| مشخصات مقاله | |
| ترجمه عنوان مقاله | ادغام مباحث کلان داده و محاسبات ابری در برنامه های درسی محاسبات: یک رویکرد مدولار |
| عنوان انگلیسی مقاله | Integrating big data and cloud computing topics into the computing curricula: A modular approach |
| انتشار | مقاله سال 2021 |
| تعداد صفحات مقاله انگلیسی | 13 صفحه |
| هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
| پایگاه داده | نشریه الزویر |
| نوع نگارش مقاله |
مقاله پژوهشی (Research Article) |
| مقاله بیس | این مقاله بیس نمیباشد |
| نمایه (index) | Scopus – Master Journals List – JCR |
| نوع مقاله | ISI |
| فرمت مقاله انگلیسی | |
| ایمپکت فاکتور(IF) |
3.734 در سال 2020 |
| شاخص H_index | 87 در سال 2020 |
| شاخص SJR | 0.638 در سال 2020 |
| شناسه ISSN | 0743-7315 |
| شاخص Quartile (چارک) | Q1 در سال 2020 |
| فرضیه | ندارد |
| مدل مفهومی | ندارد |
| پرسشنامه | ندارد |
| متغیر | ندارد |
| رفرنس | دارد |
| رشته های مرتبط | مهندسی کامپیوتر |
| گرایش های مرتبط | رایانش ابری |
| نوع ارائه مقاله |
ژورنال |
| مجله | مجله محاسبات موازی و توزیع شده – Journal of Parallel and Distributed Computing |
| دانشگاه | Department of Computer Science, Winston-Salem State University, Winston-Salem, USA |
| کلمات کلیدی | کلان داده، پردازش ابری، مدول، برنامه درسی CS ،یادگیری مبتنی بر شایستگی |
| کلمات کلیدی انگلیسی | Bigdata – Cloud computing – Module – CS curriculum – Competency-based learning |
| شناسه دیجیتال – doi |
https://doi.org/10.1016/j.jpdc.2021.07.012 |
| کد محصول | E15840 |
| وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
| دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
| سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
| فهرست مطالب مقاله: |
| Highlights Abstract Keywords Introduction Motivation and related works Modules “Computer Architecture” (CA) module “Analysis of Algorithm” (AA) module “Database Management” (DB) module “Operating Systems” (OS) module Student interest and learning experience Discussions Conclusions Declaration of Competing Interest Acknowledgements Appendix A. References |
| بخشی از متن مقاله: |
| Abstract Big data and cloud computing collectively offer a paradigm shift in the way businesses are now acquiring, using, and managing information technology. This creates the need for every CS student to be equipped with foundational knowledge in this collective paradigm and possess some hands-on experience in deploying and managing big data applications in the cloud. This study argues that, for substantial coverage of big data and cloud computing concepts and skills, the relevant topics need to be integrated into multiple core courses across the CS curriculum rather than creating additional courses and performing a major overhaul of the curriculum. Our approach to including these topics is to develop autonomous competency-based learning modules for specific core courses in which their coverage might find an appropriate context. In this paper, four such modules are discussed, and our classroom experiences during these interventions are documented. Student performance data and survey results show reasonable success in attaining student learning outcomes, enhanced engagement, and interests. Introduction In today’s world, the analysis of ‘bigdata’ becomes a highpriority task for many fields of study, and data-driven discovery and decision processes now guide many sectors of our business and economy. At the development level, analyzing bigdata requires proficiency in specialized algorithms and methodologies due to the fundamentally distributed and parallel nature of the workloads. In contrast, cloud computing skills are paramount at the infrastructure level to acquire a pool of virtual resources in a ‘pay-asyou-go’ fashion to deploy and manage these workloads. Being an applied field of Parallel and Distributed Computing (PDC), Bigdata and cloud computing collectively offer a paradigm shift in the way businesses are now acquiring, using, and managing information technology. |