Online-Journals.org (International Association of Online Engineering)
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Examining Trajectories of Teacher Motivation in Correlation with Students’ Perceptions in Computer Science: Toward Sustainable Motivation to Teach
Get PDFTeacher motivation in higher education (HE) has proved to be susceptible to several external factors that are capable of consequently influencing the teaching and learning process. This study aims to examine the external factors impacting the trajectories of teacher motivation during their profession in computer science. In addition, the work investigates a new paradigm that depicts teacher motivation from both teachers’ and students’ perspectives. Surveys and interviews with students and teachers were used to collect qualitative and quantitative data. A Likert scale survey is used to identify students’ perceptions towards teacher motivation. The number of randomly selected survey respondents is approximately 100 undergraduates in computer science. Next, semi-structured interviews were conducted among twelve teachers from different laboratories in computer science. The interview questions are tailored based on the answers of the students’ survey. The findings are projected to provide suggestions that contribute to sustainable teacher motivation
Self-Efficacy and Digital Anxiety and their Influence on Virtual Educational Performance: A Diagnostic Study in a Sample of Students from a Private University in Lima – Peru
Get PDFDigital self-efficacy is the degree of confidence to efficiently use technological tools. This type of self-efficacy reduces digital anxiety and increases students' performance in virtual environments. This justifies the objective of the present research, which is to analyze the levels of self-efficacy and digital anxiety, as well as their influence on virtual educational performance in students of a private university in Lima, Peru. Using a non-probabilistic convenience sampling procedure, 116 students participated, 105 females (90.5%) and 11 males (9.5%) between 17 and 50 years of age (MeanAge = 26.78, SD = 7.02). The results showed that students perceived to agree in having optimal levels of digital self-efficacy and efficient virtual educational performance. However, they indicated neither agreement nor disagreement in feeling digitally anxious. In addition, it was observed that digital self-efficacy is related to virtual educational performance; and digital anxiety was higher in the older study cycles. The results dispute the concept of "digital native" because age was not related to high levels of self-efficacy, digital performance, or low levels of digital anxiety
On the Teaching of Natural Science- and Electrotechnologically-Oriented University Course for Future Teachers in the Period of Covid 19 Pandemic
Get PDFThe closure of schools and urgent importance of distance education during the Covid 19 pandemic revealed a necessity to find suitable teaching methods that would help to maintain the continuity level of educational system in case of different possible critical periods of society's survival, such as viral and bacterial pandemics, war, climate, meteorological and other disasters. In this context, the need for possibilities of distance-oriented further education of teachers has also emerged. Moreover, it was very important to create a great amount of suitable teaching materials. All mentioned facts require serious didactic research. In fact, it would also help to identify the positives and negatives of previous teaching methods applied in each individual school subject before the Covid 19 pandemic in Slovakia. During the Covid 19 pandemic, the authors of this paper have implemented a natural science-technologically oriented university course for future teachers in the period of Covid 19 pandemic. The research was conducted by method of pedagogical experiment. Paper consists of 9 chapters altogether, also including introduction, conclusion, acknowledgement, and bibliography. The first chapters are theoretical. They directly present the process of creating FVCOVIDE = Distance forms of education (during Covid 19 pandemic, having the character of experimental forms of teaching). Chapter 3 is of pedagogical experiment nature, applying the above-mentioned models into school practice. It also includes research hypotheses, statistical data processing and results interpretation
The Impact of Mobile Application-Assisted Instruction on Intrinsic Motivation and Sports Nutrition Knowledge: The Case of Blended Learning
Get PDFAbstract— In the physical education literature, E-learning in terms of online or blended learning has been lacking and facing several challenges which highlighted a need to conduct more research to investigate modern instruction in the context of physical education. This study is one of the few to determine the impact of Mobile Application-Assisted Instruction (MAAI) on intrinsic motivation and sports nutrition knowledge in a blended learning setting. The “KI-coach” app has been used as a state of an art mobile application based on artificial intelligence. This study adopted quasi experimental approach. Students were randomly assigned into a control group (n=25) that received the convolutional instruction method and an experimental group (n=25) that received MAAI. Study groups adopted a blended learning approach. Measures of intrinsic motivation and sports nutrition knowledge were administered to both groups before and after teaching the nutrition and physical performance course. The ANCOVA analysis revealed a statistically significant difference between the mean scores of the two groups on intrinsic motivation and sports nutrition knowledge. These findings indicated that using MAAI in blended learning promoted the development of intrinsic motivation and enhanced sports nutrition knowledge among physical education students. These findings encourage the decision-makers at the Ministry of higher education and physical education instructors to improve blended learning instruction and practice
Undergraduate Students’ Perceptions on the Use of Padlet as an Educational Tool for an Academic Engagement: Qualitative Study
Get PDFThis research study aimed at investigating the undergraduate students’ perceptions of the opportunities and challenges of utilizing Padlet and its effects on academic engagement. The research followed a qualitative approach. Fifteen students from Qatar University's Research Methods course were intentionally chosen to demonstrate the diversity of specialization (humanitarian, scientific) and academic stage (first year - fourth year). Three semi-structured interviews were conducted to collect the research data that analyzed according to thematic analysis strategies. The researchers used two strategies for achieving trustworthiness in this study research. The findings of this research revealed that the participants were enthusiastic about their experience with Padlet. They mentioned various advantages related to academic engagement such as enhancing active learning. The participants highlighted the role of Padlet in enhancing critical thinking skills. Further, the provided feedback via Padlet was constructive. Despite the advantages, the participant also noted some difficulties encountered when using Padlet. Recommendations for higher education institutions and future ramifications were considered
Prediction and Evolution of Distance Education Learners’ Feedback Attitudes by a Deep Learning Approach
Get PDFIn recent years, the feedback attitude towards teachers has become one of the most important factors affecting learners' trust in teachers' teaching ability and changing learning plans, so the research on learners' feedback attitude has received extensive attention from experts and scholars at home and abroad. Most of the existing relevant research focuses on empirical research and behavioral research using questionnaires and scales from a theoretical point of view, which need to be further verified in terms of reliability and scientificity. Therefore, this paper conducts a research on the prediction and evolution of distance education learners’ feedback attitudes towards teachers based on deep learning. With the help of deep learning technology, it is easy to discover the advantages of distributed feature representation of data, and ARIMA model is combined with BP neural network model to construct a predictive model of distance education learners' feedback attitudes towards teachers. This paper makes the evolution analysis of distance education learners' feedback attitudes towards teachers, and introduces the assumptions and principles of the evolutionary analysis model in detail. The experimental results verify the effectiveness of the proposed model, and the analysis results of learner attitude evolution based on distance English learning as an example are given
Open Learning Environment for Multimodal Learning Based on Knowledge Base Technology
Get PDFWith the development of Internet technology, multimodal data have become the main data resource in the information age. Multimodal learning mode, as an education and teaching mode developed on multimodal data technology, provides more convenience for multimedia teaching. However, many challenges persist in its actual development and application. Currently, the multimodal learning model is susceptible to classroom noise, lack of teaching information, and other factors, which adversely affect multimodal data collection, teaching application, and achievement output. Thus, this paper optimizes the multimodal learning model in the open learning environment and takes 120 engineering students from a university in Guangxi Province as the research object. First, a sequential modal extraction method is proposed by constructing a multimodal probability generation model and then the data are modeled. Semi-supervised learning is then achieved by analyzing and combining the supervised and unsupervised learning processes. Finally, the knowledge base technology with information fusion characteristics is applied to the multimodal teaching mode. This teaching mode has been proven to improve students’ learning ability and learning achievement and teachers’ teaching effectiveness
The Effect of Cognitive Modeling in Mathematics Achievement and Creative Intelligence for High School Students
Get PDFTo identify the impact of the cognitive modeling in mathematics achievement, creative intelligence for secondary school students during the 2022/2023 academic year. To achieve the aim of research, the researchers adopted the experimental research method with two groups (experimental; control) with a post-test. Community of research was identified, which represented by the students of second intermediate grade /first KED. (70) male students were intentionally chosen as a sample study, and they were divided into two groups: an experimental who were taught according to the cognitive modeling, and the other was a control group who were studied according to the usual method. Equivalence was made between the two groups in chronological age, level of intelligence, and previous achievement in mathematics. For the purpose of collecting data for the experiment, an achievement test was built in its final form (20) and also the creative intelligence test out of (25) of test paragraph from thematic type for both of them. Appropriate statistical analyzes were carried out, besides done making sure of the psychometric properties for the two tests. Based on the findings, students of experimental group who studied according to cognitive modeling excelled over those who studied by the traditional
Student Online Learning Behavior Characteristics Based on Multidimensional Cognitive Model
Get PDFAnalysis of student learning behavior characteristics is an important means for educators to better understand students and improve the quality and effectiveness of teaching in the field of education. It is necessary to refer to students' cognitive levels for analysis of student learning behavior characteristics. However, existing algorithms only focus on the overall performance and grades of students, ignoring the individual differences in learning cognitive levels among students, which affects the accuracy of the analysis results. Therefore, this paper conducts research on student online learning behavior characteristics based on a multidimensional cognitive model. Firstly, a multidimensional and multilevel model for evaluating students' cognitive levels is constructed, and the process of evaluating students' cognitive levels is sustainable and can be adjusted in real-time as students' cognitive levels change. By considering the differences in evaluation levels and students' cognitive levels, targeted observation and extraction of students' online learning behavior characteristics can be achieved. A new model based on variational autoencoder neural network is proposed to perform decoupled representation of students' implicit preferences. By using a regularization term based on maximum mean difference, the model can learn independent hidden vectors sensitive to dynamic and static factors from students' online learning behavior history data and multidimensional cognitive evaluation history data. The experimental results verify the effectiveness of the constructed model
A Mobile and Web-Based Security Guard Patrolling, Monitoring and Reporting System to Maintain Safe and Secure Environment at Premises
Get PDFThe guard tour system helps companies and organizations to monitor their security activities such as protecting people, buildings, assets, or equipment. According to the existing system, the patrolling at each checkpoint is being executed by using RFID-based digital data loggers that records and save all patrolling entries internally. The data will be transferred manually by the guard once the patrolling is completed. In some cases, when there is a problem with the device, the system unable to retrieve the patrolling data that has been already stored in the device. In addition, the current system also not be able to track the guard’s movement, patrolling information, and incidents in real-time basis. The developed Security Guard Patrolling, Monitoring and Reporting (eSmartGuard) system is able incorporates many unique and intelligent technologies such as NFC, GPS and IoT to records and save the patrolling data automatically on the cloud/server in real-time basis. An important value-added feature of the system is real-time incidents notification that able to notify any risk of the guards instantly to the in-charged security officer. Furthermore, through the eSmartGuard, the patrolling information such as time, date, GPS coordinate, guard ID can be monitored and retrieved remotely via proposed Mobile Apps and Web at a convenient time. The eSmartGuard patrolling system is proposed to improve the safety of the people and assets by assisting the security guards to perform their patrolling duty efficiently