| Autor: |
Janine Roccosalvo, Annie Han, Yanqing Ji, Yun Tian, Ashwin Satyanarayana, Jun Zhang, Ahmet Mete Kok, Hon Jie Teo, Fangyang Shen, Yang Yi, Xiangdong Li |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Advances in Intelligent Systems and Computing ISBN: 9783030704155 |
| DOI: |
10.1007/978-3-030-70416-2_47 |
| Popis: |
This research analyzes how remote learning models are utilized in STEM Education. The E-NEST project developed online teaching models to instruct teaching interns during the unprecedented times of the coronavirus pandemic including mentorships, internships and culturally responsive teaching summer workshops. Based on key findings from data collection and program evaluations from the National Science Foundation Robert Noyce Teacher Scholarship program, a comprehensive online learning classroom was created to teach cultural diversity in STEM Education with modified project management and recruitment approaches. As a result, E-NEST online internships and professional development workshops were effective and promoted student achievement during the transition to remote learning. The project team learned the functions of online apps to instruct students and gained experience in facilitating online learning classes. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
