Опубликована: Дек. 29, 2023
With the acceleration of globalization, English plays an increasingly important role in international communication. Therefore, improvement teaching quality has become issue that educators pay attention to. In order to make a comprehensive, objective and scientific evaluation teaching, this study adopts K-means clustering fuzzy comprehensive method, analyzes data teachers, students environment, so as provide targeted suggestions for
Язык: Английский
PeerJ Computer Science, Год журнала: 2024, Номер 10, С. e1971 - e1971
Опубликована: Апрель 22, 2024
Despite advanced health facilities in many developed countries, diabetic patients face multifold challenges. Type 2 diabetes mellitus (T2DM) go along with conspicuous symptoms due to frequent peaks, hypoglycemia <=70 mg/dL (while fasting), or hyperglycemia >=180 two hours postprandial, according the American Diabetes Association (ADA)). The worse effects of are precisely associated poor lifestyle adopted by patients. In particular, a healthy diet and nutritious food key success for such This study was done help T2DM improve their developing favorable under an AI-assisted Continuous glucose monitoring (CGM) digital system. aims reduce blood level fluctuations rectifying daily maintaining exertion vs. consumption records. this study, well-precise prediction is obtained training ML model on dataset recorded from CGM sensor devices attached observation. As data time series, predict levels, series analysis forecasting XGBoost, SARIMA, Prophet. results different Models then compared based performance metrics. helped various trends, specifically irregular patterns patient’s data, collected sensor. Later, keeping track these trends seasonality, adjusted accordingly adding removing particular its nutrients intervention commercially available all-in-one AI solution recognition. created interactive assistive system, where predicted contents bring levels within normal range alert about before that going occur sooner. will get managing ultimately HbA1c (<= 5.7%) pre-diabetic patients, three months after intervention.
Язык: Английский
Процитировано
5
Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Фев. 19, 2025
In order to solve the problems of inefficient allocation teaching resources and inaccurate recommendation learning paths in higher education, this paper proposes a smart education optimization model (SEOM) by combining improved random forest algorithm (RFA) based on adaptive enhancement mechanism Graph Neural Network (GNN) algorithm. The public data information such as national intelligent platform are collected, SEOM is trained verified. results show that has high accuracy generalization ability three different scenes: online mixed teaching, personalized project-based teaching. Root Mean Square Error (RMSE) value cross-validation between 0.2 0.5, Absolute (MAE) 0.1 0.5. shows strong stability when dealing with multidimensional educational complex modes. rate remains at 85-97%, indicating its reliability path recommendation. Further analysis chi-square freedom ratio 1.0 2.5, fitting index adjusted both above 0.85, comparative close 0.95, which rationality capturing dependence knowledge points Residual (RMR) Approximation (RMSEA) below 0.05, indicates small residual scene adaptability. addition, abnormal network environment, resource efficiency 60%, Shapley 0.4, can adapt change environment effect still obvious. Generally speaking, optimize recommend effectively improve intelligence decision-making, especially for university administrators technology developers.
Язык: Английский
Процитировано
0
Information, Год журнала: 2025, Номер 16(3), С. 181 - 181
Опубликована: Фев. 27, 2025
The growth in the number of students higher education institutions (HEIs) Latin America reached 33.5 million 2021 and more than 220 worldwide, increasing data volumes academic management systems. Some difficulties that universities face are providing high-quality to developing systems evaluate performance teachers, which encourages offering a better quality teaching universities; this sense, machine learning emerges with great potential education. This literature review aims analyze factors, algorithms, challenges, limitations most used based on performance. methodology is PRISMA, considers analyzing produced between 2014 2024 prediction predict teaching. Here, 54 articles from journals indexed Web Science Scopus databases were selected, 111 factors identified categorized into five dimensions: teacher attitude, method, didactic content, effect, achievements. Regarding advances predicting quality, 30 ML algorithms identified, being Back Propagation (BP) neural network support vector machines (SVM). challenges 14 studies related HEIs managing large volume how use it improve
Язык: Английский
Процитировано
0
Journal of Parallel and Distributed Computing, Год журнала: 2025, Номер unknown, С. 105067 - 105067
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0
International Journal of General Systems, Год журнала: 2025, Номер unknown, С. 1 - 24
Опубликована: Март 24, 2025
Язык: Английский
Процитировано
0
Education Sciences, Год журнала: 2024, Номер 14(4), С. 384 - 384
Опубликована: Апрель 6, 2024
Schools need teachers’ professional performance to ensure the quality of educational output. Therefore, this research explores based on digital literacy, grit, and instructional mediated by teaching creativity. The participants are 465 junior- high-school teachers in Indonesia. Structural equation modeling (SEM) is utilized data analysis, along with common method bias correlational descriptive analyses. results show a significant relationship between creativity teacher performance. Teaching also has mediates influence This finding promotes new empirical model causal quality, through Consequently, it proposed that creativity, high-quality instruction can all improve order advance future, practitioners researchers should discuss, modify, possibly even adopt model.
Язык: Английский
Процитировано
4
Applied Sciences, Год журнала: 2024, Номер 14(12), С. 5020 - 5020
Опубликована: Июнь 8, 2024
By analyzing students’ understanding of a certain subject’s knowledge and learning process, evaluating their level, we can formulate plans teachers’ curricula. However, the large amount data processing consumes lot manpower time resources, which increases burden on educators. Therefore, this study aims to use machine model build evaluate levels for art education. To improve prediction accuracy model, SVM was adopted as basic in study, combined with SSA, ISSA, KPCA-ISSA algorithms turn form composite model. Through experimental analysis accuracy, found that KPCA-ISSA-SVMM reached highest, at 96.7213%, while only 91.8033%. Moreover, by putting results four models into confusion matrix, it be an increase complexity probability classification errors gradually decreases. It seen from importance experiment achievements target subjects (PEG) have greatest influence effect, score is 9.5958. should pay more attention characteristic value when levels.
Язык: Английский
Процитировано
2
IMPROVEMENT Jurnal Ilmiah untuk peningkatan mutu manajemen pendidikan, Год журнала: 2024, Номер 11(1), С. 100 - 116
Опубликована: Июнь 30, 2024
This research explores the role of self- efficacy as a mediator in influence between work commitment, Total Quality Management (TQM), and teacher performance. The survey method was used to collect data based on purposive sampling from 55 teachers 3 junior high schools Ponorogo Regency. Data collection carried out using questionnaire consisting Likert scale with 5 alternative answers. PLS-SEM analysis analyze test model context. results show that commitment has significant effect self-efficacy Furthermore, proven not mediate These findings highlight importance facilitating development performance through implementation total quality management. practical implication this is creating environment supports self-efficacy. Educational institutions can provide social support, recognition contributions, opportunities participate professional activities. By conducive strengthen self-efficacy, TQM are hoped run more effectively.
Язык: Английский
Процитировано
2
Heliyon, Год журнала: 2023, Номер 9(8), С. e19274 - e19274
Опубликована: Авг. 1, 2023
Changes in educational systems and English teaching strategies have increased the need for automatic methods Teaching Quality Evaluation (ETQE). A practical model ETQE applies different fields, determines most relevant factors quality (TQ), has optimal performance conditions. This paper presents a new method based on Artificial Intelligence (AI) meta-heuristic algorithms to solve problem. The proposed performs prediction process two phases: "determination of related indicators" "quality prediction". During first phase, after introducing set 24 candidate indicators, an subset them having maximum correlation with minimum redundancy are selected using Bee Colony (ABC) algorithm. In second phase method, Classification Regression Tree (CART) optimized by ABC applied predict ETQ indicators determined phase. this learning model, split points decision nodes way that accuracy would be maximized. been evaluated environments. studied environments face-to-face (FF) online classes were held middle school university students, respectively. Based obtained results, can more than 98.99% both tested scenarios, which results increase at least 1.11% compared previous methods. efficiency scenarios prove generality used real-world applications.
Язык: Английский
Процитировано
5
Journal of Informatics Education and Research, Год журнала: 2024, Номер 4(2)
Опубликована: Май 1, 2024
This paper proposes a new structure for management and machine learning in higher education institutions, which is designed to improve the efficiency of an organization success students at whole. The framework brings about enactment several analytical techniques, like predictive modeling data-driven decision making, help make accurate strategies planning providing continuous improvement. Four algorithms learning- Linear Regression, Decision Tree, Random Forest Multilayer Perceptron- are compared see if they predict important performance markers student success, faculty productivity institutional efficiency. results illustrate Perceptron algorithm as best performer, getting MSE 0.018 MAE 0.105, while R2 score 0.842, showing superiority MLP over others. Validation studies done comparing it with base line models or related field proof that suggested model widely applicable among spectrum dealing involved issues. imaginable seems be prospective tool stimulating creativity, inclusion, eminence academia adding knowledge acquisition achieving institute objectives.
Язык: Английский
Процитировано
1