Computerization of learning management process as a means of improving the quality of the educational process and student motivation

Petrovskaya, Anastasia; Pavlenko, Daria; Feofanov, Kirill; Klimov, Valentin

doi:10.1016/j.procs.2020.02.194

Cited by 11 publications

(7 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The course selection module mainly provides the function of course selection: select the required courses according to the course selection rules, and also independently select the elective courses of each semester [18,19]. Through the improved course recommendation algorithm, we recommend appropriate elective courses for students to help students learn systematically and reasonably.…”

Section: Evaluation Algorithm Of College Students' Educationalmentioning

confidence: 99%

“…The teaching evaluation module mainly provides the function of course teaching evaluation: view the list of showing evaluation, and view the rundown of educating evaluation information of evaluated and nonevaluated teaching through the status of teaching evaluation. The courses that have not been evaluated will be scored according to the indicators [19][20][21]. View feedback on the evaluated courses.…”

Section: Evaluation Algorithm Of College Students' Educationalmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation Method of College Students’ Education Management Quality Based on Collaborative Filtering Algorithm and IoT Apps

Tang¹

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Considering the ongoing unfortunate evaluation impact of College Students’ education management quality, this paper advances an undergrad’ education management quality evaluation technique in light of collaborative filtering algorithm, gathers the impact indicators of College Students’ education management quality, and builds an understudies’ education management quality evaluation record framework joined with collaborative filtering algorithm. At long last, it is affirmed by tests that the quality evaluation technique for College Students’ Education Management Based on collaborative filtering algorithm has high precision and practicability during the time spent down to earth application, which gives reference and help for college education management.

show abstract

Section: Evaluation Algorithm Of College Students' Educationalmentioning

confidence: 99%

Section: Evaluation Algorithm Of College Students' Educationalmentioning

confidence: 99%

Evaluation Method of College Students’ Education Management Quality Based on Collaborative Filtering Algorithm and IoT Apps

Tang¹

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…e work content of computerized financial accounting is reimbursement to enterprises, with the focus on financial statistics, which belongs to the category of external accounting. Computerized management accounting focuses on business management, past evaluation, present decision-making, and future development, which belongs to the category of internal accounting [3]. e data source cannot be unknown during the systematic analysis and design of management accounting software.…”

Section: Introductionmentioning

confidence: 99%

Data Source Analysis of Computerized Management Accounting Based on Data Warehouse and Mobile Edge Computing

Guo

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Accounting work is more efficient when it is computerized, and the rate of errors is lower. The incentive mechanism should be improved before the development of management accounting practice in businesses. The emotion of employees in enterprises is a determinant of the spread of management accounting practice in businesses. Employees’ resistance to management accounting practice can be effectively addressed through incentive mechanisms. As a result, in order to encourage the growth of management accounting in businesses, they must first create a perfect management accounting incentive mechanism. The implementation of a management accounting information system is made more difficult by these new categories. The construction of a management accounting information system based on BI and mobile edge computing is systematically discussed in this study. BI has the advantage of being able to model in a variety of ways, process large amounts of data efficiently, and provide managers with actionable data quickly. To realize the quantitative analysis of cost, income, and input-output, the system employs advanced technologies such as data warehouse modeling, data acquisition, data display, and security design. Management accounting has emerged as the best choice for the innovation of enterprise management mode as an accounting service for the internal management of businesses. Big data in management accounting serves as a company’s “asset,” providing a wealth of information. It has become critical to understand how to mine and use big data information to provide a foundation for management accounting. This study explains how to collect data, prepare data, establish a model, mine data, and analyze data using a big data and mobile edge computing algorithm and identifies the key indicators affecting enterprise management accounting risk analysis through empirical analysis. The study of the diffusion mechanism and influencing factors of management accounting practice within enterprises and between enterprise clusters can help promote the development of management accounting practice and speed up the construction of China’s localized management accounting system.

show abstract

“…Studies indicate that more innovative tools, intelligent applications, and methods are changing the education system, improving learners' experiences and classroom learning results (Aoun, 2017;Papadopoulos et al, 2020). While studying the application evaluation of AI in medical education, Chan and Zary (2019) found that AI was applied to learning support, student evaluation, and course review; AI also provided students with guiding learning approaches and personalized feedback (Khumrina et al, 2018) or analyzed students' academic performances through the neural network method to enable teachers to conduct more representative evaluation on students' knowledge according to the course (Petrovskaya et al, 2020).…”

Section: The Impact and Application Of Artificial Intelligence On Edu...mentioning

confidence: 99%

Deep learning course development and evaluation of artificial intelligence in vocational senior high schools

et al. 2022

View full text Add to dashboard Cite

This study aimed to develop cross-domain deep learning courses of artificial intelligence in vocational senior high schools and explore its impact on students’ learning effects. It initially adopted a literature review to develop a cross-domain SPOC-AIoT Course with SPOC (small private online courses) and the Double Diamond 4D model in vocational senior high schools. Afterward, it adopted participatory action research (PAR) and a questionnaire survey and conducted analyses on the various aspects of the technology acceptance model by SmartPLS. Further, this study explored the impact on the effects of deep learning and knowledge-ability learning of artificial intelligence after 16 weeks of course teaching among 36 Grade I students from the electrical and electronic group of a vocational senior high school. This study revealed that (1) the four stages of the SPOC-AIoT Teaching Mode of the Double Diamond 4D model may effectively guide students to learn AIoT knowledge and skills. (2) Based on the technology acceptance model, the analysis of learning and participation in SmartPLS indicated that this model conformed to the academic fitness requirements of the overall model. (3) After learning with the SPOC-AIoT Teaching Mode, the learning effects of students in AIoT have been significantly improved to a positive aspect. Finally, some suggestions were put forward to promote the development of the SPOC-AIoT Teaching Mode Course in the future.

show abstract

Computerization of learning management process as a means of improving the quality of the educational process and student motivation

Cited by 11 publications

References 0 publications

Evaluation Method of College Students’ Education Management Quality Based on Collaborative Filtering Algorithm and IoT Apps

Evaluation Method of College Students’ Education Management Quality Based on Collaborative Filtering Algorithm and IoT Apps

Data Source Analysis of Computerized Management Accounting Based on Data Warehouse and Mobile Edge Computing

Deep learning course development and evaluation of artificial intelligence in vocational senior high schools

Contact Info

Product

Resources

About