Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022)

Survey Analysis of E-Cigarette and Volunteer Team Optimized Organization in High School in the Those to USA Based on Information Technology

Authors
Jiapeng Lyu1, *
1Stuyvesant High School, New York, USA
*Corresponding author. Email: Alu20@stuy.edu
Corresponding Author
Jiapeng Lyu
Available Online 9 December 2022.
DOI
10.2991/978-94-6463-012-1_70How to use a DOI?
Keywords
E-Cigarette; Survey Analysis; Volunteer Team Organization; High School
Abstract

E-cigarettes have become extremely popular among adolescents. Although much research has been conducted to find ways to reduce vaping, the results mostly recommend educating students about the detriments of doing so. However, in schools where students were well aware of the risks associated with vaping, the deans needed to take a different approach to combat the E-cigarette problem. One such school is Stuyvesant High School in New York - one of the best public schools in the state. We decided to survey its students to find the best way to reduce vaping in the aforementioned circumstances and that schools should clarify their policies on vaping and punish students, especially those who sell E-cigarette pods to other students. In addition to exploring the school’s policy changes, we also helped student groups aimed at reducing vaping by showing a method they could use to determine the number and kind of members they need to incorporate into their club through an optimization model. The method suggests dividing potential members into different categories, represented by different variables and separated through their special skills. Then, make an intuitive assumption about the likely situation after the team is formed, such as the time committed by each member every week and the tasks that should be performed in a set amount of time. Estimate the amount of time and effort the task requires from each member with a different skill. This will plainly show the minimum number of members with the skills required to complete the task on time, thus forming one of the constraints in the optimization problems. After creating as many constraints as the situation requires, the problem solver can consolidate the constraints into a model, which can be entered into a program to find the solution.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
9 December 2022
ISBN
10.2991/978-94-6463-012-1_70
ISSN
2667-128X
DOI
10.2991/978-94-6463-012-1_70How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Jiapeng Lyu
PY  - 2022
DA  - 2022/12/09
TI  - Survey Analysis of E-Cigarette and Volunteer Team Optimized Organization in High School in the Those to USA Based on Information Technology
BT  - Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022)
PB  - Atlantis Press
SP  - 639
EP  - 650
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-012-1_70
DO  - 10.2991/978-94-6463-012-1_70
ID  - Lyu2022
ER  -