Exploring university teachers’ online education during COVID-19: Tensions between enthusiasm and stress

Bruggeman, Bram; Garone, Anja; Struyven, Katrien; Pynoo, Bram; Tondeur, Jo

doi:10.1016/j.caeo.2022.100095

Cited by 38 publications

(42 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Te construction of an online teaching environment can be personalized according to the teaching purpose, and compared with the traditional ofine teaching mode, online teaching can obtain a better teaching presentation with the help of teaching environment construction. Te advantage of online teaching is that it can be done with simple electronic devices for both students and teachers, which can greatly save the cost and time for teachers and students to move around [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Neural Network for the Online Course Quality Assessment System

Bai

Yong-guo

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Under the influence of COVID-19, online office and online education has ushered in a golden period of development. The teaching quality of online education has been a controversial issue. Our study takes online course teaching quality assessment as the starting point, explores the influencing factors of online course quality assessment with online courses as the research object, and analyzes the latest research proposal for an online course quality index. To make the online course quality assessment more intelligent, we propose an online course quality assessment method based on a fuzzy neural network. The method uses fuzzy rules as the baseline and adds a TSK perception mechanism to expand the perception domain of the fuzzy neural network and improve the course quality index prediction accuracy. At the input side of the fuzzy neural network, we preclassify the online course data into four parts, and each part of the data represents a different assessment domain. Due to the large data cost, we expanded the collective amount of data using data augmentation methods. In addition, we parse the structure of the fuzzy neural network hierarchy and introduce the construction and role of the TSK perception mechanism in the fuzzy rules. An optimal learning strategy is proposed in the fuzzy neural network training. Finally, in the experimental session, we verify the effectiveness of data augmentation and explore the distribution of course quality assessment weights. In the comparison of the model prediction results with the actual assessment results, our method achieves an excellent matching rate, which proves the high efficiency of our method in the online course quality assessment system.

show abstract

Section: Introductionmentioning

confidence: 99%

Fuzzy Neural Network for the Online Course Quality Assessment System

Bai

Yong-guo

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…The dilemmas faced by teachers in the rollout of AI cover a wide range of those that range from physical access to remote communication; may involve teaching and learning processes, such as face-to-face situations or the social imagery created around them; and may even affect the psychology of teachers and students. In these cases, as evidenced by multiple studies, AI can provide multitudinous benefits to transform the education mode [62,63]. Furthermore, this study shows that the majority of teachers are at a moderate to high level of AI literacy and have a relatively in-depth understanding of the use of AI resources in the classroom.…”

Section: Discussionmentioning

confidence: 63%

Developing AI Literacy for Primary and Middle School Teachers in China: Based on a Structural Equation Modeling Analysis

Zhao

Luo

2022

Sustainability

View full text Add to dashboard Cite

As smart technology promotes the development of various industries, artificial intelligence (AI) has also become an important driving force for innovation and transformation in education. For teachers, how to skillfully apply AI in teaching and improve their AI literacy has become a necessary goal for their sustainable professional development. This research examines the correlations among the dimensions of AI literacy of teachers in order to promote the effectiveness of class teaching and the adoption of artificial intelligence literacy (AIL). Our findings are based on the analysis of 1013 survey results, where we tested the level of AI literacy of teachers, including Knowing and Understanding AI (KUAI), Applying AI (AAI), Evaluating AI Application (EAIA), and AI Ethics (AIE). We find that AAI had a significant, positive effect on the other three dimensions. Thus, based on the analysis, the government should take action to cultivate teachers’ AI literacy. In order to improve teachers’ AI literacy, the choice of curriculum, content, methods, and practical resources for special training should be diverse and committed to making AI literacy an essential enabler for teachers’ sustainable future development.

show abstract

“…Considering these premises and the references currently present in the domain, we formulate the second and third theories to be tested in the survey. Bruggerman et al presented the impact of online activity on the teaching field [ 36 ]. Their findings could be used to improve the educational methodologies further.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of Sustainable Communication Patterns during the Telework Period in Western Romanian Corporations

Ţigan

Blaga

Isac

et al. 2022

IJERPH

View full text Add to dashboard Cite

The research was conducted in a particular context, the recent pandemic. It is a comparative study of the methods and quality of communication in global companies between 2021 and 2022. The corporations involved in the research are important providers of flexible production, quality, and logistics solutions that cover customers’ real needs. They are active in the automotive industry and units involved in mass production in the electronics industry, household appliances, and cosmetics industries. In their case, it was noted that to achieve operational objectives such as developing employee skills, using advanced technologies, and exceeding customer expectations, it is important to use innovative methods and tools such as single platforms, which allow access to the most important information from a distance, anywhere, anytime. It is significant that, according to the research, the preferred method of communication by employees, regardless of the existing conditions, is face-to-face. Primarily, this method is chosen because it provides an open area of interpersonal interaction. The participants observe non-verbal attitudes or can perceive emotions and feelings. Their personality can be identified through unintentional contact to obtain constructive feedback through guidance and counseling. Moreover, it can be formed and develop productive, intentional connections. Stakeholders’ efficient and effective open dialogs are encouraged in this sense.

show abstract

Exploring university teachers’ online education during COVID-19: Tensions between enthusiasm and stress

Cited by 38 publications

References 40 publications

Fuzzy Neural Network for the Online Course Quality Assessment System

Fuzzy Neural Network for the Online Course Quality Assessment System

Developing AI Literacy for Primary and Middle School Teachers in China: Based on a Structural Equation Modeling Analysis

Analysis of Sustainable Communication Patterns during the Telework Period in Western Romanian Corporations

Contact Info

Product

Resources

About