Data driven course scheduling to ensure timely graduation-Reference-Cited by-同舟云学术

Data driven course scheduling to ensure timely graduation

Published:2021-05-06 Issue: Volume: Page:1-26
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Chen Ming¹,Huang Xuan²,Chen Hongyu³,Su Xuemei¹,Yur-Austin Jasmine⁴

Affiliation:

1. Department of Management/HRM, College of Business, California State University, Long Beach, CA, USA

2. Department of Accountancy, College of Business, California State University, Long Beach, CA, USA

3. Department of Information Systems, College of Business, California State University, Long Beach, CA, USA

4. Department of Finance, College of Business, California State University, Long Beach, CA, USA

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.1916118

Reference39 articles.

1. Backer, P., J. Green, B. Matlen, and C. Kato. 2018. “Impact on First Year Initiatives on Retention Students: Are There Differences in Retention of Students by Ethnicity and Gender?” Collaborative Network for Engineering and Computing Diversity. https://www.asee.org/public/conferences/113/papers/24086/view.

2. Backer, P. R., and C. Kato. 2017. “Effect of Cohorts on Student Retention in Engineering.” ASEE Annual Conference Proceedings. https://www.asee.org/public/conferences/78/papers/19232/view.

3. Backer, P. R., and C. Kato. 2020. “Strategies to Increase the 4-Year Graduate Rate of Engineering Students at XXX University.” Paper presented at the American Society for Engineering Education, ASEE's Virtual Conference, July 22–26.

4. A two-stage multiobjective scheduling model for [faculty-course-time] assignments

5. A multi-objective course scheduling model: Combining faculty preferences for courses and times

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