Research Report on the Development of "Second Classroom" in Higher Vocational Colleges under the Background of "Sanquan Education" —— A Case Study of Artificial Intelligence Institute of Liuzhou Railway Vocational and Technical College

2020 ◽  
Vol 18 (2) ◽  
pp. 123-131
Author(s):  
Pujiartini Pujiartini ◽  
Ulung Pribadi

This study uses qualitative descriptive methods. The type of data used in this analysis is secondary data from library analysis surveys, research-related data from various sources, websites, and government documents that can facilitate the completion of this research report. In the era of globalization, all private companies and state-owned enterprises (BMUN) already have various advanced machine technology features as one of the tools that will facilitate human performance to improve the economy. As found in PT Terminal, Teluk Lamong (PT TTL) already has various tools for unloading advanced goods or known as artificial intelligence (AI). This tool can help performance and has a unique concept, namely, Go green (No pollution).


2021 ◽  
Author(s):  
Xiaobing Yu

Abstract A smart classroom is a technology-based learning approach that helps to improve students ' skills in vocational colleges. It allows educators to create an interactive experience during teaching, which makes the system even more appealing and collaborative in learning strategies.In this paper, Advanced Artificial Intelligence assisted Learning model (AAILM)is used to design a smart interactive education system for vocational education.A qualitative approach is used on 40 vocational colleges around Chinato analyze thefindings, interviews, and focus group dialogue based on the learning strategies followed by students and teachers. Furthermore, the results of this analysis showed many improvements in the positions of teachers and students in the smart learning program.The study consisted of 102 students, and the results have been checkedbased on F-Test and T-Test. The result findings revealed that the academic successes of students in traditional and vocational colleges vary significantly and computed with graphical illustration as well as case study. The use of smart instruction has dramatically increased the success of teachers and students has been firmly researched in this paper. The simulation results illustrate that the suggestedmodelhas a high student's performance ratio of 98.6%, a prediction ratio of 95.7%, a student engagement ratio of 94.6%, a task analysis ratio of 96.8%, an efficiency ratio of 97.8% when compared to other existing methods.


2021 ◽  
Vol 77 (18) ◽  
pp. 3241
Author(s):  
Andrew S. Tseng ◽  
Michal Shelly-Cohen ◽  
Zachi Itzhak Attia ◽  
Peter Noseworthy ◽  
Paul Friedman ◽  
...  

Author(s):  
Xin Wang ◽  
Nian Yin ◽  
Zhinan Zhang

Abstract Early childhood education has long-lasting influences on people, and an appropriate companion toy can play an essential role in children's brain development. This paper establishes a complete framework to guide the design of intelligent companion toys for preschool children from 2 to 6 years old, which is child-centered and environment-oriented. The design process is divided into three steps: requirement confirmation, the smart design before the sale, and the iterative update after the sale. This framework considers the characteristics of children and highlights the integration of human and artificial intelligence in design. A case study is provided to prove the superiority of the new framework. In addition to enriching the research on intelligent toy design, this paper also guides for practitioners to design smart toys and helps in children's cognitive development.


Author(s):  
Gabrielle Samuel ◽  
Jenn Chubb ◽  
Gemma Derrick

The governance of ethically acceptable research in higher education institutions has been under scrutiny over the past half a century. Concomitantly, recently, decision makers have required researchers to acknowledge the societal impact of their research, as well as anticipate and respond to ethical dimensions of this societal impact through responsible research and innovation principles. Using artificial intelligence population health research in the United Kingdom and Canada as a case study, we combine a mapping study of journal publications with 18 interviews with researchers to explore how the ethical dimensions associated with this societal impact are incorporated into research agendas. Researchers separated the ethical responsibility of their research with its societal impact. We discuss the implications for both researchers and actors across the Ethics Ecosystem.


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