Complex Model for Personal Data Management of Online Project Users

Федушко, Соломія; Mastykash, Oleg; Syerov, Yuriy; Kalambet, Yaryna

doi:10.1007/978-3-030-80472-5_22

Cited by 2 publications

(4 citation statements)

References 26 publications

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“…Perceptions influence classroom behavior; if a teacher has positive perceptions and beliefs about a specific topic, s/he is more likely to expand on that topic and discuss it with his or her students. In addition, online self-education tools [76] might also prove effective in promoting sustainability.…”

Section: Discussionmentioning

confidence: 99%

The Role of Education in Sustainable Dietary Patterns in Slovenia

2021

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The most sustainable dietary patterns involve the consumption of plant-based (vegan) foods, excluding or reducing animal products, including meat, fish, and dairy, yet there is a lack of research on determinants of sustainable dietary patterns in central European countries. The present article aimed to examine the prevalence of sustainable dietary practices and attitudes among the Slovenian public and to investigate the role of education in fostering sustainable dietary patterns. We analyzed a representative national sample of Slovenians, with data gathered in 2019 (ISSP/Slovenian Public Opinion; N = 1079; 51.2% females). The results indicate that most Slovenians do not have sustainable dietary practices or attitudes with regard to health, the environment, animals, and dietary minorities. One in four Slovenians consume meat at least once per day and one in two consume meat three to six times per week. In addition, 78.2% of Slovenians consume milk at least three times per week; more than half consume milk daily or more often. Fish consumption is the least frequent among the three food groups. At least two-thirds of Slovenians also hold attitudes that are low in sustainability. Results also show that, after controlling for confounding variables, higher educational level emerged as an independent predictor of lower meat consumption, but not of lower fish or milk consumption. Furthermore, those in the lowest educational group are significantly less likely to hold sustainable attitudes than those in the higher educational group. Finally, current student status only decreases meat consumption. Since our results show an educational gradient in meat consumption and attitudes, public health and environmental campaigns should focus on the less-educated groups, encouraging them to reduce meat intake and fostering more sustainable attitudes.

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Section: Discussionmentioning

confidence: 99%

The Role of Education in Sustainable Dietary Patterns in Slovenia

2021

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“…This method resulted in delivering a oneyear cycle of informational activity in higher education institutes which is forecasted to last for three years in some scenarios [34]. Fedushko et al [35] used the data mining technique to obtain the best results for free course certification on online platforms. They analyzed the most popular educational videos on YouTube worldwide based on their quality of content and visuals.…”

Section: Discussionmentioning

confidence: 99%

“…The study laid forward the leading video that increases educational activity scope or the development of specific questions or problems. The advisory system for the finest educational service online was proposed with the rate determination of the finest and the most secure educational platform online [35]. Fig.…”

Section: Discussionmentioning

confidence: 99%

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Forecasting the Academic Performance by Leveraging Educational Data Mining

Saeed

2024

IASC

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The study aims to recognize how efficiently Educational Data Mining (EDM) integrates into Artificial Intelligence (AI) to develop skills for predicting students' performance. The study used a survey questionnaire and collected data from 300 undergraduate students of Al Neelain University. The first step's initial population placements were created using Particle Swarm Optimization (PSO). Then, using adaptive feature space search, Educational Grey Wolf Optimization (EGWO) was employed to choose the optimal attribute combination. The second stage uses the SVM classifier to forecast classification accuracy. Different classifiers were utilized to evaluate the performance of students. According to the results, it was revealed that AI could forecast the final grades of students with an accuracy rate of 97% on the test dataset. Furthermore, the present study showed that successful students could be selected by the Decision Tree model with an efficiency rate of 87.50% and could be categorized as having equal information ratio gain after the semester. While the random forest provided an accuracy of 28%. These findings indicate the higher accuracy rate in the results when these models were implemented on the data set which provides significantly accurate results as compared to a linear regression model with accuracy (12%). The study concluded that the methodology used in this study can prove to be helpful for students and teachers in upgrading academic performance, reducing chances of failure, and taking appropriate steps at the right time to raise the standards of education. The study also motivates academics to assess and discover EDM at several other universities.

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Complex Model for Personal Data Management of Online Project Users

Cited by 2 publications

References 26 publications

The Role of Education in Sustainable Dietary Patterns in Slovenia

The Role of Education in Sustainable Dietary Patterns in Slovenia

Forecasting the Academic Performance by Leveraging Educational Data Mining

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