“…In the new context of independent education, pupils must be prepared for the digital world. Due to poor e‐learning preparation, a lack of background information, poor connectivity, and cost constraints, people benefit from taking courses online (Sayaf, 2023). Additionally, throughout the pandemic, students who took online classes used online learning platforms to turn in assignments and homework.…”
Section: Conceptual Frameworkmentioning
confidence: 99%
“…E‐learning is primarily based on using technology and the Internet, while teaching can also take place in or outside of formal classroom settings. The adoption rate of e‐learning is a minimum of 60% of those using the internet have participated in online education (Sayaf, 2023). The e‐learning attitude is the way that people utilize computers affects how they perceive it and how they feel about e‐learning.…”
A teaching strategy known as an “e‐learning system” involves the use of electronic technology to encourage and assist learning in a classroom setting. According to the increasing rise in the number of pupils using modern communication technologies, alterations to the e‐learning system are now feasible. The study aims to explore the relationship between e‐learning adoption, attitude, and academic performance in the regulations of students' resistance to innovation from the perspective of Chinese students. Recognizing the mediating impact of e‐learning adoption (ELAD) as well as the regulating function of resistance to innovation (RTI) is crucial for completely comprehending how e‐learning attitude (ELAT) influences music student performance (SP). The objective of this study is to find an association between ELAT and students' performance and to find out the association between ELAD and students' performance. A random sampling technique was utilized quantitatively. Data were collected from 293 music education students in China using a questionnaire method. The study obtained data were analyzed through descriptive statistics using SPSS statistical software. The research was conducted in Chinese music educational institutions in Beijing. PLS‐SEM stands for Partial Least Squares Structural Equation Modeling. It's a statistical method used for analyzing relationships between variables. Partial Least Squares (PLS) software is chosen for its versatility in handling complex relationships with small sample sizes. PLS is known for its ability to handle multicollinearity, making it a robust choice for research requiring accurate and stable predictions with limited data. The study analyzes the connection between music student performance and e‐learning attitude. The findings of the study indicate the regulating role of objections to innovation and the mediation effect of e‐learning adoption. The study suggests that a positive attitude toward e‐learning adoption enhances students' work performance. The findings underline the significance of ELAT and ELAD and offer useful policies for improving students' performance.
“…In the new context of independent education, pupils must be prepared for the digital world. Due to poor e‐learning preparation, a lack of background information, poor connectivity, and cost constraints, people benefit from taking courses online (Sayaf, 2023). Additionally, throughout the pandemic, students who took online classes used online learning platforms to turn in assignments and homework.…”
Section: Conceptual Frameworkmentioning
confidence: 99%
“…E‐learning is primarily based on using technology and the Internet, while teaching can also take place in or outside of formal classroom settings. The adoption rate of e‐learning is a minimum of 60% of those using the internet have participated in online education (Sayaf, 2023). The e‐learning attitude is the way that people utilize computers affects how they perceive it and how they feel about e‐learning.…”
A teaching strategy known as an “e‐learning system” involves the use of electronic technology to encourage and assist learning in a classroom setting. According to the increasing rise in the number of pupils using modern communication technologies, alterations to the e‐learning system are now feasible. The study aims to explore the relationship between e‐learning adoption, attitude, and academic performance in the regulations of students' resistance to innovation from the perspective of Chinese students. Recognizing the mediating impact of e‐learning adoption (ELAD) as well as the regulating function of resistance to innovation (RTI) is crucial for completely comprehending how e‐learning attitude (ELAT) influences music student performance (SP). The objective of this study is to find an association between ELAT and students' performance and to find out the association between ELAD and students' performance. A random sampling technique was utilized quantitatively. Data were collected from 293 music education students in China using a questionnaire method. The study obtained data were analyzed through descriptive statistics using SPSS statistical software. The research was conducted in Chinese music educational institutions in Beijing. PLS‐SEM stands for Partial Least Squares Structural Equation Modeling. It's a statistical method used for analyzing relationships between variables. Partial Least Squares (PLS) software is chosen for its versatility in handling complex relationships with small sample sizes. PLS is known for its ability to handle multicollinearity, making it a robust choice for research requiring accurate and stable predictions with limited data. The study analyzes the connection between music student performance and e‐learning attitude. The findings of the study indicate the regulating role of objections to innovation and the mediation effect of e‐learning adoption. The study suggests that a positive attitude toward e‐learning adoption enhances students' work performance. The findings underline the significance of ELAT and ELAD and offer useful policies for improving students' performance.
“…where = and is the monthly extraterestrial solar radiation on the horizontal surface which can be determined following the relationship presented by Tang and Wu (1) as in equation [2]:…”
Section: Procedures For the Monthly Tilting Angles And Orientations C...mentioning
This paper determines the solar panel optimal tilt angle and orientations at the Brikama environment of The Gambia. This was achieved by comparing mathematical model results with experimental data collected using a PV module (Model AP-120) manufactured by AstroPower, USA, and a single-axis tracker technology at the same location and months of the year. The experimental tilt angles obtained range from 5.1°-28.2° with an average angle of 14.8° while the mathematical model approach obtained the tilt angle to be within the range of 9.1°-22.3° with a mean value of 15.5°. The generated power analysis revealed that the peak power produced by the solar panel was recorded at an angle of 30° due South and the mean power gain from the orientation of the PV panel ranged from 3.6-48.1W. The mean power result suggests that, in comparison to a horizontal position, solar collecting efficiency is higher at the optimal tilt angle.
“…Furthermore, the WHO has designated styrene as a potential human carcinogen. 287 Similarly, the hazardous effects of various plastic monomers on ecosystems and humans, particularly blood components, must be investigated.…”
Section: Research Gaps In Toxicological Information and Future Perspe...mentioning
Micronanoplastics (MNPs) interact with blood components, resulting in anemia, cardiovascular diseases, etc. Research gaps include toxic impacts of real-world MNPs, monomers, co-pollutants complex, and so on, emphasizing the need for more research.
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