An Online Multi-User Real-Time Seamless Co-Reading System for Collaborative Group Learning

Chang, Chih-Tsan; Tsai, Cheng‐Yu; Tsai, Hung-Hsu; Li, Yuen-Ju; Yu, Pao-Ta

doi:10.4018/ijdet.2020100104

Cited by 3 publications

(2 citation statements)

References 28 publications

(9 reference statements)

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“…et al proposed a collaborative learning co-reading performance. Experiments revealed that the system significantly impacted students' learning outcomes during co-reading and that six out of seven hypotheses were supported [10].…”

Section: Related Workmentioning

confidence: 94%

Design of Personalized Recommendation and Sharing Management System for Science and Technology Achievements based on WEBSOCKET Technology

Zuo,

Xiao,

Mao

2023

IJACSA

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s-Scientific research is becoming more and more crucial to contemporary society as the backbone of the nation's innovation-driven development. The rapid growth of information technology and the rise of information technology in scientific research both contribute to the globalization of scientific research. Small research groups still don't have a place to showcase and share their accomplishments, though. In order to integrate scientific research information and combine personalised recommendation technology to suggest developments of interest to users through their historical behaviour data, the study proposes a personalised recommendation and sharing management system for scientific and technological achievements based on the Ruby on Rails framework. According to the testing results, the system had a 299ms request response time, a maximum 1KB request resource size, and a 20ms data transfer time. Additionally, the study's user-based collaborative filtering recommendation algorithm has an accuracy rate of 41% when the nearest neighbor parameter is set to 50, there are 10 information suggestions, and there are 0.7 training sets, which essentially satisfies the system criteria. In conclusion, the research suggested that a personalised recommendation and sharing management system for scientific and technological accomplishments can essentially satisfy the needs of small research teams to communicate and share scientific accomplishments, as well as realise the sharing of scientific achievements.

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Section: Related Workmentioning

confidence: 94%

Design of Personalized Recommendation and Sharing Management System for Science and Technology Achievements based on WEBSOCKET Technology

Zuo,

Xiao,

Mao

2023

IJACSA

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“…The results show that the proposed model is much superior than the past work in terms of hint prediction by at least 12%. In terms of student grouping for online cooperative learning, Chang et al [13] proposed an online multi-user real-time co-reading system to improve the co-reading performance in collaborative learning. The system can be integrated into a learning management system to support the grouping mechanisms during instruction and thereby enhance students' interaction through co-reading.…”

Section: Introductionmentioning

confidence: 99%

A Student Grouping Method for Massive Online Collaborative Learning

Wang¹,

Qi²

2022

Int. J. Emerg. Technol. Learn.

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As a brand-new learning strategy, cooperative learning can greatly improve the quality of classroom teaching and the teamwork and learning efficiency of students. The conventional student grouping models for cooperative learning take less consideration of the complementarity of students’ knowledge structures and learning interests, so they are not quite suitable for online teaching, which is provided for a huge number of students and has a large scale of learning resources and great freedom of choice. To this end, this paper studies the student grouping method for massive online collaborative learning. Firstly, the problem of identifying the student’s knowledge state was described and characterized, and a diagnosis model of students’ knowledge state simulating the cooperative learning process was constructed based on the gated recurrent neural network. The creation of an online collaborative learning scenario that considers both the knowledge state and interests of students was regarded as an NP-hard problem, and then, the enhanced particle swarm optimization algorithm was adopted to realize the grouping of students for massive online collaborative learning. The experimental results verified the effectiveness of the model constructed in this paper.

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Design of Personalised English Distance Teaching Platform Based on Artificial Intelligence

Huang

2022

J. Info. Know. Mgmt.

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In the application of the existing distance education platform, the server load is often unbalanced, which increases the response time of the platform. This paper designs a personalised English distance teaching platform based on artificial intelligence. Put forward the overall architecture of the platform, and design the platform on this basis. In order to realise the personalised course resource recommendation function, a collaborative filtering personalised recommendation algorithm is designed to get the best course recommendation results. Using artificial intelligence technology to set up multipoint control unit, the task balance is allocated to multiple operation units, and the reasonable allocation of curriculum resources is realised. According to the functional requirements of the platform design, the composition of functional modules is further set to realise the scheduling and management of curriculum resources. The experimental results show that, under the condition of the same number of concurrent users, the average response time of this design platform is less than that of the existing distance teaching platform, which shows that it has certain advantages in server load balancing and resource scheduling, which can improve the rapid response ability of the platform and enhance the stability of the platform.

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An Online Multi-User Real-Time Seamless Co-Reading System for Collaborative Group Learning

Cited by 3 publications

References 28 publications

Design of Personalized Recommendation and Sharing Management System for Science and Technology Achievements based on WEBSOCKET Technology

Design of Personalized Recommendation and Sharing Management System for Science and Technology Achievements based on WEBSOCKET Technology

A Student Grouping Method for Massive Online Collaborative Learning

Design of Personalised English Distance Teaching Platform Based on Artificial Intelligence

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