaires and observation checklists. Data analysis in this study used descriptive percentage analysis and SPSS analysis. The results show that 1) SMART-P application is declared valid and acceptable to be implemented as a training medium, 2) a significant effect of parenting knowledge in parents before and after being given parenting training using SMART-P is identified, 3) a significant effect on the development cognitive development of children before and after parents re given care using SMART-P application is identified, 4) a significant difference in the effect of parenting knowledge on parents between the control group and the experimental group is shown, and 5) a significant difference in the effect on children's cognitive development between the control group and the experimental group is slightly identified. Therefore, parenting research using SMART-P needs to be carried out continuously so that parenting knowledge and children's cognitive development can be maximize

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