نوع مقاله : مقاله علمی - پژوهشی
نویسندگان
1 عضو هیئت علمی مرکز آموزش مهارت‌های مهندسی ، دانشگاه صنعتی شریف ، تهران، ایران
2 عضو هیئت علمی مرکزآموزش مهارت‌های مهندسی، دانشگاه صنعتی شریف، تهران، ایران
3 دانشجوی کارشناسی مهندسی مکانیک، دانشگاه صنعتی شریف، تهران، ایران
4 فارغ التحصیل کارشناسی مهندسی مکانیک، دانشگاه صنعتی شریف، تهران، ایران
چکیده
بحران همه‌گیری کووید-۱۹ و نیاز به آموزش برخط دروس دانشگاهی، با توجه به عدم آمادگی و نبود زیرساخت‌های کافی، چالش‌های جدی برای دانشجویان، اساتید و سامانه آموزشی ایجاد نموده است. محدودیت منابع و زمان، اولویت‌بندی پیامدهای منفی بر اساس میزان خطر آنها را به‌صورت پیشگیرانه ضروری می‌سازد. یک ابزار بسیار کارآمد در این مورد، FMEA است که به تحلیل حالات بالقوه خرابی و آثار آن می‌پردازد. این پژوهش، با پیشنهاد یک الگوریتم ۱۰ مرحله‌ای بر مبنای FMEA و با استفاده از نظرسنجی از ۱۲۰ دانشجوی شرکت‌کننده در کلاس‌های برخط، حالات متداول خرابی، شدت اثر، احتمال وقوع و امکان تشخیص پیشگیرانه آنها را استخراج و بر اساس میزان خطر اولویت‌بندی نموده است. سپس با ارائه اقدامات اصلاحی، راهکارهایی در جهت حذف یا کاهش آثار منفی آن ارائه و پیش‌بینی‌هایی در مورد آثار به کار بستن این راه‌حل‌ها انجام داده، در پایان فهرستی از مهم‌ترین اقداماتی را که می‌توان انجام داد تا از مهم‌ترین پیامدهای ناخوشایند آموزش برخط جلوگیری شود ارائه نموده است.
کلیدواژه‌ها
عنوان مقاله [English]
PROVIDING A SYSTEMATIC PREVENTIVE APPROACH TO REDUCE THE ADVERSE EFFECTS OF ONLINE UNIVERSITY EDUCATION DURING THE COVID-19 PANDEMIC
نویسندگان [English]
- Hamid Haghshenas Gorgani 1
- Alireza Jahantigh Pak 2
- Alireza Haerizadeh Nabavi 3
- Sharif Shabani 4
1 Engineering Skills Training Center, Sharif University of Technology, Tehran, Iran
2 Engineering Skills Training Center, Sharif University of Technology, Tehran, Iran
3 Mechanical Engineering Department, Sharif University of Technology, Tehran, Iran
4 Mechanical Engineering Department, Sharif University of Technology, Tehran, Iran
چکیده [English]
This article investigates the adverse effects of the COVID-19 pandemic on academic education. Limited time and resources makes it necessary to prioritize negative consequences based on their risk in a preventive manner. An effective tool for this matter is the analysis of potential failure modes and effects (FMEA). The negative consequences of the coronavirus pandemic are categorized and prioritized based on the severity, ways of diagnosis, and the probability of occurrence, using FMEA. In this study, using a survey of 120 participants, common failure modes, severity, occurrence likelihood, and preventive detection methods were investigated, and the intensity and occurrence numbers were assigned based on expert opinions. Finally, the listed breakdowns were ranked in order of deterioration. Also, corrective actions were provided to eliminate or reduce the effects of failure of the mentioned cases, and the risk priority number was re-predicted. At the end, effective solutions were presented as a list.
کلیدواژه‌ها [English]
- COVID-19 pandemic
- online education
- academic stress
- risk assessment
- preventive systematic method
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