Online-Journals.org (International Association of Online Engineering)
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The Other Side of the Mobile World: Mobile Mobbing
Get PDFThe innovations brought by the digital age leave deep traces in the lives of individuals of all ages. With technological tools becoming an integral part of life, we are observing changes in the behaviors and reactions of individuals. Mobile technology pushes individuals to ease and drags them to loneliness in society. Individuals who withdraw into their shells are socializing on mobile platforms. The progress of science and technology from past to present has brought changes in society. Rapidly advancing technology shapes the lives of individuals in many areas. Digitalization has been efficient in the exposure of individuals to an insidious application of mobbing. In this context, the mobile world has come to the point that it threatens the living space of the individual with the content that is a design product it offers. In particular, the role of digital media in a way that interferes with every aspect of life has turned into digital despotism. In this study, which is considered a compilation, we used document analysis as a data collection tool. We obtained data by examining the documents related to the subject and handled it through descriptive analysis. In this context, while trying to examine the concept of "mobile mobbing", the other side of the digital world; we discussed digitalization, mobbing, digital violence, cyberbullying, digitalization, and its aspects on human life. As a result, we have reached a high relationship between mobile mobbing and its effect on individuals. Among these results, there are changes in their behaviors and habits, the digital world has turned into a covert mobbing tool, social media contents influence the attitudes of users through hidden messages, exerts pressure on their behavior by directing them, disturbing insults and threats, etc. are shared in communication styles, we have concluded that mobbing is experienced in a similar digital environment. In this context, we have listed suggestions and measures against mobile mobbing, with digital media users being more careful and conscious of techniques, respecting safe sharing with courtesy rules in their discourse and actions
Gait Recognition Using Convolutional Neural Network
Get PDFBiometrics are the body measurements and calculations related to individuals. Biometrics validation is used as a form of identification of individual. Gait recognition system is one of the most advanced technology that people have been working on for a while now that takes center stage in the field of biometrics. Compared to the other types of existing systems of biometric recognition such as fingerprint detection, iris-scanning systems etc., Gait Recognition system ensures no human intervention. This paper focuses on recognition based on a person’s gait. Every person has a distinct gait pattern that is unique to every other person. To train the model CASIA-B dataset has been used. The dataset includes 124 subjects where each sample has undergone Gait Energy Image extraction. Samples with clothing and baggage have been included which changes the silhouette of the person. Therefore, the model has been trained for a wider application where people wear different type of clothing and carry-ons. A Convolutional Neural Network consisting of 8 layers has been trained which performs well on both samples of dataset and an accuracy of 95.45% was obtained on dataset not involving layers of clothing and accuracy of 91.80% was obtained for the sample with clothing and baggage
Design, Implementation, and Evaluation of Online Bioinformatics and Neuroinformatics Labs
Get PDFIn recent years, online laboratories have become highly integrated into the educational process due to the development of distance learning tools as well as the pandemic. As part of a master's degree program in bioinformatics and neuroinformatics, in the academic years 2020-2021 and 2021-2022, the mandatory module "Laboratory Education (LE)" included 9 labs and a special session took place online. For the evaluation of the LE a survey was carried out among the participants on issues of satisfaction with each lab, the knowledge they acquired, the educational material given to them, with the facilitator per lab as well as their self-reported learning. 73 postgraduate students participated in the survey. According to the results, the overall satisfaction from each laboratory ranged from 3.94 to 4.49/5.00. Furthermore, there is a variety of values in self-reported learning ranging from 23 to 50/50. Finally, although 7 out of 10 students say they are satisfied with the distance structure of LE, 8 out of 10 say they prefer LE to be carried out with a physical presence in the labs
Essential Factors to Improve Student Performance Using an E-Learning Model: Review Study
Get PDFThe e-learning system is one of the most common methods for improving student performance and the ongoing goal of using e-learning in higher education. The most popular kind of e-learning system is a big one that is used at the college level, including Moodle, MOOCs, and e-learning systems. A rigorous review of various e-learning tools that can be used to raise students' performance is presented in this paper. Based on a survey of the literature, a comparison was established between the key elements employed in e-learning. The method used was to extract the common elements used in more than one popular model, then to connect these factors to e-learning. In order to create a better model with full element constraints, this paper also includes extracting causal links between these aspects. The analysis's finding is that the most recent models accepted for use in raising student performance are TAM2, TAM3, and ECT. This study reveals the framework used to highlights the easy and popular factors according to the updated related studies.
Clinical Decision Support Systems’ Usage Continuance Intentions by Health Care Providers in Jordan: Toward an Integrated Model
Get PDFHealth organizations in Jordan has just started adopting a nationwide health information system [Hakeem] including useful tools such as the clinical decision support system [CDSS]. Adopting CDSS by health care providers is not mandatory; However, the fruitful results of these tools can only be gained after adopted by the health care providers, and when they have the intentions to continue use it in the future.
The current study proposes a model that integrates factors from tow important theories of technology acceptance; Technology Acceptance Model [TAM], and Information Systems Success Model [ISSM] to predict the health care providers’ usage continuance intentions of CDSS in future. The study also checks if gender, experience, and CDSS alerts’ frequency has any moderation effects on the proposed research model. To assess the research model, data were collected from 218 participants via an online survey.
The proposed model has strongly predicted the CDSS usage continuance intentions [R2=0.486]. However, the moderators; gender, experience, and CDSS alerts’ frequency, partially moderate the proposed relationships. Conclusions: This research extends the growing literature on health information systems' adoption by building an integrated model that integrates factors from two well-established technology acceptance models, TAM and ISSM. The findings proved a significant impact of ISSM's factors [system quality, information quality, and satisfaction] on CDSS usage continuance intentions
The Perception by University Students of the Use of ChatGPT in Education
Get PDFChatGPT, a generative language model recently created by OpenAI, has drawn a lot of criticism from people all around the world. ChatGPT illustrates both potential opportunities and challenges in education. This study aims to investigate how university students perceive using ChatGPT for learning, including benefits, barriers, and potential solutions. To determine how students felt about using ChatGPT in their learning, a questionnaire was distributed to 200 students via an online survey, and 30 students participated in semi-structured interviews. The research results showed that, in general, students had a favorable opinion of ChatGPT’s application. The benefits of ChatGPT, according to students, included saving time, providing information in various areas, providing personalized tutoring and feedback, and illuminating ideas in writing. Also, several barriers to using ChatGPT were recognized, and some solutions were suggested for improvement of using ChatGPT in education. The most concerning issues for students while using ChatGPT were inability to assess the quality and reliability of sources, inability to cite sources accurately, and inability to replace words and use idioms accurately. To address these concerns, some potential solutions can be implemented; for example, verifying ChatGPT’s responses with reliable sources; using ChatGPT as a reference source or a consultant tool; providing guidelines for use; and promoting academic integrity to ensure ethical uses of ChatGPT in an academic context
Towards an Intelligent Model for Evaluating Serious Games
Get PDFSerious games are effective educational tools used in higher education to provide practical learning opportunities to students. However, few research works have focused on evaluating serious games as a project for developing a tool dedicated to use in a formative context. This document proposes an intelligent evaluation model that not only allows for the evaluation of serious games but also facilitates their integration into teaching practice. The model is designed around four dimensions, and their measurement criteria are well defined. Fuzzy decision-making methods were used to weight the criteria, and supervised machine-learning algorithms were considered to minimize the evaluator’s bias. The proposed model provides a more objective and consistent solution for evaluating serious games, reducing the impact of evaluators’ biases and subjective preferences on the weightings of the different evaluation dimensions. The multi-output support vector regression (M-SVR) model can be used flexibly and adapted to different contexts and applications, offering a more effective and reliable solution for evaluating serious games
Refining the Process of Credit Transfer of MOOCs with the Utilization of ChatGPT and Blockchain
Get PDFTransferring credits between universities worldwide is challenging and time consuming, and usually follows strict and complicated administrative guidelines. Students may encounter severe difficulties during such a process, primarily if they rely on those credits to transfer to another school or graduate on time. Universities may also find it challenging to compare massive online open courses (MOOCs) to courses offered in their traditional programs due to the need for more uniformity in course content and academic rigor. Administrators and professors may struggle to determine whether students have acquired the knowledge and skills necessary for credit transfer through the MOOC. The power of ChatGPT (Generative Pre-trained Transformer) may be employed in identifying and matching courses to MOOCs. At the same time, blockchain technology may provide a speedy and smooth process for credit transfer. A pilot structure that enables students to sign up for an MOOC and determine course equivalency without the challenges typically connected with credit-transfer issues or the recognition of courses taught outside their university is presented, piloted, and tested, significantly impacting the entire credit-transfer process
Assessment of Biology Teacher Candidates' Attitudes and Competencies Toward Virtual Reality Applications
Get PDFThe purpose of this research is to evaluate the attitudes and competencies of biology teacher candidates regarding virtual reality applications based on scientific and methodological developments for the improvement of the visualization system in biology. In this study, the survey model, which is one of the quantitative research methods, was used. The sample group of the research consists of 244 biology teacher candidates studying at various universities in Kazakhstan in the 2022–2023 academic year. Research data were collected with a virtual reality attitude and competence scale developed by the researchers. After exploratory and confirmatory factor analyses and construct validity studies were carried out, reliability analyses of the scale were made to get the final form of the scale, and Cronbach’s alpha reliability coefficient was calculated. As a result of the research, it was determined that the attitudes of pre-service biology teachers towards virtual reality were high and their competencies related to virtual reality were low. This suggests that biology teacher candidates have a medium level of attitude and competence in the virtual reality attitude and competence scale. In line with the findings obtained from the research, suggestions were made to improve the virtual reality attitudes and competencies of teacher candidates
Analysis and Advice on Employment Forecasts for Graduates Taking into Account the Characteristics of Employment Mobility
Get PDFIn the context of accelerating globalization, the emerging knowledge economy and rapid technological development have brought unprecedented opportunities and challenges to the employment choices of graduates. The employment mobility of graduates has been constantly increasing, and their employment decisions are no longer limited to majors or regions. Instead, graduates can consider various factors more comprehensively, including industrial and urban development, compensation and benefits, etc. This study attempted to understand the characteristics of graduate employment mobility from a more macro perspective, by deeply analyzing the spatial correlation measure and the city-industry integration effect. Then, detailed research and prediction were conducted on the mobility characteristics based on the dynamic decomposition prediction mechanism, which provided not only a more scientific and accurate theoretical basis for graduate employment prediction but also scientific decision-making references for policy makers and educational institutions when formulating relevant policies and educational training plans. The research results contribute to promoting close city-industry integration and have important reference value for promoting urban economic development and optimizing urban industrial structure