Design and Application of Dance Teaching and Evaluation System Based on Big Data DOI Open Access

Sa Li,

Jingjing Dong

International Journal of Web-Based Learning and Teaching Technologies, Год журнала: 2023, Номер 19(1), С. 1 - 18

Опубликована: Дек. 22, 2023

In order to deeply analyze and evaluate the changes in comprehensive quality of college students' sports dance, overall idea systematically evaluating dance was established. Firstly, this article uses triangular fuzzy number method measure evaluation information evaluator's curriculum plan according indicators. Then, from different groups analytic hierarchy process (AHP) are used determine weight each index. Finally, constructs a website system based on Python's Django framework. final test questionnaire survey, it found that users were relatively satisfied with accuracy their evaluations believed accurate performance in-depth learning data analysis would help them save more time effort course selection.

Язык: Английский

Artificial intelligence for teaching and learning in schools: The need for pedagogical intelligence DOI
Brayan Díaz, Miguél Nussbaum

Computers & Education, Год журнала: 2024, Номер 217, С. 105071 - 105071

Опубликована: Май 9, 2024

Язык: Английский

Процитировано

28

Educational Approaches with ΑΙ in Primary School Settings: A Systematic Review of the Literature Available in Scopus DOI Creative Commons
Spyridon Aravantinos, Konstantinos Lavidas, Iro Voulgari

и другие.

Education Sciences, Год журнала: 2024, Номер 14(7), С. 744 - 744

Опубликована: Июль 6, 2024

As artificial intelligence (AI) becomes increasingly prevalent, it has become a topic of interest in education. The use AI education poses complex issues, not only terms its impact on teaching and learning outcomes but also the ethical considerations regarding personal data individual needs each student. Our study systematically analyzed empirical research primary education, specifically for children aged 4–12 years old. We reviewed 35 articles indexed SCOPUS, filtered them according to Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines, them, categorized findings. focused studies’ objectives, content, outcomes, activities, pedagogy activities or tools. categorization resulted three main categories objectives creation, implementation, evaluation tools five content: ML (machine learning) concepts STEM STEAM, language learning, mathematics, arts, various other subjects. were split into four categories: apply, engage, interact, use; project-based with multiple activities; experience practice; students as tutors. levels: cognitive, affective, psychomotor. falls constructivism, experiential AI-assisted learning. implications teacher professional development are discussed.

Язык: Английский

Процитировано

26

Design of Online Music Education System Based on Artificial Intelligence and Multiuser Detection Algorithm DOI Open Access
Yan Hua

Computational Intelligence and Neuroscience, Год журнала: 2022, Номер 2022, С. 1 - 11

Опубликована: Март 24, 2022

With the development of information technology, online music education has become a mainstream method. Especially after outbreak COVID-19, teachers have to teach through online. Therefore, an system that can improve quality teaching is particularly important. Multiuser detection algorithms and artificial intelligence important applications in many fields, field no exception. This paper takes distance unit as goal conducts sufficient research on educational subjects such teachers, students, administrators. And with help SCMA multiuser algorithm analysis design method used analyze function system. The module involves basic management, student assignments, courses, other levels, providing excellent example for education. conclusion shows based designed this significantly audience’s learning efficiency obvious benefits group.

Язык: Английский

Процитировано

18

Artificial Intelligence and Information Processing: A Systematic Literature Review DOI Creative Commons
Keng-Yu Lin, Kuei‐Hu Chang

Mathematics, Год журнала: 2023, Номер 11(11), С. 2420 - 2420

Опубликована: Май 23, 2023

This study aims to understand the development trends and research structure of articles on artificial intelligence (AI) information processing in past 10 years. In particular, this analyzed 13,294 papers published from 2012 2021 Web Science, used bibliometric analysis method visualize data papers, drew a scientific knowledge map. By exploring mainstream journals, author country rankings, keyword evolution, field rankings years, uncovered key affecting AI progress that provide insights serve as an important reference for future processing. The results revealed gradual increase publications over decade, with explosive growth after 2020. most prolific researchers were Xu, Z.S.; Pedrycz, W.; Herrera-Viedma, E.; major contributing countries China, USA, Spain. research, keywords including “Deep learning”, “Machine “Feature extraction” are components play crucial role. Additionally, representative areas “Engineering”, “Operations Research Management Science”, “Automation Control Systems”. Overall, overview latest Although have been applied various areas, many other sub-topics can be further applied. Based findings, presented proposed suggestions directions

Язык: Английский

Процитировано

7

Design and Application of Dance Teaching and Evaluation System Based on Big Data DOI Open Access

Sa Li,

Jingjing Dong

International Journal of Web-Based Learning and Teaching Technologies, Год журнала: 2023, Номер 19(1), С. 1 - 18

Опубликована: Дек. 22, 2023

In order to deeply analyze and evaluate the changes in comprehensive quality of college students' sports dance, overall idea systematically evaluating dance was established. Firstly, this article uses triangular fuzzy number method measure evaluation information evaluator's curriculum plan according indicators. Then, from different groups analytic hierarchy process (AHP) are used determine weight each index. Finally, constructs a website system based on Python's Django framework. final test questionnaire survey, it found that users were relatively satisfied with accuracy their evaluations believed accurate performance in-depth learning data analysis would help them save more time effort course selection.

Язык: Английский

Процитировано

0