Online learning is part of the future of K-12 education. However, few online K-12 instructors have been formally trained in online pedagogy. This chapter describes best practices in creating online courses for K-12 students....
Air pollution is increasing day by day, decreasing the world economy, degrading the quality of life, and resulting in a major productivity loss. At present, this is one of the most critical problems. It has a significant impact...
The purpose of this paper is to identify the factors for both HR practices and organizational effectiveness along with what extent HR practices impact organizational effectiveness. The data were randomly collected from faculty...
While the growth of blended learning environments in higher education and non-educational settings has continued to increase in recent years, this has not been the case in K-12 settings. Recently, in an effort to explore the...
Cluster analysis is the prominent data mining technique in knowledge discovery and it discovers the hidden patterns from the data. The K-Means, K-Modes and K-Prototypes are partition based clustering algorithms and these...
While the growth of blended learning environments in higher education and non-educational settings has continued to increase in recent years, this has not been the case in K-12 settings. Recently, in an effort to explore the...
The recent techniques built on cloud computing for data processing is scalable and secure, which increasingly attracts the infrastructure to support big data applications. This paper proposes an effective anonymization based...
In this article, the author categorises the solid transportation problem (STP) under uncertain environments. He formulates the mixed and fully intuitionistic fuzzy solid transportation problems (FIFSTPs) and utilizes the...
The weather has a serious impact on the environment as it affects to change day to day life. In recent days, many algorithms were proposed to predict the weather. Although various machine learning algorithms predict the weather...
Very few academic programs in pre-service teacher education include opportunities for current and future K-12 educators to develop the necessary skills to teach in an online setting. While limited research has been done related...
Shopper buying behaviour is essential for the retailers to segment the shoppers in accordance to their disruptive attitude and perception for better innovative strategies which may lead to higher profits. The major purpose of...
Although K–12 online education is becoming more common in the United States, there is still much we do not know about how K–12 online teachers are being prepared. Given that few teacher education programs include online pedagogy...
This paper intends to consider a multi-objective problem for expansion planning in Power Distribution System (PDS) by focusing on (i) expansion strategy (ii) allocation of Circuit Breaker (CB), (iii) allocation of Distribution...
With the development of internet of things (IoT) technology, servitization of IoT device functions has become a trend. The cooperation between IoT devices can be equivalent to web service composition. However, current service...
This article presents a stream mining framework to cluster the data stream and monitor its evolution. Even though concept drift is expected to be present in data streams, explicit drift detection is rarely done in stream...
Web bots are destructive programs that automatically fill the web form and steal the data from web sites. According to numerous web bot traffic reports, web bots traffic comprises of more than fifty percent of the total web...
An American K-12 cooperative educational services provider (“The Agency”) has an issue: partner school districts are saving money by building internal capacity for professional development, rather than fully utilizing expertise...
In broad, three machine learning classification algorithms are used to discover correlations, hidden patterns, and other useful information from different data sets known as big data. Today, Twitter, Facebook, Instagram, and...
This quantitative study examined the frequency of usage and teacher perception of educational technology by K - 12 public school teachers in three geographic settings: urban, rural, and suburban. The objective aimed to uncover...
Healthcare analytics provide many benefits in healthcare dashboard systems. Healthcare datasets majorly contains categorical attributes. This paper proposed an optimized clustering for healthcare dataset named harmony search...
This chapter considers the impact the COVID-19 pandemic has had on the reality of educational administrators in U.S.-based institutions of education. Looking closely at 17 educational administrators from both K-12 systems and...
Machine learning (ML) has been instrumental in optimal decision making through relevant historical data, including the domain of bioinformatics. In bioinformatics classification of natural genes and the genes that are infected...
In today's world, business transactional data has become the critical part of all business-related decisions. For this purpose, complex analytical queries have been run on transactional data to get the relevant information, from...
(k, n) threshold is a special case of the general access structure (GAS) in secret image sharing (SIS), therefore GAS is more extensive than (k, n) threshold. Most of conventional SIS, including visual secret sharing (VSS)...
PPG signal utilize the light-based method to sense the blood-flow-rate as controlled by the actions of heart’s pumping. It is extensively utilized in the healthcare with application ranging from the pulse oximetry in the serious...