Course and Training Models Online Application Services (LAO-KURSUS) and Learning Management System (LMS) to Improve Student Competencies

Jamaluddin, Jamaluddin; Bundu, Patta; Anshari, Anshari; Yunus, Muhammad

doi:10.13189/ujer.2021.090615

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…In the whole process, in the first step, teachers import the standardized evaluation scores of students into the student scoring management system. The evaluation scores generated by students in other external learning systems are imported into the big data exchange center [20]. Through the filtering and transformation of the data center, the data is stored in the student's grade management system and the two parts of the data together form the student's standardized evaluation data.…”

Section: Acquisition Of Teacher Guidance Informationmentioning

confidence: 99%

Design of the Online Learning System for College Physical Education Teaching Based on the BP Neural Network

Bin

Wang

2022

Wireless Communications and Mobile Computing

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The popularization of the campus network provides the possibility for the realization of online sports teaching. Based on the current situation of college physical education, the existing electronic textbooks, individual technical education software, educational videos, and other resources are neatly integrated. It builds a sports network education platform that is helpful for students to learn and realizes open interactive education. Nowadays, with the development of the Internet, artificial intelligence technology has solved many problems for people. The learning model combining artificial intelligence and online education has also become a new trend of educational informatization. This paper is based on the BP neural network in artificial intelligence to explore the design of the college sports teaching system in school. The purpose of this paper is at developing an online learning system suitable for college sports, so as at improving the learning efficiency and learning experience of college sports students. This paper firstly introduces the background and research significance of online learning, the BP neural network. Then, it introduces the design of the BP neural network and online system; in this paper, a series of introductions are given to its structure, function, and recommendation algorithm. Afterwards, this paper tests the performance of the designed system and finds that the average response time of the system is 0.978 s. Finally, this paper does a questionnaire survey to the users of the learning system. It is found that both in the recognition and in the liking sections, the satisfaction of students and teachers is relatively high.

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Section: Acquisition Of Teacher Guidance Informationmentioning

confidence: 99%

Design of the Online Learning System for College Physical Education Teaching Based on the BP Neural Network

Bin

Wang

2022

Wireless Communications and Mobile Computing

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“…Key skills in learning management include curriculum development, which involves planning and organizing the overall learning program; assessment and evaluation, which involves measuring learning outcomes and providing feedback; and learning technology, which involves utilizing digital tools and platforms for effective and engaging learning experiences [40]. Instructional design also involves creating effective learning materials and activities [41]. As learning managers frequently collaborate with stakeholders, instructors, and students to ensure the successful implementation of learning initiatives, their capabilities also encompass leadership and communication skills.…”

Section: Promoting Virtual Learning Management Competenciesmentioning

confidence: 99%

Promoting Virtual Learning Management Competencies in the Metaverse with Mobile Technology to Support Competency-Based Learning for Computer Major Preservice Teachers

Sinlapaninman,

Yonwilad,

Pattanachai

2023

Int. J. Interact. Mob. Technol.

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The metaverse, a fundamental framework with the potential to revolutionize social communication and learning processes, offers an enhanced learner experience for accessing the real world. Proficiently developing virtual classrooms and effectively managing learning with current technology are essential skills for teachers. This study aimed to develop competency- based learning activities (CBLA) designed to enhance virtual learning management competencies among computer teacher students in the metaverse, using mobile technology to support. The research employed purposive sampling, selecting 78 students for participation. Data analysis involved statistical measures such as the mean, standard deviation, and onegroup pre-test-post-test analysis of variance (ANOVA). The findings revealed that the CBLAs developed to enhance virtual learning management competencies in the metaverse consisted of eight components and four steps. Following the completion of the learning activities, students demonstrated a significant increase in their competencies in virtual learning management, surpassing 70% of the established criteria. The statistical analysis confirmed the significance of this improvement, with a p-value of less than 0.05. This study’s results highlight the effectiveness of the developed CBLAs in enhancing virtual learning management skills among computer teacher students in the metaverse. The findings indicate that students experienced a significant improvement in their competencies after participating in the learning activities. Furthermore, the students expressed the highest levels of satisfaction conducted activities.

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“…In this B/S system, the user interface is implemented through browsers [9]. Therefore, from this feature, we can see that the biggest advantage of B/S service is simple operation and maintenance, and users can access and process data from different types of networks [10].…”

Section: B/s Systemmentioning

confidence: 99%

College Student Management System Based on K-means Clustering Algorithm

2022

IJNDE

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Student management is a problem that every university needs to solve. The purpose of this paper is to design a college student management system based on K-mean clustering algorithm. The purpose of this campus project analysis and research is to help teachers fully understand, master and adapt to students' skills, achieve the purpose of teaching, and write and develop optimized K-means algorithms. Firstly, through the analysis of the student management data, the system function module is added to the student management system. Then the number of K clusters is selected to set the total range, and the optimal value of the number of K clusters is selected by calculating the ratio of the inner and outer distances. Use the K-means method to analyse the optimization of the algorithm to analyse the performance on student management. The optimized K-mean algorithm has completed the classification of students well, and the average score of Pmoral Learning is 17.54 for the first category. College student management is a very important innovation, which has played a certain role in promoting the development of student management.

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Course and Training Models Online Application Services (LAO-KURSUS) and Learning Management System (LMS) to Improve Student Competencies

Cited by 5 publications

References 6 publications

Design of the Online Learning System for College Physical Education Teaching Based on the BP Neural Network

Design of the Online Learning System for College Physical Education Teaching Based on the BP Neural Network

Promoting Virtual Learning Management Competencies in the Metaverse with Mobile Technology to Support Competency-Based Learning for Computer Major Preservice Teachers

College Student Management System Based on K-means Clustering Algorithm

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