Name
Abstract | ||
|---|---|---|
Providing valuable and timely feedback for students is a difficult task. How can we use machine learning to aid this? Participants attending this panel session will learn about various implementations of machine learning algorithms in providing useful feedback for students. These applications will include determining conceptual understanding, tailoring a student's individual learning pathway and providing feedback on components of programming. The panel will then explore how this area might develop in the future. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TALE.2018.8615231 | PROCEEDINGS OF 2018 IEEE INTERNATIONAL CONFERENCE ON TEACHING, ASSESSMENT, AND LEARNING FOR ENGINEERING (TALE) |
Keywords | DocType | ISSN |
feedback, automated, machine learning, text analysis | Conference | 2374-0191 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Samuel Cunningham-Nelson | 1 | 0 | 0.34 |
| M. Jean Mohammadi-Aragh | 2 | 0 | 0.34 |
| Andrea M. Goncher | 3 | 5 | 2.50 |
| Wageeh W. Boles | 4 | 155 | 19.82 |