Name
Abstract | ||
|---|---|---|
This article focuses on tracing player knowledge in educational games. Specifically, given a set of concepts or skills required to master a game, the goal is to estimate the likelihood with which the current player has mastery of each of those concepts or skills. The main contribution of the work is an approach that integrates machine learning and domain knowledge rules to find when the pla... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TG.2020.3037505 | IEEE Transactions on Games |
Keywords | DocType | Volume |
Games,Hidden Markov models,Knowledge engineering,Programming profession,Mathematical model,Concurrent computing,Bayes methods | Journal | 14 |
Issue | ISSN | Citations |
1 | 2475-1502 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pavan Kantharaju | 1 | 2 | 2.08 |
| Katelyn Alderfer | 2 | 0 | 0.68 |
| Jichen Zhu | 3 | 111 | 29.76 |
| Bruce Char | 4 | 0 | 0.34 |
| Brian Smith | 5 | 0 | 0.34 |
| Santiago Ontanon | 6 | 0 | 0.34 |