Online-Journals.org (International Association of Online Engineering)
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Enhancing Cognitive Performance and Monitoring through a Mobile App: Insights from the Rodi Study
Get PDFThe prevalence of neurocognitive disorders has led to increased interest in mobile health applications (mHealth apps) for detection and training. However, there’s a need for apps that integrate comprehensive cognitive training, assessment, and monitoring in personalized contexts. The RODI app was meticulously developed with the objective of catering to individuals with deficits as well as healthy adults. In this study, 11 participants without diagnosed impairments used the app twice weekly for eight weeks. Results show a consistent enhancement in cognitive performance within the app over time. Notably, a discernible divergence is observed, with the rate of improvement appearing to be comparatively slower in the younger age group in contrast to their older counterparts. Furthermore, the study assesses the reliability of the application using the intraclass correlation coefficient (ICC), confirming its consistent performance across repeated administrations. Finally, the app’s capacity to monitor participants’ cognitive status across various domains is investigated, unveiling controlled variations that indicate foreseeable outcomes within defined parameters. These findings underscore RODI’s potential for cognitive enhancement and monitoring, offering insights into user needs and the broader significance of mobile app interventions for cognitive well-being and future research in this field
Artificial Intelligence System in Aid of Pedagogical Engineering for Knowledge Assessment on MOOC Platforms: Open EdX and Moodle
Get PDFThe aim of this research is to provide a novel educational model with the goal of reducing the expenses associated with manual question production and meeting the demand for a continual supply of new questions on MOOC platforms such as Moodle or Open EDX. We considered integrating machine-learning methods with natural language processing in order to increase the number and validity of assessing questions. To accomplish this, we developed a system that generates multilingual questions automatically.
Various kinds of evaluation were conducted with two factors in mind: evaluating MOOC learners' competency and the similarity of the generated questions to those created by humans. The first evaluation is based on subjective judgment by three MOOC creators, while the second is based on replies from MOOC participants on machine-generated and human-created questions. Both evaluations revealed that the machine-generated questions performed on par with the human-created questions in terms of evaluating skills and similarity. Moreover, the results demonstrate that most of the produced questions (up to 82 percent) enhance e-assessment when the new suggested technology is used
The Influence of Blockchain Implementation for Virtual Meetings at Home Learning Indonesia
Get PDFOnline learning is currently one of the popular learning concepts in schools. The results of online learning are still not as expected. This is due to the lack of reliability of teachers in mastering learning platforms and the lack of virtual meetings between teachers and students. Home Learning Indonesia (HLI) is a Learning Management System with virtual meetings and blockchain technology is an alternative to solving this problem. This research utilizes blockchain technology to minimize the shortcomings of existing virtual meeting platforms. In this study, testing HLI virtual meetings and several other platforms. The results of the HLI Virtual meetings test when the requests given are getting higher, and the throughput is decreasing following the number of requests given. These results can show that the use of blockchain in virtual meetings can increase network stability in its use
Influences of Online Teaching Ability of University Teachers on Learning Engagement of Learners
Get PDFAbstract—Due to advances in education and informatics, online learning is now becoming a direction for teaching reform in universities. This in turn put learning engagement at the forefront of educational literature: online teaching activity has become a key component of teaching due to its strong influence on learning engagement and outcomes. This study analyzes the influences of teachers’ online teaching ability (teaching design ability, resource development ability, teaching implementation ability, teaching evaluation ability, teaching reflection ability) on learning engagement across different majors and grade-levels. Research results showed abilities on teaching design, teaching implementation, teaching evaluation, and teaching reflection have significantly positive influences on learning engagement. These results provide important references in further exploring influencing mechanism of teaching activities on learning engagement, improve online teaching ability of teachers, and increase online learning engagement of students
A New Learning Resource Recommendation Method for Improving the Efficiency of Students' Online Independent Learning
Get PDFIf the learning resource recommendation method fully considers the efficiency improvement of college students' online independent learning, it can save college students' learning energy and improve their learning quality, but also can promote students to develop such learning attitudes as active participation, willingness to explore and frequent practices. Therefore, this article studies the learning resource recommendation method for improving the efficiency of college students' online independent learning. This article quantitatively evaluates the learning efficiency of college students in the process of online independent learning, and takes the evaluation results as a reference for learning resource recommendation methods. The capsule network combined with self-attention routing algorithm is used to represent the various demands of college students' online independent learning with multiple vectors, and the sequence information layer based on Transformer model is set up to construct the learning resource recommendation model. Experimental results verify the effectiveness of the model
Influence Mechanism of Students' Learning Enthusiasm Based on Educational Big Data
Get PDFMining a large number of students' behavior data can analyze the differences of students' behavior characteristics. Mining based on students' behavior data can explore the influence mechanism of students' learning enthusiasm, and can provide reference opinions and suggestions for improving students' positive emotions in learning and helping students with poor grades to achieve academic success. The data collected and conclusions obtained by the existing research are not accurate and reliable, and other personality characteristics of students are not fully considered. Therefore, this article studies the influence mechanism of students' learning enthusiasm based on educational big data. It studies the performance of students with good learning enthusiasm in social relations, and mines students’ social intercourse at school based on association rules. It analyzes the regularity of students' behavior and their diligence, and realizes the characterization of students' sustainability and enthusiasm in learning. Combining the differences of behavior characteristics between students with and without learning enthusiasm, this article constructs a learning enthusiasm recognition model and compares it by classification. Experimental results verify the effectiveness of the model
Personalized Combination Recommendation of Short Video Online Learning Resources
Get PDFShort video online learning resources are widely used in online learning classes because of their strong display ability, popularity and easiness to understand and concise content. The existing learning resource recommendation methods usually ignore the local time series dependence information and possible periodic changes of students' historic online learning rules, and are not suitable for the recommendation scenarios of short video online learning resources. Therefore, this article studies the personalized combination recommendation method of short video online learning resources. Preprocessing of short video online learning resources is carried out, including content feature analysis and candidate recommendation list generation. Then, based on the initial recommendation list, a combination recommendation model of short video online learning resources based on information enhancement and overlapping information of knowledge points is proposed, and the construction ideas of the model are described in detail. Experimental results verify the effectiveness of the model
Concepts of Experiential Learning in Digital Collaboration: New Perspectives for the Higher Education Sector
Get PDFReflecting on the manifold interrelations of experience and education, this paper focuses on concepts of experiential learning in digital collaboration in the higher education sector. Therefore, evaluation findings from a digital project-based course in the higher education sector are discussed with a primary focus on students’ experiences in collaborative digital settings. It thereby discusses the results of a qualitative study that concentrates on the students’ experiences within the course and the collaborative projects. The study uses digital qualitative interviews for the evaluation research. By doing so, the study investigates and reflects the quality of students’ experiences and their possible influences on learning. It also discusses the question of how these experiences can be constructively implemented to improve future digital or blended-learning scenarios in the higher education sector. On that basis, possible implications for concepts of experiential learning in digital collaboration are discussed
Cyber Security for Medical Image Encryption using Circular Blockchain Technology Based on Modify DES Algorithm
Get PDFRecently, with the requirement for protecting the privacy of images transferred over the internet and media networks. The need to protect these images from hacking by unauthorized persons and from the manipulation of these images has become very important in this research, Block chain technology was used for its importance in cybersecurity. To maintain the confidentiality of the patient's medical data, as a result, to solve this problem requires increasing the strength of the key used in the encryption process, which is responsible for ensuring the security of the image .In this paper, it is proposed to use block chain technology with the Data Encryption Standard (DES) algorithm for the purpose of increasing the degree of security of the transmitted images by enhancing the key during the process of encrypting the transmitted images as well as increasing the degree of authentication between the sender and receiver. Experimental outcomes manifested that the security of encryption image that gained via the suggested algorithm is higher, performing the goal of protecting the information of medical image, as presented by the results obtained in Entropy, MSE, and PSNR
Augmented Reality Awareness and Latest Applications in Education: A Review
Get PDFSeveral advances in technology have touched the educational sector, where improvements and enhancements are always a surge for innovative learning. Augmented Reality (AR) is considered an efficient and promising technology capable of enhancing the educational sector. AR is a visualization technology that allows human interaction by providing users with a perception of reality using virtual information. In other words, AR adds to the existing real-world environment some extra virtual information generated by computer techniques that can enhance the overall experience. This promising technology can be applied in different sectors such as education, healthcare, banks, tourism, etc. Despite the great work available in the literature about this topic, deep insights and extensive research are still needed before the actual implementation in the real world. The aim of this work is to highlight the importance of AR in improving the educational sector and increase awareness of using such an approach. A review is conducted to prove the validity of AR in increasing learning outcomes, students’ motivation, and engagement in classrooms, as well as improving the understanding level. Several papers were analyzed based on different application areas under various interdisciplinary databases. As a result, the papers were collected in a table-based format to provide researchers with better and easier insights on how to improve the use of AR in education before real implementation. This study helped in highlighting potential future work, discussing limitations, advantages, disadvantages, and the latest advances in this technology