Meilan Zhang
Biographic Data
| ID | 6509505 |
|---|---|
| NAME | Meilan Zhang |
| GIVEN NAMES | Meilan |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG M |
| AFFILIATIONS | Michigan State University |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 28 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 2 |
Data‐driven models employed to waste plastic in China
It is crucial to precisely predict the generation of plastic waste and realize its fine classification in terms of policy demand and environmental benefits. Only a few studies have used the date‐driven model to forecast the amount of plastic waste. The benefits of classifying the plastic waste using deep learning have also been only scarcely reported in the literature. Therefore, this study used the Prophet model to estimate the amount of plastic…
Using Math Apps for Improving Student Learning
Hispanic Preservice Teachers’ Peer Evaluations of Interdisciplinary Curriculum Development
This study investigated preservice teachers from two teacher education programs, elementary generalists and bilingual generalists (who will teach all subjects in both English and Spanish), about their instructional design abilities via examination of their ability to integrate interdisciplinary-themed activities into mathematics lessons. The findings illustrate the value provided by differentiating teacher preparation for preservice bilingual tea…
Understanding affordances and challenges of three types of video for teacher professional development
Understanding affordances and challenges of three types of video for teacher professional development
Using Math Apps for Improving Student Learning
Hispanic Preservice Teachers’ Peer Evaluations of Interdisciplinary Curriculum Development
This study investigated preservice teachers from two teacher education programs, elementary generalists and bilingual generalists (who will teach all subjects in both English and Spanish), about their instructional design abilities via examination of their ability to integrate interdisciplinary-themed activities into mathematics lessons. The findings illustrate the value provided by differentiating teacher preparation for preservice bilingual tea…
Data‐driven models employed to waste plastic in China
It is crucial to precisely predict the generation of plastic waste and realize its fine classification in terms of policy demand and environmental benefits. Only a few studies have used the date‐driven model to forecast the amount of plastic waste. The benefits of classifying the plastic waste using deep learning have also been only scarcely reported in the literature. Therefore, this study used the Prophet model to estimate the amount of plastic…
Computer Science (4 works) · Mathematics education (3 works) · Psychology (3 works) · Affordance (2 works) · Pedagogy (2 works) · Teacher education (2 works) · Agricultural engineering (1 work) · Bilingual education (1 work) · Chemistry (1 work) · Child Development and Digital Technology (1 work)