Design of Multimedia Intelligent Classroom Interactive Teaching System Based on Internet of Things Technology

He, Wei; Zhang, Chenghui; Wu, Yangbo

doi:10.1007/978-3-030-84383-0_38

Cited by 4 publications

(1 citation statement)

References 8 publications

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“…Computer graphic technology accompanied by multimedia learning theory developed over the last several decades has paved the way for the multimedia learning materials that we encounter on a day-to-day basis (He et al, 2021;Noyes & Garland, 2008). Exploring the ways in which we learn from these multimedia environments and future ones is key to providing quality content to learners.…”

Section: Multimedia Learning Environmentsmentioning

confidence: 99%

Examining the Accelerated Playback Hypothesis of Time-Compression in Multimedia Learning Environments: A Meta-Analysis Study

Cheng

Pastore

Ritzhaupt

2021

Journal of Educational Computing Research

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With the explosion of multimedia learning environments and the use of digital time-compression algorithms in common software and hardware, we need guidance on how to use this technology without sacrificing quality and learning outcomes. The purpose of the meta-analysis is to examine the existing empirical research literature to derive an overall integrated model for the use of digital time-compression algorithms in multimedia learning environments. We frame this research by coining the accelerated playback hypothesis, which posits that learning outcomes will not diminish with accelerated playback of multimedia learning materials until a threshold is reached. Systematically searching twelve academic databases and filtering the literature, we identified seven qualified manuscripts with k = 18 independent effect size comparisons using time-compression in the context of multimedia learning. The overall effect size for playback speed 1.4–1.5x is small and significant at g = −0.212 [95% CI = −0.378, −0.045]. The overall effect size for playback speed 1.8–2.0x is small and non-significant at g = −0.362 [95% CI = −0.743 to 0.019]. Discussion and implications for practice and research are provided.

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Section: Multimedia Learning Environmentsmentioning

confidence: 99%

Examining the Accelerated Playback Hypothesis of Time-Compression in Multimedia Learning Environments: A Meta-Analysis Study

Cheng

Pastore

Ritzhaupt

2021

Journal of Educational Computing Research

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The Construction of Wisdom Teaching Mode of Physical Education and Training in Colleges and Universities in the Internet Era

Qian

2024

Applied Mathematics and Nonlinear Sciences

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The rise of the intelligent teaching model, relying on artificial intelligence and digital information technology, provides students with personalized and autonomous learning pathways. The model encourages students to learn independently and develop personally by integrating online and offline learning resources, enhancing their innovation and practical skills. Educational innovation has focused on exploring how to effectively incorporate competent teaching resources to improve teaching efficiency and students’ physical education skills. This study designed a new smart teaching mode for physical training science using blended learning theory and artificial intelligence technology. The differences in students’ physical education performance, participation, and satisfaction between the traditional and intelligent teaching modes were analyzed by comparison. The students who used innovative teaching methods in the study were better than those who used conventional teaching methods in 100-meter sprint and basketball shooting accuracy, with an average improvement rate of 15%. According to the study, the intelligent teaching mode can effectively enhance students’ physical education learning efficiency and mastery of movement skills, paving the way for a new development direction in college physical education.

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The classroom interaction and learning effect are enhanced by the intelligent teaching system in the high-quality development of colleges and universities

Sun

2024

Applied Mathematics and Nonlinear Sciences

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In recent years, Artificial Intelligence (AI) technology has developed rapidly, bringing new opportunities for the innovation of education. This paper adopts Bayesian network and Agent technology to construct an intelligent teaching system, which can formulate and implement guided learning strategies according to the individual, actively collect the most interesting information for the learners through the intelligent Agent proxy server, automatically generate a variety of questions and exercises, and reasonably plan and adjust the learning content and progress. Introducing knowledge points as the foundation of teaching resources, establishing connections between them, constructing dynamic knowledge tree models, and implementing intelligent interactive teaching strategies in the teaching system. Teaching research shows that with the empowerment of the intelligent teaching system, the effective interactive behavior of teachers and students covers up to 92.75% of the classroom time, which is significantly higher than the traditional coverage rate of 78.89%, effectively improving the effect of teacher-student interactions in the university classroom, while the academic performance of the experimental class has also been significantly improved. The intelligent teaching system is more effective in enhancing the high-quality development of universities.

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Design of Multimedia Intelligent Classroom Interactive Teaching System Based on Internet of Things Technology

Cited by 4 publications

References 8 publications

Examining the Accelerated Playback Hypothesis of Time-Compression in Multimedia Learning Environments: A Meta-Analysis Study

Examining the Accelerated Playback Hypothesis of Time-Compression in Multimedia Learning Environments: A Meta-Analysis Study

The Construction of Wisdom Teaching Mode of Physical Education and Training in Colleges and Universities in the Internet Era

The classroom interaction and learning effect are enhanced by the intelligent teaching system in the high-quality development of colleges and universities

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