Online-Journals.org (International Association of Online Engineering)
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AFARM: Anxiety-Free Autonomous Routing Model for Electric Vehicles with Dynamic Route Preferences
Get PDFEnergy and environmental concerns have fostered the era of electric vehicles (EVs) to take over and be welcomed more than ever. Fuel-powered vehicles are still predominant; however, this trend appears to be changing sooner than we might expect. Countries in Europe, Asia, and many states in America have already made the decision to transition to a fully EV industry in the next few years. This looks promising; however, drivers still have concerns about the battery mileage of such vehicles and the anxiety that such driving experiences! Indeed, driving with the probability of having insufficient battery charge that may be involved in guaranteeing the delivery to the trip destination imposes a level of anxiety on the vehicle drivers. Therefore, for an alternative to traditional fuel-powered vehicles to be convincing, there needs to be sufficient coverage of charging stations to serve cities in the same way that fuel stations serve traditional vehicles. The current navigation models select routes based solely on distance and traffic metrics, without taking into account the coverage of fuel service stations that these routes may offer. This assumption is made under the belief that all routes are adequately covered. This might be true for fuel-powered vehicles, but not for EVs. Hence, in this work, we are presenting AFARM, a routing model that enables a smart navigation system specifically designed for EVs. This model routes the EVs via paths that are lined with charging stations that align with the EV’s current charge requirements. Different from the other models proposed in the literature, AFARM is autonomous in the sense that it determines navigation paths for each vehicle based on its make, model, and current battery status. Moreover, it employs Dijkstra’s algorithm to accommodate varying least-cost navigation preferences, ranging from shortest-distance routes to routes with the shortest trip time and routes with maximum residual battery capacities as well. According to the EV driver’s preference, AFARM checks the set of candidate paths at the source point and selects the appropriate path for the vehicle to drive based on its current status. Consequently, AFARM provides an anxiety-free navigation model that allows for a reliable and environmentally friendly driving experience, promoting this alternative mode of transportation
Masked Face Recognition Using Bag of CNN: Robust Local Feature Extraction and Region of Interest
Get PDFFace recognition remains a crucial issue in computer vision with various applications. This paper introduces an adapted method to tackle the challenges posed by mask-wearing during the COVID-19 pandemic. We propose modifications to the bag of convolutional neural networks (BoCNN) framework, which combines CNNs and the bag of words (BoW) approach. Our main contribution is customizing the BoCNN algorithm to identify faces with masks by focusing on the visible facial regions, particularly the eyes and eyebrows. Facial landmarks are detected, and the region of interest (ROI) is extracted using techniques such as Media Pipe. A pre-trained CNN is then applied to sections within the ROI, enabling robust feature extraction that captures intricate details such as lighting variations and facial expressions while reducing the impact of mask occlusions. The extracted features are pooled to create a comprehensive representation for recognition. Extensive experiments on the labeled faces in the wild (LFW) dataset, including masked face images, demonstrate the superiority of our adapted BoCNN approach over traditional BoW and deep feature extraction methods, especially accurately recognizing masked faces. Additionally, we assess the generalizability of our method across multiple datasets and discuss potential limitations and future research directions. The proposed BoCNN-based solution proves effective in recognizing masked faces, making it highly relevant for applications in security, human-computer interaction, and various other domains affected by the COVID-19 pandemic
Digital Competencies in Higher Education Students: Analysis of Attitude, Knowledge, and Use of ICT
Get PDFIn the contemporary era, the convergence between education and digital technology demands an ongoing revision of pedagogical strategies, focusing on placing the student as the protagonist of the learning process. This study aimed to analyse the digital competencies of students from the Higher Technological Institute of Spain (ISTE) in Ecuador, considering their attitude, knowledge, and use of information and communication technologies (ICT), as well as how sociodemographic variables affect this context. Using a non-experimental, descriptive, cross-sectional research design with a correlational approach to variables, the ACUTIC questionnaire was applied to a sample of 156 ISTE students. The data was analysed with R Commander 4.3.1, first performing a descriptive analysis exploring trends in variables such as age and gender. Furthermore, the use of parametric and non-parametric tests depends on the data distribution. The results confirmed that there are no gender differences in attitude, knowledge, or use of these technologies (p-value > 0.05). While age does not correlate with ICT use (p = 0.1661) or attitude (p = 0.1173), it does relate to knowledge of them (p = 0.0182) and to the possession of computers and smartphones (p < 0.001 and p = 0.0059, respectively). There is a robust correlation between ICT knowledge and use (p-value < 2.2e-16). Geographical location corresponds with stable internet access (p = 0.0000) and computer ownership (p = 0.0028). In conclusion, the digital competencies of ISTE students in Ecuador are influenced by multiple sociodemographic factors and represent a crucial aspect of adapting to the changes and demands of education
Improving Chemical Literacy Skills: Integrated Socio-Scientific Issues Content in Augmented Reality Mobile
Get PDFThis research aims to develop socio-scientific issues (SSI) content on chemical bonding material and is used to measure students’ chemical literacy abilities. Currently, the chemistry literacy level of high school students is still relatively low, so a process of reconstructing the structure of chemistry learning content that is linked to real-life contexts is needed. One way to develop this material is to include SSI content in learning. SSI content includes articles containing reading and images as augmented reality (AR) markers, which will later be linked to AR technology on smartphones so that students’ chemical literacy can increase. This study uses the R&D method with the ADDIE design. Research instruments used include material validation, media validation, student response tests, and chemical literacy pre- and post-test instruments. The results of SSI content validation have been declared feasible for use in learning (91.58% material validation; 91.33% media validation; 91.57% student responses). The implementation results show that SSI content has a significantly positive effect on students’ level of chemical literacy skills. Student responses also show that the SSI content developed is easy to understand and motivates students to learn
Alternative Framework in Electrochemistry among Secondary Schools Students in Johor, Malaysia
Get PDFThe presence of an alternative framework in the students’ minds acts as the main hindrance to students exhibiting profound understanding of scientific concepts, which in turn promotes the application of scientific knowledge to solve daily life context problems. This research is done in two phases. In the first phase, the research aims to identify the alternative framework among students on the concept of electrochemistry, and in the second phase, it develops an instructional module for secondary school students on the concept of electrochemistry by using the five-phase Needham constructivism model approach to overcome the alternative framework that exists in the students’ minds. In this paper, however, only the findings of the first phase are reported. The instrument used for this study is the electrochemistry test developed based on previous research and validated by experts. This paper and pencil test is used in the first phase of the research as a data collection tool. This research adapted a quantitative research design. The data from the electrochemistry test is analyzed using statistical packages for social sciences (SPSS) 20.0 to get the descriptive data as findings of the first phase of the study. The findings of the first phase of this study indicate that the conceptualization level of students in electrochemistry is poor. Multiple alternative frameworks among students were identified from the analysis of the students’ responses. This study contributed to existing literature by identifying the alternative frameworks present precisely in electrochemistry. The study recommends incorporating mobile technologies in the data collection process and in developing online instructional modules to be more accessible to educators throughout the country and to steer the chemistry education world to a higher level in the Malaysian education system. Enlightening the alternative framework existent in the students’ knowledge schemata immensely facilitates educators worldwide in planning their instructional approach in the classroom for this specific scientific concept
The Use of Social Media to Enhance Critical Thinking in Online Learning Among Higher Education Students
Get PDFIn higher education, fostering critical thinking skills is crucial for students because they are among the most sought-after employability skills. Recognizing the importance of cultivating critical thinking skills among online learners, educators are exploring innovative strategies to harness the power of social media platforms to enhance students’ critical thinking abilities. Therefore, this study investigates these issues using survey methods on final-year undergraduate students from two public universities. A total of 128 students who had experiences in learning online during the pandemic have been randomly chosen. The survey includes two constructs related to social media and critical thinking during online learning. The findings show that majority students agree with the utilization of social media for their online classes. They also agree that social media can serve as a platform to discuss and collaborate for postclass sessions. Furthermore, the regression analysis illustrates demographic factors such as gender, age, and university program that significantly predicted the perception of social media for teaching and learning. However, these factors were not found to be significant predictors of the activities applied in social media to enhance students’ critical thinking. Therefore, this study conclusively demonstrates that students’ critical thinking can be elevated through the integration of social media into online learning. However, it is imperative that learning activities are meticulously designed to ensure the effectiveness of the learning process
Development of PBL-Based GLOWASEA (Global Warming on the Sea) Educational Media to Train Critical Thinking Skills on the Topic of Global Warming
Get PDFThe low critical thinking skills of Indonesian students in the 21st century indicate the necessity of training these skills to prepare for a future replete with challenges. Teachers need to innovate learning materials that foster critical thinking skills. This study aims to develop a PBL-based GLOWASEA Edukit media product that is valid, effective, and practical for enhancing students’ critical thinking skills. This developmental research was conducted following the ADDIE model, which comprises five stages: analysis, design, development, implementation, and evaluation. Qualitative data were obtained through comments and suggestions for improvement in questionnaires and interviews. Quantitative data were obtained from the scores on the validation test, practicality test, questions’ validity and reliability test, and pretest and post-test score data. Data were analyzed using percentage analysis and qualitative description. Successively, the results of media and material validation and practicality were 82.61%, 91.17%, and 90.62%. The effectiveness of Edukit media is calculated using the N-Gain formula, resulting in an average score of 0.33, which meets moderate criteria. It can be concluded that the GLOWASEA Edukit media produced is valid, effective, and practical for training students’ critical thinking skills
Effectiveness of Virtual Labs for Physics Learning in Moroccan Secondary Schools
Get PDFThe teaching of physical sciences primarily relies on the use of experimental activities to explain the phenomena and physical concepts taught theoretically in class. Nevertheless, this conventional approach faces various challenges and problems, which limit its ability to achieve the different pedagogical objectives set by teachers. In this study, we evaluated the effectiveness of virtual laboratories (“VLABs”) as an alternative tool to traditional practices for teaching physics concepts in Moroccan secondary schools. The methodology followed in this study is quantitative and based on two questionnaires. The first is intended for teachers to evaluate the experimental activities on VLABs based on a socio-technical and pedagogical heuristic study and to verify their conformity with the expectations and characteristics of each type of learner according to the Felder-Silverman learning style preferences. The second was administered in the form of an evaluation to compare the performance of the control group with the experimental group that integrated the opportunities offered by the VLAB LABSTER. The results show that VLABs are not only comparable to conventional experimental activities in terms of applicability, ease of use, and effectiveness in achieving the learning objectives for which they were initially designated but surpass them in terms of performance, as evidenced by the significant improvement of the mean obtained by the group that integrated the experimental activities on the VLAB. Thus, VLABs can be used not only as an alternative to traditional experimental activities in distance learning but also as a viable option for potential adoption even in traditional face-to-face physics instruction
The Effect of Modeling Learning, Audio-Visual Media, and Intellectuals on Pencak Silat Learning Outcomes
Get PDFThis study analyzed the influence of modeling learning, audio-visual media, and intellectuals on pencak silat learning outcomes. The study employed an experimental approach with a 2 × 2 factorial design. It involved 40 university students who were enrolled in the sports science program. The study began with the preparation of the study administration. After that, subjects were put into two major groups based on their intellectual test scores. Based on the median, 10 people were taken at the top of the median, and the other 10 people were taken at the bottom of the median. Every 10 subjects were divided again into two smaller groups to create four small groups of five people in each group. Then, these groups were put into cells by drawing lots. The first major group contained two smaller groups of subjects with high and low intellectual abilities. These groups were given modeling lessons. Similarly, the second major group comprised subjects with high and low intellectual abilities. Only these subjects were given audio-visual media learning. The collected data were analyzed using descriptive statistics. All data from this study was processed using the SPSS application. To determine differences in pencak silat learning outcomes in each group, the data obtained from the test and measurement results were analyzed using ANOVA. The results reported that modeling learning and the use of audio-visual media make a difference in pencak silat learning outcomes for students with high and low intellectual abilities. This study also noted that direct learning modeling provides better results than using audio-visual media. This is because when using modeling learning, students can immediately observe and practice what is demonstrated by a model, so the material and practice can be immediately accepted
Mobile Health Service Adoption: Reducing the Digital Gap and Age's Moderating Influence
Get PDFIn the past few years, mobile health services (MHS)—a growing topic in the healthcare sector—have received increasing attention. Technologies related to mobile health, or m-health, have several advantages for people, businesses, and medical professionals. Indeed, using m-health can help older people become more proactive patients and lessen the strain on health systems and financial resources. However, the potentially revolutionary impact of m-health is constrained since a large number of senior citizens oppose its adoption, which creates an age-based digital divide. Few studies have examined how public consumers of MHS adopt MHS, even though prior study on this topic is very substantial. We discover that user attitudes towards MHS are positively impacted by perceived benefits and usefulness, perceived barriers, and external cues. Perceived service availability also has a major impact on perceived benefits and usefulness, which, when combined with attitude, directly increases intention. Additionally, we discover that the MHS’s utilization intent has moderating effects. The final section discusses the implications for mobile health marketing. The results indicate that perceived ease of use, vulnerability, and severity are more significant factors for middle-aged and older users to use MHS. The moderator analysis confirmed that different age groups have specific moderating effects on the adoption of mobile health services