“…The same results were suggested by Freeman and Capper (1999) and Arbaugh (2000) when applying the comparative performance of the business students. Several studies have been focused on online learning effectiveness, and they found no significant difference between online and offline learning in various courses and contexts (Lean et al , 2018; Wang et al , 2019). As learners and instructors are isolated from each other due to time and space differences, advanced technologies have made it possible to have interactions through live classes and content sharing through the learning management system (LMS).…”
PurposeThe pandemic of COVID-19 has pushed most of the classroom learning to an online environment with which most of the people were not familiar. This study aims to investigate the importance of social interaction on the effectiveness of online learning during the pandemic when social distancing norms are in place.Design/methodology/approachThis study uses the partial least square (PLS) structural equation modeling (SEM) approach, a nonparametric method based on total variance, using the SmartPLS software 3.0. The data were collected using the snowball sampling technique from the students who were learning online due to the pandemic COVID-19 and asked them to forward the survey link in their network.FindingsThe results suggested that social interaction has a positive significant impact on the effectiveness of online learning. However, this effect is reduced in the presence of social distance norms as people give more importance to continuous learning and to saving lives rather than socializing in the online environment.Originality/valueThe study will be helpful for instructors and educational institutes to formalize the strategies to enhance social interaction in online learning and analyze their pedagogy to improve effectiveness.
“…The same results were suggested by Freeman and Capper (1999) and Arbaugh (2000) when applying the comparative performance of the business students. Several studies have been focused on online learning effectiveness, and they found no significant difference between online and offline learning in various courses and contexts (Lean et al , 2018; Wang et al , 2019). As learners and instructors are isolated from each other due to time and space differences, advanced technologies have made it possible to have interactions through live classes and content sharing through the learning management system (LMS).…”
PurposeThe pandemic of COVID-19 has pushed most of the classroom learning to an online environment with which most of the people were not familiar. This study aims to investigate the importance of social interaction on the effectiveness of online learning during the pandemic when social distancing norms are in place.Design/methodology/approachThis study uses the partial least square (PLS) structural equation modeling (SEM) approach, a nonparametric method based on total variance, using the SmartPLS software 3.0. The data were collected using the snowball sampling technique from the students who were learning online due to the pandemic COVID-19 and asked them to forward the survey link in their network.FindingsThe results suggested that social interaction has a positive significant impact on the effectiveness of online learning. However, this effect is reduced in the presence of social distance norms as people give more importance to continuous learning and to saving lives rather than socializing in the online environment.Originality/valueThe study will be helpful for instructors and educational institutes to formalize the strategies to enhance social interaction in online learning and analyze their pedagogy to improve effectiveness.
“…In summary, satisfying the above conditions, the smallest classification surface is the optimal classification surface. e matching of string similarity can convert the solution problem of optimal classification surface into the following constraint optimization problem, that is, meeting the constraint conduction in formula ‖w‖ 2 (2) to solve the minimum value of the function:…”
“…Due to the poor network hardware conditions, many difficult problems occur to artificial intelligence network work [1,2]. In artificial intelligence, the most important task currently is the smooth progress of modern art interaction [3].…”
The extraction speed of current art exchange element is relatively low, and its effect is relatively poor, so is the effect of art exchange. Therefore, a new art exchange method has been developed with respect to artificial intelligence technology, which analyzes the background of current art, providing a good environment foundation for the exchange place to integrate the artificial intelligence technology after the exchange, and interacts with the network artificial intelligence technology and the multimedia multielement exchange art in the control. It has been proved through practice that artificial intelligence technology embodies the advantages of design tools and the improvement of efficiency in modern art exchange; it allows the current diversity of artistic interaction and enables it to obtain new development in the current new technological background.
“…However, effect sizes were larger for blended than fully online courses. In addition, studies in various fields detected no differences in student performances between in-person and online courses in physical sciences ( Nennig et al, 2020 ), an undergraduate C programming course ( Rorrer and Bahamón, 2019 ), a public relations course ( McKeever, 2019 ), and an engineering drawing course ( Wang et al, 2019 ). Moreover, approximately three quarters of academic leaders rated learning outcome achievement in online education as equal to or better than in-person instruction ( Allen and Seaman, 2015 ).…”
This study examined students’ learning adjustments in an introductory statistics class in response to the unexpected challenge presented by the COVID-19 pandemic. Results show significant correlations in grades, page views, and on-time assignment submissions (OTAS) suggesting that the in-person and online learning modalities were comparable. The distributions of student learning activities were narrowly clustered around the means with smaller standard deviations recorded during the online sessions. Grades were positively correlated with OTAS for the in-person classes. For online classes using synchronous screen sharing, grades were positively associated with attendance; however, they were negatively influenced by the numbers of page views in the learning management system. The relations between attendance and achievement might be influenced by the complexity of content material. Students benefited more from attending classes in technical topics such as inferential statistics compared to descriptive statistics. It appears that participating in synchronous classes was a more effective means of learning inferential statistics than merely reviewing the instructor’s notes. In contrast, no correlation between grades and attendance was observed for in-person learning sessions covering descriptive statistics. There were no differences in learning adjustments between male and female students and both showed substantial resilience in adapting to the changes. Students unanimously looked forward to returning to campus. This study suggests it is the students’ individual learning approaches and behaviors that have a greater impact on their learning outcomes than the modality in which they are taught. Course designs and assignment formats might be factors that influenced students’ attendance and OTAS.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.