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Learning content can be delivered and distributed to end-users from various environments, with various interests, outside of a classroom, thanks to the major trend in technology development known as e-learningusing recent advanced services for ML and Data Analytics. (Subramani ET AL.2021). It helps to maximize the learning system's flexibility and effectiveness (Elgendy et al.2018). E-learning is a teaching and learning concept that incorporates information technology (Shakeel et al.2018). Cloud computing is taking over today's computing landscape by using a large pool of scalable and adaptable computing resources whenever you need them.An integrated solution for predictive model-based quality inspection in industrial manufacturing was developed due to this paper's research.An important part of the teaching and learning concept is the development of new teaching and learning methodologies in educational institutions (Amudha et al.2021).OER (Open Educational Resources) are useful for various reasons (Hu et al.2018).
Drawbacks of OER are Insufficient quality, Teacher-student interaction is lacking, Barriers due to differences in dialect or culture, Problems with the technology, Concerns about copyright and other forms of intellectual property and Concerns about long-term viability.
Benefits of OER have Increased access to education, Scalability,Extension of class materials, Improvement of standard course content, Quick distribution, Display of innovation and talent, Alumni connections, Constantly improved resources and Increased access to education.
One factor is the rising cost of textbooks, outpacing the cost of most other consumer items, as shown in the graph (Elazab et al.2015). Many students cannot afford to buy textbooks because of the escalating cost of tuition at many universities (Mydhili et al.2020). OER is a way to ensure that all students have access to course materials without paying for them (Wang et al.2021).Learning resources are essential because they can aid students in achieving higher levels of achievement by enabling their learning processusing recent advanced services for ML and Data Analytics.(Shahriar et al.2018). Worksheets, for example, can be a great way for students to put what they learned in class into practice (Manogaran et al.2019). As well as providing repetition, this approach makes learning easier for students because it lets them explore the facts on their own (Shepherd et al.2014). There is a purpose for all educational resources, regardless of type.
Newer, more complex ML models have been developed, and large data sets and software platforms make it easy to use vast computational resources to train ML models on large data sets. This success can be attributed to a combination of these factors.
Cloud technology is the best option for delivering computing internet services to offer additional competitive and flexible resources at a lower total cost of ownership (TCO) (Amudha et al.2018).There are mainly four roots of cloud computing: internet technologies, distributed computing, hardware, and system management using recent advanced ML and Data Analytics services.(Rajesh et al.2018). These roots help computers extend their capacities and make them more powerful (Nguyen et al.2021).It is possible to have private, public, hybrid, and multi-cloud cloud computing options (Bevinakoppa et al.2108). There are three main types of services in the cloud computing world: Infrastructure, Platform, and Software as a Service (SaaS) (Chang et al.2006). Routing, data storage, servers, and virtualization are provided by a cloud provider in the IaaS model (Manogaran et al.2021). Storage arrays and computing power will be provided to the customer, and it is up to them to provide their software system to run on it (Naeem et al.2021). Large-scale computations, like weather forecasting and data analysis, can be performed by a virtual supercomputer made up of many computer systems working together as a grid (Zughoul et al.2021).