Online-Journals.org (International Association of Online Engineering)
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Performance Evaluation of the Application of Smart Flipped Classroom in Classroom Guided Teaching
Get PDFThe emergence of the smart flipped classroom has since changed the traditional teaching mode in China: students are stimulated to independently learn in advance, and teachers provide classroom guidance according to the problems encountered by students, help students deal with difficult knowledge, and guide them with homework to improve multidimensional learning performance. These advantages lead to various proposals for its application and performance evaluation in classroom-guided teaching. By collecting teaching-related data from students in both the smart flipped and the traditional teaching classroom, the performance of the smart flipped classroom in the classroom-guided teaching was evaluated from three aspects: online learning performance, examination results, and after-school homework results. Results indicate there is a significant difference between students’ learning performance before and after application of the mode. The smart flipped classroom teaching mode improves students’ academic performance along with the significant difference between students’ academic performance and traditional teaching mode. The mode effectively mobilizes students’ learning initiative and improves their learning satisfaction. Conclusions herein play a certain guiding role in changing mainstream teaching modes and improving students’ learning concepts
AsPeer: Method to Self and Peer Assessment in Large Online Design Classes
Get PDFPeer and self-assessment open opportunities to scale assessments in online classrooms. This article reports our experiences of using AsPeer- peer assessment system, with two iterations of a university online class. We observed that peer grades highly correlated with staff assigned grades. It was recorded that, the peer grade of all student submissions within the range of instructor grade averaged to 21.0% and that within the next 2 ranges was 49.0%. We performed three experiments to improve accuracy of peer grading. First, we observed grading bias and introduced a data driven feedback mechanism to inform peers of it. Students aided by feedback were mindful and performed grading with better accuracy. Second, we observed that the rubric lacked efficiency in translating intent to students. Simplified guiding questions improved accuracy in assessment by 89% of students. Third, we encouraged peers to provide personalized qualitative feedback along with rating. We provided them with feedback snippets that addressed common issues. 64% of students responded that the snippets helped them to critically look at submissions before rating
Web Technologies in the Development of Computational Thinking of Students with Mental Disabilities
Get PDFComputational thinking is an important and necessary part of a modern person’s thinking. It has been proven that the development of this way of thinking in students with mental disabilities allows them to navigate quickly in the modern world, identify problems and create complex solutions. Online schooling during the COVID-19 pandemic demonstrated the possibilities of the usage of web technologies in the education of children with mental disabilities. This study aims to evaluate the impact of web technologies on the development of computational thinking of students with mental disorders. The experiment involved 14 students aged 8-12 and 4 tutors. For 8 weeks children were trained in computational thinking and computer science. Assessment of computational thinking was performed with cCT-test by El-Hamamsi et al. before and after the experiment. After conducting computer science lessons using web technologies the respondents showed a higher level of computational thinking (M=15,7, SD=3,69), compared to the results of preliminary testing (M=5,93, SD=2,3). Web technologies can significantly increase the effectiveness of inclusive pedagogy, which establishes the importance of integrating web technologies into the teaching system in inclusive classes of general education schools
Influence of Formative Online Teaching Evaluation on Autonomous Learning Ability of Students Majoring in English for Science and Technology
Get PDFThe rapid development of information technology has accelerated the process of educational informatization, the level of which has also been significantly elevated. New teaching informatization modes, such as mobile terminal and online learning, can meet learners’ trans-time-and-space and personalized learning needs. As the main form of teaching evaluation, formative evaluation can provide students with timely and efficient feedback, change teachers’ teaching progress, effectively improve the teaching effect and students’ learning effect, and comprehensively promote students’ autonomous learning ability. In this study, undergraduate students majoring in English for Science and Technology (EST) in five universities of science and engineering in Xi'an city of China, were chosen as research object to explore the influence of formative evaluation (self-evaluation, peer review, and teacher evaluation) on students’ autonomous learning ability in online learning. Thereafter, the moderating effect of self-efficacy on the influence of formative evaluation on students’ autonomous learning ability was analyzed. Results showed that the Cronbach’s α coefficient value of the questionnaire designed in this study was 0.852 and the KMO value was 0.831, indicating its excellent reliability and validity. Evidently, self-evaluation and teacher evaluation can promote the improvement of autonomous learning ability. Self-efficacy plays a moderating role in the promoting effect of formative evaluation on autonomous learning ability. The effect of formative evaluation on autonomous learning ability varies significantly with its frequency of use. Conclusions in this study are of significant reference values for improving the teaching quality of EST through formative evaluation, enhancing the enthusiasm and motivation of college students, and improving the online classroom evaluation system
Quality Evaluation of Innovation and Entrepreneurship Education Based on Modelling of Students’ Behavior Sequences
Get PDFIn the Innovation and Entrepreneurship (I&E) education of some higher vocational colleges, there’s a common problem: serious disconnection between professional education and practical education, which may result in poor quality of I&E education. With the help of I&E education quality evaluation, we can figure out the distribution and utilization of education resources, discover and solve problems during the teaching process in time, and optimize and adjust teaching content and methods in a targeted manner. Student behavior analysis can reveal the actual needs and questions encountered by students during I&E education, thereby attaining more pertinent and pragmatic evaluation results. For this reason, this paper aims to study the I&E education quality evaluation by means of modelling students’ behavior sequences. At first, a student I&E behavior sequence feature extraction module was created based on attention mechanism, and the student I&E ability level feature extraction layer and student I&E ability level feature evolution layer contained in the module structure were introduced in detail. Then, the data sources of I&E education quality evaluation based on students’ I&E behavior analysis were given, the I&E behavior sequences of students were modeled based on the single-sequence first-order linear differential equation model GM(1,1), and the established model was applied to I&E education quality evaluation. At last, experimental results verified the validity and accuracy of the proposed method
A Proposal of a Scenario to Integrate Active Pedagogical Approaches to Teach Scratch in Primary School
Get PDFIn the digital age, people are increasingly connected and frequently use technology in their daily lives. Elementary school students are no exception. They show a great interest in the digital world and especially in games. Scratch gives these students the opportunity to create their own games instead of being passive consumers of these programs. Also, it is a software that allows the development of computational thinking. Thus, to learn programming using Scratch allows students to be actors in their learning which increases their capacity to solve problems. The objective of this work is to propose a pedagogical scenario to teach Scratch to primary school students based on active pedagogical approaches that put the learner at the centre of the teaching-learning process. Once challenged by a problem, students propose solutions. Scratch gives the opportunity to verify the accuracy of the proposed solutions. Accordingly, students try to detect the source of the error and rectify the instructions of their programs. The class, grouped in trios, evaluates the proposed solutions by adopting the "trial and error" method until the desired result is obtained. Therefore, the scenario proposed in this work combines active pedagogical approaches while taking into consideration the nature of the subject taught. Indeed, it aims to make the students fully involved in their learning with the "trial and error" method and to develop their capacities of investigation and problem-solving in a motivating and collaborative environment
A QR Code Used for Personal Information Based On Multi-Layer Encryption System
Get PDFProtecting and concealing sensitive data in the modern world is challenging. Due to insufficient protection and privacy, it is feasible for critical information to be fabricated. This led to a significant financial loss for someone. The intended recipient must be trusted with sensitive information and be able to independently authenticate the accuracy of the information by independently checking the specifics. There are several driving the rise in QR codes used for information transmission. Due to their enormous capacity for storing information, QR codes are vital for dissemination. However, most currently deployed QR code solutions employ insecure data formats and never employ encryption. Secure QR Code is data protection and data concealing available technology. The Quick Response (QR) code is widely used and accessible without extensive technical training. Now, the user data stored in a QR code is effectively public knowledge and occasionally even illegally used. To address the abovementioned issues, this study's authors propose a novel QR code encryption system. Using the image's mathematical processing method, we may apply the equivalence class principle to the ordered equations of the two-dimensional code, producing the desired cryptographic result. This method exploits the unique visual properties of the QR code. Only a QR code reader can decode the code's useful information, which is too complex for standard reading methods. It will be utilised to address issues in speedy business client data protection Security, commodity anticounterfeiting, and bicycle sharing QR codes
Proposed Hybrid Secured Method to Protect Against DDOS in n Vehicular Adhoc Network (VANET)
Get PDFSecurity and safety are critical concerns in Vehicular Adhoc Networks. vulnerable to Distributed Denial of Service (DDoS) attacks, which occur when multiple vehicles carry out various tasks. This cause disrupts the normal functioning of legitimate routes. In this work, the Hybrid PSO-BAT Optimization Algorithm (HBPSO) Algorithm based on modified chaos -cellular neural network (Chaos - CNN) approaches has been proposed to overcome DDoS attacks. The suggest approaches consists of three-part which are hybrid optimization search algorithm to enhance the route from source to destination, chaos theory module is used to detect the abnormal nodes, then on Modified Chaotic CNN (MCCN) employed to prevent a malicious node from sending data to the destination by determining node that consumer more resource, packets lose or the victim could reset the path between the attacker and itself. CICIDS dataset has been used to test and evaluate the performance of the proposed approach based on the criteria of accuracy, packet loss, and jitter. The Chaos - CNN approached results to outperform similar models of the related work and the approach protects the VANETs with high accuracy of 0.8736, specificity of 0.9959, TPR of 0.9561, and FPR of 0.78, Detection rate 0.9561
Adolescents’ Cognitive Abilities, Reaction Time, and Working Memory Performance by Vienna Test Systems
Get PDFAbstract - Mental and physical health components are critical in child’s development. However, adolescents are especially vulnerable group presenting multiple health risks of chronic disease, sleeping and eating problems. Moreover, the long time spent at screens increases possibility to develop addictions. There is a lack of comprehensive interdisciplinary assessment tools for adolescents, to assess their mental health components, and provide preventive activities. It is very important to develop a methodology that can accurately assess the minor cognitive and health deviations that can be caused by an unhealthy lifestyle and excessive time spent on screens. This research explores the possibilities to record and compare parameters of cognitive abilities, reaction time, and working memory using Vienna test systems for different groups of adolescents by their physical activity and health levels. The results of this study demonstrated that the reaction time in adolescents was shorter using the leading hand in comparison with using the non-leading hand, 272.842±44.001ms vs 306.631±57.081ms on Vienna test for low physical activity (LPA) adolescents group. In the STROOP test color evaluation results were faster than word reading test results. The median of reaction time of LPA adolescents for color evaluation was 0.897±0.221ms and 0.968±0.15ms for reading. Vienna test system has specific tests that can be used to determine memory parameters, providing different assessment approaches to compare the obtained results. Group of adolescents with mild chronic health conditions performs statistically significantly lower parameter in particular tests in comparison with adolescents with low and high physical activity
A LabVIEW Instrument Aimed for the Research on Brain-Computer Interface by Enabling the Acquisition, Processing, and the Neural Networks based Classification of the Raw EEG Signal Detected by the Embedded NeuroSky Biosensor
Get PDFThe Brain-Computer Interface (BCI) is a scientific field aimed at helping people with neuromotor disabilities. Among the current drawbacks of BCI research is the need for a cost-effective software instrument for simple integration with portable EEG headsets, the lack of a comparative assessment approach of various techniques underlying recognizing the most precise BCI control signal –voluntary eye-blinking, and the need for EEG datasets allowing the classification of multiple voluntary eye-blinks. The proposed BCI research-related virtual instrument accomplishes the data acquisition, processing, features extraction, and the ANN-based classification of the EEG signal detected by the NeuroSky embedded biosensor. The developed software application automatically generated fifty mixtures between selected EEG rhythms and statistical features. The EEG rhythms are related to the time and frequency domains of the raw, delta, theta, alpha, beta, and gamma. The extracted statistical features contain the mean, median, standard deviation, route mean square, Kurtosis coefficient, mode, sum, skewness, maximum, and range = maximum-minimum. The results include 100 EEG datasets to classify multiple voluntary eye-blinks: 50 datasets with 4000 recordings and 50 with 800 recordings. The LabVIEW application determined the optimal ANN models for classifying the EEG temporal sequences corresponding to detecting zero, one, two, or three voluntary eye-blinks