Machine learning-based app for self-evaluation of teacher-specific instructional style and tools
Course instructors need to assess the efficacy of their teaching methods, but experiments in education are seldom politically, administratively, or ethically feasible. Quasi-experimental tools, on the other hand, are often problematic, as they are typically too complicated to be of widespread use to...
Saved in:
Main Authors: | Duzhin, Fedor, Gustafsson, Anders |
---|---|
Other Authors: | School of Physical and Mathematical Sciences |
Format: | Article |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/103517 http://hdl.handle.net/10220/47358 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Tutorial on prescriptive analytics for logistics: what to predict and how to predict
by: Tian, Xuecheng, et al.
Published: (2024) -
A fair evaluation of the potential of machine learning in maritime transportation
by: Luo, Xi, et al.
Published: (2024) -
Learning analytics tool for student performance
by: Teo, Andrew Shaoming
Published: (2024) -
Predictive taxonomy analytics (LASSO): predicting outcome types of cyber breach
by: Goh, Jing Rong, et al.
Published: (2024) -
Machine Learning based Prediction of Thermal Comfort in Buildings of Equatorial Singapore
by: Chaudhuri, Tanaya, et al.
Published: (2017)